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Association of Triglyceride-Glucose-Related Obesity Indices With All-Cause and Cardiovascular Mortality Among

Yong Huang1, Ziling Wei2, Linfeng Wang1

  • 1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Journal of the American Nutrition Association
|March 20, 2025
PubMed

Insights

Triglyceride-glucose (TyG)-related obesity indices predict mortality in hyperuricemia (HUA) patients. TyG-ABSI shows strong predictive ability for all-cause and cardiovascular mortality in HUA individuals.

Area of Science:

  • Metabolic Syndrome Research
  • Cardiovascular Epidemiology
  • Obesity Studies

Background:

  • Hyperuricemia (HUA) is linked to metabolic disorders and increased mortality risk.
  • Triglyceride-glucose (TyG) index is a marker of insulin resistance and metabolic dysfunction.
  • Obesity indices derived from TyG may offer insights into mortality risk in HUA patients.

Purpose of the Study:

  • To investigate the association between TyG-related obesity indices and all-cause and cardiovascular mortality in patients with HUA.
  • To identify the most predictive TyG-related obesity index for mortality outcomes.
  • To explore the relationship's nature (linear/nonlinear) and potential mediating factors.

Main Methods:

  • Analysis of 4207 HUA patients from the NHANES database.
  • Application of weighted multivariate-adjusted Cox regression, Kaplan-Meier curves, and restricted cubic splines.
  • Utilized receiver operating characteristic (ROC) curves and threshold analysis for predictive assessment.

Main Results:

  • Nonlinear association between TyG-related obesity indices and all-cause mortality; linear positive association with cardiovascular mortality.
  • TyG-ABSI demonstrated the strongest predictive power for both mortality outcomes.
  • Serum uric acid partially mediated the association between TyG-derived indices and mortality.

Conclusions:

  • TyG-ABSI is a potent predictor of all-cause and cardiovascular mortality in HUA patients.
  • This index may serve as a valuable biomarker for long-term monitoring of HUA individuals.
  • Understanding these relationships can inform clinical risk stratification and management strategies.
Abstract

Keywords:
Triglyceride-glucose indexanthropometric measurecohort studyhyperuricemiamortality

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