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. 2017 Apr;73(2):123-128.
doi: 10.1016/j.mjafi.2016.08.007. Epub 2016 Oct 18.

Performance of Indian Diabetes Risk Score (IDRS) as screening tool for diabetes in an urban slum

Puja Dudeja  1 , Gurpreet Singh  2 , Tukaram Gadekar  3 , Sandip Mukherji  4
Affiliations

Performance of Indian Diabetes Risk Score (IDRS) as screening tool for diabetes in an urban slum

Puja Dudeja et al. Med J Armed Forces India. 2017 Apr.

Abstract

Background: India is diabetic capital of world, with maximum number of diabetic patients. There is large burden of undetected diabetic cases in community. There is increasing risk of diabetes in urban slum, because of illiteracy, lack of awareness, low socioeconomic status and unhealthy life style. Madras Diabetes Research Foundation (MDRF) has developed Indian Diabetes Risk Score (IDRS) to detect undiagnosed Type 2 diabetes. The aim of this article is to study the performance of IDRS as screening tool for undiagnosed cases of Type 2 diabetes and to find the prevalence of undiagnosed Type 2 diabetes in an urban slum.

Methods: Screening for diabetes was carried out in an urban slum. The sample size was 155 (assumed prevalence of undiagnosed diabetes 9%). IDRS tool comprising of two modifiable (waist circumference, physical activity) and two non-modifiable risk factors (age, family history) for diabetes was used to assess the risk of diabetes anthropometry data was obtained. Conformation of diabetes was done using blood sugar levels on fasting venous sample.

Results: Mean and SD for age of study subjects were 49.68 ± 14.80 years, BMI 26.60 ± 8.51 kg/m2, waist hip ratio (females) 0.87 ± 0.06 cm, waist hip ratio (males) 0.95 ± 0.06 cm, waist circumference (females) 89.99 ± 10.95 cm, waist circumference (males) 89.44 ± 10.9 cm. IDRS predicted the risk of diabetes mellitus with sensitivity of 95.12% and specificity of 28.95% in individuals with score >60.

Conclusion: IDRS can be used as an effective tool for screening undiagnosed diabetes in the community.

Keywords: Diabetes; ROC curve; Screening; Sensitivity; Specificity.

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Figures

Fig. 1
Fig. 1
Receiver operator characteristic curve for different values of cut off of Indian diabetes risk score.
See this image and copyright information in PMC

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