Family History Of Diabetes Mellitus Research Articles

The utility of first trimester plasma glycated CD59 (pGCD59) in predicting gestational diabetes mellitus: A prospective study of non-diabetic pregnant women in Ireland

AimsTo evaluate the ability of first trimester plasma glycated CD59 (pGCD59) to predict gestational diabetes mellitus (GDM) at 24–28 weeks of gestation. MethodsProspectively, in 378 pregnant women, GDM was diagnosed using the one step 2 h 75 g oral glucose tolerance test adjudicated by the World Health Organisation (WHO) 2013 criteria. The ability of pGCD59 to predict GDM was assessed using receiver operating characteristic (ROC) curves adjusted for maternal age, body mass index (BMI), maternal ethnicity, parity, previous GDM, family history of diabetes mellitus and week of gestation at time of pGCD59 sampling. ResultspGCD59 generated an adjusted area under the curve (AUC) of (a) 0.63 (95 %CI:0.56–0.70, p < 0.001) for predicting GDM, and (b) 0.71 (95 %CI:0.62–0.79, p < 0.001 for GDM diagnosed with a fasting plasma glucose (FPG) ≥ 5.1 mmol/L. Sensitivity analysis of BMI subgroups showed that pGCD59 generated the highest AUC in the 35 kg/m2 ≤ BMI < 40 kg/m2 (AUC:0.85, 95 %CI:0.70–0.98) and BMI ≥ 40 kg/m2 (AUC:0.88, 95 %CI:0.63–0.99) categories. ConclusionsEarly in pregnancy, pGCD59 may be a good predictor of GDM in women with a high BMI and a fair predictor of GDM diagnosed by an elevated FPG independent of BMI.

The prevalence of gestational diabetes, associated factors and feto-maternal outcome among antenatal women attending health clinics in Terengganu

Introduction: Gestational diabetes mellitus (GDM) is a known risk factor for diabetes mellitus (DM). The rising prevalence of GDM in the Asian population (11.7%) may explain the increasing incidence of DM in women. This study examined the prevalence of GDM, its associated factors and the foeto-maternal outcomes of women with GDM in Terengganu. Methods: A cross-sectional study was conducted between April and September 2019 using secondary data from antenatal records in 40 health clinics in Terengganu for 2018. All pregnant women aged 25 years and above with or without risk factors for GDM were included in the study. Those with pre-existing type 1 or 2 DM were excluded. A total of 270 respondents were included. The prevalence of GDM and its associated factors were determined using descriptive statistics followed by multiple logistic regression. Results: The prevalence of GDM in Terengganu was 27.3% (n=72). Logistic regression analysis found that BMI at booking (adjusted OR=4.51, 95% CI 2.13–9.55, p&lt;0.001), history of GDM (adjusted OR=5.31, 95% CI 2.17–12.99, p&lt;0.001) and family history of DM (adjusted OR=4.24, 95% CI 2.23–8.05, p&lt;0.001) were the significant associated risk factors. Of women with GDM, 17.7% (n=11) had postpartum pre-diabetes based on modified oral glucose tolerance at 6 weeks postpartum. Univariate analysis using chi-square tests showed a significant association of neonatal jaundice and hypoglycaemia with GDM. Conclusion: Because the prevalence of GDM in Terengganu is high, surveillance of GDM in highrisk pregnancies and effective glycaemic management should be emphasised to prevent adverse foeto-maternal outcomes.

Prediabetes and its correlates in a suburban community in South-South Nigeria

Abstract Background: Prediabetes is a high-risk state for diabetes mellitus (DM) and is associated with the chronic complications of DM. There is paucity of data on prediabetes and its associated risk factors in Nigeria, particularly in the suburban setting. The aim of this study was to determine the prevalence of prediabetes and its associated risk factors in a suburban community in south-south Nigeria. Materials and Methods: This was a cross-sectional analytical study carried out among 382 adult residents in Mosogar, Delta State. An interviewer-administered questionnaire was used to obtain the socio-demographic and clinical information of the subjects. Anthropometric measurements and blood pressure were done according to standard protocols. Blood sample was collected for oral glucose tolerance test, fasting serum lipid profile, and glycated hemoglobin (HbA1c). Results: A total of 350 subjects (36.3% men and 63.7% women) completed the study. The mean (standard deviation) age of the participants was 46 (14.1) years. The prevalence of impaired fasting glucose, impaired glucose tolerance, and impaired HbA1c was 16.6%, 16.3%, and 19.2%, respectively. The overall prevalence of prediabetes and undiagnosed DM was 22.0% and 5.1%, respectively. On multivariate logistic regression, the significant predictors of prediabetes were increasing age, a family history of DM (adjusted odd’s ratio [AOR] 16.14, 95% confidence interval [CI] = 3.25–88.36), overweight (AOR 4.08, 95% CI = 1.72–9.63), obesity (AOR 5.63, 95% CI = 1.59–19.90), inadequate physical activity (AOR 5.28, 95% CI = 2.08–13.41) and elevated triglycerides (AOR 9.69, 95% CI = 1.77–53.18). Moderate alcohol intake was associated with a reduced risk for prediabetes (AOR 0.33, 95% CI = 0.12–0.92). Conclusion: There was a high prevalence of prediabetes in Mosogar community, Delta State. There is need for education of community members on dietary and lifestyle modifications aimed at reducing the risk of prediabetes and ultimately diabetes.

Demographics and Awareness of Diabetic Retinopathy among Diabetic Patients Attending Department of Ophthalmology at Dhulikhel Hospital

Background Diabetes mellitus is considered as a major public health concern globally. Poor management of diabetes may lead to several serious complications including endstage renal disease, diabetic retinopathy, diabetic neuropathy, and cardiovascular complications. Among them diabetic retinopathy is one of the leading causes of visual impairment and blindness in Nepal.&#x0D; Objective To assess the demographics and level of awareness among individuals with diabetes about diabetic retinopathy during their visit to Department of Ophthalmology at Dhulikhel Hospital.&#x0D; Method A descriptive cross-sectional study was conducted involving all consecutive cases of diabetes mellitus who attended eye clinic with the principal investigator and co-investigator from March 2021 to August 2021. Detailed demographics of the participants, their level of awareness regarding diabetic retinopathy and associated complications were documented. This was followed by a detailed ocular examination intending to screen for the presence of features of diabetic retinopathy.&#x0D; Result A total of 260 patients with a mean age of 54 years ± 12.20 (range of 24 - 85 years) were included. The male to female ratio was 2.2:1. Among them, 65.4% of the patients had diabetes mellitus for less than 5 years duration. Diabetic retinopathy was found in 18.46% of the cases. Awareness of diabetic ocular complications was significantly higher among literate population (p = 0.054), among those who have positive family history of diabetes mellitus (p = 0.529) and those who had undergone prior fundus evaluation (p = 0.000).&#x0D; Conclusion From result of this study, we can emphasize that there is a necessity for health education in order to increase the awareness and knowledge about diabetic retinopathy to lower the burden of sight threatening complications related with the issue.

Lifestyle as an Indicator of Central Obesity in Coal Mining Workers from Indonesia

Introduction: Central obesity is an indicator of several non-communicable diseases, influenced by a lifestyle with low physical activity and foods consumption. Statistics in Indonesia showed that central obesity was 3.70% causing death in coal mining workers. However, few studies examine the risk factors for coal mining workers in Indonesia. Thus, this study aims to determine lifestyle indicators of central obesity in coal mining workers. Methods: It was a cross-sectional study, measuring abdominal circumference with a tape measure, using a standard questionnaire for risk factors of central obesity (age, family history, smoking habits, exercise habits, drinking alcohol habits, and food frequency). The sample was 22 workers of a coal mining company in Indonesia and data collection was done in November 2021. Results: All respondents were male, were not drinking alcohol, were less than 40 years old (55%), and most had no family history, but five percent (5%) had a family history of diabetes mellitus. Smokers (54.5%), light category smokers (33.3%) with a smoking duration of less than ten years (55.6%), having the habit of exercising less than two times a week, more than equal to 30 minutes per day. Among respondents, most of them consumed eating steamed rice (86.4%), chicken cooked 'habang' (40.9%), tofu (31.8%), kale (54.4%), apples (63.6%), and fried foods (45.5%). Lifestyles that have a relationship with central obesity are the length of exercise per day (0.003), the frequency of eating bread (0.033), and bananas (0.026). Conclusion: Indicators of central obesity can be prevented by monitoring indicators of lifestyle factors (exercising habits, frequency of eating bread, and bananas).

The ability of a low value on an early GCT to identify women not needing repeat testing in the second trimester

Objective To evaluate the predictive value of a low early glucose challenge test (GCT) in ruling out a subsequent diagnosis of gestational diabetes in the second trimester. Methods This was a retrospective cohort study of women at a single clinic who had a normal early GCT between 2016 and 2020. Patients who did not have repeat screening in the late second trimester were excluded. Demographic data were extracted from the record. The primary outcome was a normal GCT or glucose tolerance test in the late second trimester. Logistic regression and receiver operator curves (ROC) were performed to assess the ability of the early GCT value to predict subsequent normal glucose screening. Results Of the 532 pregnant persons with normal early GCT, 62 (11.7%) were subsequently diagnosed with gestational diabetes in the second trimester. None of the patients (N = 56), who had a GCT value less than 80 mg/dL were diagnosed with gestational diabetes in the second trimester. The prediction of subsequent normal screening using the early GCT on a ROC plot produced an area under the curve (AUC) of 0.67, 95% CI (0.60–0.74). Adding age, prior history of gestational diabetes and family history of diabetes mellitus to the prediction, only improved the AUC to 0.75, 95% CI (0.66, 0.82). Conclusion Early GCT value was a fair predictor for normal second trimester glucose testing for gestational diabetes. However, high-risk patients with an early GCT value of less than 80 mg/dL may be able to forego repeat second trimester screening.

Prediction of Type 2 Diabetes Mellitus Using Soft Computing

Background: Type 2 Diabetes Mellitus (DM) is another pandemic of 21 century, and its control is of immense importance. Researchers developed many predictor models using soft computing techniques. The present study developed a prediction model for Type 2 DM using machine learning classifiers. The analysis excludes plasma glucose concentration and insulin concentration as predictors to explore relationships with other predictors. Background: Methods: This cross-sectional study enrolled 108 participants aged 25 to 67 years from SMS Medical College, Jaipur (Rajasthan, India), after approval from the ethics committee. The study developed a prediction model using machine learning techniques. The classifiers used in the application include decision trees, support vector machines, K-nearest neighbors, and ensemble learning classifiers. A total of 25 predictors were collected and underwent feature reduction. The response levels include diabetes mellitus, prediabetes, and no diabetes mellitus. The models were run using three predictors and a response variable. The prediction model with the best accuracy and area under the receiver operator characteristic curve was selected. Results: The features that vary among the three groups include age, WHR, biceps skinfold thickness, total lipids, phospholipids, triglycerides, total cholesterol, LDL, VLDL, and serum creatinine, and family history of DM. After feature reduction, the age, biceps skinfold thickness, and serum creatinine were run on the Classification learner application to predict the diabetic category. The best model was subspace discriminant with accuracy, sensitivity, specificity, and AUC under the ROC curve was 62.4%, 74%, 94%, and 0.70, respectively. Conclusion: The present study concludes that age, biceps skinfold thickness, and serum creatinine combination have higher specificity in predicting type 2 DM. The study emphasized the selection of appropriate predictors along with newer machine learning algorithms.

Prevalence of diabetes mellitus among newly detected sputum positive pulmonary tuberculosis patients and associated risk factors: A cross-sectional study

Background: Tuberculosis (TB) and diabetes mellitus (DM) co-morbidity is one of the rising public health problems. There is growing evidence that DM is an important risk factor for TB. This study was carried out to know the prevalence of DM among newly detected sputum positive pulmonary TB patients registered in District Tuberculosis Centre and to assess the risk factors of DM among TB patients. Methods: In a cross-sectional study, newly detected sputum positive pulmonary TB patients were screened for DM (those having symptoms of DM). Furthermore, they were diagnosed by detecting blood glucose levels (≥200 mg/dL). Mean, standard deviation (SD), Chi-squared and Fisher-Freeman-Halton exact tests were used to determine the significant associations. P-values less than 0.05 were considered to be statistically significant. Results: A total of 215 TB patients were included in this study. The prevalence of DM among TB patients was found to be 23.7% (2.8% known and 97.8% new cases). Significant associations were found between age (&gt;46 years old), educational status, smoking habits, alcohol consumption, physical activity, presence of DM symptoms and family history of DM. Conclusions: Routine screening for DM is mandatory due to its increasing prevalence, which may help in early diagnosis and to reduce complications by proper management that in turn helps in the successful outcome of TB treatment.

The Role of Antihyperglycemic Drugs and Diet on Erectile Function: Results from a Perspective Study on a Population with Prediabetes and Diabetes.

Background. The purpose of this study was to evaluate the effect of diet and antihyperglycemic drugs on erectile dysfunction (ED) in a setting of subjects affected by diabetes mellitus (DM) or preDM. Methods. This is a prospective observational study on 163 consecutive subjects with preDM or DM. All patients have undergone a medical evaluation (age, Body Mass Index (BMI), family history of DM, duration of DM, smoking, physical activity, dyslipidemia, cardiovascular comorbidities, and testosterone and HbA1c levels) and the International Index of Erectile Function (IIEF)-5 questionnaire. Results. Overall, the mean age was 62.8 ± 9.3 years, and the mean BMI was 28.4 ± 4.6 kg/m2. The IIEF-5 score mean value was 14.4 ± 6.2 (range 4–25). Among all confounders investigated for their association with the IIEF-5 score, only age and the duration of DM among diabetic patients showed a significant trend. The IIEF-5 score was higher in patients using GLP-1a compared to insulin (16.7 ± 4.7 vs. 12.9 ± 6.2; p = 0.02). This association was confirmed after adjustment for age and duration of DM (p = 0.01). All other treatments were similar (14.9 ± 6.2, 14.8 ± 9.2, 15.3 ± 5.4, and 13.6 ± 6.8 for metformin, sulfonylureas (SU), dipeptidyl-peptidase-4 inhibitors (DPP-4i), and sodium-glucose cotransporter-2 inhibitors (SGLT2i) treatment, respectively). Conclusions. This prospective observational study increases attention and focus on the effect of antihyperglycemic drugs and diet on ED, above all about the role of new classes, showing a significant higher IIEF-5 mean value in patients using GLP-1a compared to patients on insulin treatment.

Previous adverse pregnancy events as a predictor of gestational diabetes mellitus in Southern Ethiopia: a case control study

Introduction Gestational diabetes mellitus is a type of glucose intolerance that first manifests itself during pregnancy. A pregnant woman and her unborn child are at an increased risk of pregnancy complications and poor neonatal outcomes. Pregnancy diabetes affects one out of every 200 women. Therefore, this study aims to identify the determinants of gestational diabetes mellitus among pregnant women attending an antenatal care service in Gedeo Zone, Ethiopia. Methods A facility-based case-control study design was employed from 25 January 2020 through 25 April 2020. The study included 80 cases and 240 control groups of pregnant women. Face-to-face interviews with structured questionnaires were used to collect data. For analyses, data was entered into Epidata version 3.1 and exported to the Statistical Package for the Social Sciences (SPSS) version 23.0. Variables with p .25 or lower in bivariate analysis were fitted to multivariable analysis. A multivariable logistic regression model with a 95% confidence interval and a p-Value of .05 was used. Results Family history of diabetes mellitus [AOR 1.837; 95% CI (1.06–3.18)], history of spontaneous abortion [AOR 2.39; 95% CI 1.33–4.31), history of still birth [AOR 2.240 (1.222–4.105)], and history of delivery of a macrocosmic baby in the previous pregnancy [AOR 1.99 (1.157–3.43)] were found to be predictors of GDM. Conclusion Previous adverse pregnancy outcomes were found to be the main predictors of GDM. Women with gestational diabetes mellitus should be followed after delivery in order to monitor hyper-glycemic status.

Analysis of Risk Factors for the Development of Gestational Diabetes Mellitus in a Group of Romanian Patients.

Introduction Gestational diabetes mellitus (GDM) is caused by numerous risk factors, the most common being old age, obesity, family history of diabetes mellitus, GDM, history of fetal macrosomia, history of polycystic ovary syndrome or treatment with particular drugs, multiple births, and certain races. The study proposed to analyze the risk factors causing GDM. Method In the study, we included 97 pregnant women to whom there was an OGTT performed between weeks 24th and 28th of pregnancy, divided into two groups, with GDM and without GDM. The statistical analysis was performed with SPSS 26.0, the tests being statistically significant if p value < 0.05. Results The favoring risk factors for the onset of GDM were analyzed, with statistically significant differences between the GDM group and the group without GDM related to the delivery age (32.39 ± 4.66 years old vs. 28.61 ± 4.71 years old), history of fetal macrosomia (13.7% vs. 0%), presence of GDM during previous pregnancies (7.8% vs. 0%), HBP before pregnancy (9.8% vs. 0%), gestational HBP (17.6% vs. 0%), glycemia value at first medical visit (79.37 ± 9.34 mg/dl vs. 71.39 ± 9.16 mg/dl), and weight gain during pregnancy (14.61 ± 4.47 kg vs. 12.48 ± 5.87 kg). Conclusions Identifying the risk factors for the GDM onset has a special importance, implying an early implementation of interventional measures in order to avoid the onset of GDM and associated maternal and fetal complications.

Determinants of blood sugar level among type I diabetic patients in Debre Tabor General Hospital, Ethiopia: a longitudinal study

In 2019 among all populous countries in Africa, Ethiopia has the fourth-highest number of people with diabetes (1.7 million). This aggravated prevalence figure implies that diabetes mellitus is a major public health problem in Ethiopia. Due to urbanization, this problem is very critical in the Amhara region, Ethiopia. The study aimed to identify factors that affect the longitudinal fasting blood sugar among T1DM (Type I diabetes mellitus) patients in Debre Tabor General Hospital (DTGH); North-west Ethiopia. A retrospective study design was conducted from 210 randomly selected T1DM patients in the clinic (Outpatient Department) at Debre Tabor General Hospital under the follow-up period from September 2019 to August 2021. To fit these retrospective data records, we used Random intercept and slope models. In this study, the unstructured variance–covariance structure was the appropriate structure for the random intercept and slope model. At a 5% level of significance, family history of diabetes mellitus, age, comorbidity, hemoglobin, and visit time in months were significant factors. Also, all the random effect parameters were statistically significant. It implies that the variability within and between T1DM patients in FBS over time was statistically significant. The mean fasting blood sugar level at baseline was 5.4944 mg/dl and decreased to 5.0679 mg/dl at the final follow-up time. Major contributors for the increment of fasting blood sugar level were increasing age, decreasing haemoglobin, having comorbidity, and belonging from a family with diabetes history. The overall within and between variability in fasting blood sugar level among T1DM patients in DTGH were high. Intervention measures at DTGH level should be undertaken using health education and other measures by providing an emphasis on the prevention, early detection, and treatment of diabetes mellitus.

Relationship between a near Melanocortin-4 receptor gene variant and puberty timing in children is vague unlike obesity.

Obesity is a complicated phenomenon which is a combination of genetic, environmental, and psychological factors. Genetic factors of obesity play an important role in individual risk. It is well known that obese children have disturbed puberty timing. To the best of our knowledge, no study has been performed to investigate the association between MC4R gene mutation and puberty timing. This study was performed as a cross-sectional study evaluating the near MC4R rs17782313 variation in 60 obese children and 98 healthy non obese children. Weight, height, BMI ( Body Mass Index ), BMI z-score (BMIz), family history of diabetes mellitus and obesity, the age of the obesity onset, overeating behavior, type of obesity (central or general) and puberty stage were evaluated in 60 obese children. The average age of the participants was 14.87 (+/- 1.3) years, with average weight and BMI of 90.77 (+/-12.2) Kg and 31.72 (+/-4.35) Kg/m2, respectively. Compared to healthy non obese patients, those with C-T genotype (C-T Vs. T-T and C-C) had higher odds of obesity than those with T-T and C-C genotype (p < 0.0001) while genotype TT showed significant protective effect (p = 0.0007). The heterozygote individuals (CT) have a higher BMIz than homozygote ones (CC and TT) (2.8 vs. 2.5 Kg/m2, p = 0.04). children with CT genotype have 5.1 increased risk of obesity. While genotype TT showed significant obesity protective effect. We did not find association of this polymorphism with either childhood eating disorders or puberty. It is recommended to perform a cohort study in a larger sample. The online version contains supplementary material available at 10.1007/s40200-022-01011-5.

Knowledge, Attitude, practice, and their associated factor towards Diabetes Mellitus among peoples live in Debre Markos Town, North West Ethiopia, Amhara Regional State, Ethiopia 2020 GC.

Background: Diabetes mellitus is a group of metabolic disease in which there is high blood glucose level over a prolonged period of time, chronic multi system disease related to abnormal insulin production, impaired insulin utilization and both. Risk of diabetes are obesity, being young or old age, family history of diabetes, history gestational diabetes, impaired, glucose metabolism, physical inactivity and ethnicity/race respectively. In type one diabetes mellitus insulin injection is needed to control the blood glucose level where as in type two diabetes mellitus the first line treatment is life style modification like diet management, exercise, and weight reduction then if uncontrolled use oral hypoglycemic agent. Objective: The main aim of the study was to assess Knowledge, Attitude, practice and their associated factor towards diabetes mellitus in Debre Markos town, northwest, Amhara Regional state, Ethiopia 2020 GC. Methodology: A community based cross-sectional study was conduct from June to July for 403 respondents using systematic random sampling technique to select the household after select the first household by lottery method. Data collected through self administered questions, the collected data process and analysis manually using pen, pencil, tally sheet and present in tables, graphs and charts respectively. Result: Based on our study 138 (34.6%) of the respondents were classified as having inadequate knowledge, whereas 261(65.4%) of the respondents were deemed to be knowledgeable. from the participant 186(46.6%) had unfavorable attitude while 213(53.4%) had favorable attitude towards diabetes mellitus. Overall practice of the participant was 37.8% good practice and 62.2% poor practice. Single individuals 5.133 times (AOR=5.133, CI=1.737, 15.051) more likely knowledgeable than those divorced. Family history of diabetes mellitus 5.019 times (AOR=5.02- CI=1.59-15.76) more likely had favorable attitude than those who had no family history of DM. secondary educational level were 2.34 times (AOR=2.34, CI=1.14- 0.78) more likely good practice than those with able to read and write and persons in primary educational level. DM patients 2.811 times (AOR=2.81-95%, CI=0.99- 7.97) more likely good practice than non-diabetic. Conclusion: Majority of the participant’s relatively knowledgeable. The overall attitude of the participant was more than half was favorable attitude. Majority of the study participants were poor practice regarding to DM controlling and management. Knowledge of the participant highly significant association with marital status, income and practice, practice also strong association with level of education and attitude significantly associated with family history of DM

Prediction models as gatekeepers for diagnostic testing in angina patients with suspected chronic coronary syndrome.

Assessment of pre-test probability (PTP) is an important gatekeeper when selecting patients for diagnostic testing for coronary artery disease (CAD). The 2019 European Society of Cardiology (ESC) guidelines recommend upgrading PTP based on clinical risk factors but provide no estimates of how these affect PTP. We aimed to validate two published PTP models in a contemporary low-CAD-prevalence cohort and compare with the ESC 2019 PTP. Previously published basic and clinical prediction models and the ESC 2019 PTP were validated in 42328 patients (54% women) ≥30 years old without previous CAD referred for cardiac computed tomography angiography in a region of Denmark from 2008 to 2017. Obstructive CAD prevalence was 8.8%. The ESC 2019 PTP and basic model included angina symptoms, sex, and age, while the clinical model added diabetes mellitus family history of CAD, and dyslipidaemia. Discrimination was good for all three models [area under the receiver operating curve (AUC) 0.76, 95% confidence interval (CI) (0.75-0.77), 0.74 (0.73-0.75), and 0.76 (0.75-0.76), respectively]. Using the clinically relevant low predicted probability≤5% of CAD cut-off, the clinical and basic models were well calibrated, whereas the ESC 2019 PTP overestimated CAD prevalence. At a cut-off of≤5%, the clinical model ruled out 36.2% more patients than the ESC 2019 PTP, n=23592 (55.7%) vs. n=8245 (19.5%), while missing 824 (22.2%) vs. 132 (3.6%) cases of obstructive CAD. A prediction model for CAD including cardiovascular risk factors was successfully validated. Implementation of this model would reduce the need for diagnostic testing and serve as gatekeeper if accepting a watchful waiting strategy for one-fifth of the patients.

Association of LDL:HDL ratio with prediabetes risk: a longitudinal observational study based on Chinese adults

BackgroundLow-density lipoprotein:high-density lipoprotein cholesterol ratio (LDL:HDL ratio) has a good performance in identifying diabetes mellitus (DM) and insulin resistance. However, it is not yet clear whether the LDL:HDL ratio is associated with a high-risk state of prediabetes.MethodsThis cohort study retrospectively analyzed the data of 100,309 Chinese adults with normoglycemia at baseline. The outcome event of interest was new-onset prediabetes. Using multivariate Cox regression and smoothing splines to assess the association of LDL:HDL ratio with prediabetes.ResultsDuring an average observation period of 37.4 months, 12,352 (12.31%) subjects were newly diagnosed with prediabetes. After adequate adjustment for important risk factors, the LDL:HDL ratio was positively correlated with the prediabetes risk, and the sensitivity analysis further suggested the robustness of the results. Additionally, in stratified analysis, we discovered significant interactions between LDL:HDL ratio and family history of DM, sex, body mass index and age (all P-interaction < 0.05); among them, the LDL:HDL ratio-related prediabetes risk decreased with the growth of body mass index and age, and increased significantly in women and people with a family history of DM.ConclusionsThe increased LDL:HDL ratio in the Chinese population indicates an increased risk of developing prediabetes, especially in women, those with a family history of DM, younger adults, and non-obese individuals.

Undiagnosed Diabetes Mellitus and Its Predictors Among Socially Marginalized Menja Communities in Southwest Ethiopia.

Background:Diabetes mellitus (DM) is a metabolic disorder marked by a persistently high blood glucose level over a prolonged period of time linked to either defects in insulin secretion, insulin action, or both. It is responsible for 537 million adult cases and 6.7 million deaths in 2021. However, about half of the people with diabetes go undiagnosed. Low-income and socially disadvantaged communities are the most vulnerable to the disease. Despite this fact, nothing has been done among these communities, so this study aimed to assess the extent of undiagnosed diabetes and its predictors among the socially marginalized Menja communities of Southwest Ethiopia, 2021.MethodsA community-based cross-sectional study was done in the Menja communities from April 21/2021 to June 30/2021. The required sample size was calculated using the single population proportion formula and systematic sampling techniques were employed to select the households. Data were collected through face-to-face interviews utilizing an interviewer-administered questionnaire to collect socio-demographic and behavioral characteristics, and anthropometric measurements were taken from each participant. Diabetes was defined as participants who had an FBG ≥ 126 mg/dL or RBG > 200 mg/dL. The multivariate logistic regression model was used to identify the predictors of diabetes; adjusted OR with a 95% CI was computed to assess the strength of associations.ResultsThe prevalence of undiagnosed DM among the socially marginalized Menja communities was 14.7% [95% CI: (11.1–18.3)], and sex-specific prevalence was 16.8%, and 11.1% for men and women respectively. Factors like alcohol consumption (AOR = 3.0, 95% CI 1.49 to 6.05), family history of DM 4.4 (AOR = 4.37, 95% CI 2.04 to 9.35), lower vegetable consumption 3.5 (1.19–10.31) (AOR = 3.5, 95% CI 1.19 to 10.31), and less physical exercise 3.3 (AOR = 3.34, 95% CI 1.61 to 6.90) were the independent predictors that increase the risk of diabetes among Menja communities.Conclusion and RecommendationsUndiagnosed diabetes was high as compared to other settings. Alcohol use, family history of diabetes, vegetable consumption, and physical exercise were predictors of diabetes. Hence, the study suggests frequent screening and treatment for high-risk groups. Minimizing alcohol drinking, frequent vegetable consumption, and physical exercises were recommended measures for the prevention and control of DM among the population of Ethiopia.

Association of Chronic Hepatitis C in Type 2 Diabetes Mellitus Patients in HMC Hospital Peshawar

Background: Hepatitis C virus is a blood-borne virus, and the vast majority of infections are the result of blood exposure from unsafe injection practices, poor health care, unscreened blood transfusions, injection drug use, and sexual practices that result in blood exposure. Chronic (CHC) infection is caused by the hepatitis C virus, and affected nearly 198 million people worldwide.&#x0D; Objective: To determine whether there was a link between hepatitis C virus infection and Diabetes Mellitus.&#x0D; Methodology: After receiving approval from the Hospital's Ethical Committee, this study was conducted over a one-year period (15-01-2018 to 16-01-2019) to investigate the relationship between HCV infection and D.M patient reports at the Diabetic Department of Diabetes and Endocrinology HMC Hospital in Peshawar. An enzyme-linked immunosorbent assay (ELISA) was used to measure anti-HCV antibody, as well as glycosylated hemoglobin (HbA1c) and fasting and random blood sugar levels. SPSS version 2.1 was used to analyses the data.&#x0D; Results: average of all patients ages (n=238) was 51.3811.35 years. Patients were split evenly between males and females, with 128 (52%) males and 110 (48%) females. In the group of type 2 D.M patients who tested positive for hepatitis C by ELISA, 44 (18.8%) had diabetes and 194 (82.2%) did not.&#x0D; Conclusion: Type 2 diabetes mellitus is more common Chronic Hepatitis C infection, increasing age, and a positive family history of Diabetes Mellitus according to the findings.

Incidence and Type II Diabetes Mellitus Risk Factors in Chronic Hepatitis Type C Affected Patients

Background: Type II diabetes is common among patients with chronic hepatitis C. The aim of the study is to govern the risk factors and prevalence of type II diabetes mellitus in chronic hepatitis C patients. Place and Duration: The study was held among 100 patients with chronic hepatitis C enrolled in the Liver Clinic of Bilawal Medical College Hospital Kotri one-year duration from January 2019 to January 2020. Methods: This is a cross-sectional study in which 100 patients with chronic hepatitis C virus who encountered the exclusion and inclusion principles were selected. Sex, height, age, smoking history, weight, body mass index and family history of diabetes were recorded, blood pressure was measured, and serum transaminase, total bilirubin, and albumin were tested. The analysis of the data was done using SPSS 23.0 statistics. The chi-square test was applied. Results: Hundred patients with chronic hepatitis C were selected for the study, 58(50%) were male and 42 (42%) were female (Fig. 1). While the number of diabetic patients among HCV patients was 24 (30%), 56 patients (70%) had chronic hepatitis C without diabetes. The study group age varies from 32 to 73 years, with the mean being 45.42 ± 9.15. 52 of the 100 patients were under 45 years of age (13 diabetic, 39 non-diabetic). In contrast, 48 patients were over 45 years of age (21 diabetics, 27 not). In the study group, family history with diabetes was positive in 35 (35%) of 100 patients, with diabetes and HCV in 21 and in 14 HCV without diabetes. The smoking history was positive in 33 (33%) of the 100 patients in the study group. The total number of subjects with less than 30 kg / m2 BMI were 62 (62%) and patients with a body mass index above 30 kg / m2 were 38. Conclusion: Aging, elevated BMI and diabetes mellitus family history are considered risk factors for developing type-II diabetes mellitus in chronic hepatitis C affected patients. Keywords: Type-II diabetes mellitus, Chronic Hepatitis C, Prevalence, risk factors.

Glycemic Status and Maternal Outcome among Women with Gestational Diabetes Mellitus

Abstract Introduction Maternal gestational diabetes mellitus (GDM) is one of the most common medical complications of pregnancy. GDM can adversely affect the short- and long-term health of mothers and their newborns. Aim This study aims to determine the association between maternal glycemic parameters with adverse maternal outcomes and baseline characteristics among women with GDM. Settings and Design Observational, prospective study. Materials and Methods Sixty-six pregnant women visiting outpatient department of a parent hospital who were diagnosed with GDM by an obstetrician were included in the study. Glycemic parameters were documented at the time of diagnosis (at 24 weeks of pregnancy). The maternal outcomes were studied after 24 hours of delivery. Results The mean age of the women was 29.05 ± 3.98 years and 36.4% of the women were primipara. Among 66 women, 47% had a family history of diabetes mellitus, and that 48.28% of them belonged to first-degree relatives. Body mass index indicated in prepregnancy status 39.4% of them were overweight. In glycemic parameters, 63.6 and 93.9% of the women had increased fasting blood sugar and postprandial blood sugar values, respectively. Hemoglobin A1c (HbA1c) was elevated in 45.5% of the women. The maternal outcome showed that 30.30% of the women underwent cesarean section, 18.18% had preeclampsia, and 15.16% of them had increased weight gain (&gt;11kg). There was a significant association between HbA1c and preeclampsia, p = 0.044. Conclusions The study reiterates that GDM has a poor maternal outcome, the mother is at risk to develop preeclampsia, increased maternal weight gain, and interference of cesarean section is more. Clinical Significance During the antenatal period among GDM mothers' glycemic control is very essential. Any variation in the glycemic parameters of the mother will lead to poor maternal outcomes.