Coronary Artery Disease among Type-II Diabetic Patient in Bangladesh

This study aimed to evaluate the relationship between microalbuminuria and the angiographic severity of CAD patients with type 2 diabetes by SYNTAX I, SYNTAX II, and Gensini scores. Diabetes mellitus is one of the strongest risk factors for coronary artery disease, so it is imperative to identify CAD in diabetic patients as soon as feasible. In this study, 82 patients with type II diabetes who had a suspected case of coronary artery disease (CAD) had elective coronary angiography. The urine albumin-creatinine ratio (UACR) was measured for each patient, and the severity of each patient's CAD was assessed using the Gensini, SYNTAX, and SYNTAX II scores. In the studied population, there were 26 (31.7%) females and 56 (68.3%) males. On average, they were 56.29 + 9.18 years old. Patients were categorized into two groups based on their UACR level: group 1 consisted of 41 patients whose UACR was less than 30 mg/g, and group 2 consisted of 41 patients whose UACR was greater than or equal to 30 mg/g. The study found that patients in group 2 had significantly higher SYNTAX scores (P=0.001) and significantly higher Gensini scores (P=0.001) than patients in group 1. Age and the length of UACR and DM showed a positive correlation (p=0.003), as did hypertension (HTN) and the length of UACR and DM (p=0.049). Microalbuminuria can be used to predict the severity and presence of CAD in type II diabetes. Keywords: Gensini score, SYNTAX score, microalbuminuria, diabetes, and coronary artery disease.