Aims: To develop a risk score, for identifying severe and complex CAD in patients with type 2 diabetes mellitus.
Methods: In this cross sectional study, 179 patients with type 2 diabetes mellitus undergoing coronary angiogram for the evaluation of suspected coronary artery disease (CAD) were recruited at a tertiary-care hospital. Patients were divided into developmental (n=124) and validation (n=55) cohorts. Biochemical and anthropometric parameters were analysed. Predictors of severe and complex CAD (SYNTAX Score>22) were identified by multiple logistic regression analysis.
Results: Insulin resistance>3.4 (OR: 21.26, 95% CI: 5.71-79.09), duration of diabetes>5years (OR: 13.50, 95% CI: 3.13-58.25), total cholesterol/HDL-C ratio>5 (OR: 2.75, 95% CI: 0.66-11.55) and waist circumference>96cm (OR: 5.08, 95% CI: 1.27-20.42) were independent predictors of severe and complex CAD, and Manipal Diabetes Coronary Artery Severity Score was developed.
Conclusions: The prediction of severe and complex CAD was achieved with this simple score, and thus enabling effective identification of patients beforehand, who are not likely to be suitable for angioplasty.
Keywords: Coronary artery disease; Insulin resistance; SYNTAX score; Type 2 diabetes mellitus.
Copyright © 2016 Diabetes India. Published by Elsevier Ltd. All rights reserved.