51. Hemoglobin A1c risk score for the prediction of coronary artery disease in subjects with angiographically diagnosed coronary atherosclerosis
- Author
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Yan Gu, Zhe Liu, En-Zhi Jia, Wen-Zhu Ma, Zhao-Hong Chen, Feng-Hui An, Lian-Sheng Wang, Zhijian Yang, Hong-Wei Mao, Zhao-Yang Li, Chun-Jian Li, Tie-Bing Zhu, and Li-Hua Li
- Subjects
Adult ,Male ,medicine.medical_specialty ,endocrine system diseases ,Physiology ,CAD ,Coronary Artery Disease ,Coronary Angiography ,lcsh:Physiology ,Coronary artery disease ,lcsh:Biochemistry ,Internal medicine ,medicine ,Humans ,lcsh:QD415-436 ,Coronary atherosclerosis ,Aged ,Aged, 80 and over ,Glycated Hemoglobin ,Area under the curve ,Framingham Risk Score ,lcsh:QP1-981 ,business.industry ,Curve analysis ,Middle Aged ,medicine.disease ,Confidence interval ,Coronary heart disease ,Receiver-operating characteristic curve analysis ,ROC Curve ,Hemoglobin A1c ,Cardiology ,Female ,Hemoglobin ,business - 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.
- Published
- 2014