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Risk scores for type 2 diabetes can be applied in some populations but not all.

Authors
Glümer, C; Vistisen, D; Borch-Johnsen, K; Colagiuri, S
Citation
Diabetes care, 29(2):410-414, 2006
Journal Title
Diabetes care
ISSN
0149-59921935-5548
Abstract
OBJECTIVE: Risk scores based on phenotypic characteristics to identify individuals at high risk of having undiagnosed diabetes have been developed in Caucasian populations. The impact of known risk factors on having undiagnosed type 2 diabetes differs between populations from different ethnic origin, and risk scores developed in Caucasians may not be applicable to other ethnic groups. This study evaluated the performance of one risk score in nine populations of diverse ethnic origin. RESEARCH DESIGN AND METHODS: Data provided by centers from around the world to the DETECT-2 project were used. The database includes population-based surveys with information on at least 500 people without known diabetes having a 75-g oral glucose tolerance test. To date, 52 centers have contributed data on 190,000 individuals from 34 countries. In this analysis, nine cross-sectional studies were selected representing diverse ethnic and regional backgrounds. The risk score assessed uses information on age, sex, blood pressure treatment, and BMI. RESULTS: This analysis included 29,758 individuals; 1,805 individuals had undiagnosed diabetes. The performance of the risk score varied widely, with sensitivity, specificity, and percentage needing further testing ranging between 12 and 57%, 72 and 93%, and 2 and 25%, respectively, with the worse performance in non-Caucasian populations. This variation in performance was related to differences in the association between prevalence of undiagnosed diabetes and components of the risk score. CONCLUSIONS: A typical risk score developed in Caucasian populations cannot be applied to other populations of diverse ethnic origins.
MeSH terms
Body Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 2/diagnosisDiabetes Mellitus, Type 2/ethnology*FemaleHumansMaleMass Screening*Middle AgedPredictive Value of TestsROC CurveRisk Assessment
PMID
16443896
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Journal Papers > School of Medicine / Graduate School of Medicine > Preventive Medicine & Public Health
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