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Hemoglobin A1c Risk Score for the Prediction of Coronary Artery Disease in Subjects with Angiographically Diagnosed Coronary Atherosclerosis.
- Source :
-
Cellular Physiology & Biochemistry (Karger AG) . Aug2014, Vol. 34 Issue 3, p672-680. 9p. - Publication Year :
- 2014
-
Abstract
- Objective: To develop a risk score by incorporating Hemoglobin A1c(HbA1c) with traditional risk factors for the prediction of coronary artery disease (CAD) in Chinese subjects. Methods: A total of 196 consecutive subjects (131 males and 65 females) aged 38-89 years who underwent coronary angiography were enrolled in this study. HbA1c risk score sheets for the prediction of CAD were developed using age, gender and HbA1c. A receiver-operating characteristic curve analysis was used to determine the optimum cut-off levels of the HbA1c risk score for predicting CAD. Results: In the ROC curve analysis, the optimal cut-off value of the HbA1c score for predicting CAD was 5.1, with a sensitivity of 72.0% and a specificity of 75.5% (area under the curve 0.781, 95% confidence interval 0.709 to 0.854, p=0.000). Conclusions: The HbA1c score system is a simple and feasible method that can be used for the prediction of CAD. Large-scale studies are needed to further substantiate these results. © 2014 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10158987
- Volume :
- 34
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Cellular Physiology & Biochemistry (Karger AG)
- Publication Type :
- Academic Journal
- Accession number :
- 98284282
- Full Text :
- https://doi.org/10.1159/000363032