LAUSR

INTRODUCTION Adiposity has a few phenotypes with various risks for diabetes (DM), but their exact predictive value is not well understood. OBJECTIVES We aimed to assess the predictive values of anthropometric parameters, vascular ultrasound indexes, and fat depots for long-term cardiometabolic risk. PATIENTS AND METHODS Patients (n = 150) with a chronic coronary syndrome (CCS) scheduled for elective coronary angiography were enrolled with comprehensive clinical and ultrasound assessment of adiposity (2012-2013). A total of 143 patients were followed for 8 years for insulin resistance (IR) and/or DM cases. RESULTS At baseline, DM and prediabetes (preDM) were found in 22% and 8% of patients, respectively. It was established that 11.7% of patients died during the follow-up period. At the same time, the rate of DM increased to 46% of cases with a decrease in preDM (3.5%). Significant correlations with HOMA-IR and HbA1c were observed for major anthropometric and ultrasound variables. In the multivariable analysis, independent predictors for IR were preperitoneal fat thickness (PreFT) (per 10 mm increase - OR 1.63, 95% CI 1.22-2.33, P = 0.003) and body surface area (per 0.1 m2 increase - OR 1.59, 95% CI 1.11-2.39, P = 0.02). In turn, DM was independently predicted by high-density lipoprotein cholesterol (HDL-C) concentration (OR 0.93, 95% CI 0.87-0.97, P = 0.005) and body fat mass (OR 1.09, 95% CI 1.03-1.17, P = 0.003). CONCLUSIONS The complex assessment of the adipose tissue in patients with CCS represents a valuable method for improving metabolic risk stratification. Particular anthropometric and ultrasound parameters such as PreFT or body surface area were associated with IR and DM development.