Comparison of IDRS, ADA and FINDRISC Diabetes Risk Assessment Tools: A Cross-Sectional Analysis in a Tertiary Care Hospital

• Main Authors: Nazma Akter, Nazmul Kabir Qureshi
• Format: Article
• Language: English
• Published: Sri Lanka College of Endocrinologists 2020-08-01
• Series: Sri Lanka Journal of Diabetes Endocrinology and Metabolism
• Subjects: diabetes risk assessment score, idrs, ada diabetes risk assessment tools, findrisc
• Online Access: https://sjdem.sljol.info/articles/7415

Background To identify individuals at high risk of developing type2 diabetes mellitus (T2DM), use of a validated risk-assessment tool is currently recommended. A simple risk-assessment scoring system for early screening of T2DM will be beneficial to identify the high-risk adults and thus taking adequate preventive measures in combating DM. It is under-reported, whether a different risk tool alters the predicted risk of an individual. Aim The aim of this study was to examine the results of three commonly used validated risk-assessment tools when applied to the same population. Method This cross-sectional analytical study was carried upon randomly sampled 602 non-diabetic adults visiting the outpatient department (OPD) of a tertiary care hospital in Dhaka, Bangladesh from January to December 2019. Subjects having previous history of high blood glucose during pregnancy or other health examination were also included. With written informed consent, the Indian Diabetes Risk Score (IDRS), American Diabetes (ADA) Risk Score and Finish Diabetes Risk Score (FINDRISC) questionnaires were used to calculate predicted risk score for developing T2DM within 10 years. Results Among 602 subjects, 55.0 % were female. The mean (±SD) age of the study subjects was 38.56 ±1.13 years. IDRS categorized the highest proportion (38.2 %) of individuals at ‘high risk’ followed by ADA (22.4 %) and finally, the FINDRISC (8.6 %); [p<0.05]. Conclusions The adoption of a different valid risk assessment tool can alter the predicted risk of an individual. To adequately prevent type2 diabetes, risk scoring systems must be validated for each population considered.