Introduction: The 2021 IDF-DAR risk calculator had been previously evaluated in multiple studies and subsequently widely accepted and applied in clinical practice as a practical standardized tool for patient risk stratification. Recently updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating modern diabetes technologies, including continuous glucose monitoring (CGM), automated insulin delivery (AID) systems, and advanced insulin formulations to enhance risk stratification. This tool allows medical professionals to tailor Ramadan practices based on overall factors toward promoting safe fasting. Methodology: This prospective multicentre observational study recruited adults with Type 1 and Type 2 diabetes attending public hospitals nationwide. People with diabetes (PwD) intending to perform Ramadan fasting were invited to participate and assessed using the 2026 IDF-DAR Risk Calculator in the 6-week pre-Ramadan period between 30th January and 19th March 2026. Results: A total of 458 PwD were evaluated and stratified into low (15.7%), moderate (41%), and high risk (43.3%) categories. Most participants had Type 2 diabetes (83.6%), with 60.3% having a disease duration exceeding 10 years and 43% exhibiting poor glycemic control (hemoglobin A1c >9%). Insulin therapy was used by 76.4% of participants, including two individuals with Type 1 diabetes using AID systems. Most participants reported no recent hypoglycemia (76.4%), 81.0% performed glucose monitoring, and 3.3% used CGM. Severe comorbidities were uncommon, with 1.1% having unstable macrovascular disease and 4.4% advanced chronic kidney disease (estimated glomerular filtration rate <30). Notably, 72.2% received structured Ramadan education. Conclusion Majority of PwD attending tertiary diabetes clinics were in the moderate- to high-risk category and intended to fast despite medical advice against fasting in some cases. Although most participants were on insulin therapy, hypoglycemia was low in the pre-Ramadan period. Integration of modern technologies, advanced insulin therapies, and structured education may support safer fasting practices.
Risk Assessment ; Diabetes Mellitus ; Hospitals ; Fasting

Introduction: Hemoglobin A1c (HbA1c) is fundamental in the diagnosis and longitudinal monitoring of diabetes mellitus. Appropriate utilization is essential to ensure optimal glycemic control, cost-effectiveness, and laboratory efficiency. Regular audits are crucial for assessing adherence to testing intervals and for identifying gaps in diabetes management. The aim was to evaluate the utilization pattern and glycemic outcomes of HbA1c testing at Hospital Teluk Intan in 2025. Methodology: A retrospective descriptive audit was conducted using Laboratory Information System data from 1 January to 31 December 2025. All HbA1c tests performed during the study period were included. Rejected samples and duplicate tests within 3 months for the same patient were excluded. Data were analyzed for test volume, inpatient versus outpatient distribution, age group, and glycemic control categories. Results: A total of 10,208 HbA1c tests were performed, with 987 (9.7%) rejected samples. Among valid requests, 3,561 (34.9%) were inpatient and 5,660 (55.4%) were outpatient. Adults accounted for 9,196 tests (90.1%), while paediatric requests were minimal (n = 25). Regarding glycemic status, 4,502 (44.1%) had HbA1c <6.5%, and 828 (8.1%) were between 6.5 and 7.0%. Suboptimal control (7.0–10.0%) was observed in 2,443 patients (23.9%), while 1,448 (14.2%) demonstrated poor control (>10.0%). Overall, 38.1% of patients had HbA1c ≥7.0%, indicating inadequate glycemic control. Conclusion HbA1c testing at Hospital Teluk Intan is predominantly utilized in adult and outpatient settings. Despite substantial testing volume, over one-third of patients demonstrated suboptimal or poor glycemic control, underscoring persistent therapeutic gaps. These findings highlight the need for strengthened diabetes management strategies and targeted quality improvement initiatives to enhance glycemic outcomes and optimize resource utilization.
Glycated Hemoglobin ; Hospitals