B. Sharma, Amit Dey, J. George, Lakshmi Nagendra, S. Mittal, Ajoy Tewari, Ashish Birla, Ashish Prasad, Aushili M
{"title":"Low-Dose Glimepiride and Metformin Fixed-Dose Combination in treating Maturity-Onset Diabetes of the Young Type (MODY): A Cross Sectional Survey","authors":"B. Sharma, Amit Dey, J. George, Lakshmi Nagendra, S. Mittal, Ajoy Tewari, Ashish Birla, Ashish Prasad, Aushili M","doi":"10.5603/dk.a2023.0028","DOIUrl":"https://doi.org/10.5603/dk.a2023.0028","url":null,"abstract":"","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"2017 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73576771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objective: This study was aimed to determine the ge-netic background of pediatric patients with a clinical diagnosis of maturity-onset diabetes of youth (MODY). Materials and methods: In this study, MODY-related genes of 80 pediatric patients diagnosed with MODY in Türkiye between January 2016 and January 2022 were investigated using three different large gene panels and next-generation sequencing. Results: Causal variants were detected in the genes investigated in 16 (20%) of 80 patients included in the study. The GCK gene was responsible for the clinical findings in 13 (82%) of 16 patients with a molecular diagnosis, and the HNF1A , HNF1B , and ABCC8 genes in the remaining three patients. This study identified six of the detected genomic variants for the first time in the literature. Conclusions: MODY is a group of diseases that differ from each other in terms of clinical findings, treatment, progression, genetic etiopathogenesis and incidence. For this reason, genetic analyses using multigene panels will enable accurate identification of MODY subtypes, genetic counseling of patients, guidance to optimal treatment options, and screening of carrier relatives. (Clin Diabetol 2023; 12; 4: 232–238)
{"title":"Investigation of the Mutation Spectrum in Pediatric Patients with Maturity-Onset Diabetes of Youth (MODY): Experience from a Diagnostic Center in Türkiye","authors":"Neslihan Duzkale, C. Emiroğlu","doi":"10.5603/dk.a2023.0030","DOIUrl":"https://doi.org/10.5603/dk.a2023.0030","url":null,"abstract":"Objective: This study was aimed to determine the ge-netic background of pediatric patients with a clinical diagnosis of maturity-onset diabetes of youth (MODY). Materials and methods: In this study, MODY-related genes of 80 pediatric patients diagnosed with MODY in Türkiye between January 2016 and January 2022 were investigated using three different large gene panels and next-generation sequencing. Results: Causal variants were detected in the genes investigated in 16 (20%) of 80 patients included in the study. The GCK gene was responsible for the clinical findings in 13 (82%) of 16 patients with a molecular diagnosis, and the HNF1A , HNF1B , and ABCC8 genes in the remaining three patients. This study identified six of the detected genomic variants for the first time in the literature. Conclusions: MODY is a group of diseases that differ from each other in terms of clinical findings, treatment, progression, genetic etiopathogenesis and incidence. For this reason, genetic analyses using multigene panels will enable accurate identification of MODY subtypes, genetic counseling of patients, guidance to optimal treatment options, and screening of carrier relatives. (Clin Diabetol 2023; 12; 4: 232–238)","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"42 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85657232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially. Marwan S. M. Al-Nimer Clinical Pharmacology and Therapeutics, University of Diyala, Baqubah, Iraq
本文在Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0)许可下开放获取，允许下载文章并与他人分享，只要他们注明作者和出版商，但不得以任何方式更改或用于商业用途。Marwan S. M. Al-Nimer，伊拉克巴古拜迪亚拉大学临床药理学和治疗学
{"title":"Novel Formulas Derived from Triglyceride–Glucose Index for Assessment of Insulin Resistance in Patients with Type 2 Diabetes","authors":"Marwan S. Al-Nimer","doi":"10.5603/dk.a2023.0029","DOIUrl":"https://doi.org/10.5603/dk.a2023.0029","url":null,"abstract":"This article is available in open access under Creative Common Attribution-Non-Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0) license, allowing to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially. Marwan S. M. Al-Nimer Clinical Pharmacology and Therapeutics, University of Diyala, Baqubah, Iraq","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"3 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76086525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. E. El Feky, Mohamed G. Abdrabo, M. Abdou, Sandra H. Sabry, A. Badr, Ahmed M. Mohsen
Objective: COVID-19 infection and the factors affecting it are major concerns worldwide. This retrospective study aimed to investigate clinical, laboratory and radiological characteristics associated with disease severity and hospitalization among older adults with type 2 diabetes mellitus (T2D) with COVID-19. Materials and methods: A retrospective case series study was conducted to review the records of older adults with T2D infected with COVID-19. Sociodemo-graphic, COVID-19-related data, laboratory tests at the time of COVID-19 diagnosis and CT findings were collected. Bivariate and multivariate regression analysis were done to determine the predictors of the studied outcome, either hospitalization or complete recovery. Results: A total of 343 patients’ records were reviewed, with a mean age of 73.6 ± 6.4 years. Most of patients had fever and cough at the time of diagnosis and ground glass opacities was found on CT in 62.1% of patients. Hospitalized patients had higher duration of diabetes, suffered more from dyspnea, body aches and chest pain, had higher HbA1c, CRP and ferritin and lower lymphocytes and hemoglobin. Fasting plasma glucose and HbA1c positively affected the duration from onset of symptoms till resolution, while hemoglobin level negatively affected it. Logistic regression analysis revealed that duration of diabetes, HbA1c, ferritin and dyspnea were significant predictors of hospitalization. Conclusions: Among older adults with T2D infected with COVID-19, poor glycemic control is associated with higher risk of hospitalization and longer duration till recovery of symptoms. Longer duration of diabetes, high serum ferritin and the presence of dyspnea are associated with higher risk for hospitalization among these patients. (Clin Diabetol 2023; 12; 4: 239–246)
{"title":"Factors Affecting Outcomes of COVID-19 Infection among Older Adults with Type 2 Diabetes: A Single Center, Cross-Sectional Study","authors":"A. E. El Feky, Mohamed G. Abdrabo, M. Abdou, Sandra H. Sabry, A. Badr, Ahmed M. Mohsen","doi":"10.5603/dk.a2023.0026","DOIUrl":"https://doi.org/10.5603/dk.a2023.0026","url":null,"abstract":"Objective: COVID-19 infection and the factors affecting it are major concerns worldwide. This retrospective study aimed to investigate clinical, laboratory and radiological characteristics associated with disease severity and hospitalization among older adults with type 2 diabetes mellitus (T2D) with COVID-19. Materials and methods: A retrospective case series study was conducted to review the records of older adults with T2D infected with COVID-19. Sociodemo-graphic, COVID-19-related data, laboratory tests at the time of COVID-19 diagnosis and CT findings were collected. Bivariate and multivariate regression analysis were done to determine the predictors of the studied outcome, either hospitalization or complete recovery. Results: A total of 343 patients’ records were reviewed, with a mean age of 73.6 ± 6.4 years. Most of patients had fever and cough at the time of diagnosis and ground glass opacities was found on CT in 62.1% of patients. Hospitalized patients had higher duration of diabetes, suffered more from dyspnea, body aches and chest pain, had higher HbA1c, CRP and ferritin and lower lymphocytes and hemoglobin. Fasting plasma glucose and HbA1c positively affected the duration from onset of symptoms till resolution, while hemoglobin level negatively affected it. Logistic regression analysis revealed that duration of diabetes, HbA1c, ferritin and dyspnea were significant predictors of hospitalization. Conclusions: Among older adults with T2D infected with COVID-19, poor glycemic control is associated with higher risk of hospitalization and longer duration till recovery of symptoms. Longer duration of diabetes, high serum ferritin and the presence of dyspnea are associated with higher risk for hospitalization among these patients. (Clin Diabetol 2023; 12; 4: 239–246)","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"25 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75810181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Zeidi, Aisa Maleki, Zahra Najafpuor, S. Moosavi, R. Kalhor
Objective: This study aimed to investigate the predictors of medication adherence behavior and the role of self-efficacy in the medication adherence of people with diabetes. Materials and methods: This is a cross-sectional descrip-tive-analytical study. One hundred forty-eight samples were selected through the formula of difference of means. Measure tools consisted of a demographic questionnaire, Morisky Medication Adherence Scale, and psychological constructs questionnaires. SPSS20 software was used for descriptive statistics tests and calculation of correlation coefficients between vari - ables. Amos 8.80 was used to implement the structural equation modeling method. Results: The mean age of participants was 54.1 ± 8.2 and mean of body mass index (BMI) was 28.3 ± 4.5. Correlation coefficients between medication com - pliance behavior and the constructs of knowledge (r = 0.382, p < 0.01), attitude (r = 0.422, p < 0.01), subjective norms (r = 0.312, 05 p < 0.05), self-efficacy (r = 0.481, p < 0.05) and fear (r = 0.305, p < 0.05) were positive and significant. In general, the strongest correlation coefficient was reported between attitude and self-efficacy (r = 0.516, p < 0.01). The fit indices generally showed that the data fitted well with the assumed model. Self-efficacy was the most impor - tant construct that directly influenced medication adherence ( β = 0.585, p < 0.05), followed by attitude ( β = 0.328, p < 0.05) and fear ( β = 0.265, p < 0.05). Conclusions: According to the findings of this study, it was shown that various factors affect medication adherence behavior, among which self-efficacy is the most important reason, and subjective norms, attitude and norms and awareness of factors affecting medication adherence behavior. (Clin Diabetol 2023; 12; 4: 253–260)
目的:探讨糖尿病患者药物依从行为的预测因素及自我效能感在药物依从性中的作用。材料和方法:这是一项横断面描述性分析研究。通过均值之差公式，选取了148个样本。测量工具包括人口统计问卷、莫里斯基药物依从性量表和心理构念问卷。采用SPSS20软件进行描述性统计检验和变量间相关系数的计算。采用Amos 8.80软件进行结构方程建模。结果:参与者的平均年龄为54.1±8.2岁，平均体重指数(BMI)为28.3±4.5。用药依从行为与知识构念(r = 0.382, p < 0.01)、态度构念(r = 0.422, p < 0.01)、主观规范构念(r = 0.312, 05 p < 0.05)、自我效能感构念(r = 0.481, p < 0.05)、恐惧构念(r = 0.305, p < 0.05)呈显著正相关。总体而言，态度与自我效能的相关系数最强(r = 0.516, p < 0.01)。拟合指标总体上表明数据与假设模型拟合较好。自我效能感是直接影响药物依从性的最重要构念(β = 0.585, p < 0.05)，其次是态度(β = 0.328, p < 0.05)和恐惧(β = 0.265, p < 0.05)。结论:本研究结果表明，影响服药依从行为的因素多种多样，其中自我效能感是影响服药依从行为的最重要原因，主观规范、态度规范和对服药依从行为影响因素的认识也是影响服药依从行为的重要因素。《临床糖尿病杂志》2023;12;4: 253 - 260)
{"title":"Predictors of Medication Adherence in Patients with Type 2 Diabetes: A Cross-Sectional Study","authors":"I. Zeidi, Aisa Maleki, Zahra Najafpuor, S. Moosavi, R. Kalhor","doi":"10.5603/dk.a2023.0031","DOIUrl":"https://doi.org/10.5603/dk.a2023.0031","url":null,"abstract":"Objective: This study aimed to investigate the predictors of medication adherence behavior and the role of self-efficacy in the medication adherence of people with diabetes. Materials and methods: This is a cross-sectional descrip-tive-analytical study. One hundred forty-eight samples were selected through the formula of difference of means. Measure tools consisted of a demographic questionnaire, Morisky Medication Adherence Scale, and psychological constructs questionnaires. SPSS20 software was used for descriptive statistics tests and calculation of correlation coefficients between vari - ables. Amos 8.80 was used to implement the structural equation modeling method. Results: The mean age of participants was 54.1 ± 8.2 and mean of body mass index (BMI) was 28.3 ± 4.5. Correlation coefficients between medication com - pliance behavior and the constructs of knowledge (r = 0.382, p < 0.01), attitude (r = 0.422, p < 0.01), subjective norms (r = 0.312, 05 p < 0.05), self-efficacy (r = 0.481, p < 0.05) and fear (r = 0.305, p < 0.05) were positive and significant. In general, the strongest correlation coefficient was reported between attitude and self-efficacy (r = 0.516, p < 0.01). The fit indices generally showed that the data fitted well with the assumed model. Self-efficacy was the most impor - tant construct that directly influenced medication adherence ( β = 0.585, p < 0.05), followed by attitude ( β = 0.328, p < 0.05) and fear ( β = 0.265, p < 0.05). Conclusions: According to the findings of this study, it was shown that various factors affect medication adherence behavior, among which self-efficacy is the most important reason, and subjective norms, attitude and norms and awareness of factors affecting medication adherence behavior. (Clin Diabetol 2023; 12; 4: 253–260)","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"18 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81156008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Magdalena Dolecka-Ślusarczyk, Aleksander Ślusarczyk, Cezary Ślusarczyk, O. Adamczyk-Gruszka, Agnieszka Ciba-Stemplewska, Z. Siudak
Objective: The authors aimed to identify risk factors for insulin therapy need and for the development of postpartum prediabetes in women with gestational diabetes mellitus (GDM). Materials and methods: This was a prospective observational single-center study including pregnant women with GDM. Women with overt diabetes were excluded. Risk factors for insulin use and prediabetes were identified using logistic regression. Univariable analyses were performed to select factors for multivariable analysis. Stepwise logistic regression was used to create multivariable models. Results: Among 135 women with GDM, 63 (46.7%) required insulin therapy. Multivariable analysis demonstrated that family history of diabetes, abnormal pre-pregnancy body mass index (> 25 kg/m 2 ), the performance of 75 g oral glucose tolerance test (OGTT) before 24 Hbd, fasting plasma glucose (FPG) at pregnancy diagnosis constitute predictive factors for further insulin therapy need. Thirteen women (9.6%) developed prediabetes shortly (6–12 weeks postpartum) after gestation. In multivariable analysis family history of diabetes, rapid weight gain, 1 h plasma glucose (PG) in OGTT, 2 h PG in OGTT and glycated hemoglobin (HbA1c) concentration were identified as independent risk factors for prediabetes postpartum. Conclusions: Many easily-available parameters individually and combined in prediction models can be useful in assessing the risk of insulin therapy need and early postpartum prediabetes in women with GDM. Evaluation of the risk of above complications at GDM diagnosis is possible using metabolic parameters and family history of diabetes. (Clin Diabetol 2023; 12; 4: 223–231)
{"title":"Can We Predict the Insulin Therapy Need and Early Postpartum Prediabetes in Patients with Gestational Diabetes Mellitus?","authors":"Magdalena Dolecka-Ślusarczyk, Aleksander Ślusarczyk, Cezary Ślusarczyk, O. Adamczyk-Gruszka, Agnieszka Ciba-Stemplewska, Z. Siudak","doi":"10.5603/dk.a2023.0024","DOIUrl":"https://doi.org/10.5603/dk.a2023.0024","url":null,"abstract":"Objective: The authors aimed to identify risk factors for insulin therapy need and for the development of postpartum prediabetes in women with gestational diabetes mellitus (GDM). Materials and methods: This was a prospective observational single-center study including pregnant women with GDM. Women with overt diabetes were excluded. Risk factors for insulin use and prediabetes were identified using logistic regression. Univariable analyses were performed to select factors for multivariable analysis. Stepwise logistic regression was used to create multivariable models. Results: Among 135 women with GDM, 63 (46.7%) required insulin therapy. Multivariable analysis demonstrated that family history of diabetes, abnormal pre-pregnancy body mass index (> 25 kg/m 2 ), the performance of 75 g oral glucose tolerance test (OGTT) before 24 Hbd, fasting plasma glucose (FPG) at pregnancy diagnosis constitute predictive factors for further insulin therapy need. Thirteen women (9.6%) developed prediabetes shortly (6–12 weeks postpartum) after gestation. In multivariable analysis family history of diabetes, rapid weight gain, 1 h plasma glucose (PG) in OGTT, 2 h PG in OGTT and glycated hemoglobin (HbA1c) concentration were identified as independent risk factors for prediabetes postpartum. Conclusions: Many easily-available parameters individually and combined in prediction models can be useful in assessing the risk of insulin therapy need and early postpartum prediabetes in women with GDM. Evaluation of the risk of above complications at GDM diagnosis is possible using metabolic parameters and family history of diabetes. (Clin Diabetol 2023; 12; 4: 223–231)","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"30 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85499163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Biswajit Dhali, Sridip Chatterjee, S. Das, M. D. Cruz
{"title":"Effect of Yoga on Insulin Resistance in Type 2 Diabetes: A Systematic Review and Meta-Analysis","authors":"Biswajit Dhali, Sridip Chatterjee, S. Das, M. D. Cruz","doi":"10.5603/dk.a2023.0022","DOIUrl":"https://doi.org/10.5603/dk.a2023.0022","url":null,"abstract":"","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"24 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90359091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hend Soliman, Doaa I. A. Mostafa, Ahmed M. Helmy, Radwa A. Shamma
{"title":"Association between Serum Adiponectin and Insulin Resistance in Children and Adolescents with Type 1 Diabetes: A Cross-Sectional, Single Center Study from Egypt","authors":"Hend Soliman, Doaa I. A. Mostafa, Ahmed M. Helmy, Radwa A. Shamma","doi":"10.5603/dk.a2023.0014","DOIUrl":"https://doi.org/10.5603/dk.a2023.0014","url":null,"abstract":"","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"26 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90465409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Iwona Towpik, Szymon Jurga, Katarzyna Gramacka, Magdalena Wojciech, E. Franek
{"title":"Cardiovascular Risk Assessment in Women after Pregnancy Complicated by Gestational Diabetes Mellitus: A Cross-Sectional, Single Center Study","authors":"Iwona Towpik, Szymon Jurga, Katarzyna Gramacka, Magdalena Wojciech, E. Franek","doi":"10.5603/dk.a2023.0019","DOIUrl":"https://doi.org/10.5603/dk.a2023.0019","url":null,"abstract":"","PeriodicalId":10386,"journal":{"name":"Clinical Diabetology","volume":"11 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91252578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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