Association of cardiometabolic index with severity of coronary artery stenosis and prognosis in patients with acute myocardial infarction
10.3760/cma.j.cn311282-20231228-00234
- VernacularTitle:心脏代谢指数与急性心肌梗死患者冠状动脉病变程度及预后的临床研究
- Author:
Kaiyang WANG
1
;
Hongmei LAI
;
Jing TAO
;
Jiahui YONG
;
Guoqing LI
;
Yining YANG
Author Information
1. 新疆维吾尔自治区人民医院心内科，新疆心脏血管稳态与再生医学研究重点实验室，乌鲁木齐 830000
- Keywords:
Cardiometabolic index;
Visceral obesity;
Acute myocardial infarction;
Gensini score;
Prognosis
- From:
Chinese Journal of Endocrinology and Metabolism
2024;40(8):647-653
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation between cardiometabolic index(CMI) and the severity of coronary artery stenosis and long-term prognosis in patients with acute myocardial infarction(AMI).Methods:A total of 712 patients with AMI who were admitted to the Xinjiang Uygur Autonomous Region People′s Hospital from January 2018 to December 2019 were included as the subjects. According to the tertile of CMI, the subjects were divided into high, medium, and low value groups. Gensini score was used to quantitatively assess the degree of coronary artery stenosis. The endpoint event was defined as the occurrence of major cardiovascular adverse events(MACEs). Spearman correlation analysis was conduceted to explore the correlation between CMI and Gensini score. Multivariate Cox regression was utilized to analyze the independent influencing factors of MACEs. A restricted cubic spline plot was employed to analyze the nonlinear relationship between CMI and the risk of MACEs. Kaplan- Meier curve was used to analyze survival differences between groups. Subgroup analysis was performed to evaluate the consistency of the predictive value of CMI for MACEs. Results:Spearman correlation analysis showed that CMI was positively correlated with Gensini score( r=0.13, P<0.001). After adjusting for confounding, multivariate Cox regression analysis showed that CMI was an independent risk factor for MACEs( HR=1.709, 95% CI 1.052-2.778, P=0.031). The restricted cubic spline analysis revealed an L-shaped nonlinear effect relationship between CMI and MACEs risk( P=0.024). Kaplan- Meier survival curve analysis demonstrated that the cumulative incidence of MACEs in AMI patients increased significantly with the increase of CMI( P<0.05). Subgroup analysis indicated that CMI independently predicted the occurrence of MACEs across different subgroups, and had higher predictive value in patients with normal lipids and normal body weight. Conclusion:CMI is closely associated with the severity of coronary stenosis in AMI patients, and is an independent predictor of the risk of long-term MACEs.
