Research on the Development of a Risk Model for Coronary Heart Disease in Postmenopausal Hypertensive Women Based on the Triglyceride Glucose Index Combined with Vascular Elasticity Indicators

Background Postmenopausal women with hypertension are susceptible to coronary heart disease (CHD), and their prevalence and mortality of CHD are significantly higher than those before menopause. Based on the team's previous research, this study further combined with glucose and lipid metabolism, vascular elasticity and other related indicators to diagnose CHD in postmenopausal women with hypertension, in order to provide new ideas for clinical identification of CHD risk in postmenopausal women with hypertension. Objective To explore the correlation and predictive value of triglyceride glucose (TyG) index, ankle-brachial index (ABI), brachial-ankle pulse wave velocity (baPWV), pulse pressure index (PPI) and arteriosclerosis index (AI) in postmenopausal women with hypertension. Methods From January 2019 to December 2022, this study selected postmenopausal women with hypertension who underwent coronary angiography for the first time in the Department of Integrative Cardiology of China-Japan Friendship Hospital, and divided them into CHD group and non-CHD group according to the results of coronary angiography. The clinical data such as TyG index, ABI, baPWV, PPI, AI were collected at the time of admission. Multivariate Logistic regression analysis was used to construct a CHD risk prediction model for postmenopausal women with hypertension, and a nomogram was drawn. Calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the diagnostic efficiency. Results In this study, 300 postmenopausal women with hypertension who underwent coronary angiography for the first time were included, including 141 cases in non-CHD group and 159 cases in CHD group. Multivariate Logistic regression analysis showed that ABI, baPWV, TyG index, PPI and AI were the influencing factors of CHD in postmenopausal women with hypertension (P<0.05), and a nomogram was drawn according to which. The ROC curve analysis results showed that area under the curve (AUC) for ABI, baPWV, TyG index, PPI, AI and joint predictive model were 0.662, 0.687, 0.659, 0.700, 0.612 and 0.808, the sensitivity and specificity of the predictive model were 0.780 6 and 0.741 0, respectively. The calibration curve showed that the predicted results were in good agreement with the actual results. The decision curve analysis showed that the nomogram has good clinical value. Conclusion ABI, baPWV, TyG index, PPI and AI are independent influencing factors for the occurrence of CHD in postmenopausal women with hypertension. The newly developed model can better predict the risk of CHD.