An observational study on the relationship between triglyceride glucose index and its derivatives and hyperuricemia and type 2 diabetes among healthcare professionals

Objective ：This study aims to investigate the relationship between hyperuricemia (HUA) and type 2 diabetes mellitus (T2DM) among healthcare workers and the triglyceride-glucose index (TyG) and its derivatives. Methods ：A retrospective study method was adopted, and data from 1,730 healthcare workers who underwent health examinations at the People's Hospital of Bozhou City, Anhui Province, from March 2023 to March 2024 were selected. The study collected general information and laboratory data, and performed body mass index (BMI), TyG, and TyG-BMI calculations, univariate and multivariate logistic regression analyses, and receiver operating characteristic (ROC) curve analyses. Results : Blood pressure, BMI, and metabolic indicators were higher in the HUA group and T2DM group than in the control group. TyG, TyG-BMI, and BMI were positively correlated with uric acid and fasting blood glucose levels. Multivariate logistic regression models showed that BMI had the strongest association with HUA. Healthcare workers in the highest quartile of BMI and TyG-BMI had a 4.755-fold and 4.565-fold higher risk of developing HUA, respectively. The OR value for TyG was the highest among the variables associated with T2DM. ROC analysis showed that TyG-BMI (AUC = 0.756) had better predictive ability for HUA than TyG (AUC = 0.728) and BMI (AUC = 0.744). TyG (AUC = 0.825) demonstrated better predictive ability for T2DM than TyG-BMI (AUC = 0.787) and BMI (AUC = 0.714). Conclusion : BMI has the strongest correlation with HUA among healthcare workers. TyG-BMI may demonstrate the most outstanding predictive ability when predicting HUA among healthcare workers. TyG may be the best indicator for predicting T2DM among healthcare workers, providing a practical tool for early identification and intervention of HUA risk.