Validation of the MDRF-Indian Diabetes Risk Score (IDRS) in another south Indian population through the Boloor Diabetes Study (BDS).
作者： Prabha Adhikari , Shashidhar Kotian , Rahul Pathak
DOI:
关键词: Diabetes risk 、 Predictive value of tests 、 Glucose tolerance test 、 Risk assessment 、 Medicine 、 Internal medicine 、 Diabetes mellitus 、 Family history 、 Surgery 、 Waist 、 Receiver operating characteristic
摘要: Objective To validate the MDRF-Indian Diabetes Risk Score (IDRS) in a south Indian population coastal Karnataka. Methods The study was conducted at Boloor locality Mangalore on adults aged 20 years or more. group comprised 551 participants (68.9% response rate). OGTT performed using 75 gms of glucose. MDRF-IDRS calculated age, family history diabetes, physical activity and waist measurement. ROC curves were constructed to identify optimum value (> = 60%) IDRS for determining diabetes as diagnosed WHO consulting criteria. Results We found that 71 individuals known diabetic subjects (KD) while 45 have newly (NDD). An score > =60 had best sensitivity (62.2%) specificity (73.7%) detecting undiagnosed this community. Conclusion Our confirms validates being valid simple reliable screening tool highest diabetes.
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M Datta, M Deepa, R Deepa, V Mohan, S Somannavar, A Simplified Indian Diabetes Risk Score for Screening for Undiagnosed Diabetic Subjects Journal of Association of Physicians of India. ,vol. 53, pp. 759- 763 ,(2005)
A. Bergmann, J. Li, L. Wang, J. Schulze, S. Bornstein, P. Schwarz, A simplified Finnish diabetes risk score to predict type 2 diabetes risk and disease evolution in a German population. Hormone and Metabolic Research. ,vol. 39, pp. 677- 682 ,(2007) , 10.1055/S-2007-985353
M Schulze, H Boeing, H.-U Häring, A Fritsche, H.-G Joost, Validierung des Deutschen Diabetes-Risiko-Scores mit metabolischen Risikofaktoren für Typ-2-Diabetes Deutsche Medizinische Wochenschrift. ,vol. 133, pp. 878- 883 ,(2008) , 10.1055/S-2008-1075664
J.A. Al-Lawati, J. Tuomilehto, Diabetes risk score in Oman: A tool to identify prevalent type 2 diabetes among Arabs of the Middle East Diabetes Research and Clinical Practice. ,vol. 77, pp. 438- 444 ,(2007) , 10.1016/J.DIABRES.2007.01.013
V. Mohan, S. Sandeep, M. Deepa, K. Gokulakrishnan, M. Datta, R. Deepa, A diabetes risk score helps identify metabolic syndrome and cardiovascular risk in Indians – the Chennai Urban Rural Epidemiology Study (CURES‐38) Diabetes, Obesity and Metabolism. ,vol. 9, pp. 337- 343 ,(2007) , 10.1111/J.1463-1326.2006.00612.X
A. Ramachandran, C. Snehalatha, V. Vijay, N.J. Wareham, S. Colagiuri, Derivation and validation of diabetes risk score for urban Asian Indians Diabetes Research and Clinical Practice. ,vol. 70, pp. 63- 70 ,(2005) , 10.1016/J.DIABRES.2005.02.016
V. Mohan, M. Deepa, R. Deepa, C. S. Shanthirani, S. Farooq, A. Ganesan, M. Datta, Secular trends in the prevalence of diabetes and impaired glucose tolerance in urban South India--the Chennai Urban Rural Epidemiology Study (CURES-17). Diabetologia. ,vol. 49, pp. 1175- 1178 ,(2006) , 10.1007/S00125-006-0219-2
C. Glumer, B. Carstensen, A. Sandbaek, T. Lauritzen, T. Jorgensen, K. Borch-Johnsen, A Danish diabetes risk score for targeted screening: the Inter99 study. Diabetes Care. ,vol. 27, pp. 727- 733 ,(2004) , 10.2337/DIACARE.27.3.727
R Sicree, Diabetes and impaired glucose tolerance Diabetes atlas. pp. 15- 109 ,(2006)