Novel Risk Prediction Model Combining Chinese Visceral Adiposity Index and Age for Coronary Artery Disease in Postmenopausal Women with Hypertension

Background: Postmenopausal women with hypertension are at high risk for coronary artery disease (CAD), although standard risk indicators may not properly measure cardiovascular risk. The Chinese Visceral Adiposity Index (CVAI), an alternative index of visceral fat dysregulation, can predict cardiovascular events. This study examines the prediction power of a CVAI-age model for CAD in hypertensive postmenopausal women. Methods: This retrospective cross-sectional study examined 509 postmenopausal women with hypertension who underwent coronary imaging at the Fifth Affiliated Hospital of Xinjiang Medical University from January to December 2023. Demographics, clinical data, and lab tests were taken. Coronary artery disease (CAD) was defined as a ≥ 50% stenosis in one or more coronary arteries. This formula determined CVAI by gender. Multivariate logistic regression was used to examine the independent and combined effects of CVAI and age on CAD. ROC curves and AUCs were used to assess predictive performance. Results: Out of 509 individuals, 18.3% were diagnosed with CAD. Multivariate logistic regression analysis revealed that CVAI and age were independent predictors of CAD. The AUC for CVAI in predicting CAD was 0.715 (95% CI: 0.662–0.842, P < 0.001), with a cutoff of 60.5 years, 88.2% sensitivity, and 58.4% specificity. The CVAI and age model had the highest predictive accuracy, with an AUC of 0.806 (95% CI: 0.759–0.854, P < 0.001), 65.6% sensitivity, and 83.9% specificity. Conclusions: This study demonstrates that the unique CVAI-age combination can predict CAD risk in postmenopausal women with hypertension. It is also a cost-effective and straightforward technique for identifying at-risk individuals early on.