Introduction: Type 2 diabetes mellitus (T2DM) and thyroid disorders are common endocrine conditions with a bidirectional relationship affecting glucose and lipid metabolism. Adiposity, particularly fat mass index (FMI), may influence thyroid function. but its association with thyroid dysfunction and glycemic control remains unclear, especially in Malaysia. This study aimed to determine the prevalence of thyroid dysfunction in T2DM and its association with glycemic control and FMI at Universiti Teknologi MARA (UiTM). Methodology: A cross-sectional study was conducted among patients with T2DM attending the Endocrine Clinic, UiTM, from December 2025 to March 2026. A total of 91 participants aged 18–70 years were recruited using convenience sampling. Demographic, clinical, anthropometric, and laboratory data were collected. Thyroid dysfunction was defined as thyroid-stimulating hormone (TSH) <0.38 or >5.33 mIU/L. Body composition was assessed using the InBody 380 to determine FMI. Data were analyzed using SPSS version 30 with descriptive statistics and Pearson correlation. Results: The prevalence of thyroid dysfunction among patients with T2DM was 7.7% (7/91), predominantly with low TSH levels. Mean hemoglobin A1c (HbA1c) in the overall study population was 7.59 ± 1.49%, and mean TSH was 1.42 ± 0.95 mIU/L, within the euthyroid range. Mean FMI was 11.95 ± 5.23 kg/m², exceeding normal ranges for both men (3–6 kg/m²) and women (5–9 kg/m²). FMI showed a positive correlation with TSH level (r = 0.379, p <0.001), indicating that higher adiposity was associated with higher TSH levels despite remaining within the euthyroid range. Pearson correlation showed a weak, non-significant negative correlation between HbA1c and TSH (r = −0.127, p = 0.229). Conclusion The prevalence of thyroid dysfunction among patients with T2DM in our cohort was relatively low at 7.7%. However, the significant correlation between FMI and TSH level, even within the euthyroid range, suggests that adiposity may exert a clinically relevant influence on thyroid function.
Diabetes Mellitus, Type 2 ; Prevalence ; Thyroid Gland ; Adipose Tissue

Introduction: Rapid detection of influenza viruses and respiratory syncytial virus (RSV) can be achieved by having rapid molecular point of care tests (POCTs). This expedites the diagnosis attributed by having similar clinical presentations leading to facilitation of precision medicine and reduction of antimicrobial resistance. The growing number of POCTs foster the need to ensure that these POCTs have satisfactory and reliable performance. With that the aim of this study is to evaluate the performance of rapid molecular POCT regarded as ‘X’ for the detection of Influenza viruses and RSV in comparison to multiplex PCR. Methods: A laboratory-based study was conducted from January to December 2020 which involved analysis of 116 nasopharyngeal swabs, tested using POCT X and multiplex PCR as a method of reference. The performance analysis incorporated the sensitivity, specificity, positive and negative predicted values determination. The cycle threshold values were reviewed for discordant results. Results: The POCT X demonstrated sensitivity of 88.57% with 100% specificity for Influenza A virus, and 85.71% of sensitivity with 100% specificity for influenza B virus detection. Meanwhile it revealed 100% sensitivity and specificity for RSV detection. There were ten specimens demonstrating discordant results whereby viruses were not detected by POCT X, however detected by multiplex PCR. The POCT X was not able to detect eight (12.9%) and two (16.7%) influenza A and B viruses respectively. Conclusion: The overall performance of POCT X was corresponded to multiplex PCR. This best served as a steadfast ancillary test for influenza and RSV infection.

The worldwide upsurge of Type 2 Diabetes Mellitus (T2DM) warrants the attention of public health, especially in complications. Diabetic Retinopathy (DR), the commonest ocular complication, contributes to the growing incidence of blindness. Recommendations that the visual acuity (VA) assessment guidelines should be used in DR screening was not routinely practiced. This study aims to model the predictive effect of VA - a simple economic clinical assessment - upon DR in patients with T2DM. A case-control study was conducted in Hospital Universiti Sains Malaysia with subjects recruited from the ophthalmology clinic. The primary variable during analysis was VA, and the outcome variable was DR. Models with eight control variables which included age, gender, and duration of DM were developed. The predictive effect measured by logistic regression showed that when unadjusted; four variables had a significant association with DR, at p-value<0.25; they were the duration of DM, systolic blood pressure, glycosylated haemoglobin and VA. From the eight different predictive models, the estimated adjusted odds ratio produced ranges from 6.09 to 11.64. Our study shows that VA has a predictive effect upon DR in T2DM patients. We suggest VA assessment, to be on par with the monitoring of blood pressure and blood glucose.
Predictive ; Visual acuity ; Diabetic Retinopathy ; Type 2 Diabetes Mellitus