Introduction: Peripheral arterial disease (PAD) is a common macrovascular complication of type 2 diabetes mellitus (T2DM) and is associated with increased cardiovascular morbidity and mortality. The ankle-brachial index (ABI) is a simple, non-invasive method for detecting PAD; however, Doppler devices are not always available in primary care and resource-limited settings. This study aimed to determine the diagnostic accuracy of ABI measurement using a stethoscope compared with the Doppler method among adults with T2DM. Methods: A diagnostic accuracy study was conducted among 200 adults with T2DM recruited through convenience sampling from a private outpatient clinic in Iloilo City. ABI measurements were obtained using both the stethoscope and Doppler methods. An ABI of ≤0.90 was considered indicative of PAD. Diagnostic accuracy measures, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), overall accuracy, and agreement, were calculated. Results: The prevalence of PAD was 30.5% using the stethoscope method and 35.0% using the Doppler method. Compared with Doppler ABI, the stethoscope method demonstrated an overall accuracy of 94.5%, sensitivity of 85.7%, specificity of 99.2%, PPV of 98.4%, and NPV of 92.8%. Agreement between the two methods was excellent (Cohen’s κ = 0.88, p < 0.001). Conclusion Stethoscope-based ABI determination demonstrated high diagnostic accuracy and excellent agreement with Doppler ABI. Given its low cost, accessibility, and non-invasive nature, it may serve as a practical screening tool for PAD among adults with T2DM, particularly in primary care and resource-limited settings where Doppler devices are unavailable
Peripheral arterial disease ; Ankle-brachial index ; Stethoscope ; Doppler ultrasound ; Type 2 diabetes mellitus

Introduction: Prediabetes or intermediate hyperglycemia (IH) represents a critical phase in the trajectory toward type 2 diabetes mellitus (T2DM). Recent evidence from the International Diabetes Federation (IDF) suggests that 1-hour OGTT (1HOGTT) ≥8.6 mmol/L is a more sensitive biomarker for early beta-cell dysfunction, with enhanced detection of IH and future T2DM risk. Conventional screening using hemoglobin A1c (HbA1c) or 2-Hour OGTT (2HOGTT) may delay identification of prediabetes, narrowing the window for early intervention. This study evaluates 1HOGTT as a screening tool for prediabetes among Malaysians. Methodology: This cross-sectional study enrolled adults without prior T2DM or prediabetes. Participants underwent 1HOGTT, 2HOGTT, and HbA1c, classified as per the Malaysian Clinical Practice Guideline for T2DM (6th Edition) and IDF 2024 criteria. Agreement between tests was assessed using McNemar’s test and Cohen’s kappa. Diagnostic accuracy was evaluated via receiver operating characteristic (ROC) curve analysis. Cost-effectiveness was determined using reagent cost only. Results: The majority of the 310 participants were female (71.6%), Malay (87.1%), with average age of 40. The 1HOGTT identified prediabetes in 21.6% (n = 67) compared to 17.1% (n = 53) by HbA1c and 2.6% (n = 8) by 2HOGTT. McNemar’s test confirmed statistically significant discordance between 1HOGTT and 2HOGTT (chi-square = 53.397, p <0.001): 61 participants were prediabetic by 1HOGTT but normal by 2HOGTT, versus only 2 in the reverse direction. No significant discordance was found between 1HOGTT and HbA1c (chi-square = 2.817, p = 0.093). 1HOGTT demonstrated excellent discriminatory ability against 2HOGTT (AUC = 0.908; 95% CI: 0.837–0.978), significantly outperforming HbA1c (AUC = 0.664; CI: 0.462– 0.867; DeLong p = 0.012). In a population-level cost analysis, 1HOGTT achieved lowest cost per prediabetes case detected (RM 5.79) – approximately 8.3 times and 8.1 times more cost-effective than 2HOGTT (RM 48.08) and HbA1c (RM 46.78) respectively. Conclusion 1HOGTT identifies a significant proportion of individuals with prediabetes missed by 2HOGTT and HbA1c. Incorporating 1HOGTT enhances the detection of prediabetes, is cost-effective, and enables timely preventive measures in our population with high diabetes burden.
Glucose Tolerance Test ; Glycated Hemoglobin ; Prediabetic State

Introduction: Endothelial dysfunction (ED) is an early marker of atherosclerosis and plays a role in the pathophysiology of cardiovascular complications in type 2 diabetes mellitus (T2DM). Metabolic factors such as adiposity and insulin resistance contribute to early vascular dysfunction, particularly in patients with preserved kidney function. This study aimed to identify factors associated with ED in T2DM and early-stage chronic kidney disease (CKD) Methodology: This study was conducted at Universiti Teknologi MARA (UiTM), Sungai Buloh, and involved 107 adults with T2DM and estimated glomerular filtration rate ≥60 mL/min/1.73 m&sup2; (CKD stages 1–2). Endothelial function was assessed using ultrasound-based brachial artery flow-mediated dilation (FMD), with ≤7.1% defining ED. Clinical, anthropometric, metabolic, and renal parameters were compared between groups. Logistic regression analyses were performed to identify independent predictors, with p-values <0.05 considered statistically significant. Results: Of the cohort, 48.6% (n = 52) had abnormal FMD. They tended to have higher BMI (31.36 vs 28.38 kg/m&sup2;, p = 0.020), larger waist circumference (100.48 vs 94.53 cm, p = 0.026), and were more likely to be on insulin therapy (71.2 vs 49.1%, p = 0.020). The total daily insulin dose was higher in the abnormal FMD group (0.48 vs 0.35 U/kg), but this difference did not reach statistical significance (p = 0.140). There were no significant differences in hemoglobin A1c, blood pressure, or renal parameters. In multivariate analysis, BMI (adjusted OR 1.07, 95% CI 1.00–1.14, p = 0.037) and insulin therapy (adjusted OR 2.43, 95% CI 1.07–5.51, p = 0.034) remained independently associated. Conclusion In patients with T2DM and early CKD, higher BMI and insulin therapy are independently associated with ED. These findings highlight the role of obesity and insulin resistance in early vascular dysfunction, emphasizing the importance of weighttargeted strategies alongside glycemic control and further identifying high-risk individuals to reduce cardiovascular risk.
Diabetes Mellitus, Type 2 ;

Introduction: Multiple daily insulin injections, while effective for glycemic control, impose considerable costs on healthcare systems and carry inherent risks including hypoglycemia, weight gain, and poor treatment adherence. This study evaluates the glycemic effects of insulin regimen de-escalation from multiple daily injections in poorly controlled type 2 diabetes mellitus (T2DM) patients and explores the predictors of successful insulin de-escalation. Methodology: This is a multi-centred, prospective observational study of adult T2DM patients on multiple daily insulin injections with hemoglobin A1c (HbA1c) 7–12% who underwent de-escalation to one or two injections. Patients were reassessed at 3 months and 6 months. Primary endpoint was change in HbA1c from baseline. Secondary endpoints were changes in body weight, hypoglycemia frequency, treatment adherence and predictors of successful insulin de-escalation defined by at least a 0.3% reduction in HbA1c while on de-escalated regimen. Results: A total of 80 patients were included. HbA1c improved from 9.23 to 8.52% (p <0.001) with total daily insulin dose reduction from 0.81 + 0.35 units per kg to 0.46 + 0.24 units per kg. Symptomatic hypoglycemia decreased from 22.5 to 5.0%. Insulin adherence improved from 50.0 to 92.3%. Body weight decreased by 1.4 kg. Forty-nine patients (61.3%) were successfully de-intensified. Factors associated with successful insulin de-escalation included a high baseline HbA1c, high fasting blood glucose and higher estimated glomerular filtration rate, while increased age, disease duration and being Indian were associated with unsuccessful insulin de-escalation. After adjustment of the confounders, only HbA1c (OR 2.07, 95% CI 1.23–3.46, p = 0.006) and the status of being Indian (OR 0.21, 95% CI 0.05–0.94, p = 0.041) remained as significant positive and negative predictors respectively for successful insulin de-intensification. Conclusion Insulin regimen de-escalation, when combined with optimized oral glucose-lowering agents, improved glycemic control and treatment adherence while reducing hypoglycemia and body weight. These findings support insulin therapy deescalation as a safe, effective strategy for poorly controlled T2DM patients taking multiple daily insulin injections.
Diabetes Mellitus, Type 2 ; Prospective Studies ; Insulins

Introduction: Adequate knowledge of diabetes is essential for effective self-management and glycemic control. Emerging trends in digital platforms, video-based education offer a scalable and accessible approach to patient learning. However, evidence on the effectiveness of validated YouTube-based diabetes education in the Malaysian population remains limited. We aimed to evaluate the impact of a newly developed, tri-language YouTube diabetes education programme on clinical and knowledge outcomes. Methodology: In this multicentre study, patients with diabetes mellitus were randomly assigned to intervention (YouTube-based education) and control groups (standard care). The intervention consisted of newly developed and validated short educational videos on YouTube regarding diabetes, complications and lifestyle changes, delivered weekly via WhatsApp over 9 weeks. Videos were available in English, Malay and Chinese. The control group received standard care and counseling. Demographic data, hemoglobin A1c (HbA1c), and knowledge scores were collected at baseline and 3 months post-intervention. Results: A total of 109 patients (62.4% female; mean age 53.2 years; mean diabetes duration 16.3 years) were enrolled in the study, with similar baseline characteristics between groups. The intervention group demonstrated significantly greater improvement in glycemic control compared to the control group (HbA1c: −1.22 ± 1.36% vs. −0.24 ± 1.05%; p <0.001). While knowledge scores improved in both groups, the increase was significantly greater in the intervention group (2.66 vs. 0.80; p = 0.001). Notably, improvement in knowledge score predicted HbA1c reduction (b = 0.091; 95% CI 0.01, 0.172; p = 0.028). Conclusion The tri-language YouTube-based diabetes education programme significantly improved both glycemic control and patients’ knowledge. This accessible, scalable video-based education represents an effective strategy to enhance diabetes selfmanagement, offering flexible, on-demand learning for diverse populations.
Social Media ; Diabetes Mellitus

Introduction: Current education on diabetes self-management is time-consuming as it is conducted face-to-face. This study aimed to evaluate the effectiveness of diabetes education via mobile application on hemoglobin A1c (HbA1c). Methodology: This was a double-blinded randomized controlled study conducted in the Department of Endocrinology, Hospital Pulau Pinang and Hospital Raja Permaisuri Bainun. Participants were stratified randomized according to HbA1c to intervention group (using T-Manis) and control group. The primary objective was to assess the difference in HbA1c between the groups. Secondary objectives were to assess the difference in body weight, hospitalization related to diabetes, diabetes knowledge between groups and usability and satisfaction of T-Manis. Laboratory investigations and questionnaires were conducted at baseline, 4 months and 8 months. Results: A total of 112 participants were randomized into two groups each with 56 participants. Mean age was 51 years with similar diabetes duration of 16 years in both groups. Participants comprised of 61.6% females with ethnic distribution of 49.1% Malay, 30.4% Chinese, 19.6% Indian and 0.9% Siamese. Baseline HbA1c levels were comparable between intervention and control groups (10.04% versus 9.91%; mean difference 0.13%; 95% CI −0.56 to 0.81; p = 0.718). At 4 months, HbA1c of the intervention group demonstrated a significant reduction compared to the control group (8.93% versus 9.80%; mean difference −0.86; 95% CI −1.59 to −0.14; p = 0.02). Sustained reduction of HbA1c in the intervention group was observed at 8 months (mean difference −1.01; 95% CI −1.85 to −0.16; p = 0.02). Baseline body weight was 77 kg, with no betweengroup differences in body weight, hospitalization related to diabetes and diabetes knowledge scores, although diabetes knowledge scores improved at 4 months in the intervention group. 89.3% of participants reported satisfaction with T-Manis Conclusion The T-Manis mobile application aided in significantly improving glycemic control with high user satisfaction, supporting its feasibility as an adjunct to standard diabetes care.
Diabetes Mellitus, Type 2 ; Glycemic Control ; Mobile Applications ; Pangolins

Introduction: Diabetes affects 15.6% of Malaysian adults and remains a leading cause of complications and mortality. Although locally developed artificial intelligence (AI) tools have shown strong technical performance, their integration with clinicians’ decision-making in primary care remains fragmented. This perspective proposes a synergistic AI– clinician framework to deliver truly personalized proactive diabetes care. Methodology: A multidisciplinary team designed a clinical workflow that integrates three validated Malaysian AI components: (1) LightGBM (LGBM) model trained on Malaysian National Diabetes Registry (MNDR) data for complication risk prediction, (2) DR.MATA AI retinopathy screening with automated triage, and (3) AI-enhanced mobile apps for real-time self-management. These layers feed into a single secure clinician dashboard. The framework was modelled using existing datasets (MNDR 2011–2021, NHMS 2023, DR.MATA validation cohort >14,000 images) and aligned with the National AI Roadmap 2021–2025 and the forthcoming National AI Action Plan 2026–2030. Results: The LightGBM model achieved ROC-AUC values of 0.84 (mortality), 0.71 (retinopathy/nephropathy), 0.66 (ischemic heart disease), and 0.74 (stroke). DR.MATA demonstrated 93.3% accuracy with automated triage. When integrated, modelling suggests the framework could reduce major complications by approximately 20–30% and unnecessary referrals by up to 35%. The system runs automatically upon opening the patient record, requiring no extra clinician steps. Conclusion Synergizing AI with clinicians’ expertise offers a scalable solution for Malaysian primary health clinics. A 12-month national pilot is recommended to generate real-world evidence and inform the National AI Action Plan 2026–2030.
Artificial Intelligence ; Diabetes Mellitus

Introduction: Diabetic peripheral neuropathy (DPN) is a common complication of type 2 diabetes mellitus (T2DM), with nerve conduction studies recognized as the diagnostic gold standard. Serum neuron-specific enolase (NSE) has been linked with DPN. This study aims to determine the prevalence of DPN among T2DM patients, evaluate clinical characteristics, and explore the relationship between NSE and DPN. Methodology: A cross-sectional study was conducted at Universiti Teknologi MARA Specialist Centre Sungai Buloh and Hospital Al-Sultan Abdullah, involving patients aged 18–60 years, diagnosed with T2DM for more than 5 years (n = 132). All participants underwent anthropometric measurement, completed the Michigan Neuropathy Screening Instrument evaluation, and biochemical parameters, including lipid profile, hemoglobin A1c, and serum creatine and NSE. The diagnosis of DPN was made based on positive NCS findings. Logistic regression was used to identify factors associated with DPN. Results: The study population had a mean age of 60.16 ± 10.28 years and a mean duration of diabetes of 14.82 ± 6.66 years. The prevalence of DPN was 51.5% (n = 68). Serum NSE levels were significantly higher (p = 0.003) and independently associated with the presence of DPN (adjusted odds ratio [OR] 1.033, 95% confidence interval [CI] 1.009–1.058, p = 0.006). Participants with DPN were also more likely to be on insulin therapy (p = 0.040). In addition, retinopathy (adjusted OR 3.567, 95% CI 1.528–8.329, p = 0.013) and elevated Urine Albumin-to-Creatinine Ratio levels indicating albuminuria (adjusted OR 1.031, 95% CI 1.002– 1.061, p = 0.037) were significantly associated with DPN. Conclusion More than half of the study population had DPN, which was significantly associated with both retinopathy and nephropathy, as well as with elevated serum NSE. This emphasizes the importance of early screening and highlights the role of NSE as a surrogate marker for neuropathy in diabetes.
Humans ; Diabetes Mellitus, Type 2 ; Diabetic Neuropathies ; Prevalence ; Phosphopyruvate Hydratase

Introduction: Diabetic ketoacidosis (DKA) is a life-threatening complication associated with significant morbidity and healthcare burden. Despite advances in diabetes care, recurrent DKA remains common, often reflecting gaps in treatment adherence and patient education. Identifying predictors of recurrence is crucial for risk stratification and targeted intervention. Methodology: We conducted a retrospective observational study of all adult DKA admissions to a tertiary centre between 2001 and 2025. Electronic medical records were reviewed for demographic data, biochemical parameters, precipitating factors, and clinical outcomes. DKA was defined using standard biochemical criteria. Recurrent DKA was defined as ≥2 admissions during the study period. Factors associated with recurrent DKA admissions were analyzed. Patients under the age of 18 years and those with missing vital information were excluded. Results: A total of 667 DKA admissions, comprising 566 patients, were identified, of which 101 admissions (15.1%) were recurrent, involving 65 patients. Among recurrent DKA episodes, the most common precipitating factors were infection (64.4%) and insulin omission (62.4%). After multivariate analyses, patients with type 1 diabetes mellitus (T1DM) were more likely to develop recurrent DKA compared to those with type 2 diabetes mellitus (aOR 4.16; 95% confidence interval [CI] 2.58–6.70; p <0.001). Insulin omission was strongly associated with recurrent DKA (aOR 2.29; 95% CI 1.46–3.60; p <0.001). In contrast, baseline glycated hemoglobin and chronic kidney disease were not significantly associated with recurrence. Diabetic counseling during the first DKA admission did not reduce recurrent DKA. There were no significant differences in mortality (3.9% vs 6.2%, p = 0.524) or critical care admission rates (40.6% vs 38.7%, p = 0.718) between recurrent and first DKA episodes. Conclusion Recurrent DKA accounts for a substantial proportion of DKA admissions and is strongly associated with insulin omission and T1DM. Our findings suggest that recurrent DKA is driven predominantly by behavioral and adherencerelated factors, indicating the need for multidisciplinary interventions beyond standard inpatient counseling.
Diabetic Ketoacidosis ; Retrospective Studies

Introduction: Diabetes literacy represents personal knowledge and competencies related to diabetes mellitus (DM) among people living with DM (PLWD). It is a crucial component for optimizing care and empowering effective selfmanagement. Methodology: A cross-sectional study was conducted at Hospital Tuanku Ja’afar Seremban (HTJS) and Klinik Kesihatan Seremban (KKS) using a validated simplified Diabetes Knowledge Test (DKT). DKT assessed understanding in six domains, namely, awareness, lifestyle modification, diet and monitoring, general knowledge, preventive screening, and insulin. A score of >75% was classified as adequate diabetes literacy. Significant predictive factors identified from univariate Pearson Chi Square were further analyzed using multivariate logistic regression. Results: A total of 250 PLWDs, with equal contribution from each centre, were recruited with a mean (SD) age of 50.3 (13.6) years, 58.4% female, and 43.2% Malays. A total of 21.2% demonstrated adequate diabetes literacy. The results demonstrated the highest proficiency in the preventive screening domain (92.6%) and the lowest in the awareness domain (50.2%). Unemployed PLWDs had significantly lower odds of adequate diabetes literacy (odds ratio [OR] = 0.20, p = 0.010). Similarly, PLWDs with hemoglobin A1c levels >10% exhibited approximately 2.6-fold lower odds of adequate diabetes literacy. In contrast, PLWDs who reported healthcare personnel as their primary source of diabetes-related information had significantly higher odds of adequate literacy (OR = 1.59, p = 0.017). No significant association was demonstrated between diabetes literacy and frequency of hospital admissions, medication adherence, and diabetes-related target organ damage Conclusion Diabetes literacy among PLWD in HTJS and KKS is suboptimal, with notable gaps in awareness of the disease. Targeted, culturally tailored education strategies are essential to address these disparities and to empower them for effective diabetes self-management.
Literacy ; Diabetes Mellitus