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

ObjectiveThe 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 disease...

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Main Authors: Hongyu Lu, Jibo Li, Xinlong Liu, Pan Jiang, Yongwen Feng, Changshan Wang, Feng Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Pharmacology
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Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1474265/full
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author Hongyu Lu
Jibo Li
Xinlong Liu
Pan Jiang
Yongwen Feng
Changshan Wang
Feng Xu
author_facet Hongyu Lu
Jibo Li
Xinlong Liu
Pan Jiang
Yongwen Feng
Changshan Wang
Feng Xu
author_sort Hongyu Lu
collection DOAJ
description ObjectiveThe 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.Research design and methodsOur 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.ResultsHigher 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.ConclusionThe 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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publisher Frontiers Media S.A.
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spelling doaj-art-dd0d09bd56b541bea2abc017f88ae1ad2025-08-20T02:15:17ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-05-011610.3389/fphar.2025.14742651474265Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseasesHongyu Lu0Jibo Li1Xinlong Liu2Pan Jiang3Yongwen Feng4Changshan Wang5Feng Xu6Department of Intensive Care Unit, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaDepartment of Intensive Care Unit, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaDepartment of Intensive Care Unit, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaDepartment of Stomatology, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaDepartment of Intensive Care Unit, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaInstitutes for Translational Medicine, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaDepartment of Intensive Care Unit, Shenzhen Guangming District People’s Hospital, Shenzhen, Guangdong, ChinaObjectiveThe 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.Research design and methodsOur 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.ResultsHigher 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.ConclusionThe 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.https://www.frontiersin.org/articles/10.3389/fphar.2025.1474265/fulltriglyceride-glucose indexmortalitychronic respiratory diseasesNHANESrisk prediction
spellingShingle Hongyu Lu
Jibo Li
Xinlong Liu
Pan Jiang
Yongwen Feng
Changshan Wang
Feng Xu
Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
Frontiers in Pharmacology
triglyceride-glucose index
mortality
chronic respiratory diseases
NHANES
risk prediction
title Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
title_full Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
title_fullStr Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
title_full_unstemmed Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
title_short Triglyceride-glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
title_sort triglyceride glucose index as an independent predictor of mortality in patients with chronic respiratory diseases
topic triglyceride-glucose index
mortality
chronic respiratory diseases
NHANES
risk prediction
url https://www.frontiersin.org/articles/10.3389/fphar.2025.1474265/full
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AT panjiang triglycerideglucoseindexasanindependentpredictorofmortalityinpatientswithchronicrespiratorydiseases
AT yongwenfeng triglycerideglucoseindexasanindependentpredictorofmortalityinpatientswithchronicrespiratorydiseases
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