Influence of Gender in Diabetes Mellitus and Its Complication

Impact of Gender on Chronic Complications in Participants With Type 2 Diabetes: Evidence From a Cross-Sectional Study

INTRODUCTION

This study aimed to assess and compare the prevalence of diabetes complications between men and women with Type 2 diabetes (T2D), as well as how gender relates to these complications.

METHODS

In this cross-sectional study, complications of diabetes, including coronary artery disease (CAD), retinopathy, neuropathy and diabetic kidney disease (DKD), were evaluated in 1867 participants with T2D. Additionally, baseline characteristics of the individuals, including anthropometric measurements, metabolic parameters and the use of dyslipidaemia drugs and antihyperglycaemic agents, were assessed. Gender differences in complications were examined using the chi-squared test. Multivariate logistic regression was employed to investigate the relationship between gender and T2D complications, with and without adjusting for the characteristics of the studied population.

RESULTS

In the studied population, 62.1% had at least one complication, and complications were 33.5% for DKD, 29.6% for CAD, 22.9% for neuropathy and 19.1% for retinopathy. The prevalence of CAD and neuropathy was higher in men. However, DKD and retinopathy were more prevalent among women. Odds ratios of experiencing any complication, CAD and retinopathy in men compared with women were 1.57 (95% CI: 1.27-2.03), 2.27 (95% CI: 1.72-2.99) and 0.72 (95% CI: 0.52-0.98), respectively, after adjusting for demographic factors, anthropometric measures, metabolic parameters and the consumption of dyslipidaemia drugs and antihyperglycaemic agents.

CONCLUSION

The prevalence of diabetes complications was significantly higher in men with diabetes, highlighting the need for better treatment adherence. CAD was associated with the male gender, whereas retinopathy was associated with the female gender. Men and women with diabetes should be monitored closely for CAD and retinopathy, respectively, regardless of their age, diabetes duration, anthropometric measures, laboratory findings and medications.

Gender differential in the pattern and severity of perceived symptoms among diabetes patients in India

Objective

To analyze the pattern of diabetes symptoms and to estimate the association between diabetes symptom severity (level of discomfort perceived by a patient due to diabetes symptoms) among different socio-demographic variables for both women and men.

Methods

Primary cross-sectional data of 583 diagnosed patients (51.3% and 48.7%, women and men, respectively) were collected from Punjab, India. Frequency percentage distribution and negative binomial regressions (NBR) were used for analysis.

Results

More men were asymptomatic compared to women. Both genders perceived increased hunger, thirst, and frequent urination in their early stages of diabetes. More women than men have experienced hormonal change as their first symptom with a higher severity level. NBR analyzed the association between discomfort perceived by both genders due to symptoms among different socio-demographic categories. Urban patients (incidence rate ratio-IRR: 0.90) were significantly (p = 0.056) less likely to perceive discomfort than their rural counterparts, whereas men (IRR: 0.93) reported more significant discomfort than women (IRR: 0.88) in the urban area. Literate patients [Up to class 10 (IRR: 0.87), (p = 0.013) and 11-above (IRR: 0.85), (p = 0.022) categories] were significantly less likely to perceive discomfort. In all education categories, women professed more significant discomfort than men.

Conclusion

Given the differences in symptoms between the two genders, this paper will help comprehend the disease development process and limit the possibilities of misdiagnosis. This study will assist in identifying the order of the symptoms among both genders.

Effectiveness of Oral Health Education and Interventions in Improving Oral Health Outcomes in Type II Diabetes Mellitus Patients: A Prospective Study

Introduction Diabetes mellitus (DM) is a group of metabolic diseases characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both. The study aimed to evaluate the effectiveness of oral health education and intervention in improving oral health outcomes in type 2 DM (T2DM) patients. Methods The present study was conducted in the Department of Oral Medicine and Radiology between February 2023 and August 2023 at Saveetha Dental College and Hospitals in Chennai, India. All of the patients in the study had T2DM with oral manifestations. This study enrolled 105 participants, of whom 63 were female and 42 were male. A standard pro forma was given to all the participants, and the findings were recorded. The pro forma comprises different oral manifestations, blood glucose levels, the Decayed, Missing, and Filled Teeth (DMFT) index, and Russell's periodontal index. The results were then statistically analyzed. Results This study of 105 individuals with T2DM (60% females and 40% males) revealed significant oral health challenges: 33% had periodontitis, 20% had gingivitis, 5% had lichenoid reactions, 23% had xerostomia, 11% had halitosis, and 8% had candidiasis, illustrating diabetes' impact on dental health. Following appropriate, tailor-made treatment for individual patients, such as scaling, root planning, oral hygiene education, pharmacotherapy, and post-intervention, the prevalence of complications notably decreased by 61%. A total of 7% of patients had gingivitis, 11% had periodontitis, 12% had xerostomia, 4% had halitosis, 2% had candidiasis, and 1% had lichenoid reactions, respectively. This highlights the importance of regular oral care positively impacting diabetes patients, with 61% experiencing improved oral health and 39% experiencing no improvement. Conclusion This study provides compelling evidence for the effectiveness of oral health education and interventions in improving oral health outcomes in T2DM patients. This approach offers a promising strategy for managing the oral health complications associated with diabetes and improving this population's overall health and well-being.

Assessing the reliability and validity of the Slovenian version of the Appraisal of Diabetes Scale (ADS-S) in type 2 diabetes patients

Managing type 2 diabetes (T2D) effectively is a considerable challenge. The Appraisal of Diabetes Scale (ADS) has proven valuable in understanding how individuals perceive and cope with their condition. This study aimed to evaluate the psychometric properties of the Slovenian version of ADS (ADS-S). We recruited a sample of 400 adult individuals with T2D from three primary healthcare centers in Slovenia, ensuring an average of 57 cases per individual item. The psychometric evaluation included internal consistency, test-retest reliability, construct validity, and discriminant validity. Confirmatory factor analysis (CFA) was additionally performed to evaluate the fit of one- and two-factor models. After excluding incomplete questionnaires, 389 individuals participated, averaging 72.0±7.5 years, with 196 men and 193 women. ADS-S exhibited acceptable internal consistency (Cronbach's α = 0.70) and strong test-retest reliability (interclass correlation = 0.88, p <0.001). Criterion validity was established through significant correlations between ADS-S score and EQ-5D utility score (r = -0.34, p <0.001), EQ-VAS score (r = -0.38, p <0.001), and HbA1c >7.5% (r = 0.22, p = 0.019). Discriminant validity assessment found no significant correlation between ADS-S score and age, but a significant correlation with female gender (r = 0.17, p = 0.001). CFA results supported a two-factor structure (psychological impact of diabetes and sense of self-control) over a one-factor structure, as indicated by model fit indicators. ADS-S stands as a valid and reliable tool for assessing psychological impact and self-control in Slovenian T2D patients. Future research should explore adding items for capturing secondary appraisal of diabetes and studying the influence of female gender on ADS scores.

Overview of Ethnobotanical-Pharmacological Studies Carried Out on Medicinal Plants from the Serra da Estrela Natural Park: Focus on Their Antidiabetic Potential

The Serra da Estrela Natural Park (NPSE) in Portugal stands out as a well-preserved region abundant in medicinal plants, particularly known for their pharmaceutical applications in diabetes prevention and treatment. This comprehensive review explores these plants' botanical diversity, traditional uses, pharmacological applications, and chemical composition. The NPSE boast a rich diversity with 138 medicinal plants across 55 families identified as traditionally and pharmacologically used against diabetes globally. Notably, the Asteraceae and Lamiaceae families are prevalent in antidiabetic applications. In vitro studies have revealed their significant inhibition of carbohydrate-metabolizing enzymes, and certain plant co-products regulate genes involved in carbohydrate metabolism and insulin secretion. In vivo trials have demonstrated antidiabetic effects, including glycaemia regulation, insulin secretion, antioxidant activity, and lipid profile modulation. Medicinal plants in NPSE exhibit various activities beyond antidiabetic, such as antioxidant, anti-inflammatory, antibacterial, anti-cancer, and more. Chemical analyses have identified over fifty compounds like phenolic acids, flavonoids, terpenoids, and polysaccharides responsible for their efficacy against diabetes. These findings underscore the potential of NPSE medicinal plants as antidiabetic candidates, urging further research to develop effective plant-based antidiabetic drugs, beverages, and supplements.

Association Between Dietary Habits and Type 2 Diabetes Mellitus in Thai Adults: A Case-Control Study

Background

The prevalence of T2DM is escalating in Thailand affecting over 10% of adults aged 20-79 years old. It is imperative to identify modifiable risk factors that can potentially help mitigate the risk of developing diabetes.

Objective

This study aimed to investigate the relationship between dietary habits and type 2 diabetes in Chiang Mai, Thailand.

Methods

This case-control study involved 300 individuals aged 25-74 years residing in Chiang Mai, Thailand including 150 newly diagnosed T2DM patients (cases) and 150 community residents without diabetes (controls). Dietary habits were assessed based on Food Frequency Questionnaire (FFQ). Socio-demographic characteristics and anthropometric information of the participants were collected. Data analysis was performed using the STATA-17.

Results

The case group participants were older and had a higher proportion of males compared to the control group. The case group exhibited a significantly higher consumption of meat, beans, nuts, soft drinks, and topping seasonings (p<0.001), conversely, a lower intake of vegetables (p<0.001), fruits (p=0.006), fish, rice (p<0.001), eggs (p=0.032), milk products, coffee, and tea (p<0.001) compared to the control group. Furthermore, the case group demonstrated a higher level of certain dietary practices such as a greater frequency of having meals with family, not removing visible fat from food (p<0.001), and eating snacks between meals compared to controls. Multiple logistic regression analysis showed that after adjusting for potential confounding factors not removing visible fat from food (aOR 5.61, 95% CI: 2.29-13.7, p<0.001) and using topping seasonings (aOR 3.52 95% CI: 1.69-7.32 p=0.001) were significantly associated with the risk of T2DM, whereas daily vegetable intake (aOR 0.32 95% CI: 0.15-0.68 p=0.003) was inversely associated with T2DM.

Conclusion

The study findings caution against the consumption of food rich in fat and using salty seasonings, while advocating for an increased intake of vegetables to prevent the prevalence of T2DM.

Synaptic mechanisms underlying the elevated sympathetic outflow in fructose-induced hypertension

Metabolic syndrome is associated with cardiovascular dysfunction, including elevated sympathetic outflow. However, the underlying brain mechanisms are unclear. The nucleus tractus solitarius (NTS) critically regulates autonomic reflexes related to cardiovascular function and contains neurons projecting to the caudal ventrolateral medulla (CVLM). Nitric oxide (NO) is a diffusible free-radical messenger in the vascular, immune, and nervous systems. In this study, we determine if NO in the NTS is involved in the synaptic plasticity underlying the elevated sympathetic outflow in fructose-induced hypertension. We retrogradely labeled CVLM-projecting NTS neurons through the injection of FluoSpheres into the CVLM in a fructose-fed rat model to determine the cellular mechanism involved in increased sympathetic outflow. Fructose feeding increased the blood pressure and glucose levels, which represent metabolic syndrome. We found that fructose feeding reduces the NO precursor L-arginine-induced increase in the firing activity of CVLM-projecting NTS neurons. Furthermore, fructose feeding reduces the L-arginine-induced increase in presynaptic spontaneous glutamatergic synaptic inputs to NTS neurons, while NO donor DEA/NO produces an increase in glutamatergic synaptic inputs in fructose-fed rats similar to that in vehicle-treated rats. In addition, fructose feeding reduces the NO-induced depressor response and sympathoinhibition. These data suggested that fructose feeding reduced NO production and, thus, the subsequent NO-induced glutamate releases in the NTS and depressor response. The findings of this study provide new insights into the central mechanisms involved in the neural control of cardiovascular and autonomic functions in the NTS in metabolic syndrome.

Assessment of liver enzymes as diagnostic biomarkers in type 2 diabetes mellitus: a cross-sectional study in Zakho, Iraq

BACKGROUND

This study aimed to identify the prevalence and factors associated with abnormal liver enzyme profiles in individuals with type 2 diabetes (T2D) in Zakho, to assess the association between demographic characteristics, clinical parameters, kidney function tests, lipid profiles, glucose levels, and T2D, and to identify resident risk factors.

RESEARCH DESIGN AND METHODS

A cross-sectional analysis of T2D patients admitted to Zakho General Hospital was conducted utilizing hospital records. The primary endpoint of interest was attaining HbA1C levels ≥ 6.5%. Analytical methodologies encompassed linear and multivariate logistic regression analyses, with due consideration of the association between diverse parameters and glycemic alterations. Further, the predictive value of biomarkers was evaluated through Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) analyses, complemented by Spearman correlation analysis to explore relationships among laboratory parameters.

RESULTS

The study found that 89.4% of participants had HbA1C levels above 6.5%, with a preference for T2D among older individuals (mean age: 52.93-49.89 respectively) and females. Age, glucose levels, and liver enzymes positively correlated with HbA1C.

CONCLUSIONS

The study emphasizes the diagnostic importance of liver enzymes in individuals with type 2 diabetes, suggesting that these biomarkers could be valuable indicators of disease severity and progression.

Identifying diabetes risks among Indonesians: A cross-sectional study in a community setting

Background

There is an upward surge in diabetes patients worldwide, including in Indonesia, annually. Diabetes can lead to new diseases that burden patients' lives further. Nurses can reduce this problem by identifying people at risk of developing diabetes and educating them on how to prevent diabetes.

Objective

The study aimed to determine the risk of diabetes in the Indonesian population.

Methods

The descriptive research involved a sample of 1216 Indonesians living in North Sumatra Province. Participants were nondiabetic individuals selected using the convenience method from May to October 2020. This study utilized the Indonesian version of the Finnish Diabetes Risk Score (FINDRISC) tool and employed various statistical analyses, including frequencies, percentages, chi-square test, and Fisher's exact test.

Results

Of the total samples, 372 were males (30.6%), and 844 were females (69.4%). The risk of developing diabetes was classified as low (57.1%), slightly elevated (36.4%), moderate (5.3%), high (1.0%), and very high (0.2%). Only one of the eight risk factors that differed significantly between men and women was a history of elevated blood glucose levels, with a p-value of 0.02.

Conclusion

The study identified a portrait of the number and percentage of diabetes risk factors in a community setting in Indonesia. Nurses must provide education on diabetes prevention to not only members of the local community at the research site but also the general public, nationally and globally.

Effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of adult clients with diabetes

BACKGROUND

In recent years, there has been growing interest in the use of Digital Based Nursing Intervention to support diabetes management. This study aimed to evaluate the effect of digital based nursing intervention on knowledge of self-care behaviors and self-efficacy of clients with diabetes.

METHODS

Employing a quasi-experimental design, a sample of 120 adult participants diagnosed with type 2 diabetes, aged more than 18 years with focus on older adults was drawn from outpatient clinics at Cairo University Hospital. The intervention was approved and registered by the ethical committee of the faculty of nursing with IRB number: RHDIRB2019041701. The intervention group (n = 60) received a digital-based nursing intervention, while the control group (n = 60) received standard care. Data were collected using adopted standardized tools including the Diabetes Knowledge Test, the Diabetes Self-Efficacy Scale, and the Summary of Diabetes Self-Care Activities. Demographic characteristics were analyzed, and pre- and post-intervention scores were compared using paired t-tests were statistical methods.

RESULTS

The digital-based nursing intervention resulted in significant enhancements in participants with diabetes knowledge and self-efficacy levels. Moreover, the intervention group demonstrated marked improvements in various self-care behaviors encompassing diet, exercise, medication adherence, blood glucose testing, and foot care. While the control group also exhibited some progress, the effects were less pronounced. Regression analyses highlighted age as a consistent factor associated with knowledge, self-efficacy, and specific self-care behaviors.

CONCLUSION

This study underscores the potential of tailored digital nursing interventions to complement traditional care approaches, empowering patients with type 2 diabetes to actively engage in self-management. The findings suggest that digital-based nursing interventions hold promise for enhancing patient knowledge, confidence, and proactive health behaviors. Nevertheless, limitations, including the relatively short intervention duration and a sample from a single clinic, warrant consideration. Future research should address these limitations to bolster the validity and applicability of the study's conclusions.

Design and clinical application of a risk prediction model for diabetic foot

OBJECTIVE

To construct and evaluate a nomogram prediction model for the risk of diabetic foot in patients with type 2 diabetes based on their clinical data, and to assist clinical healthcare professionals in identifying high-risk factors and developing targeted intervention measures.

METHODS

We retrospectively collected clinical data from 478 hospitalized patients with type 2 diabetes at the First Affiliated Hospital of Shantou University Medical College from January 2019 to December 2021. The patients were divided into a diabetic foot group (n=312) and a non-diabetic foot group (n=166) based on whether they had diabetic foot. The baseline data of both groups were collected. Univariate and multivariate analyses as well as logistic regression analysis were conducted to explore the risk factors for diabetic foot. A nomogram prediction model was established using the package "rms" version 4.3. The model was internally validated using the area under the receiver operating characteristic curve (AUC). Additionally, the decision curve analysis (DCA) was performed to evaluate the performance of the nomogram model.

RESULTS

The results from the logistic regression analysis revealed that being male, smoking, duration of diabetes, glycated hemoglobin, hyperlipidemia, and atherosclerosis were influencing factors for diabetic foot (all P<0.05). The AUC of the model in predicting diabetic foot was 0.804, with a sensitivity of 75.3% and specificity of 74.4%. Harrell's C-index of the nomogram prediction model for diabetic foot was 0.804 (95% CI: 0.762-0.844), with a threshold value of >0.675. The DCA findings demonstrated that the nomogram model provided a net clinical benefit.

CONCLUSION

The nomogram prediction model constructed in this study showed good predictive performance and can provide a basis for clinical workers to prevent and intervene in diabetic foot, thereby improving the overall diagnosis and treatment.

Normal triglyceride concentration and the risk of diabetes mellitus type 2 in the general population of China

Introduction

Hypertriglyceridemia and its derivatives are independent predictors of diabetes mellitus type 2 (T2DM). However, the relationship between triglyceride concentrations within the normal range and the incidence of T2DM remains to be clarified. This study investigated the potential relationship between variations in plasma triglyceride levels within the normal range and T2DM onset using data from a longitudinal study of health and retirement in China.

Methods

Between, 2010 and, 2016, we conducted a retrospective cohort study involving 36,441 individuals with normal triglyceride levels. Using a Cox proportional hazards regression model, we examined the connection between normal triglyceride levels and T2DM incidence. We employed this method with smooth curve fitting to investigate potential nonlinear associations. Subgroup analyses were performed based on age, sex, body mass index, smoking and drinking status, hypertension, and family history of diabetes.

Results

A significant linear relationship was observed between normal triglyceride levels and the incidence of T2DM. The hazard ratio for T2DM in individuals with normal triglycerides was 1.81 (95% confidence interval: 1.39, 2.36); P<0.001). Kaplan-Meier analysis further demonstrated a prospective association between the higher tertiles of normal triglyceride levels and the development of T2DM (P<0.001). Subgroup analysis revealed a stronger positive correlation between normal triglyceride levels in females and the risk of T2DM.

Discussion

An increase in triglyceride levels within the normal range is related to a continuous increase in the incidence of T2DM in the general population. These findings show that almost everyone can benefit from reducing triglyceride levels, further emphasizing the importance of lifestyle changes in the general population.

Does Pre-existing Diabetes Correlate with Long COVID-19 in Europe? Evidence from the Analysis of the Survey of Health, Ageing and Retirement in Europe's Corona Surveys

Background

A substantial proportion of those infected with COVID-19 are presenting with persistent symptoms, referred to as long COVID-19. Emerging evidence suggests that the presence of pre-existing chronic conditions, such as diabetes, may increase the risk of long COVID-19.

Objectives

To investigate whether having pre-existing diabetes increases the risk of developing long COVID-19 in the population of middle-aged and older adults (≥50 years old) in Europe, while assessing if this relationship can be accounted for or is modified by the known long COVID-19 and diabetes risk factors (age, sex, hospitalization, pre-existing hypertension, and weight status).

Methods

A population-based longitudinal prospective study involving a sample of respondents aged 50 years and older (n = 4,004) with probable or confirmed COVID-19 infection from 27 countries that participated in both waves 7 and 8 of the Survey of Health, Ageing and Retirement in Europe and its 2020 and 2021 Corona Surveys. Logistic regression modeling was performed.

Results

Overall, 66.8% of the respondents affected by COVID-19 infection reported at least one long COVID-19 symptom; 55.2% were female, and the average age was 64.6 years; 13.2% had pre-existing diabetes. Respondents with pre-existing diabetes had significantly higher odds of developing long COVID-19, compared to those without diabetes (OR = 1.37; 95% CI = 1.12, 1.68). This relationship remained significant (OR = 2.00; 98% CI = 0.25, 1.14) after adjusting for sex (OR = 1.64 for females; 95% CI = 1.43, 1.88), hospitalization for COVID-19 illness (OR = 3.19; 95% CI = 2.41, 4.23), pre-existing hypertension (OR = 1.17; 95% CI = 1.01, 1.36), and overweight (OR = 1.31; 95% CI = 1.11, 1.56) and obese (OR = 1.77; 95% CI = 1.44, 2.19) weight status. The effect of pre-existing diabetes on the risk of long COVID-19 is moderated by age; it was highest at the age of 50 (OR = 2.00; 95% CI = 1.28, 3.14), and then, it declined with age.

Conclusions

There is a relationship between pre-existing diabetes and long COVID-19, even after controlling for literature-based confounding factors, with age having a moderating effect on this relationship.

Effects of mouthwash on periodontal pathogens and glycemic control in patients with type 2 diabetes mellitus

Periodontitis is known to be associated with type 2 diabetes mellitus (T2DM), and gargling with mouthwash is known to reduce the incidence of periodontitis by inhibiting periodontal pathogens. However, the effects of mouthwash on oral and systemic conditions in patients with T2DM remain unknown. In this study, we investigated the effects of gargling with mouthwash on the number of red complex species, including Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia, and HbA1c levels in patients with T2DM. Patients were instructed to gargle with water for 6 months, followed by gargling with mouthwash containing chlorhexidine gluconate for the subsequent 6 months. At each clinic visit, saliva was collected and bacterial DNA was extracted to detect red complex species using the polymerase chain reaction technique. The HbA1c level was determined using a blood sample. The number of red complex species significantly decreased in younger or male patients who gargled with mouthwash. Furthermore, HbA1c levels significantly decreased in younger patients or patients with higher HbA1c levels who gargled with mouthwash. These results suggest that gargling with mouthwash reduces the number of red complex species and improves the hyperglycemic status in patients with T2DM, especially younger patients.

Diabetes mellitus and associated factors among HIV-positive patients at primary health care facilities in Harare, Zimbabwe: a descriptive cross-sectional study

BACKGROUND

Highly active antiretroviral therapy (HAART) has improved the life expectancy of people living with HIV (PLWH) and has increased the risk of chronic non-communicable diseases. Comorbid HIV and diabetes mellitus (DM) significantly increase cardiovascular disease and mortality risk. This study aimed to determine the prevalence of type 2 diabetes mellitus among HIV-positive patients receiving HAART in Zimbabwe and its associated risk factors.

METHODS

This cross-sectional study was conducted at eight primary healthcare facilities in Harare, Zimbabwe, between January 2022 and March 2023. Non-probability convenience sampling was used to recruit adult HIV-positive patients undergoing HAART attending the facilities. Data were captured on clinical history and socio-demographic and behavioral characteristics, and analyzed using descriptive statistics to determine DM prevalence rates. Additionally, bivariate and multivariate logistic regression models were employed to examine factors associated with HIV and DM comorbidities.

RESULTS

A total of 450 participants were included in this study, of which 57.6% (n = 259) were female. The majority were married (73.8%) and older than 35 years (80.2%). Most participants had completed high school (87.6%) and 68.9% were employed either formally or self-employed. The prevalence of diabetes mellitus (DM) was 14.9%. HIV/DM comorbidity was more prevalent in patients who were female, self-employed, and smoked (p < 0.05). Multivariate logistic regression analysis revealed that the factors associated with DM-HIV comorbidity were gender, age, education, marital status, employment status, smoking, physical activities, duration of HAART, and diet. Age, level of education, marital status, and occupation were not associated with HIV-DM comorbidity. Obesity (body mass index > 30 kg/m2), smoking, and alcohol consumption were associated with an increased risk of DM. Regular physical activity is associated with a reduced risk of DM.

CONCLUSION

A substantial burden of DM was found in PLWH. The intersectoral integration approach is advocated, and active screening for DM is recommended. Gender-specific interventions are necessary to target diseases and health behaviors that differ between men and women. These interventions should be customized to the specific diseases and behaviors of each group.

Association of T-wave electrocardiogram changes and type 2 diabetes: a cross-sectional sub-analysis of the MASHAD cohort population using the Minnesota coding system

BACKGROUND

Type 2 Diabetes Mellitus (T2DM) has become a major health concern with an increasing prevalence and is now one of the leading attributable causes of death globally. T2DM and cardiovascular disease are strongly associated and T2DM is an important independent risk factor for ischemic heart disease. T-wave abnormalities (TWA) on electrocardiogram (ECG) can indicate several pathologies including ischemia. In this study, we aimed to investigate the association between T2DM and T-wave changes using the Minnesota coding system.

METHODS

A cross-sectional study was conducted on the MASHAD cohort study population. All participants of the cohort population were enrolled in the study. 12-lead ECG and Minnesota coding system (codes 5-1 to 5-4) were utilized for T-wave observation and interpretation. Regression models were used for the final evaluation with a level of significance being considered at p < 0.05.

RESULTS

A total of 9035 participants aged 35-65 years old were included in the study, of whom 1273 were diabetic. The prevalence of code 5-2, 5-3, major and minor TWA were significantly higher in diabetics (p < 0.05). However, following adjustment for age, gender, and hypertension, the presence of TWAs was not significantly associated with T2DM (p > 0.05). Hypertension, age, and body mass index were significantly associated with T2DM (p < 0.05).

CONCLUSIONS

Although some T-wave abnormalities were more frequent in diabetics, they were not statistically associated with the presence of T2DM in our study.

An Overview of Diabetic Cardiomyopathy

Diabetic cardiomyopathy (DCM) is a myocardial disorder that is characterised by structural and functional abnormalities of the heart muscle in the absence of hypertension, valvular heart disease, congenital heart defects, or coronary artery disease (CAD). After witnessing a particular form of cardiomyopathy in diabetic individuals, Rubler et al. came up with the moniker diabetic cardiomyopathy in 1972. Four stages of DCM are documented, and the American College of Cardiology/American Heart Association Stage and New York Heart Association Class for HF have some overlap. Diabetes is linked to several distinct forms of heart failure. Around 40% of people with heart failure with preserved ejection fraction (HFpEF) have diabetes, which is thought to be closely associated with the pathophysiology of HFpEF. Diabetes and HF are uniquely associated in a bidirectional manner. When compared to the general population without diabetes, those with diabetes have a risk of heart failure that is up to four times higher. A biomarker is a trait that is reliably measured and assessed as a predictor of healthy biological activities, pathological processes, or pharmacologic responses to a clinical treatment. Several biomarker values have been discovered to be greater in patients with diabetes than in control subjects among those who have recently developed heart failure. Myocardial fibrosis and hypertrophy are the primary characteristics of DCM, and structural alterations in the diabetic myocardium are often examined by non-invasive, reliable, and reproducible procedures. An invasive method called endomyocardial biopsy (EMB) is most often used to diagnose many cardiac illnesses.

Observational, Multicenter, Retrospective, Study on the Usage Patterns of the Fixed Dose Combination of Glimepiride, Metformin, and Voglibose in Type 2 Diabetes Management

Objective This study aimed to evaluate and analyze the characteristics of Indian patients with type 2 diabetes mellitus (T2DM) in relation to the usage patterns of a fixed-dose combination (FDC) of glimepiride, metformin, and voglibose. Methods This retrospective, observational, multicentric analysis was conducted from March 2021 to September 2022. It involved adult patients (aged ≥18 years) with T2DM from 424 sites including a combination of hospitals and privately owned clinics across India to ensure comprehensive representation of the patient population The study included patients who had been treated with FDC of glimepiride, metformin, and voglibose of varying strengths for T2DM management. Data were collected through a pre-designed electronic form, which captured demographic details, medical history, T2DM history, and drug usage patterns from medical records. The collected data were then analyzed using descriptive statistical methods. Results This analysis encompassed a final cohort of 8,587 patients out of which 5,840 were males with a mean age of 54.91 years and a BMI of 28.41 kg/m2. Newly diagnosed T2DM cases were 35.23%, 54.79% had a family history, and 61.21% had risk factors such as smoking, sedentary lifestyle, and others. Dyslipidemia (13.94%) and neuropathy (14.48%) were common comorbidities. The most prescribed FDC was 1 mg glimepiride, 500 mg metformin, 0.2 mg voglibose (40.14%), the most preferred dosing frequency was once daily (52.92%) and the most common duration of treatment was one to three months (48.78%). Conclusion In routine Indian clinical practice, the triple drug FDC of 1 mg glimepiride, 500 mg metformin, and 0.2 mg voglibose, taken once daily for one to three months, was the most common treatment for both newly diagnosed and long-standing diabetes patients.

Fibrinogen-to-Albumin Ratio and Glucose Metabolic States in Patients With Coronary Heart Disease

This study investigated the relationship between fibrinogen-to-albumin ratio (FAR) and glucose metabolic state in patients with coronary heart disease (CHD). A total of 52,062 patients were enrolled in this study. Patients were classified according to FAR tertiles (T1: FAR < 0.0073; T2: 0.0073 ≤ FAR ≤ 0.0886; T3: FAR ≥ 0.0887). Patients were also classified into the normal glucose regulation (NGR) and elevated blood glucose (EBG) groups. The relationship between FAR and EBG was analyzed using logistic regression, and the association was evaluated according to sex and age. Among the participants, 32,471 (62.4%) had EBG, which was positively associated with FAR (odds ratio [OR], 1.19; 95% confidence interval [CI] 1.15-1.23). The OR of the FAR for EBG in males was higher than that in females (1.25; 95% CI 1.18-1.33 vs 1.15; 95% CI 1.10-1.20). Moreover, the OR of FAR for EBG was greater in patients aged 60 or younger (OR: 1.25; 95% CI 1.18-1.33) than in the elderly patients (over 60 years of age) (OR: 1.15; 95% CI 1.10-1.20). The results indicated a significant relationship between FAR and EBG and this association was higher in males and middle-aged patients.

Impact of Social Vulnerability on Diabetes-Related Cardiovascular Mortality in the United States

Background Social vulnerability impacts the natural history of diabetes as well as cardiovascular disease (CVD). However, there are little data regarding the social vulnerability association with diabetes-related CVD mortality. Methods and Results County-level mortality data (where CVD was the underlying cause of death with diabetes among the multiple causes) extracted from the Centers for Disease Control multiple cause of death (2015-2019) and the 2018 Social Vulnerability Index databases were aggregated into quartiles based on their Social Vulnerability Index ranking from the least (first quartile) to the most vulnerable (fourth quartile). Stratified by demographic groups, the data were analyzed for overall CVD, as well as for ischemic heart disease, hypertensive disease, heart failure, and cerebrovascular disease. In the 5-year study period, 387 139 crude diabetes-related cardiovascular mortality records were identified. The age-adjusted mortality rate for CVD was higher in the fourth quartile compared with the first quartile (relative risk [RR], 1.66 [95% CI, 1.64-1.67]) with an estimated 39 328 excess deaths. Among the youngest age group (<55 years), those with the highest social vulnerability had 2 to 4 times the rate of cardiovascular mortality compared with the first quartile: ischemic heart disease (RR, 2.07 [95% CI, 1.97-2.17]; heart failure (RR, 3.03 [95% CI, 2.62-3.52]); hypertensive disease (RR, 3.79 [95% CI, 3.45-4.17]; and cerebrovascular disease (RR, 4.39 [95% CI, 3.75-5.13]). Conclusions Counties with greater social vulnerability had higher diabetes-related CVD mortality, especially among younger adults. Targeted health policies that are designed to reduce these disparities are warranted.

[Vulnerability and social determinants in diabetes]

Social determinants of health significantly influence the development and progression of chronic diseases such as type2 diabetes (T2DM). This article examines key social determinants including education, economic stability, neighborhood, and factors such as ethnicity, race, or religion that impact individuals with T2DM. The role of gender as a social determinant is also explored, emphasizing the need for gender-specific considerations in T2DM management and research. Additionally, the impact of poverty on health outcomes is analyzed, highlighting the bidirectional relationship between poverty and disease. Comprehensive measures addressing these determinants are crucial to improving the health and well-being of individuals with T2DM. Addressing social inequalities through targeted interventions can contribute to better treatment outcomes and equitable healthcare.

Gender Differences in Insulin Resistance: New Knowledge and Perspectives

Insulin resistance is the main mechanism in a whole series of pathological conditions, which are not only of metabolic interest but also of a systemic type. This phenomenon means that the body's cells become less sensitive to the hormone insulin, leading to higher levels of insulin in the blood. Insulin resistance is a phenomenon that can be found in both men and women and in particular, in the latter, it is found mainly after menopause. Premenopause, hormonal fluctuations during the menstrual cycle, and the presence of estrogen can affect insulin sensitivity. Androgens, such as testosterone, are typically higher in men and can contribute to insulin resistance. In both sexes, different human body types affect the distribution and location of body fat, also influencing the development of diabetes and cardiovascular disease. Insulin resistance is also associated with some neurological and neurogenerative disorders, polycystic ovary syndrome, atherosclerosis, and some of the main neoplastic pathologies. A healthy lifestyle, including regular physical activity, a balanced diet, and self-maintenance, can help to prevent the onset of insulin resistance, regardless of gender, although the different habits between men and women greatly affect the implementation of preventative guidelines that help in fighting the manifestations of this metabolic disorder. This review may help to shed light on gender differences in metabolic diseases by placing a necessary focus on personalized medical management and by inspiring differentiated therapeutic approaches.

Presence of Type 1 Diabetes-Related Autoantibodies in Pediatric Population in Bosnia and Herzegovina

Background

Diabetes mellitus type 1 (T1D) is an autoimmune organ-specific disease with a wide range of clinical manifestations, in which the β cells of the pancreatic islets of Langerhans are destroyed by the action of autoreactive T lymphocytes and the formation of autoantibodies against β cell components. Among used serological markers of T1D, anti-glutamic acid decarboxylase antibodies (GAD65), anti-tyrosine phosphatase antibodies (IA2), islet cell antibodies (ICA), insulin autoantibodies (IAA) and anti-zinc transporter antibodies (Zn-T8) are of great significance.

Objective

This study aimed to analyze presence of type 1 diabetes-related autoantibodies (GAD65, IA2, ICA, IAA and Zn-T8 and effects of age and gender on their occurrence in pediatric population.

Methods

Sixty seven (N=67) T1D pediatric patients were included in the study. The levels of immunological parameters such as anti-glutamic acid decarboxylase antibodies (GAD-Ab), anti-tyrosine phosphatase antibodies (IA2-Ab), islet cell antibodies (ICA) and insulin autoantibodies (IAA) were determined by chemiluminescence immunoassay (CLIA) and anti-zinc transporter antibodies (Zn-T8-Ab) were determined by enzyme-linked immunosorbent assay (ELISA). For statistical analysis, we used SPSS statistical program.

Results

Our study revealed that among 67 patients with T1D (40 male and 27 female), with an average age of 12,1±3,9 years. The average age of diabetes diagnosis was 6,15±3,29 years. 24 (35,8%) cases were positive for GAD65, 15 (22,4%) for ICA, 34 (50,7%) for IAA, 16 (23,9%) for IA2 and 36 (53,7%) for Zn-T8. The largest number of patients had single positive antibody, the most dominated among them was IAA dominated (40,9%), then Zn-T8 (31,8%). According to Spearman correlation test Zn-transporter shows a significant positive correlation with age of the participants (p=0.027) and disease duration (p=0.006). Anti IA2 shows significant negative correlation with HbA1c (p=0.043). Zn-transporter is associated with patients age and duration of T1D.

Conclusion

In most cases, patients with T1D are positive for at least one of the specific autoantibodies. Zn-T8 is the most frequently detected and is an important serological marker of type 1 diabetes mellitus. Gender effects on autoantibodies seems to be insignificant, while age alongside disease duration shows important effects.

Vitamin D: Can Gender Medicine Have a Role?

This narrative review aims to shed light on the role of gender differences, on the biological and molecular functions in the main pathological mechanisms that recognize the role of vitamin D. Vitamin D deficiency is widespread worldwide, but it is still very controversial whether the amount of vitamin D taken daily is actually the only problem related to its biological functions. Currently, the plasma concentration of 25-hydroxyvitamin D represents the only indicator of the circulating blood quota. The concept is that the biological function of vitamin D is not only linked to its circulating levels, but it is hypothesized that its biological functions depend, above all, on its total bioavailability. In particular, vitamin D circulates for the most part linked to albumin and vitamin D binding protein (DBP), which depend on various pathological conditions and physiologically, above all, the function of the latter is regulated by estrogens, glucocorticoids, and inflammatory cytokines. During her life, women undergo various changes in the hormonal and sexual sphere concerning menarche, possible pregnancies, and breastfeeding but also the use of contraceptives and, finally, the transition from the period of fertility to menopause. Each of these phases presents specific needs and, consequently, sometimes also specific criticalities. Studies on young women have shown that vitamin D deficiency is present in 58 to 91% of cases. Obesity, metabolic disorders, and variation in estrogen contraction may affect vitamin D deficiency due to the decreased bioavailability from dietary sources due to deposition in body fat compartments.

Overall Clinical Features of Type 2 Diabetes Mellitus With Respect to Gender

Introduction Since patients with type 2 diabetes are frequently misdiagnosed, provided inappropriate management, or poorly controlled, it is important to comprehend the wide range of clinical signs and symptoms associated with diabetes. Therefore, this study evaluated the overall clinical manifestations of patients with type 2 diabetes patients with respect to gender. Methods This was a multicenter, cross-sectional study that was conducted at various hospitals, using a non-probability sampling technique. The duration of the study was about six months, from January 1, 2022 to June 30, 2022. The study included 590 type 2 diabetes patients, ranging in age from 35 to 70 years. Age, gender, socioeconomic status, health status, co-morbidities, and diabetes symptoms were documented. A chi-square was applied to determine the association between overall symptoms associated with type 2 diabetes and gender. An independent t-test was applied to determine the significance level between means of demographic parameters. Results The study findings showed that out of 590 patients with diabetes, 310 (52.5%) were males and 280 (47.5%) were females. The male and female mean ages were 57.46±14.93 and 50.38±14.85 years, respectively, with a statistically significant gender difference (p<0.001). The prevalence of renal manifestation in type 2 patients with diabetes revealed a significant relationship (p<0.05) for both genders. The prevalence of ocular manifestations revealed a significant relationship with both genders (p<0.05) in terms of distortion and blurred vision. The prevalence of ocular manifestations revealed a significant relationship observed with both genders (p<0.05) in terms of shortness of breath, dyspnea severity, and severity of chest pain. Conclusion This study concluded that women with type 2 diabetes mellitus have a significantly higher frequency of muscular pain, urinary symptoms, neurological symptoms, and dermatological manifestations than men. In contrast, respiratory symptoms were significantly more pronounced in males than in females. The presence of comorbidities such as dyslipidemia significantly increased the probability of developing type 2 diabetes in both genders.

Impact of Comorbidity of Bronchial Asthma and Type 2 Diabetes Mellitus on the Expression and Functional Activity of TLR2 and TLR4 Receptors

Epidemiological data indicate the active progression of various forms of diabetes mellitus in patients with bronchial asthma (BA), but little is known about the mechanisms of comorbidity formation. TLR2 and TLR4 are involved in the progression of asthma and type 2 diabetes mellitus (T2DM). These receptors are involved in the inflammatory response to Gram(+) and Gram(-) bacteria, respectively, so changes in their expression may affect the predisposition of patients to bacteremia. The aim of this study was to analyze the expression and functional activity of toll-like receptor 2 and 4 (TLR2 and TLR4) on peripheral blood cells of patients with BA, T2DM, and BA + T2DM. The expression of TLR2 and TLR4 was analyzed by flow cytometry. Whole blood samples were incubated with lipopolysaccharides from E. coli (LPS) and lipoteichoic acid from S. pyogenes (LTA). The concentration of cytokines and soluble blood proteins was determined by ELISA. Patients with comorbid diseases showed a statistically significant increase in TLR2 expression on both monocytes and neutrophils compared with healthy donors and patients with BA. We found increased expression of TLR4 on the surface of blood monocytes from patients compared to donors. The activation of blood cells of patients and donors with LPS or LTA led to an increase in the expression of "fast" pro-inflammatory cytokines (TNF-α, IL-6). In patients with BA, the average production of TNF-α in response to endotoxin was two times higher than in other studied groups. The reactions of blood cells in patients with T2DM and BA + T2DM did not differ significantly. The expression and functional activity of TLR2 and TLR4 on the blood cells of patients with comorbid disease were similar to those only in patients with T2DM. The greatest increase in the synthesis of the pro-inflammatory cytokine TNF-α in response to LPS and LTA was observed in patients with BA, which can lead to an inadequate response to bacteremia.

Addressing the Continuum of Dysglycaemia and Vascular Complications in Prediabetes and Type 2 Diabetes: Need for Early and Intensive Treatment

The onset of type 2 diabetes increases the risk of vascular complications and death. We know now that that this risk begins long before the diabetes diagnosis. Prediabetes and type 2 diabetes are not separate entities in practice and exist within a continuum of dysglycaemia and vascular risk that increases in severity over time. This excess risk requires early intervention with lifestyle therapy supported with pharmacologic antidiabetic therapy, intensified promptly where necessary throughout the duration of the diabetes continuum. Metformin is an evidence-based treatment for preventing prediabetes and improves cardiovascular outcomes in people with type 2 diabetes from diagnosis onwards. Newer agents (SGLT2 inhibitors and GLP-1 agonists) are appropriate for people presenting with type 2 diabetes and significant cardiovascular comorbidity. Additional therapies should be used without delay to achieve patients' individualised HbA1c goals and to minimise cardiovascular risk.