Nonlinear association between triglyceride-glucose index and 28-day mortality in intensive care units: a multi-center retrospective cohort study

This study establishes the TyG index as an independent predictor of 28-day all-cause mortality in critically ill patients, highlighting its potential value in clinical management and risk assessment. By recognizing the non-linear effect of the TyG index, clinicians can more effectively adjust treatment strategies to reduce mortality among high-risk patients.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2025-04-29
DOI
https://doi.org/10.3389/fendo.2025.1545478
Citations
1
Primary Topic
Hyperglycemia and glycemic control in critically ill and hospitalized patients
Type
article
Field-Weighted Citation Impact
1.29

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article

Nonlinear association between triglyceride-glucose index and 28-day mortality in intensive care units: a multi-center retrospective cohort study

Xiaoàn Yang, J Wang, Lintao Zhong, Weidong Chen et al.
1 citations
Frontiers in Endocrinology
Hyperglycemia and glycemic control in critically ill and hospitalized patients
1.29
article

Nonlinear association between triglyceride-glucose index and 28-day mortality in intensive care units: a multi-center retrospective cohort study

Xiaoàn Yang, J Wang, Lintao Zhong, Weidong Chen, Bo Li, Qi Wang
article en
1 citations

Abstract

This study establishes the TyG index as an independent predictor of 28-day all-cause mortality in critically ill patients, highlighting its potential value in clinical management and risk assessment. By recognizing the non-linear effect of the TyG index, clinicians can more effectively adjust treatment strategies to reduce mortality among high-risk patients.

Frontiers in EndocrinologyVol. 16
Sun Yat-sen University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Third Affiliated Hospital of Sun Yat-sen University (CN)
National Institutes of Natural Sciences
Good health and well-being
Openalex Percentile: Top 20%
Hyperglycemia and glycemic control in critically ill and hospitalized patients
1.29
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