医学
心肌梗塞
心脏病学
内科学
索引(排版)
体质指数
万维网
计算机科学
作者
Juan Zhang,Jing Jiang,Jieqiong Zhao,Kangli Chen,Pingnian Yuan,Yang Wang,Huan Zhang
出处
期刊:
日期:2025-02-07
卷期号:80 (2): 163-172
被引量:5
标识
DOI:10.1080/00015385.2025.2460404
摘要
BACKGROUND: The cardiometabolic index (CMI) combines abdominal obesity and abnormal blood lipid indices, representing a good predictive indicator of risk in cardiovascular diseases (CVDs). However, the association between CMI and myocardial infarction (MI) is not clear. OBJECTIVE: The present project was designed to explore the linkage between CMI and MI. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 were employed in this project, with CMI as the independent variable and MI as the dependent variable. Weighted logistic regression was applied in the association analysis between CMI and MI. Restricted cubic spline (RCS), subgroup analysis, and interaction tests were employed to elucidate the non-linear relationship and stability of CMI and MI's link. Moreover, to verify the robustness of the results, sensitivity analysis was conducted, with the MI status of subjects taking lipid-lowering drugs as the outcome variable. RESULTS: < 0.01) between CMI and MI in the population taking lipid-lowering drugs. CONCLUSION: , and those who have drinking habits. Even after considering the impact of lipid-lowering drug therapy, the positive correlation between CMI and MI remains robust, supporting CMI as a promising tool for assessing MI risk and guiding clinical prevention. Further research is required to probe into the application of CMI in different populations and its role in the prevention of CVDs.
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