Correlation between triglyceride glucose index and hyperuricemia in the population undergoing physical examination
10.3760/cma.j.cn115624-20240401-00252
- VernacularTitle:健康体检人群甘油三酯葡萄糖指数与高尿酸血症的相关性
- Author:
Wenbin TANG
1
;
Ting ZHANG
1
;
Fang LIU
1
;
Yang LUO
1
;
Baoxiang WANG
1
Author Information
1. 中南大学湘雅医院健康管理中心，长沙 410008
- Publication Type:Journal Article
- Keywords:
Hyperuricemia;
Triglycerides;
Glucose;
Prediction;
Physical examination
- From:
Chinese Journal of Health Management
2025;19(1):51-56
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation between triglyceride glucose index (TyGI) and hyperuricemia (HUA) in theindividuals undergoing physical examinations.Methods:It was a cross-sectional study. A total of 21 720 individuals who underwent health examinations at the Health Management Center of Xiangya Hospital, Central South University from October 2020 to March 2021 were selected as the research subjects. Based on whether uric acid levels exceeded the normal range, the participants were divided into a HUA group and a control group (normal uric acid group). The independent correlation between TyGI and HUA was determined with multiple logistic regression analysis, and stratified analysis was conducted to investigate population differences in the correlation. And finally, a further evaluation was conducted to determine whether there was a nonlinear relationship between TyGI and HUA through smooth curve fitting and threshold saturation effect analysis.Results:The TyGI in the HUA group was significantly higher than that in the control group ( t=-41.787, P<0.001). After adjusting for relevant factors, the multiple logistic regression analysis showed that there was a significant positive correlation between TyGI and risk of HUA ( OR=1.755, 95% CI: 1.632-1.887); and as TyGI increased, the risk of HUA gradually increased. Stratified analysis and interaction tests were conducted based on age, gender, body mass index, blood glucose abnormalities, hypertension, and estimated glomerular filtration rate (eGFR), it′s indicated that TyGI was positively correlated with the risk of HUA in various populations except for in the individuals with a eGFR less than 60 ml·min -1·(1.73 m 2) -1 and in females (all P>0.05). The smooth curve fitting between TyGI and HUA suggested that as TyGI increased, the risk of HUA tended to increase. However, when TyGI reached a certain threshold, the risk of HUA no longer increased. Further analysis of threshold saturation effects suggested that the inflection point of TyGI was 9.871. Conclusion:The correlation between TyGI and HUA in the population undergoing health examinations is nonlinear.
