TYG-BMI demonstrates modestly higher predictive value compared to TYG and TYG/HDL for cardiovascular disease

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Xiaoxiao Chen1, Luni Guo2, Zongliang Yu3

  • 1Department of Cardiology, The First People's Hospital of Kunshan Affiliated to Jiangsu University, Kunshan, China.

Diabetology & Metabolic Syndrome
|June 13, 2026
PubMed

Insights

The triglyceride-glucose Body Mass Index (TyG-BMI) effectively predicts cardiovascular disease (CVD) risk, outperforming other related indices. This finding offers a valuable tool for clinicians in assessing CVD incidence, particularly in diverse patient subgroups.

Area of Science:

  • Cardiology
  • Metabolic Syndrome
  • Epidemiology

Background:

  • Cardiovascular disease (CVD) is a significant global health concern.
  • The triglyceride-glucose (TyG) index and its derivatives are recognized indicators of insulin resistance (IR) and are linked to CVD incidence.
  • Understanding predictive markers for CVD is crucial for early intervention and risk stratification.

Purpose of the Study:

  • To compare the predictive capabilities of various TyG-related indices for incident CVD.
  • To assess the performance of the TyG-BMI across diverse demographic and clinical subgroups.
  • To investigate potential interaction effects influencing CVD risk prediction.

Main Methods:

  • Secondary analysis of data from the China Health and Retirement Longitudinal Study (CHARLS) involving 5,382 participants aged 45+.
  • Utilized Kaplan-Meier analysis, ROC curves, and Cox proportional hazards regression to assess associations between TyG indices and CVD incidence.
  • Conducted subgroup analyses and restricted cubic spline (RCS) analysis to evaluate TyG-BMI predictive performance and relationship linearity.

Main Results:

  • The highest quartile of TyG-BMI was significantly associated with an increased CVD risk (HR: 1.60, 95% CI: 1.33-1.99).
  • This association remained consistent across various subgroups, including those with hypertension, diabetes, and kidney disease.
  • A significant positive interaction was observed between kidney disease and TyG-BMI in predicting CVD.

Conclusions:

  • The TyG-BMI shows superior predictive value for CVD incidence compared to other TyG-related indices.
  • TyG-BMI is a valuable clinical tool for assessing CVD risk.
  • The findings highlight the importance of considering TyG-BMI in risk assessment, especially in patients with comorbidities like kidney disease.
Abstract

Keywords:
Cardiovascular diseaseInsulin resistanceTriglyceride‒density lipoprotein cholesterol ratioTriglyceride‒glucose indexTriglyceride‒glucose‒body mass index

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