Work

Association Between TyG ‐ BMI Index and Hyperuricemia in Adult Women

Year: 2025

Type: article

Abstract: PURPOSE: This study aimed to explore the relationship between hyperuricemia (HUA), the triglyceride-glucose index (TyG) and its derivatives in adult women. METHODS: A cross-sectional analysis was conducted on 1105 female patients from Shanghai Tenth People's Hospital. Participants were divided into HUA (n = 331) and non-HUA (n = 774) groups. Clinical and laboratory data were collected, and indices such as body mass index (BMI), TyG and TyG-BMI were calculated. Statistical analyses included univariate and multivariate logistic regression and receiver operating characteristic (ROC) curve analysis. RESULTS: The HUA group showed higher BMI, blood pressure and metabolic parameters. TyG, TyG-BMI and BMI were positively correlated with uric acid levels. ROC analysis revealed that TyG-BMI (AUC = 0.877) had better predictive power for HUA than TyG (AUC = 0.829) or BMI (AUC = 0.867). Multivariate analysis showed TyG-BMI and BMI as independent predictors, with women in the highest quartiles having a 3.111-fold and 2.779-fold higher risk for HUA, respectively. CONCLUSION: TyG-BMI is the most effective predictor of HUA in women, surpassing TyG and BMI alone. It offers a practical tool for early identification and intervention in women at risk of HUA.

Source: Endocrinology Diabetes & Metabolism

DOI: 10.1002/edm2.70028