The Journal of Practical Medicine ›› 2025, Vol. 41 ›› Issue (8): 1192-1198.doi: 10.3969/j.issn.1006-5725.2025.08.015

• Clinical Research • Previous Articles    

The comparative study of TyG and TyG⁃BMI index with occurrence of hyperuricemia in physical examination population

Qian NIE1,Xuemei ZHANG2,Zhihua HAO3,Ruolin XIE1,Huanxin LIU1,Xiaoqian WU1,Luping. REN4   

  1. Physical Examination Center of Hebei General Hospital,Shijiazhuang 050051,Hebei,China.
  • Received:2024-12-01 Online:2025-04-25 Published:2025-04-30

Abstract:

Objective To investigate the predictive capacity of the Triglyceride-Glucose (TyG) index and the Triglyceride-Glucose-Body Mass Index (TyG-BMI) for the development of hyperuricemia (HUA) in a health examination population, and to identify suitable indicators as risk assessment tools for HUA. Methods This study ultimately included 12 004 participants from a health examination cohort. According to SUA levels, the participants were categorized into a normal group (n = 9 952) and a hyperuricemia (HUA) group (n = 2 052). The TyG index and TyG-BMI index were calculated, and participants were further stratified into four groups (Q1—Q4) based on the quartiles of these indices. Binary logistic regression analysis was performed to assess the association between TyG, TyG-BMI, and HUA. The predictive value of TyG, TyG-BMI, and their combination for HUA was evaluated using Receiver Operating Characteristic (ROC) curves and the Area Under the Curve (AUC). Subgroup analyses were carried out by gender and age. Results The TyG and TyG-BMI indices were significantly elevated in the HUA group compared to the normal group. The prevalence of HUA was markedly higher in the TyG-Q4 and TyG-BMI-Q4 groups than in the other three corresponding quartile groups. Binary logistic regression analysis revealed a positive association between TyG, TyG-BMI levels, and the risk of HUA. The AUC values for predicting HUA using TyG, TyG-BMI, and their combination were 0.700, 0.747, and 0.822, respectively. Specifically, for males, the AUC values were 0.641, 0.674, and 0.709, respectively, whereas for females, they were 0.742, 0.776, and 0.829, respectively. Among individuals younger than 60 years old, the AUC values were 0.716, 0.759, and 0.835, respectively, while for those aged 60 years or older, the values were 0.614, 0.645, and 0.731, respectively. Conclusions TyG and TyG-BMI are significantly associated with the risk of HUA. Specifically, TyG-BMI demonstrates superior predictive performance compared to TyG alone. Moreover, the combination of TyG and TyG-BMI further improves predictive accuracy, particularly among female and middle-aged or younger populations.

Key words: TyG, TyG-BMI, hyperuricemia, insulin resistance, disease risk

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