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 > 5 years (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 > 96 cm (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.

Original languageEnglish
Pages (from-to)S33-S37
JournalDiabetes and Metabolic Syndrome: Clinical Research and Reviews
Volume11
DOIs
Publication statusPublished - 01-11-2017

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All Science Journal Classification (ASJC) codes

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism

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