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J Clin Endocrinol Metab. 2011 Aug;96(8):2596-600. doi: 10.1210/jc.2010-1698. Epub 2011 Jun 6.

Role of glycated hemoglobin in the prediction of future risk of T2DM.

Author information

1
Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, USA. abdulghani@uthscsa.edu

Abstract

AIM:

The aim of this study was to assess the predictive power of glycated hemoglobin (HbA1c) for future type 2 diabetes risk.

RESEARCH DESIGN AND METHODS:

Six hundred eighty-seven subjects who were free of type 2 diabetes mellitus (T2DM) participated in the study. Each subject received a 75-g oral glucose tolerance test at baseline and 624 received a repeat oral glucose tolerance test after 3.5 ± 0.1 yr of follow-up. Anthropometric measurements, lipid profile, and HbA1c were measured during the baseline visit. Logistic multivariate models were created with T2DM status at follow-up as the dependent variable and other parameters as the independent variables. The receiver-operating characteristic (ROC) was used to assess the predictive discrimination of the various models.

RESULTS:

HbA1c was a significant predictor of future T2DM risk (area under the ROC curve = 0.73, P < 0.0001). A HbA1c cut point of 5.65% had the maximal sum of sensitivity and specificity. Although the area under the ROC curve of HbA1c was smaller than the area under the ROC curve of both the 1-h plasma glucose concentration and a multivariate logistic model (including anthropometric parameters, lipid profile, and fasting plasma glucose), the addition of HbA1c to both the 1-h plasma glucose and the multivariate logistic model significantly increased their predictive power.

CONCLUSION:

Although HbA1c alone is a weaker predictor of future T2DM risk compared with the 1-h plasma glucose, it provides additive information about future T2DM risk when added to previously published prediction models.

PMID:
21646370
DOI:
10.1210/jc.2010-1698
[Indexed for MEDLINE]

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