Background: Relative fat mass (RFM) is a newly developed, sex-specific anthropometric formula designed to estimate total body fat percentage. However, research investigating the correlation between RFM and the risk of non-alcoholic fatty liver disease (NAFLD) remains limited. This study evaluates the association between RFM and the risk of NAFLD within the Japanese population.
Methods: This study including 14,250 Japanese adults who underwent physical examinations at Murakami Memorial Hospital between 2004 and 2015. We employed binary logistic regression to elucidate the direct relationship between RFM levels and the incidence of NAFLD. Additionally, a generalized additive model (GAM) coupled with smooth curve fitting techniques was utilized to map the non-linear association.
Results: The cohort had an average age of 43.53 ± 8.89 years, with a male majority of 52.00%. NAFLD was identified in 17.59% of the participants. After adjusting for confounding factors, a significant positive correlation between RFM and NAFLD risk was observed (OR: 1.15, 95%CI: 1.10-1.21, P < 0.0001 for females; OR: 1.15, 95%CI: 1.10-1.19, P < 0.0001 for males). Additionally, a non-linear relationship between RFM and the incidence of NAFLD was detected in both genders. The RFM threshold was identified as 34.95 for women and 23.40 for men. RFM was positively associated with the risk of NAFLD when RFM was below the respective threshold (OR: 1.29, 95%CI: 1.19-1.40, P < 0.0001 for females; OR: 1.23, 95%CI: 1.17-1.29, P < 0.0001 for males), whereas no significant association was found when RFM was above the threshold (OR: 1.05, 95%CI: 0.98-1.12, P = 0.1829 for females; OR: 1.01, 95%CI: 0.95-1.08, P = 0.7392 for males).
Conclusion: Our findings suggest a positive, nonlinear relationship between RFM and the risk of NAFLD, with a saturation effect. These results imply that maintaining RFM at a lower level may be advantageous in mitigating the risk of NAFLD.
{"title":"The nonlinear connection between relative fat mass and non-alcoholic fatty liver disease in the Japanese population: an analysis based on data from a cross-sectional study.","authors":"Changchun Cao, Meiling Huang, Yong Han, Xiaohua Zhang, Haofei Hu, Yulong Wang","doi":"10.1186/s13098-024-01472-z","DOIUrl":"https://doi.org/10.1186/s13098-024-01472-z","url":null,"abstract":"<p><strong>Background: </strong>Relative fat mass (RFM) is a newly developed, sex-specific anthropometric formula designed to estimate total body fat percentage. However, research investigating the correlation between RFM and the risk of non-alcoholic fatty liver disease (NAFLD) remains limited. This study evaluates the association between RFM and the risk of NAFLD within the Japanese population.</p><p><strong>Methods: </strong>This study including 14,250 Japanese adults who underwent physical examinations at Murakami Memorial Hospital between 2004 and 2015. We employed binary logistic regression to elucidate the direct relationship between RFM levels and the incidence of NAFLD. Additionally, a generalized additive model (GAM) coupled with smooth curve fitting techniques was utilized to map the non-linear association.</p><p><strong>Results: </strong>The cohort had an average age of 43.53 ± 8.89 years, with a male majority of 52.00%. NAFLD was identified in 17.59% of the participants. After adjusting for confounding factors, a significant positive correlation between RFM and NAFLD risk was observed (OR: 1.15, 95%CI: 1.10-1.21, P < 0.0001 for females; OR: 1.15, 95%CI: 1.10-1.19, P < 0.0001 for males). Additionally, a non-linear relationship between RFM and the incidence of NAFLD was detected in both genders. The RFM threshold was identified as 34.95 for women and 23.40 for men. RFM was positively associated with the risk of NAFLD when RFM was below the respective threshold (OR: 1.29, 95%CI: 1.19-1.40, P < 0.0001 for females; OR: 1.23, 95%CI: 1.17-1.29, P < 0.0001 for males), whereas no significant association was found when RFM was above the threshold (OR: 1.05, 95%CI: 0.98-1.12, P = 0.1829 for females; OR: 1.01, 95%CI: 0.95-1.08, P = 0.7392 for males).</p><p><strong>Conclusion: </strong>Our findings suggest a positive, nonlinear relationship between RFM and the risk of NAFLD, with a saturation effect. These results imply that maintaining RFM at a lower level may be advantageous in mitigating the risk of NAFLD.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11438214/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-28DOI: 10.1186/s13098-024-01469-8
Silas Alves-Costa, Bruno Feres de Souza, Francisco Aparecido Rodrigues, Alexandre Archanjo Ferraro, Gustavo G Nascimento, Fabio R M Leite, Lorena Lúcia Costa Ladeira, Rosângela Fernandes Lucena Batista, Erika Bárbara Abreu Fonseca Thomaz, Claudia Maria Coelho Alves, Cecilia Claudia Costa Ribeiro
Background: Noncommunicable diseases (NCDs) predominantly affect adults, but pathophysiological changes begin decades earlier, as a continuum, with initial events apparent in adolescence. Hence, early identification and intervention are crucial for the prevention and management of NCDs. We investigated the complex network of socioeconomic, behavioral, and metabolic factors associated with the presence of NCD in Brazilian adolescents.
Methods: We conducted a cross-sectional study nested within the São Luís segment of the Ribeirão Preto, Pelotas, and São Luís (RPS) cohort's consortium, focusing on 18-19-year-olds (n = 2515). Data were collected prospectively, from which we constructed a complex network with NCD-related factors/indicators as nodes and their co-occurrences as edges. General and sex-based models analyzed: socioeconomic status, behavioral (smoking, alcohol, and other drugs use, unhealthy diet, poor sleep, physical inactivity), and metabolic factors (overweight/obesity, elevated blood pressure, poor lipid profile). We also looked for NCDs in adolescence like asthma, abnormal spirometry, depression, suicide risk, and poor oral health. The network was characterized by degree, betweenness, eigenvector, local transitivity, Shannon entropy, and cluster coefficient.
Results: The adolescents had an average age of 18.3 years, 52.3% were female and 47.7% male. 99.8% of them have a diet rich in free sugars, 15% are overweight/obese and 72.3% had an elevated TyG index. High free sugar emerged as the central hub, followed by high TyG index (an early marker of insulin resistance) and low socioeconomic class. In males, low fiber intake and a high triglycerides/HDL ratio highlighted cardiometabolic concerns; in females, sedentary behavior and poor sleep marked metabolic and psychological challenges, along with caries in both sexes.
Conclusions: Our findings provide insights into central health challenges during adolescence, such as high free sugars, insulin resistance, and low socioeconomic indicators, suggesting that interventions targeted at these central hubs could have a significant impact on their NCD network.
{"title":"High free sugars, insulin resistance, and low socioeconomic indicators: the hubs in the complex network of non-communicable diseases in adolescents.","authors":"Silas Alves-Costa, Bruno Feres de Souza, Francisco Aparecido Rodrigues, Alexandre Archanjo Ferraro, Gustavo G Nascimento, Fabio R M Leite, Lorena Lúcia Costa Ladeira, Rosângela Fernandes Lucena Batista, Erika Bárbara Abreu Fonseca Thomaz, Claudia Maria Coelho Alves, Cecilia Claudia Costa Ribeiro","doi":"10.1186/s13098-024-01469-8","DOIUrl":"https://doi.org/10.1186/s13098-024-01469-8","url":null,"abstract":"<p><strong>Background: </strong>Noncommunicable diseases (NCDs) predominantly affect adults, but pathophysiological changes begin decades earlier, as a continuum, with initial events apparent in adolescence. Hence, early identification and intervention are crucial for the prevention and management of NCDs. We investigated the complex network of socioeconomic, behavioral, and metabolic factors associated with the presence of NCD in Brazilian adolescents.</p><p><strong>Methods: </strong>We conducted a cross-sectional study nested within the São Luís segment of the Ribeirão Preto, Pelotas, and São Luís (RPS) cohort's consortium, focusing on 18-19-year-olds (n = 2515). Data were collected prospectively, from which we constructed a complex network with NCD-related factors/indicators as nodes and their co-occurrences as edges. General and sex-based models analyzed: socioeconomic status, behavioral (smoking, alcohol, and other drugs use, unhealthy diet, poor sleep, physical inactivity), and metabolic factors (overweight/obesity, elevated blood pressure, poor lipid profile). We also looked for NCDs in adolescence like asthma, abnormal spirometry, depression, suicide risk, and poor oral health. The network was characterized by degree, betweenness, eigenvector, local transitivity, Shannon entropy, and cluster coefficient.</p><p><strong>Results: </strong>The adolescents had an average age of 18.3 years, 52.3% were female and 47.7% male. 99.8% of them have a diet rich in free sugars, 15% are overweight/obese and 72.3% had an elevated TyG index. High free sugar emerged as the central hub, followed by high TyG index (an early marker of insulin resistance) and low socioeconomic class. In males, low fiber intake and a high triglycerides/HDL ratio highlighted cardiometabolic concerns; in females, sedentary behavior and poor sleep marked metabolic and psychological challenges, along with caries in both sexes.</p><p><strong>Conclusions: </strong>Our findings provide insights into central health challenges during adolescence, such as high free sugars, insulin resistance, and low socioeconomic indicators, suggesting that interventions targeted at these central hubs could have a significant impact on their NCD network.</p>","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11437919/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-19DOI: 10.1186/s13098-024-01452-3
Ahmed Ragab, Ahmed Reda Sayed, Sameh Fayek GamalEl Din, Ashraf Zeidan, Faten Fathi Ewis, Mostafa Ahmed Hamed
Irisin is an exercise-induced myokine that alleviates endothelial dysfunction and reduces insulin resistance in type 2 diabetes mellitus (T2DM). The current study aimed to assess the serum level of irisin in T2DM men with erectile dysfunction (ED) compared to T2DM patients with normal erectile function and healthy controls, as well as investigate the association between serum irisin level and the severity of ED in T2DM patients. A cross-sectional study was conducted on 90 males, divided into three groups: 32 T2DM patients with ED, 24 T2DM patients without ED, and 34 healthy controls. Socio-demographic characteristics and scores of the validated Arabic version of the international Index of Erectile Function-5 (ArIIEF-5), Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were obtained. Furthermore, routine laboratory tests employed for diabetes monitoring and serum levels of total testosterone and irisin were assessed within these groups. T2DM men with ED had significantly lower serum levels of irisin and testosterone, as well as a lower ArIIEF-5 score, but their GAD-7 and PHQ-9 scores were significantly higher than those without ED or controls (p < 0.001). Among T2DM men, serum irisin levels positively associated with ArIIEF-5 scores and serum testosterone (r = 0.413, p = 0.002; r = 0.936, p < 0.001, respectively) but negatively associated with glycosylated hemoglobin levels (r = -0.377, p = 0.004). Multivariate regression analysis to predict ED in T2DM patients found that GAD-7 score was the only most significant predictor for ED (ꞵ = − 1.176, standard error = 0.062, p < 0.001). The current study had demonstrated that irisin positively correlated with the ArIIEF-5 and serum testosterone but negatively correlated with HbA1c in T2DM men. Nevertheless, further validation of these findings is necessary through cohort studies.
{"title":"Evaluation of serum irisin level and severity of erectile dysfunction in diabetic males: a cross sectional prospective study","authors":"Ahmed Ragab, Ahmed Reda Sayed, Sameh Fayek GamalEl Din, Ashraf Zeidan, Faten Fathi Ewis, Mostafa Ahmed Hamed","doi":"10.1186/s13098-024-01452-3","DOIUrl":"https://doi.org/10.1186/s13098-024-01452-3","url":null,"abstract":"Irisin is an exercise-induced myokine that alleviates endothelial dysfunction and reduces insulin resistance in type 2 diabetes mellitus (T2DM). The current study aimed to assess the serum level of irisin in T2DM men with erectile dysfunction (ED) compared to T2DM patients with normal erectile function and healthy controls, as well as investigate the association between serum irisin level and the severity of ED in T2DM patients. A cross-sectional study was conducted on 90 males, divided into three groups: 32 T2DM patients with ED, 24 T2DM patients without ED, and 34 healthy controls. Socio-demographic characteristics and scores of the validated Arabic version of the international Index of Erectile Function-5 (ArIIEF-5), Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were obtained. Furthermore, routine laboratory tests employed for diabetes monitoring and serum levels of total testosterone and irisin were assessed within these groups. T2DM men with ED had significantly lower serum levels of irisin and testosterone, as well as a lower ArIIEF-5 score, but their GAD-7 and PHQ-9 scores were significantly higher than those without ED or controls (p < 0.001). Among T2DM men, serum irisin levels positively associated with ArIIEF-5 scores and serum testosterone (r = 0.413, p = 0.002; r = 0.936, p < 0.001, respectively) but negatively associated with glycosylated hemoglobin levels (r = -0.377, p = 0.004). Multivariate regression analysis to predict ED in T2DM patients found that GAD-7 score was the only most significant predictor for ED (ꞵ = − 1.176, standard error = 0.062, p < 0.001). The current study had demonstrated that irisin positively correlated with the ArIIEF-5 and serum testosterone but negatively correlated with HbA1c in T2DM men. Nevertheless, further validation of these findings is necessary through cohort studies.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-18DOI: 10.1186/s13098-024-01466-x
Jing Wang, Haojie Xue, Jinyu He, Li Deng, Julong Tian, Yang Jiang, Jian Feng
Diabetic cardiomyopathy (DCM) is a kind of myocardial disease that occurs in diabetes patients and cannot be explained by hypertensive heart disease, coronary atherosclerotic heart disease and other heart diseases. Its pathogenesis may be closely related to programmed cell death, oxidative stress, intestinal microbes and micro-RNAs. The excessive activation of mineralocorticoid receptors (MR) in DCM can cause damage to the heart and kidneys. The third-generation non-steroidal mineralocorticoid receptor antagonist (MRA), finerenone, can effectively block MR, thus playing a role in protecting the heart and kidneys. This review mainly introduces the classification of MRA, and the mechanism of action, applications and limitations of finerenone in DCM, in order to provide reference for the study of treatment plans for DCM patients.
{"title":"Therapeutic potential of finerenone for diabetic cardiomyopathy: focus on the mechanisms","authors":"Jing Wang, Haojie Xue, Jinyu He, Li Deng, Julong Tian, Yang Jiang, Jian Feng","doi":"10.1186/s13098-024-01466-x","DOIUrl":"https://doi.org/10.1186/s13098-024-01466-x","url":null,"abstract":"Diabetic cardiomyopathy (DCM) is a kind of myocardial disease that occurs in diabetes patients and cannot be explained by hypertensive heart disease, coronary atherosclerotic heart disease and other heart diseases. Its pathogenesis may be closely related to programmed cell death, oxidative stress, intestinal microbes and micro-RNAs. The excessive activation of mineralocorticoid receptors (MR) in DCM can cause damage to the heart and kidneys. The third-generation non-steroidal mineralocorticoid receptor antagonist (MRA), finerenone, can effectively block MR, thus playing a role in protecting the heart and kidneys. This review mainly introduces the classification of MRA, and the mechanism of action, applications and limitations of finerenone in DCM, in order to provide reference for the study of treatment plans for DCM patients.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-16DOI: 10.1186/s13098-024-01465-y
Jianping Liu, Sufang Wang, Yuan Shen, Haicun Shi, Lijian Han
To explore the influence of lipid metabolism on the risk of sarcopenia. Two-sample Mendelian randomization (MR) analysis was used to determine causality. A total of 179 lipid metabolism data points were used for exposure, and the data were obtained from a plasma lipid metabolite study of 7174 participants. The total muscle mass and total muscle strength, as well as the muscle strength and muscle mass of different sex groups, were selected as the relevant traits of sarcopenia. Data for outcomes were obtained from the UK Biobank, and sample sizes ranged from 135 468 to 450 243. Inverse-variance weighted (IVW), as the main method for evaluating the causal relationship between lipid metabolites and sarcopenia, uses the false discovery rate (FDR) for multiple comparisons and conducts heterogeneity, pleiotropy, and reverse causality tests. Twenty-seven lipid metabolites, mainly phosphatidylcholine, phosphatidylethanolamine, ceramide, triacylglycerol, sphingomyelin, and sterol ester, were found to be associated with the risk of sarcopenia. Ceramide (d40:1), ceramide (d40:2), and sterol ester are risk factors for decreased muscle mass and strength. There is a positive causal relationship between various phosphatidylcholine lipids and muscle mass and strength. Sphingomyelin (d42:2) is a protective factor for total muscle strength and female muscle strength. There are inconsistent effects between different lipid metabolites, triacylglycerol, and muscle strength and muscle mass. There was a causal relationship between 27 lipid metabolites and sarcopenia traits, and targeting specific lipid metabolites may benefit sarcopenia diagnosis, disease assessment, and treatment.
{"title":"Lipid metabolites and sarcopenia-related traits: a Mendelian randomization study","authors":"Jianping Liu, Sufang Wang, Yuan Shen, Haicun Shi, Lijian Han","doi":"10.1186/s13098-024-01465-y","DOIUrl":"https://doi.org/10.1186/s13098-024-01465-y","url":null,"abstract":"To explore the influence of lipid metabolism on the risk of sarcopenia. Two-sample Mendelian randomization (MR) analysis was used to determine causality. A total of 179 lipid metabolism data points were used for exposure, and the data were obtained from a plasma lipid metabolite study of 7174 participants. The total muscle mass and total muscle strength, as well as the muscle strength and muscle mass of different sex groups, were selected as the relevant traits of sarcopenia. Data for outcomes were obtained from the UK Biobank, and sample sizes ranged from 135 468 to 450 243. Inverse-variance weighted (IVW), as the main method for evaluating the causal relationship between lipid metabolites and sarcopenia, uses the false discovery rate (FDR) for multiple comparisons and conducts heterogeneity, pleiotropy, and reverse causality tests. Twenty-seven lipid metabolites, mainly phosphatidylcholine, phosphatidylethanolamine, ceramide, triacylglycerol, sphingomyelin, and sterol ester, were found to be associated with the risk of sarcopenia. Ceramide (d40:1), ceramide (d40:2), and sterol ester are risk factors for decreased muscle mass and strength. There is a positive causal relationship between various phosphatidylcholine lipids and muscle mass and strength. Sphingomyelin (d42:2) is a protective factor for total muscle strength and female muscle strength. There are inconsistent effects between different lipid metabolites, triacylglycerol, and muscle strength and muscle mass. There was a causal relationship between 27 lipid metabolites and sarcopenia traits, and targeting specific lipid metabolites may benefit sarcopenia diagnosis, disease assessment, and treatment.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-16DOI: 10.1186/s13098-024-01467-w
Mingrui Zou, Zhenxing Shao
Sarcopenia is a common complication of diabetes. Nevertheless, precise evaluation of sarcopenia risk among patients with diabetes is still a big challenge. The objective of this study was to develop a nomogram model which could serve as a practical tool to diagnose sarcopenia in patients with diabetes. A total of 783 participants with diabetes from China Health and Retirement Longitudinal Study (CHARLS) 2015 were included in this study. After oversampling process, 1,000 samples were randomly divided into the training set and internal validation set. To mitigate the overfitting effect caused by oversampling, data of CHARLS 2011 were utilized as the external validation set. Least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate logistic regression analysis were employed to explore predictors. Subsequently, a nomogram was developed based on the 9 selected predictors. The model was assessed by area under receiver operating characteristic (ROC) curves (AUC) for discrimination, calibration curves for calibration, and decision curve analysis (DCA) for clinical efficacy. In addition, machine learning models were constructed to enhance the robustness of our findings and evaluate the importance of the predictors. 9 factors were selected as predictors of sarcopenia for patients with diabetes. The nomogram model exhibited good discrimination in training, internal validation and external validation sets, with AUC of 0.808, 0.811 and 0.794. machine learning models revealed that age and hemoglobin were the most significant predictors. Calibration curves and DCA illustrated excellent calibration and clinical applicability of this model. This comprehensive nomogram presented high clinical predictability, which was a promising tool to evaluate the risk of sarcopenia in patients with diabetes.
{"title":"Construction and evaluation of sarcopenia risk prediction model for patients with diabetes: a study based on the China health and retirement longitudinal study (CHARLS)","authors":"Mingrui Zou, Zhenxing Shao","doi":"10.1186/s13098-024-01467-w","DOIUrl":"https://doi.org/10.1186/s13098-024-01467-w","url":null,"abstract":"Sarcopenia is a common complication of diabetes. Nevertheless, precise evaluation of sarcopenia risk among patients with diabetes is still a big challenge. The objective of this study was to develop a nomogram model which could serve as a practical tool to diagnose sarcopenia in patients with diabetes. A total of 783 participants with diabetes from China Health and Retirement Longitudinal Study (CHARLS) 2015 were included in this study. After oversampling process, 1,000 samples were randomly divided into the training set and internal validation set. To mitigate the overfitting effect caused by oversampling, data of CHARLS 2011 were utilized as the external validation set. Least absolute shrinkage and selection operator (LASSO) regression analysis and multivariate logistic regression analysis were employed to explore predictors. Subsequently, a nomogram was developed based on the 9 selected predictors. The model was assessed by area under receiver operating characteristic (ROC) curves (AUC) for discrimination, calibration curves for calibration, and decision curve analysis (DCA) for clinical efficacy. In addition, machine learning models were constructed to enhance the robustness of our findings and evaluate the importance of the predictors. 9 factors were selected as predictors of sarcopenia for patients with diabetes. The nomogram model exhibited good discrimination in training, internal validation and external validation sets, with AUC of 0.808, 0.811 and 0.794. machine learning models revealed that age and hemoglobin were the most significant predictors. Calibration curves and DCA illustrated excellent calibration and clinical applicability of this model. This comprehensive nomogram presented high clinical predictability, which was a promising tool to evaluate the risk of sarcopenia in patients with diabetes.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1186/s13098-024-01464-z
Aldair Darlan Santos-de-Araújo, Daniela Bassi-Dibai, Izadora Moraes Dourado, Cássia da Luz Goulart, Renan Shida Marinho, Jaqueline de Almeida Mantovani, Gabriela Silva de Souza, Polliana Batista dos Santos, Meliza Goi Roscani, Shane A. Phillips, Audrey Borghi-Silva
Type 2 diabetes mellitus (T2DM) and chronic heart failure (CHF) present a decrease in functional capacity due to the intrinsic nature of both pathologies. It is not known about the potential impact of T2DM on functional capacity when assessed by 6-min step test (6MST) and its effect as a prognostic marker for fatal and non-fatal events in patients with CHF. to evaluate the coexistence of T2DM and CHF in functional capacity through 6MST when compared to CHF non-T2DM, as well as to investigate the different cardiovascular responses to 6MST and the risk of mortality, decompensation of CHF and acute myocardial infarction (AMI) over 36 months. This is a prospective cohort study with 36 months of follow-up in individuals with T2DM and CHF. All participants completed a clinical assessment, followed by pulmonary function testing, echocardiography, and 6MST. The 6MST was performed on a 20 cm high step and cardiovascular responses were collected: heart rate, systemic blood pressure, oxygen saturation, BORG dyspnea and fatigue. The risk of mortality, acute myocardial infarction and decompensation of CHF was evaluated. Eighty-six participants were included. The CHF-T2DM group had a significantly lower functional capacity than the CHF non-T2DM group (p < 0.05). Forced Expiratory Volume in one second (L), ejection fraction (%), gender and T2DM influence and are predictors of functional capacity (p < 0.05; adjusted R squared: 0.419). CHF-T2DM group presented a higher risk of mortality and acute myocardial infarction over the 36 months of follow-up (p < 0.05), but not to the risk of decompensation (p > 0.05). T2DM negatively affects the functional performance of 6MST in patients with CHF. Gender, ejection fraction (%), FEV1 (L) and T2DM itself negatively influence exercise performance.
{"title":"Type 2 diabetes mellitus negatively affects the functional performance of 6-min step test in chronic heart failure: a 3-year follow-up study","authors":"Aldair Darlan Santos-de-Araújo, Daniela Bassi-Dibai, Izadora Moraes Dourado, Cássia da Luz Goulart, Renan Shida Marinho, Jaqueline de Almeida Mantovani, Gabriela Silva de Souza, Polliana Batista dos Santos, Meliza Goi Roscani, Shane A. Phillips, Audrey Borghi-Silva","doi":"10.1186/s13098-024-01464-z","DOIUrl":"https://doi.org/10.1186/s13098-024-01464-z","url":null,"abstract":"Type 2 diabetes mellitus (T2DM) and chronic heart failure (CHF) present a decrease in functional capacity due to the intrinsic nature of both pathologies. It is not known about the potential impact of T2DM on functional capacity when assessed by 6-min step test (6MST) and its effect as a prognostic marker for fatal and non-fatal events in patients with CHF. to evaluate the coexistence of T2DM and CHF in functional capacity through 6MST when compared to CHF non-T2DM, as well as to investigate the different cardiovascular responses to 6MST and the risk of mortality, decompensation of CHF and acute myocardial infarction (AMI) over 36 months. This is a prospective cohort study with 36 months of follow-up in individuals with T2DM and CHF. All participants completed a clinical assessment, followed by pulmonary function testing, echocardiography, and 6MST. The 6MST was performed on a 20 cm high step and cardiovascular responses were collected: heart rate, systemic blood pressure, oxygen saturation, BORG dyspnea and fatigue. The risk of mortality, acute myocardial infarction and decompensation of CHF was evaluated. Eighty-six participants were included. The CHF-T2DM group had a significantly lower functional capacity than the CHF non-T2DM group (p < 0.05). Forced Expiratory Volume in one second (L), ejection fraction (%), gender and T2DM influence and are predictors of functional capacity (p < 0.05; adjusted R squared: 0.419). CHF-T2DM group presented a higher risk of mortality and acute myocardial infarction over the 36 months of follow-up (p < 0.05), but not to the risk of decompensation (p > 0.05). T2DM negatively affects the functional performance of 6MST in patients with CHF. Gender, ejection fraction (%), FEV1 (L) and T2DM itself negatively influence exercise performance.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-14DOI: 10.1186/s13098-024-01456-z
Laura Betat Pereira, Helena Trevisan Schroeder, Juciela Keller dos Santos, Paulo César Brizolla Capelari, Beatriz D. Schaan, Patrícia Martins Bock
Gestational diabetes mellitus (GDM) is characterized by hyperglycemia during pregnancy. There are many diabetes-specific tools for collecting information validated in Brazilian Portuguese. However, there are no specific instruments to assess knowledge about GDM in Brazilian Portuguese. The aim of this study was to cross-culturally adapt and validate the Brazilian Portuguese version of the Knowledge of Gestational Diabetes Mellitus questionnaire (GDMKQ). This study was conducted in southern Brazil from January to December 2023. Women with GDM or diabetes identified during pregnancy were considered eligible based on specific criteria. Clinical and demographic data were obtained through a medical records search. The GDMKQ underwent a multistep adaptation process, including translation, back-translation, content validity assessment, and cognitive interviews. After administration to participants, internal consistency, item-total correlation, and intraclass correlation were assessed. Confirmatory factor analysis was also conducted to ensure validity. A total of 155 pregnant women were recruited for the study. Most participants were aged 18–30 years, and hypertension was the main comorbidity (25.2%). Regarding education, most participants (58.7%) attended high school. The Brazilian Portuguese version of the GDMKQ consisted of 32 items. The intraclass correlation was established by two independent interviews with 57 participants, yielding a correlation coefficient of 0.79 (p < 0.01). Internal consistency (Cronbach’s alpha) was 0.81 overall but was less than 0.7 for each domain. Item-total correlations were calculated, and confirmatory factor analysis indicated a good model fit. The final Brazilian Portuguese version of the questionnaire consisted of 32 items. The Brazilian Portuguese version of the GDMKQ yielded a reliable and valid tool for evaluating diabetes knowledge in pregnant women.
{"title":"Cross-cultural adaptation and validation to Brazilian Portuguese of the ‘knowledge of gestational diabetes (GDM)’ questionnaire for women with GDM","authors":"Laura Betat Pereira, Helena Trevisan Schroeder, Juciela Keller dos Santos, Paulo César Brizolla Capelari, Beatriz D. Schaan, Patrícia Martins Bock","doi":"10.1186/s13098-024-01456-z","DOIUrl":"https://doi.org/10.1186/s13098-024-01456-z","url":null,"abstract":"Gestational diabetes mellitus (GDM) is characterized by hyperglycemia during pregnancy. There are many diabetes-specific tools for collecting information validated in Brazilian Portuguese. However, there are no specific instruments to assess knowledge about GDM in Brazilian Portuguese. The aim of this study was to cross-culturally adapt and validate the Brazilian Portuguese version of the Knowledge of Gestational Diabetes Mellitus questionnaire (GDMKQ). This study was conducted in southern Brazil from January to December 2023. Women with GDM or diabetes identified during pregnancy were considered eligible based on specific criteria. Clinical and demographic data were obtained through a medical records search. The GDMKQ underwent a multistep adaptation process, including translation, back-translation, content validity assessment, and cognitive interviews. After administration to participants, internal consistency, item-total correlation, and intraclass correlation were assessed. Confirmatory factor analysis was also conducted to ensure validity. A total of 155 pregnant women were recruited for the study. Most participants were aged 18–30 years, and hypertension was the main comorbidity (25.2%). Regarding education, most participants (58.7%) attended high school. The Brazilian Portuguese version of the GDMKQ consisted of 32 items. The intraclass correlation was established by two independent interviews with 57 participants, yielding a correlation coefficient of 0.79 (p < 0.01). Internal consistency (Cronbach’s alpha) was 0.81 overall but was less than 0.7 for each domain. Item-total correlations were calculated, and confirmatory factor analysis indicated a good model fit. The final Brazilian Portuguese version of the questionnaire consisted of 32 items. The Brazilian Portuguese version of the GDMKQ yielded a reliable and valid tool for evaluating diabetes knowledge in pregnant women.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The relationship between changes in Chinese visceral adiposity index (CVAI) and cardiometabolic diseases (CMD) in middle-aged and elderly individuals remains unclear. This study aimed to explore whether changes in the CVAI were associated with CMD incidence. This study included 3,243 individuals aged over 45 years from the China Health and Retirement Longitudinal Study. The exposures were changes in the CVAI and cumulative CVAI from 2012 to 2015. Changes in the CVAI were classified using K-means clustering analysis, and the cumulative CVAI was calculated as follows: (CVAI2012 + CVAI2015)/2 × time (2015–2012). Multivariable logistic regression models were used to assess the relationship between different CVAI change classes and CMD incidence. Restricted cubic splines regression was used to assess the dose–response relationship between cumulative CVAI and CMD incidence. To investigate the relationship between combined exposure to each component of CAVI and CMD incidence, a weighted quantile sum regression analysis was employed. During the 5 years of follow-up, 776 (24%) incident CMD cases were identified. Changes in CVAI and cumulative CVAI were independently and positively associated with CMD. After adjusting for potential confounders, compared with Class 1, the adjusted ORs (95% CIs) for incident CMD were 1.18 (0.90–1.57) for Class 2, 1.40 (1.03–1.92) for Class 3, and 1.56 (1.04–2.34) for Class 4. When cumulative CVAI was categorized into quartiles, compared with Q1, the adjusted ORs (95% CIs) for incident CMD were 1.30 (1.00–1.70) for Q2, 1.34 (1.01–1.79) for Q3, and 1.63 (1.15–2.31) for Q4. In addition, cumulative CVAI in the overall population exhibited a linear association with CMD (Poverall = 0.012, Pnon-linearity = 0.287), diabetes (Poverall = 0.022, Pnon-linearity = 0.188), and stroke (Poverall = 0.002, Pnon-linearity = 0.978), but showed no significant association with heart disease (Poverall = 0.619, Pnon-linearity = 0.442). Participants with higher baseline CVAI level and a change of elevating CVAI level may suffer an increased incidence of CMD. Furthermore, our findings elucidate the underlying mechanisms of the CVAI by highlighting TG as the primary contributor to the observed associations. Long-term CVAI monitoring is of significant importance for early identification and prevention of CMD, with significant implications for clinical practice.
{"title":"The association of changes in the Chinese visceral adiposity index and cardiometabolic diseases: a cohort study","authors":"Song Wen, Xingjie Huang, Zehan Huang, Xinjie Zhang, Chang Dai, Feihuang Han, Weidong Zheng, Feng Wang, Shubo Chen, Bin Zhang, Yuqing Huang","doi":"10.1186/s13098-024-01460-3","DOIUrl":"https://doi.org/10.1186/s13098-024-01460-3","url":null,"abstract":"The relationship between changes in Chinese visceral adiposity index (CVAI) and cardiometabolic diseases (CMD) in middle-aged and elderly individuals remains unclear. This study aimed to explore whether changes in the CVAI were associated with CMD incidence. This study included 3,243 individuals aged over 45 years from the China Health and Retirement Longitudinal Study. The exposures were changes in the CVAI and cumulative CVAI from 2012 to 2015. Changes in the CVAI were classified using K-means clustering analysis, and the cumulative CVAI was calculated as follows: (CVAI2012 + CVAI2015)/2 × time (2015–2012). Multivariable logistic regression models were used to assess the relationship between different CVAI change classes and CMD incidence. Restricted cubic splines regression was used to assess the dose–response relationship between cumulative CVAI and CMD incidence. To investigate the relationship between combined exposure to each component of CAVI and CMD incidence, a weighted quantile sum regression analysis was employed. During the 5 years of follow-up, 776 (24%) incident CMD cases were identified. Changes in CVAI and cumulative CVAI were independently and positively associated with CMD. After adjusting for potential confounders, compared with Class 1, the adjusted ORs (95% CIs) for incident CMD were 1.18 (0.90–1.57) for Class 2, 1.40 (1.03–1.92) for Class 3, and 1.56 (1.04–2.34) for Class 4. When cumulative CVAI was categorized into quartiles, compared with Q1, the adjusted ORs (95% CIs) for incident CMD were 1.30 (1.00–1.70) for Q2, 1.34 (1.01–1.79) for Q3, and 1.63 (1.15–2.31) for Q4. In addition, cumulative CVAI in the overall population exhibited a linear association with CMD (Poverall = 0.012, Pnon-linearity = 0.287), diabetes (Poverall = 0.022, Pnon-linearity = 0.188), and stroke (Poverall = 0.002, Pnon-linearity = 0.978), but showed no significant association with heart disease (Poverall = 0.619, Pnon-linearity = 0.442). Participants with higher baseline CVAI level and a change of elevating CVAI level may suffer an increased incidence of CMD. Furthermore, our findings elucidate the underlying mechanisms of the CVAI by highlighting TG as the primary contributor to the observed associations. Long-term CVAI monitoring is of significant importance for early identification and prevention of CMD, with significant implications for clinical practice.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142256329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Regarding a potential relationship between diabetes and the prognostic significance of hyperglycemia in patients presenting with acute myocardial infarction (AMI), there is still debate. Therefore, we aimed in this study to demonstrate the effect of hyperglycemia on different outcomes in AMI patients, whether they are diabetic or not. We searched PubMed, Web of Science, and Scopus using the following search strategy: “Diabetes” or “Diabetic” AND “Acute myocardial infarction” OR “AMI” AND “hyperglycemia” OR “glucose level” to find eligible articles that needed to go through the screening process for inclusion in our study. We conducted a meta-analysis of 19 included studies from Japan, Germany, China, the United Kingdom, and others using Review Manager version 5.4 software, pooling the mean difference in continuous variables, the number and total of dichotomous variables to measure the odds ratio (OR), and the generic inverse variance of OR or hazard ratio (HR) as reported in the included studies. The mean age of the participants ranged from 56.3 to 72.3 years old. The difference in blood glucose levels between diabetes and non-diabetes patients was found to be statistically significant, with an SMD of 1.39 (95%CI: 1.12, 1.66, p < 0.00001). In diabetic patients, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.92 (95% CI: 1.45, 2.55, p < 0.00001) and an OR of 1.76 (95% CI: 1.15, 2.7, p = 0.01). In non-diabetic patients admitted with AMI, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.56 (95% CI: 1.31, 1.86, p < 0.00001) and an OR of 2.89 (95% CI: 2.47, 3.39, p < 0.00001). AMI patients who were diabetic were statistically more likely to have a major adverse cardiovascular event (MACE) (HR = 1.9; 95% CI: 1.19–3.03; p = 0.007). AMI patients who were not diabetic were also statistically more likely to have a MACE (HR = 1.6; 95% CI: 1.15–2.23, p = 0.006). Hyperglycemia in AMI patients is a predictor of worse outcomes, including MACE and mortality, regardless of whether these patients are diabetic or not. In these patients, some factors act as predictors of mortality, including older age, higher glucose levels on admission, and a high Killip class.
{"title":"A systematic review and meta-analysis of the effect of hyperglycemia on admission for acute myocardial infarction in diabetic and non-diabetic patients","authors":"Reem Alawaji, Mohammed Musslem, Emtenan Alshalahi, Abdulaziz Alanzan, Albarra Sufyani, Maram Alhati, Alhanouf Almutairi, Mahdi Alqaffas, Batool Alattas, Adhari Alselmi","doi":"10.1186/s13098-024-01459-w","DOIUrl":"https://doi.org/10.1186/s13098-024-01459-w","url":null,"abstract":"Regarding a potential relationship between diabetes and the prognostic significance of hyperglycemia in patients presenting with acute myocardial infarction (AMI), there is still debate. Therefore, we aimed in this study to demonstrate the effect of hyperglycemia on different outcomes in AMI patients, whether they are diabetic or not. We searched PubMed, Web of Science, and Scopus using the following search strategy: “Diabetes” or “Diabetic” AND “Acute myocardial infarction” OR “AMI” AND “hyperglycemia” OR “glucose level” to find eligible articles that needed to go through the screening process for inclusion in our study. We conducted a meta-analysis of 19 included studies from Japan, Germany, China, the United Kingdom, and others using Review Manager version 5.4 software, pooling the mean difference in continuous variables, the number and total of dichotomous variables to measure the odds ratio (OR), and the generic inverse variance of OR or hazard ratio (HR) as reported in the included studies. The mean age of the participants ranged from 56.3 to 72.3 years old. The difference in blood glucose levels between diabetes and non-diabetes patients was found to be statistically significant, with an SMD of 1.39 (95%CI: 1.12, 1.66, p < 0.00001). In diabetic patients, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.92 (95% CI: 1.45, 2.55, p < 0.00001) and an OR of 1.76 (95% CI: 1.15, 2.7, p = 0.01). In non-diabetic patients admitted with AMI, hyperglycemia was statistically significantly associated with mortality, with a HR of 1.56 (95% CI: 1.31, 1.86, p < 0.00001) and an OR of 2.89 (95% CI: 2.47, 3.39, p < 0.00001). AMI patients who were diabetic were statistically more likely to have a major adverse cardiovascular event (MACE) (HR = 1.9; 95% CI: 1.19–3.03; p = 0.007). AMI patients who were not diabetic were also statistically more likely to have a MACE (HR = 1.6; 95% CI: 1.15–2.23, p = 0.006). Hyperglycemia in AMI patients is a predictor of worse outcomes, including MACE and mortality, regardless of whether these patients are diabetic or not. In these patients, some factors act as predictors of mortality, including older age, higher glucose levels on admission, and a high Killip class.","PeriodicalId":11106,"journal":{"name":"Diabetology & Metabolic Syndrome","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号