Association Between Cardiometabolic Index and Stroke: A Population- based Cross-sectional Study

Abstract

Background: Cardiometabolic Index (CMI) was associated with several risk factors for stroke; however, few studies assessed the role of CMI in stroke risk. Objective: This study aimed to assess the association between CMI and stroke in a population- based cross-sectional study. Methods: This study included 4445 general residents aged ≥40 years selected by multistage stratified random cluster sampling. CMI was calculated as the product of the ratio of waist circumference to height (WHtR) and the ratio of triglyceride levels to high-density lipoprotein cholesterol levels (TG/HDL-C). Participants were categorized according to CMI quartiles: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4). Multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between CMI and stroke. Results: A total of 4052 participants were included in the study, with an overall stroke prevalence of 7.2%. The prevalence of stroke increased with CMI quartiles, ranging from 4.4% to 9.2% (p for trend <0.001). Compared with Q1, stroke risk for Q2, Q3, and Q4 were 1.550-, 1.693-, and 1.704- fold, respectively. The area under the ROC curve (AUC) (95% CI) was 0.574 (0.558-0.589) for CMI, 0.627 (0.612-0.642) for WHtR, 0.556 (0.540-0.571) for TG/HDL-C. CMI was inferior to WHtR (p=0.0024), but CMI had a marginal advantage over TG/HDL-C (p<0.0001) in terms of its stroke discrimination ability. Conclusion: Although there was a strong and independent association between CMI and stroke in the general population, CMI had limited discriminating ability for stroke. Thus, new parameters should be developed.