Mukund P Srinivasan1, Padmanabh K Kamath2, Narayan M Bhat2, Narasimha D Pai2, Rajesh U Bhat2, Poornima A Manjrekar3, Chakrapani Mahabala4. 1. Department of Internal Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India. 2. Department of Cardiology, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India. 3. Department of Biochemistry, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India. 4. Department of Internal Medicine, Kasturba Medical College, Manipal University, Mangalore, Karnataka, India. Electronic address: chakrapani2009@hotmail.com.
Abstract
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.
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.
Authors: Salwa S Zghebi; Mamas A Mamas; Darren M Ashcroft; Martin K Rutter; Harm VanMarwijk; Chris Salisbury; Christian D Mallen; Caroline A Chew-Graham; Nadeem Qureshi; Stephen F Weng; Tim Holt; Iain Buchan; Niels Peek; Sally Giles; David Reeves; Evangelos Kontopantelis Journal: Open Heart Date: 2021-04