Associations between glycated albumin or hemoglobin A1c and the presence of coronary artery disease. Issue 6 (June 2015)

• Record Type: Journal Article
• Authors: Norimatsu, Kenji; Miura, Shin-ichiro; Suematsu, Yasunori; Shiga, Yuhei; Miyase, Yuiko; Nakamura, Ayumi; Yamada, Mayumi; Matsunaga, Akira; Saku, Keijiro
• Is Part Of: Journal of cardiology. Volume 65:Issue 6(2015:Jun.)
• Page Start: 487
• Page End: 493
• Publication Date: 2015-06
• Subjects: Glycated albumin -- Hemoglobin A1c -- Coronary artery disease -- Coronary computed tomography angiography; Cardiology -- Periodicals; 616.12
• DOI: 10.1016/j.jjcc.2014.07.006
• Languages: English
• ISSNs: 0914-5087

Abstract

Abstract: Objective: We investigated the associations between serum levels of glycated albumin (GA) or hemoglobin A1c (HbA1c) and the presence of coronary artery disease (CAD) in patients who underwent coronary computed tomography angiography (CTA). Methods and results: The study consisted of 244 consecutive patients who underwent CTA and in whom we could measure the levels of both GA and HbA1c. Any narrowing of the normal contrast-enhanced lumen to >50% that could be identified in multiplanar reconstructions or cross-sectional images by CTA was defined as significant stenosis in CAD. We divided the patients into two groups: CAD group ( n = 72) and non-CAD group ( n = 172), as assessed by CTA. The CAD group showed significantly higher GA and HbA1c than the non-CAD group. GA and HbA1c showed a positive correlation ( r = 0.551, p < 0.0001). A multivariate logistic regression analysis was performed to examine the associations between the presence of CAD and age, gender, body mass index, and coronary risk factors (hypertension, dyslipidemia, and smoking), in addition to GA and HbA1c. Age [odds ratio (OR): 1.04, p = 0.02], gender (OR: 2.84 p = 0.01), hypertension (OR: 3.20, p = 0.01), and GA (OR: 1.16, p = 0.03) were identified as significant independent variables that predicted the presence of CAD. In particular, GA (OR: 1.30, p = 0.02) was the only predictor of the presence of CAD in the diabetes mellitus group by a multivariate logistic regression analysis. We defined the cut-off value of GA for the prediction of CAD in patients with diabetes as 17.9% (sensitivity 0.639, specificity 0.639) by a receiver-operating characteristic curve analysis. Conclusion: GA may be superior to HbA1c as a marker for evaluating the presence of CAD.