Impaired fasting glucose or impaired glucose tolerance. What best predicts future diabetes in Mauritius?

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Shaw, J. E, Zimmet, P. Z, de Courten, Maximilian, Dowse, G. K, Chitson, P, Gareeboo, H, Hemraj, F, Fareed, D, Tuomilehto, J and Alberti, K. G. M. M (1999) Impaired fasting glucose or impaired glucose tolerance. What best predicts future diabetes in Mauritius? Diabetes Care, 22 (3). pp. 399-402. ISSN 0149-5992 (print) 1935-5548 (online)


OBJECTIVE: To determine if impaired fasting glucose (IFG; fasting plasma glucose level 6.1-6.9 mmol/l) can predict future type 2 diabetes as accurately as does impaired glucose tolerance (IGT; 2-h plasma glucose level 7.8-11.0 mmol/l). RESEARCH DESIGN AND METHODS: A longitudinal population-based study was performed with surveys in 1987 and 1992 on the island of Mauritius, assessing diabetes status by the oral glucose tolerance test. A total of 3,717 subjects took part in both surveys. Of these subjects, 3,229 were not diabetic in 1987 and formed the basis of this study. RESULTS: At baseline, there were 607 subjects with IGT and 266 subjects with IFG. There were 297 subjects who developed diabetes by 1992. For predicting progression to type 2 diabetes, the sensitivity, specificity, and positive predictive values were 26, 94, and 29% for IFG and 50, 84, and 24% for IGT, respectively. Only 26% of subjects that progressed to type 2 diabetes were predicted by their IFG values, but a further 35% could be identified by also considering IGT. The sensitivities were 24% for IFG and 37% for IGT in men and 26% for IFG and 66% for IGT in women, respectively. CONCLUSIONS: These data demonstrate the higher sensitivity of IGT over IFG for predicting progression to type 2 diabetes. Screening by the criteria for IFG alone would identify fewer people who subsequently progress to type 2 diabetes than would the oral glucose tolerance test.

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Item type Article
DOI 10.2337/diacare.22.3.399
Official URL
Subjects Historical > FOR Classification > 1103 Clinical Sciences
Current > Division/Research > College of Health and Biomedicine
Keywords type 2 diabetes, oral glucose tolerance test, prediction, screening test, longitudinal studies, health survey
Citations in Scopus 284 - View on Scopus
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