Family History Of Diabetes Mellitus Research Articles

Proportion of Newly Detected Hypothyroidism among the Diabetic and Nondiabetic Pregnant Ladies and Correlation of Different Parameters with Thyroid Stimulatory Hormone in Pregnancy Attending a Tertiary Care Hospital

ABSTRACT Background: Subclinical hypothyroidism and gestational diabetes are the two most common endocrinopathy encountered in daily clinical practice. Many literature showed a higher frequency of hypothyroidism in the persons with diabetes but others did not find it. Objectives: The study was intended to compare the proportion of newly detected hypothyroidism in persons with diabetes and without diabetes in pregnancy (DIP). Materials and Methods: This cross-sectional, observational study enrolled 175 pregnant women by convenient sampling from the Department of Obstetrics and Gynecology, BIRDEM General Hospital, with or without diabetes after IRB clearance. According to the study protocol, Thyroid function test (TFT) and oral glucose tolerance test were done in the participants. Thyroid stimulatory hormone (TSH), free thyroxin, and antithyroid antibodies were tested using the chemiluminescent technique by the ADVIA centaur, Siemens. Plasma glucose was analyzed by Advia-1800, SIEMENS, USA by glucose oxidase method. Data were analyzed by SPSS version 25. Nonparametric tests were chosen for statistical analysis. Results: The median maternal age was 30 years, and half of the participants had a family history of diabetes mellitus (DM). Hundred patients had diabetes either gestational DM or DIP or preexisting diabetes. Among the persons with diabetes, 34% had hypothyroidism, and in euglycemic patients, 29.3% had hypothyroidism. There was no statistically significant (P = 0.785) difference in the median values of TSH across the glycemic status among the hypothyroid subjects. TSH had a positive correlation with thyroid peroxidase antibody (P = 0.174) within the hypothyroid patients. In the study subjects, TSH was inversely correlated with hemoglobin (P < 0.001). Conclusions: There is no statistically significant concordance in diagnosing hypothyroidism in pregnancy between the persons with diabetes and without diabetes.

Prevalence of undiagnosed diabetes mellitus and associated factors among adult residents of Mizan Aman town, Southwest Ethiopia: Community-based cross-sectional study.

Diabetes mellitus continues to be a significant global public health concern, and it is currently a public health issue in developing nations. In Ethiopia, about three fourth of adult population with diabetes are unaware of their diabetic condition. However, there is a limited research on this specific topic particularly in the study area. To assess prevalence of undiagnosed diabetes mellitus and its associated factor among adult residents of Mizan Aman town, south West Ethiopia. A community-based cross-sectional study was conducted from May 23 to July 7, 2022, on 627 adult residents of Mizan Aman town. A multi stage sampling technique was used to obtain 646 study units. Interviewer-administered structured questionnaires were employed to gather socio-demographic and behavioral data. Anthropometric measurements were obtained and blood samples were taken from each participants. The fasting blood glucose level was measured after an 8-hour gap following a meal, using a digital glucometer to analyze a blood sample. Data were cleaned and entered into Epi-data v 3.1 and exported to SPSS v. 26 for analysis. Bi-variable analysis was done to select candidate variables and multivariable logistic regression model was fitted to identify independent predictors of undiagnosed diabetes mellitus. Adjusted odds ratio (AOR) with 95% CI was computed and variables with p-value < 0.05 were declared to be predictors of undiagnosed diabetes mellitus. The study revealed that, the overall magnitude of undiagnosed diabetes mellitus was 8.13% (95% CI: 6.1, 10.6). Predictors of undiagnosed diabetes mellitus were; physical activity level less than 600 Metabolic equivalent/min per week (AOR = 3.39, 95%CI 1.08 to 10.66), family history of diabetes mellitus (AOR = 2.87, 95% CI 1.41, 5.85), current hypertension(AOR = 2.9, 95% CI 1.26, 6.69), fruit consumption of fewer than three servings per week(AOR = 2.64, 95% CI 1.18 to 5.92), and sedentary life(AOR = 3.33, 95% CI 1.63 to 6.79). The prevalence of undiagnosed diabetes mellitus was 8.13%. Physical inactivity, family history of diabetes mellitus, current hypertension, sedentary life, and fruit servings fewer than three per week were independent predictors of undiagnosed diabetes mellitus.

A first trimester prediction model and nomogram for gestational diabetes mellitus based on maternal clinical risk factors in a resource-poor setting

BackgroundThe implementation of universal screening for Gestational Diabetes Mellitus (GDM) is challenged by several factors key amongst which is limited resources, hence the continued reliance on risk factor-based screening. Effective identification of high-risk women early in pregnancy may enable preventive intervention. This study aimed at developing a GDM prediction model based on maternal clinical risk factors that are easily assessable in the first trimester of pregnancy in a population of Nigerian women.MethodsThis was a multi-hospital prospective observational cohort study of 253 consecutively selected pregnant women from which maternal clinical data was collected at 8–12 weeks gestational age. Diagnosis of GDM was made via a one-step 75-gram Oral Glucose Tolerance Test (OGTT) at 24–28 weeks of gestation. A GDM prediction model and nomogram based on selected maternal clinical risk factors was developed using multiple logistic regression analysis, and its performance was assessed by Receiver Operator Curve (ROC) analysis. Data analysis was carried out using Statistical Package for Social Sciences (SPSS) version 25 and Python programming language (version 3.0).ResultsIncreasing maternal age, higher body mass index (BMI), a family history of diabetes mellitus in first-degree relative and previous history of foetal macrosomia were the major predictors of GDM. The model equation was: LogitP = 6.358 − 0.066 × Age − 0.075 × First trimester BMI − 1.879 × First-degree relative with diabetes mellitus − 0.522 × History of foetal macrosomia. It had an area under the receiver operator characteristic (ROC) curve (AUC) of 0.814 (95% CI: 0.751–0.877; p-value < 0.001), and at a predicted probability threshold of 0.745, it had a sensitivity of 79.2% and specificity of 74.5%.ConclusionThis first trimester prediction model reliably identifies women at high risk for GDM development in the first trimester, and the nomogram enhances its practical applicability, contributing to improved clinical outcomes in the study population.

Development and validation of a lifetime prediction model for incident type 2 diabetes in patients with established cardiovascular disease: the CVD2DM model.

Identifying patients with established cardiovascular disease (CVD) who are at high risk of type 2 diabetes (T2D) may allow for early interventions, reducing the development of T2D and associated morbidity. The aim of this study was to develop and externally validate the CVD2DM model to estimate the 10-year and lifetime risks of T2D in patients with established CVD. Sex-specific, competing risk-adjusted Cox proportional hazard models were derived in 19 281 participants with established CVD and without diabetes at baseline from the UK Biobank. The core model's pre-specified predictors were age, current smoking, family history of diabetes mellitus, body mass index, systolic blood pressure, fasting plasma glucose, and HDL cholesterol. The extended model also included HbA1c. The model was externally validated in 3481 patients from the UCC-SMART study. During a median follow-up of 12.2 years (interquartile interval 11.3-13.1), 1628 participants with established CVD were diagnosed with T2D in the UK Biobank. External validation c-statistics were 0.79 [95% confidence interval (CI) 0.76-0.82] for the core model and 0.81 (95% CI 0.78-0.84) for the extended model. Calibration plots showed agreement between predicted and observed 10-year risk of T2D. The 10-year and lifetime risks of T2D can be estimated with the CVD2DM model in patients with established CVD, using readily available clinical predictors. The model would benefit from further validation across diverse ethnic groups to enhance its applicability. Informing patients about their T2D risk could motivate them further to adhere to a healthy lifestyle.

Development and Validation of Prediction Models for the 5-year Risk of Type 2 Diabetes in a Japanese Population: Japan Public Health Center-based Prospective (JPHC) Diabetes Study.

This study aimed to develop models to predict the 5-year incidence of type 2 diabetes mellitus (T2DM) in a Japanese population and validate them externally in an independent Japanese population. Data from 10,986 participants (aged 46-75 years) in the development cohort of the Japan Public Health Center-based Prospective Diabetes Study and 11,345 participants (aged 46-75 years) in the validation cohort of the Japan Epidemiology Collaboration on Occupational Health Study were used to develop and validate the risk scores in logistic regression models. We considered non-invasive (sex, body mass index, family history of diabetes mellitus, and diastolic blood pressure) and invasive (glycated hemoglobin [HbA1c] and fasting plasma glucose [FPG]) predictors to predict the 5-year probability of incident diabetes. The area under the receiver operating characteristic curve was 0.643 for the non-invasive risk model, 0.786 for the invasive risk model with HbA1c but not FPG, and 0.845 for the invasive risk model with HbA1c and FPG. The optimism for the performance of all models was small by internal validation. In the internal-external cross-validation, these models tended to show similar discriminative ability across different areas. The discriminative ability of each model was confirmed using external validation datasets. The invasive risk model with only HbA1c was well-calibrated in the validation cohort. Our invasive risk models are expected to discriminate between high- and low-risk individuals with T2DM in a Japanese population.

IJCM_197A: A cross-sectional study to assess the risk of diabetes among undergraduate medical students in a tertiary care hospital

Background: Diabetes mellitus is one of the major public health problems that affects all age groups. Usually, medical students have sedentary lifestyle owing to academic requirements and there are only limited studies on diabetes screening have been conducted among them. Thus, this study aimed to assess risk of Type 2 Diabetes Mellitus and to study association of diabetes risk with other factors among undergraduate medical students. Objectives: 1. To assess the risk of Type 2 Diabetes Mellitus among undergraduate medical students in a tertiary care hospital. 2. To study the association of risk of Type 2 Diabetes Mellitus with other factors among undergraduate medical students. Methodology: A cross-sectional study conducted among 272 undergraduate medical students in a tertiary care hospital during July 2023 to October 2023. Data collection was done using sociodemographic questionnaire and risk for Type 2 Diabetes Mellitus was assessed using Indian Diabetes Risk Score (IDRS). Results: Among 272 study participants, about 21% had moderate risk score and 1.5% had severe risk score. About 64% medical students belonged to nuclear family, 44.6% had family history of diabetes mellitus and 38% were overweight/ obese. Statistically significant association of moderate-high diabetes risk with nuclear family, positive family history of diabetes, no/mild physical activity and body mass index (BMI) was seen. Conclusion: A significant proportion of undergraduate student had moderate to high risk of Type 2 Diabetes Mellitus. Risk of developing type 2 diabetes mellitus found to associated with nuclear family, family history of diabetes, no or mild physical activity and overweight.

IJCM_315A: Pesticide exposure and Diabetes Mellitus - A Community based Analytical Cross-sectionalstudy among agricultural workers in Madurai east community block, Tamil Nadu

Background: World Health Organization (WHO) states that diabetes mellitus (DM) is the ninth leading cause of death in 2019¹. The study by Velmurugan et.al² in 2021 in rural Tamil Nadu shows a high prevalence of DM among agricultural workers (15.0%) compared to non-farming communities (8.7%). Pesticides, a source of Endocrine Disrupting Chemicals (EDCs) play a major etiological role in Diabetes Mellitus among them. Hence the need for present study. Objectives: 1. To estimate the prevalence of diabetes mellitus among agricultural workers in Madurai East Block 2. To find the association between pesticide exposure and other variables with DM. Methodology: A community-based cross-sectional study was conducted among 150 agricultural workers in Madurai East using multistage cluster sampling during august to November 2023.Sample size was calculated using Velmurugan et.al study². After obtaining informed consent, study population was interviewed using semi-structured validated (containing details about sociodemographics, pesticide exposure questionnaire, diabetic status) followed by anthropometric measurements in the previous day evening and advised 8 hrs fasting that night. Next day morning by 6 am, second visit was made to check fasting capillary blood glucose (CBG) using Accu-Chek glucometer. Data was analyzed using SPSS software version 21.0. Results: The mean age of the study population was 50.63 ± 13.36 years. Females constituted 66% (n=99). The mean years of agricultural work was 26.55 ± 13 years. The overall prevalence of DM among study population was 29.3%. The prevalence was slightly higher in pesticide applicators (33.33%) than agricultural workers (29.1%). Except for age, the chi-square test showed no significant association between pesticide exposure, gender, family history of DM, with DM. Conclusion: Higher Diabetic prevalence among agricultural workers demands further research to prove the hypothesis of pesticide exposure and development of diabetes.

A Cross-Sectional Study about Demographic and Medical Characteristics of Hypertensive Pregnant Women in Two Secondary Healthcare Facilities, in Ilorin, Nigeria

Background Hypertension is one of the major causes of related maternal deaths worldwide and it is one of the most common medical disorders encountered during pregnancy. Aim This study aimed at assessing the demographic and medical characteristics of hypertensive pregnant women in two secondary healthcare facilities, in Ilorin, Nigeria Method This was a cross-sectional study among 104 pregnant women with hypertension attending the outpatient department of General Hospital and Civil Service Clinic, Ilorin between March and May 2021. A validated self-administered questionnaire was used to obtain information on sociodemographics. Data on the medical characteristics of the respondents and their medications were extracted from the respondent's medical files. Ethical approval was obtained from the Ministry of Health and General Hospital, Ilorin. For statistical analysis for categorical measurements, the frequencies and percentages were computed. Results Seventy-five percent of the correspondents were below 36 years old, 97% were married, 79% had tertiary education, and 74% were above 24 weeks of gestation. About 68% of the correspondents had blood pressure more than or equal to 140/90 and 10% had blood pressure more than 160 mm Hg systolic or more than 100 mm Hg diastolic. About 78.8% of the correspondents had a family history of hypertension, 13.5% had a family history of diabetes mellitus, and 22.1% had a family history of obesity. About 27.9% had pre-existing hypertension, 61.5% developed hypertension before the end of 20 weeks of gestation, and 10.6% developed hypertension after 20 weeks of gestation. About 24% had their antihypertensive medication changed during pregnancy, 38.5% were treated with methyldopa, 31.7% with nifedipine, and 27% with nifedipine and methyldopa. Majority (83.6%) of the respondents were not adherent to their medications. Conclusion Two-third of the patients had poor blood pressure control irrespective of the fact that all were under drug therapy. Family history and large body mass index are the main risk factors for the development of hypertension during pregnancy. Noncompliance may play a significant role in no drug response.

Assessing the readiness to transition to adult care, perceived medication barriers, and glycemic control among teens with type 1 diabetes

AimThis study assessed the readiness to transition (RT) from pediatric to adult care, perceived medication barriers (PMB), and glycemic control in teens with type one diabetes (T1D). BackgroundDuring the transition from pediatric to adult care, teens with T1D are at risk of long-term complications related to impaired adherence. With the increasing prevalence of T1D in Saudi Arabia, research is required to identify the challenges facing teens with T1D during their transition. MethodsThis was a cross-sectional study with a convenient sample of 83 adolescents (12–17 years old) diagnosed with T1D for ≥6 months, their parents, and their pediatric endocrinologists from the pediatric endocrinology clinic in a tertiary hospital in Riyadh. The RT Questionnaire was used to measure RT, and the Medication Barriers Scale was used to measure PMB. Glycemic control was measured using hemoglobin A1c (HbA1c). ResultsAbout 96 % of teens had HbA1c > 7 %. Male teens had higher HbA1c than female teens. Teens and their parents reported high PMB and low RT. PMB (teens), disease duration, family history of diabetes mellitus, and comorbidity were significant predictors of RT (parents). PMB (teens), teens' age, and having a family history of diabetes mellitus were significant predictors of RT (providers). RT (parents) and RT (providers) were the only significant predictors of HbA1c, with RT (providers) being the strongest predictors of HbA1c. ConclusionsHealth policy reform is required to develop national RT programs to prepare teens with T1D to take full responsibility for managing their medical conditions while ensuring adherence.

The Relationship Between Mothers’ Characteristics and Mothers’ Level of Knowledge About Children’s Diet in Overweight Children With A Risk of Diabetes Mellitus in An Elementary School in Tangerang

Diabetes Mellitus (DM) is a disease characterized by high blood sugar levels that could occur in school-age children. One of the risk factors of DM is being overweight, which is influenced by an unbalanced diet. Good knowledge of mothers in providing good nutritional intake to overweight children can reduce the risk of DM in children. This study aims to identify the relationship between mothers’ characteristics (age, occupation, education level, exposure to information from mass media, and family history of DM) and mothers’ level of knowledge about the diet of overweight children with the risk of DM in children aged 6-12 years in an elementary school in Tangerang. This study used a descriptive quantitative method with univariate and bivariate analysis. A purposive sampling of 31 mothers with overweight children was involved. The research instrument was a questionnaire measuring the mothers' level of knowledge about the diet of overweight children with a risk of DM. The results showed that only education level revealed a relationship with mothers’ level of knowledge (p-value &lt;0.05), while other characteristics indicated no relationship (p-value &gt; 0.05). Increasing mothers ‘knowledge about healthy diets for children can be obtained from formal education, but non-formal education also plays an important role. Schools can reach out to health units to provide health education about the diet of school-age children and provide a clean and healthy canteen. Further research should identify other factors influencing the mother's knowledge level.

P-23 Insulin autoimmune syndrome possibly induced by Alpha-Lipoic acid

Abstract Introduction Insulin autoimmune syndrome (IAS) is a relative rare cause of hypoglycemia due to the presence of extremely high circulating insulin levels and elevated serum concentrations of autoantibodies to human insulin despite no prior exposure to exogenous insulin, insulin analogues or oral hypoglycemic agents. It is characterized by repeated fasting hypoglycemia or episodes of hypoglycemia late after meals in non-diabetic, non-acutely ill patients. Increasing the titer of insulin autoantibodies and immune reactive insulin occurs owing to both genetic influences and environmental triggers such as medication, genetic instability and other factors. It is associated with the use of drugs comprising sulfhydryl groups, such as methimazole, clopidogrel and alpha lipoic acid, mostly. Insulin autoantibodies appear a few weeks after the exposure of sulfhydryl radicals. Here, we summarize the case of IAS caused by drug administration. Clinical Case A 60-year-old female patient who has a history of migraine for 30 years was referred to our hospital for feeling of hunger, dizziness, sweating, tremor, and palpitations for 1 month. These symptoms had commenced episodically, soon after starting 600 mg/day of alpha lipoic acid. She was diagnosed with hypoglycemia based on a plasma glucose concentration of 31 mg/dL. There was no personal or family history of diabetes mellitus, or previous use of oral hypoglycemic drugs such as sulfonylureas or exogenous insulin. No abnormality was detected in the systemic examination. She had no smoking and alcohol abuse. Her regular medication was tricyclic antidepressant (amitriptyline). Laboratory results are presented in Table 1. On our evalution, the serum levels of insulin, C-peptide, and anti-insulin antibody titers were inappropriately elevated in the presence of hypoglycemia, confirming the diagnosis of hyperinsulinemic hypoglycemia. Thyroid function, human growth hormone, insulin growth factor-1 (IGF-1), and cortisol result were within normal limits. Screening for antinuclear factor, serum protein electrophoresis, serology for viral hepatitis, and other autoimmune diseases were negative. Insulinoma was excluded with computed tomography. In light of the above results, a diagnosis of IAS was made with possible alpha lipoic acid. Because, alpha lipoic acid was the only medication being taken associated with a sulfhydryl group. The patient was prescribed oral methylprednisolone (32 mg once daily), alpha lipoic acid was withdrawn. Hypoglycemia did not occur after methylprednisolone treatment of follow-up. Methylprednisolone treatment was tapered to 4 mg once daily within 2 months. The insulin, and anti-insulin antibody titers had decreased. Conclusion We report a rare case of IAS. Sulfhydryl group containing drugs such as alpha lipoic acid might induce or exacerbate hypoglycemia in patients with a history of IAS. For this reason, the use of alpha lipoic acid should be questioned in patients with IAS. Table 1. Laboratory test results

Self-care Behaviour of Pregnant Women with Gestational Diabetes Mellitus at a Tertiary Care Hospital in Lucknow, India: A Quasi-experimental Study

Introduction: India is now the diabetes capital of the world. The rising burden of Gestational Diabetes Mellitus (GDM) adds to the existing diabetes burden. Euglycemia is achieved once the baby is delivered. The first line of management of GDM is mainly through lifestyle modification with diet and physical activity. There is a dearth of information from Lucknow city about how well pregnant women with GDM adhere to dietary changes and exercise recommendations, or how counselling helps them deal with their GDM. Aim: To assess the self-care behaviour related to diet, physical activity, and Self-Monitoring of Blood Glucose (SMBG) of pregnant women diagnosed with GDM. Materials and Methods: A total of 188 pregnant women diagnosed with GDM were selected for present quasiexperimental study. The study participants were recruited from the antenatal Outpatient Department (OPD) at the Department of Obstetrics and Gynaecology of Queen’s Mary Hospital, King George Medical University (KGMU), Lucknow, India. The total study duration was from November 2019 to November 2022. Pregnant women diagnosed with GDM according to Diabetes in Pregnancy Study Group in India (DIPSI) criteria, up to 28 weeks of gestation, who gave their written consent to participate in the study and were living within a 15-kilometer radius of the study Institute, were included in the study. One group of the study participants received one-to-one counselling, an individualised diet plan, along with usual GDM care, and the other group received usual GDM care during their antenatal visits. The summary of diabetes self-care was adapted to assess adherence to the recommended dietary and physical activity modifications, as well as self-monitoring of blood glucose. Data were analysed using R software version 4.1.1 (R Core Team, 2021). All categorical data were presented using frequency and percentages. The comparison of baseline demographic and clinical parameters of pregnant women between the two groups was done using the Chi-square test or Fisher’s-exact test for categorical observations based on the expected frequency. The independent sample t-test or Mann-whitney U test for continuous measurements was used after checking the normality assumption using the Shapiro-wilk test. The change in scores of general diet, specific diet, physical activity, and SMBG throughout all follow-ups was assessed by repeated measures Analysis of Variance (ANOVA). The change from the first follow-up visit to subsequent follow-up visit was compared using a mixed linear model with follow-up visits. The p-value was considered significant at a 5% level of significance for all comparisons. Results: The mean age of the pregnant women with GDM was 27.6±3.7 years in the intervention group and 27.9±3.9 years in the control group (p=0.451). The pregnant women with GDM in the two groups did not show significant differences in terms of socio-demographic variables such as age, religion, education, socio-economic status, occupation, type of family, and family history of diabetes mellitus. A significant difference was observed in the dietary and physical activity scores between the two groups of pregnant women with GDM. However, no difference was observed in the case of self-monitoring of blood glucose scores of the two groups. Conclusion: The study concluded that counseling plays an important role in helping pregnant women with GDM adhere to the recommended dietary modifications and physical activity.

Risk Assessment for Non Communicable Diseases among Adults in a Rural Area of Eastern India: A Single Centre Cross-sectional Study

Introduction: Non Communicable Diseases (NCDs) cause significant premature mortality. Prevention of major cardiovascular disease risk factors, like diabetes and hypertension, is a priority for public health. Aim: To estimate the risk assessment of NCD using the Community-Based Assessment Checklist (CBAC) scoring system developed by the Government of India among adults in rural areas. Materials and Methods: This community-based cross-sectional study was conducted among 400 adults attending the hospital at the rural health training centre of Kalinga Institute of Medical Sciences (KIMS), Bhubaneswar, Odisha, India, from March 2023 to August 2023 using consecutive sampling. Face-toface interviews using a structured CBAC questionnaire and socio-demographic variables were used to gather data on age, tobacco consumption, alcohol intake, waist measurement, physical inactivity, and family history. Data were analysed using IBM Statistical Package for Social Sciences (SPSS) version 21.0 and interpreted in frequencies, percentages, and the Chi-square test. A p-value &lt;0.05 was considered statistically significant. Results: The overall risk of NCD was estimated to be 57.25%. The risk of NCD was significantly associated with age (p-value &lt;0.00001), tobacco consumption (p-value &lt;0.0001), alcohol consumption (p-value &lt;0.0001), waist circumference (p-value &lt;0.0001), physical activity (p-value=0.000018), family history of diabetes mellitus, hypertension, and cardiovascular illness (p-value &lt;0.00001), education (p-value=0.0079), and socioeconomic status (p-value=0.0415). Conclusion: The overall risk of NCD was estimated to be 57.25%. Most of the CBAC variables were found to have a significant association with NCD risk. However, no significant association was found between CBAC variables and gender. CBAC is a simple and economical screening tool employed at the community level so that early intervention strategies can be planned for those at risk of NCDs.

Diabetes mellitus progression in β-thalassaemia major patients: The impact of iron overload

ABSTRACT Regular blood transfusion therapy and enhanced iron absorption in patients with β-thalassemia major lead to progressive accumulation of iron in the patient’s tissues. Iron overload disrupts the function of pancreatic β-cell, deteriorates insulin resistance, increases blood glucose levels, and precipitates diabetes mellitus (DM). A family history of DM, obesity, sedentary lifestyle, and age increase the risk of DM in β-thalassemia patients. The prevalence of DM among individuals with β-thalassemia major is on the rise despite considerable screening and management efforts. Therefore, more research is still warranted to fully understand the molecular underpinnings linking β-thalassemia major and the onset and progression of DM to develop more robust screening and management approaches. In this context, no reliable biomarkers are currently available to predict or detect DM in such patients. In this review, we elaborate on key tentative links between thalassemia and DM and expand on established metabolic alterations that associate with DM in patients with β-thalassemia major. The review also addresses the prevalence rates and patient management strategies and underscores the need for identifying DM-related predictive and diagnostic biomarkers in β-thalassemia major patients.

Rising prevalence of gestational diabetes mellitus and its associated risk factors in Makurdi, North-Central Region of Nigeria

Background: The disease burden of gestational diabetes mellitus (GDM) in sub-Saharan African region have been on the rise. Proper assessment of current prevalence of GDM may inform policy changes and management approach for improved care delivery.Objective: To determine the current prevalence of Gestational Diabetes Mellitus (GDM) and evaluate its major risk factors amongst pregnant women in Makurdi, North-Central Nigeria.Method: This was a multi-center hospital-based prospective observational study. Maternal characteristics and clinical risk factors for GDM in a cohort of 281 pregnant women at 9 to 16 weeks gestational age was evaluated. The one-step 75g oral glucose tolerance test (OGTT) was carried out at 24 to 28 weeks of gestation.Result: Of the 356 women recruited, 281 (79.8%) completed the study. The GDM prevalence in the cohort was 16.7%. Increased early pregnancy BMI (adjusted OR = 1.154, 95% CI = 1.080 – 1.233, p&lt;0.001) and presence of family history of diabetes mellitus (adjusted OR = 0.482, 95% CI = 0.233 – 0.997, P&lt;0.05) were independent risk factors for GDM in the cohort.Conclusion: Increasing maternal age and early pregnancy BMI amongst other possible reasons, may account for the rising prevalence of GDM in the region.

Undiagnosed status and associated factors of diabetes mellitus among adults living in eastern Ethiopia: Unmasking a silent killer of prevalence of diabetes mellitus

BackgroundThe global prevalence of diabetes mellitus (DM) is increasing rapidly, with special concern for the entity silent or undiagnosed diabetes; those unaware of their condition. It is important to uncover the hidden extent of diabetes in order to identify diabetes-related problems early. Therefore, this study aimed to assess the prevalence of undiagnosed DM and associated factors in Eastern Ethiopia. MethodsA quantitative, community-based cross-sectional study was conducted among 609 adults not known to be diabetic from January 03 to February 23, 2023. A multi-stage sampling technique and a validated standardized instrument were used. Each participant was interviewed to collect socio-demographic and behavioral characteristics data. Anthropometric measurements were recorded. The fasting blood glucose (FBG) test was assessed by samples taken early in the morning, 8 h after night fasting. Undiagnosed DM was defined as not being diagnosed with Diabetes mellitus and an FBG level of ≥126 mg/dl. To identify factors associated with undiagnosed DM, logistics regression was used. The level of statistical significance was set at a value of p < 0.05. ResultsThe prevalence of undiagnosed diabetes mellitus was 8.64 % (95 % CI: 6.7–11.2). The multivariable analysis showed that sedentary behavior, family history of diabetes mellitus, current hypertension, and fruit consumption of fewer than three servings per week were independently associated with undiagnosed DM in studied participants. ConclusionAlmost one in eleven adults living in the study area had undiagnosed DM, and various associated factors identified were modifiable risk factors that could be useful in planning intervention measures for lifestyle modification.

Magnitude and predictors of pre-diabetes among adults in health facilities of Gondar city, Ethiopia: a cross-sectional study.

Impaired glucose tolerance currently affects 374 million (7.5%) people worldwide, and by 2030, this number is predicted to affect 454 million (8%). Urban inhabitants have an increased risk of developing pre-diabetes. Thus, the study aimed to assess the magnitude of pre-diabetes and associated factors among adults attending outpatient departments of the health facilities of Gondar, Ethiopia. From 3 March to 18 April 2020, an institution-based cross-sectional study was conducted. A systematic random sampling technique was used to select 992 participants. Data were gathered using an interviewer-administered questionnaire, and fasting blood glucose was assessed using capillary blood. Bivariable and multivariable binary logistic regression analyses were fitted to check the association between independent variables and pre-diabetes. Statistical significance was declared at a level of P of <0.05. The prevalence of pre-diabetes was 16.6% (95% CIs: 14.3-18.8%). Age [AOR = 3.66, 95% CIs (2.05, 6.52)], a family history of diabetes mellitus [AOR = 3.46, 95% CIs (2.16, 5.52)], waist circumference [AOR = 3.6, 95% CIs (2.26, 5.88)], physical activity [AOR: 5.02, 95% CIs (2.87, 8.77)], dietary diversity [AOR = 3.07, 95% CIs (1.95, 4.84)], and smoking [AOR = 2.9, 95% CI (1.42, 6.05)] were factors associated with pre-diabetes. From our study, we can conclude that one in six adults in the health facilities have pre-diabetes. Age, family history of diabetes, waist circumference, physical activity, dietary diversity, and smoking were the factors associated with pre-diabetes. Therefore, it is recommended that adults should be educated on modifying their lifestyle, including their diet, and substantial care should be provided for older adults.

Influencing factors of post-transplantation diabetes mellitus in kidney transplant recipients and establishment of a risk prediction model.

The aim was to explore the influencing factors of post-trans-plantation diabetes mellitus (PTDM) in kidney transplant recipients and to es-tablish a risk prediction model. A retrospective analysis was performed on the clinical data of 408 patients subjected to kidney transplantation from May 2015 to March 2022. With the simple random sampling method, they were divided into a training set (n=306) and a test set (n=102) at a ratio of 3:1. According to the occurrence of PTDM, the training set was further classified into PTDM and non-PTDM groups. The influencing factors of PTDM were identified by least absolute shrinkage and selection operator and multivariate logistic regression analysis. A nomogram prediction model was constructed and validated. Non-PT-DM and PTDM groups had significantly different preoperative body mass index (BMI), family history of diabetes mellitus, 2-h preoperative and postprandial blood glucose, 2-hpreoperative and postprandial peptide index, postoperative hypomagnesemia, whole blood concentration of tacrolimus, triacylglycerol, glycated albumin and fasting blood glucose (P&lt;0.05). BMI, family history of diabetes mellitus, 2-h preoperative and postprandial blood glucose, and post-operative whole blood tacrolimus concentration were independent risk factors for PTDM. In contrast, the 2-h preoperative and postprandial peptide index was an independent protective factor (P&lt;0.05). The incidence of PTDM in patients receiving kidney transplantation correlates with the family history of diabetes mellitus, preoperative BMI, 2-h postprandial blood glucose, 2-h postprandial peptide index, and postoperative whole blood tacrolimus concentration.

Red Cell Distribution Width and Prediabetes in Adults in Northern Sudan: A Case-Control Study.

Diabetes mellitus (DM) is a major public health issue worldwide. Red cell distribution width (RDW) has been reported to have predictive value in several diseases, including DM. Few data exist on the association between RDW and the prediabetic stage. Thus, the present study aimed to investigate the association between RDW and prediabetes in adults in Sudan. This case-control study was conducted in Northern Sudan in 2022. The cases (n = 107) were prediabetic patients categorized according to the level of glycated hemoglobin (HbA1c), which ranged from 5.7% to 6.4%, while the controls (n = 107) were healthy participants. A questionnaire was used to collect the data. Standard methods were used to measure the HbAIc level and RDW. Logistic regression analysis was performed. The median (interquartile range (IQR)) of the RDW was significantly higher in prediabetic patients than in the controls (14.5% [13.8-15.3%] vs. 14.1% [13.6-14.7%], p = 0.003). Sex, educational level, occupational status, marital status, cigarette smoking, alcohol consumption, family history of DM, and body mass index were not associated with prediabetes. In the multivariate-adjusted model, higher age and higher RDW were associated with prediabetes. A positive correlation was found between RDW and HbA1c levels (r = 0.19, p = 0.006). In conclusion, this study supports the use of RDW as a predictor of DM.

Diabetic Foot Ulcers and Their Surgical Management: Our Experience at Hayatabad Medical Complex, Peshawar.

Surgeons face a therapeutic challenge while treating diabetic foot ulcers (DFUs), particularly in underdeveloped nations with limited healthcare resources and a high proportion of patients who arrive at medical institutions with advanced foot ulcers. To assess the effectiveness of treatment in patients with DFUs and to demonstrate how early surgical intervention and appropriate bedside medical care can improve results. This prospective study was carried out at Hayatabad Medical Complex, Peshawar, Pakistan, to assess how DFUs changed over a period between November 2021 and December 2022 at the wards and at the outpatient department of endocrinology and general surgery. A diabetic patient's foot is first screened for ulceration in the endocrinology department, and only those with active ulcers are referred to the surgical department. According to the Wagner classification, there were six (13.6%) cases in grade I, 11 (25%) in grade 2, 10 (22.7%) in grade 3, 13 (29.5%) in grade 4, and four (9%) in grade 5. Among comorbidities, a family history of diabetes mellitus was noted in 25 (56.8%) patients, followed by tobacco chewing and alcohol in 10 (22.7%) and hypertension in nine (20.4%) patients. Diabetes foot ulceration is the most common reason for non-traumatic lower limb amputation in people with diabetes mellitus and is a significant cause of morbidity and mortality.