Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases

TL;DR

This study shows that the triglyceride-glucose index is linked to higher mortality in patients with chronic respiratory diseases.

Contribution

The TyG index is identified as an independent predictor of mortality in chronic respiratory disease patients.

Findings

Higher TyG index correlates with increased all-cause mortality in CRD patients.

A nonlinear relationship between TyG index and mortality was observed.

Kaplan-Meier curves show worse survival outcomes for patients with higher TyG indexes.

Abstract

The consequences of chronic pulmonary illness are known to exacerbate in individuals with metabolic syndrome and insulin resistance. However, the relationship between triglyceride-glucose (TyG) index, a reliable alternative biomarker of metabolic dysfunction, and chronic respiratory diseases (CRDs) are inconclusive.

Our research involved a total of 7,819 adult individuals diagnosed with CRDs who participated in the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2018. To assess the correlation between the TyG index and survival rates, we employed multivariable weighted Cox regression analysis, smoothing curve fitting, survival curve analysis and subgroup analysis to investigate the relationship.

Higher TyG index among CRDs shown a substantial positive correlation with all-cause mortality after controlling for relevant confounders. The restricted cubic spline analysis showed a nonlinear relationship between the TyG score and all-cause mortality in CRDs. Patients with higher TyG indexes had a greater risk of all-cause mortality according to Kaplan-Meier survival curves.

The clinical relevance of the TyG index in predicting the life expectancy of individuals with CRDs is highlighted by our research. The TyG index can serve as a substitute biomarker for monitoring the wellbeing of the individuals with CRDs.

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