The predictive value of surrogate insulin resistance indices for T2DM complicated with metabolic syndrome: a retrospective study based on hospitalized patients in China - PubMed
3 hours ago
- #metabolic syndrome
- #type 2 diabetes
- #insulin resistance
- The study evaluates surrogate insulin resistance indices (TyG index, TyG-BMI index, TG/HDL-C ratio) for predicting metabolic syndrome (MetS) in type 2 diabetes mellitus (T2DM) patients.
- A retrospective study of 2409 T2DM patients divided into T2DM-MetS (n=1,787) and T2DM-only (n=622) groups was conducted.
- Logistic regression identified Sex, WHR, FCP, 2hCP, TyG index, TyG-BMI index, and TG/HDL-C ratio as risk factors for T2DM with MetS.
- The TG/HDL-C ratio showed the highest predictive value (AUC=0.915) compared to TyG index (AUC=0.809) and TyG-BMI index (AUC=0.807).
- A nomogram prediction model using TG/HDL-C ratio, Sex, WHR, and FCP demonstrated strong predictive performance (C-index=0.922).
- The model showed good calibration and clinical utility, with a maximum net benefit rate of 0.742 in decision curve analysis.
- The study concludes that the TG/HDL-C ratio is the optimal predictor for T2DM complicated with MetS, aiding early identification and prevention.