Relationship between cardiometabolic index and hyperuricemia in health examination population
10.3760/cma.j.cn115624-20230220-00105
- VernacularTitle:健康体检人群心脏代谢指数与高尿酸血症的相关性分析
- Author:
Fang LIU
1
;
Shaohui LIU
;
Ting ZHANG
;
Wei ZHOU
;
Wenbin TANG
Author Information
1. 中南大学湘雅医院健康管理中心，国家老年疾病临床医学研究中心（湘雅医院），长沙 410008
- Keywords:
Hyperuricemia;
Cardiometabolic index;
Health examination population;
Waist height ratio
- From:
Chinese Journal of Health Management
2023;17(4):259-265
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the relationship between cardiometabolic index (CMI) and hyperuricemia (HUA) in the health examination population.Methods:It was a cross-sectional study. A total of 21 720 individuals who received health examinations in Xiangya hospital, Central South University between 2020 and 2021 were recruited in this study. Multivariate logistic regression analysis was used to determine the independent correlation between CMI and HUA, and stratified analysis was applied to check whether there were population differences. Then the predictive value of CMI for hyperuricemia in the health examination population was evaluated with the area under the receiver operator characteristic (ROC) curve.Results:Among the 21 720 subjects, 4 418 (20.34%) were detected with HUA. In the HUA group, the body mass index (BMI), waist-to-hip ratio, CMI, total cholesterol, triglyceride, systolic blood pressure, diastolic blood pressure, fasting blood glucose, 2-hour postprandial blood glucose, and blood creatinine levels were all significantly higher than those in the normal uric acid group, while high-density lipoprotein and epidermal growth factor receptor (eGFR) were significantly lower (all P<0.05). Multiple logistic regression analysis showed that after adjusting for relevant factors, CMI was significantly positively correlated with HUA ( OR=1.16, 95% CI: 1.129-1.192); and with the increase of CMI, the risk of HUA increased gradually. Stratified analysis and interaction test according to gender, age, BMI, hypertension, abnormal blood glucose and glomerular filtration rate indicated that CMI was positively associated with the occurrence of HUA in all populations. Compared with that in people with abnormal blood glucose, the correlation between CMI and HUA was more obvious in people with normal blood glucose. The area under the ROC curve (AUC) for CMI to predict HUA was 0.723(95% CI: 0.715-0.731), with a specificity of 0.636 and a sensitivity of 0.698, and the cut-point was 0.693. Conclusion:There was a significant positive correlation between CMI and HUA in the health examination population, which has good predictive value for HUA.
