• VENKATESAN S. Department of Pharmacy, Annamalai University, Chidambaram
  • SUSILA S. Department of Pharmacy, Annamalai University, Chidambaram
  • SUTHANTHIRAN S. Department of Pharmacy, Annamalai University, Chidambaram
  • MADHUSUDHAN S. Department of Pharmacy, Annamalai University, Chidambaram
  • PAARI N. Department of Medicine, Rajah Muthaiah Medical College Hospital, Chidambaram, Tamil Nadu, India 608002



IDRS, Pre-Diabetes, FBS, HbA1c, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value


Objective: To identify and prevent the vulnerable prediabetic population becoming diabetic patients in the future using the Indian Diabetic Risk Score (IDRS) and to evaluate the performance of the IDRS questionnaire for detecting prediabetes and predicting the risk of Type 2 Diabetes Mellitus in Chidambaram rural Indian population.

Methods: A cross-sectional descriptive study was carried out among patients attending a master health check-up of RMMCH hospital located at Chidambaram. The IDRS was calculated by using four simple measures of age, family history of diabetes, physical activity, and waist measurement. The relevant blood test, like Fasting plasma glucose (FBS), Glycated hemoglobin (HbA1C) test, were observed for identifying prediabetes. Subjects were classified as Normoglycemic, prediabetics, and diabetics based on the questionnaire and diagnostic criteria of the Indian Council of Medical Research (ICMR) guidelines.

Results: In the study, sensitivity and specificity of IDRS score were found to be 84.21% and 63.4% respectively for detecting prediabetes in community with the positive predictive value of 51.6% and negative predictive value of 89.6% and prevalence of prediabetes in the Chidambaram rural population is 31.6% among the 60 participants.

Conclusion: The Indian diabetic risk score questionnaire designed by Ma­dras diabetic research federation is a useful screening tool to identify unknown type 2 diabetes mellitus. The question­naire is a reliable, valuable, and easy to use screening tool which can be used in a primary care setup. 


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Sangam K, Anifa M, K S, K V, Reddy TRM. Evaluation of pharmacoeconomic direct cost in diabetes patients. Asian J Pharm Clin Res 2017;10:38-40.

Anjana R, Pradeepa R, Deepa M, Datta M, Sudha V, Unnikrishnan R, et al. Prevalence of diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) in urban and rural India: phase I results of the Indian council of medical research–India diabetes (ICMR–INDIAB) study. Diabetologia 2011;54:3022-7.

Matthew C Riddle. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019. Diabetes Care 2019;42 Suppl 1:S13-S28.

Kandasamy K, Rajagopal SS, Ramalingam K, Krishnan K. Prevalence of diagnosed and undiagnosed diabetes in a rural community: a home-based screening. Asian J Pharm Clin Res 2018;11:454-7.

Phillip Tuso. Prediabetes and lifestyle modification: time to prevent a preventable disease. Perm J 2014;18:88-93.

Goldenberg R, Punthakee Z. Definition, classification and diagnosis of diabetes, prediabetes and metabolic syndrome. Can J Diabetes 2013;37:S8-S11.

Muthunarayanan L, Ramraj B, Russel J. Prevalence of prediabetes and its associated risk factors among rural adults in Tamil Nadu. Arch Med Health 2015;3:178-84.

Stiglic G, Pajnkihar M. Evaluation of major online diabetes risk calculators and computerized predictive models. PLOS One 2015;10:e0142827.

Madhavi P, KVP. Screening for undiagnosed diabetic subjects using a simplified Indian diabetes risk score [IDRS] in Khammam urban. J Evidence Based Med Healthcare 2016;3:2876-9.

ICMR Guidelines for management of type 2 diabetes 2018. India: ICMR; 2018. p. 9-10.

Wong H, Lim G. Measures of diagnostic accuracy: sensitivity, specificity, ppv and npv. Proceedings Singapore Healthcare 2011;20:316-8.

Altman D, Bland J. Statistics notes: diagnostic tests 1: sensitivity and specificity. Br Med J 1994;308:1552.

Parikh R, Mathai A, Parikh S, Chandra Sekhar G, Thomas R. Understanding and using sensitivity, specificity and predictive values. Indian J Ophthalmol 2008;56:45-50.

Mohan V, Deepa R, Deepa M, Somannavar S, Datta M. A simpli-fied Indian diabetes risk score for screening for undiagnosed diabetic subjects. J Assoc Physicians India 2005;53:759-63.

Adhikari P, Pathak R, Kotian S. Validation of the MDRF-Indian diabetes risk score (IDRS) in another south Indian population through the boloor diabetes study (BDS). J Assoc Physicians India 2010;58:434–6.

Sheikh Mohd Saleem, Adnan Firdous Raina, S Muhammad Salim Khan, Shah Sumaya Jan. Indian diabetic risk score-A tool for predicting risk of undiagnosed type 2 diabetes mellitus. Int J Curr Res Rev 2017;9:39-42.

Khan M, Sonkar G, Singh S, Sonkar S. Importance of the madras diabetes research foundation-Indian diabetes risk score (MDRF-IDRS) for mass screening of type 2 diabetes and its complications at primary health care centers of North India. Int J Diabetes Dev Countries 2019;39:419-25.

Stanley JM, Elantamilan D, Mohanasundaram K, Kumaravel TS. Evaluation of Indian diabetic risk score for screening undiagnosed diabetes subjects in the community. Indian J Sci Technol 2012;5:2798-9.

Dudeja P, Singh G, Gadekar T, Mukherji S. Performance of Indian diabetes risk score (IDRS) as a screening tool for diabetes in an urban slum. Med J Armed Forces India 2017;73:123-8.

Ramachandran A, Snehalatha C, Vijay V, Wareham NJ, Colagiuri S. Derivation and validation of diabetes risk score for Urban Asian. Diabetes Res Clin Practice 2005;70:63-70.

Beagley J, Guariguata L, Weil C, Motala AA. Global estimates of undiagnosed diabetes in adults. Diabetes Res Clin Pract 2014;103:150-60.

Dasappa H, Fathima FN, Prabhakar R, Sarin S. Prevalence of diabetes and prediabetes and assessments of their risk factors in urban slums of Bangalore. J Family Med Primary Care 2015;4:399-404.

Ravikumar P, Bhansali A, Ravikiran M. Prevalence and risk factors of diabetes in a community-based study in North India: the Chandigarh urban diabetes study (CUDS). Diabetes Metab 2011;37:216-21.

Narayan KM, Gregg EW, Fagot Campagna A, Engelgau MM, Vinicor F. Diabetes--a common, growing, serious, costly, and potentially preventable public health problem. Diabetes Res Clin Pract 2000;50 Suppl 2:S77-S84.



How to Cite

S., V., S. S., S. S., M. S., and P. N. “IDENTIFICATION AND ASSESSMENT OF PREDIABETES-A RURAL INDIAN STUDY (A CORRELATIVE STUDY BETWEEN QUESTIONNAIRE AND BIOCHEMICAL ANALYSIS)”. International Journal of Pharmacy and Pharmaceutical Sciences, vol. 12, no. 8, Aug. 2020, pp. 36-40, doi:10.22159/ijpps.2020v12i8.38182.



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