Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database

BackgroundThe triglyceride-glucose (TyG) index is a marker for insulin resistance (IR) linked to diabetes complications and poor outcomes. Its connection to all-cause mortality in non-diabetic critically ill patients is unknown. This study aims to investigate the TyG index’s impact on mortality in t...

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Main Authors: Xi Li, Qiujin Lin, Dewen Zhang, Zhenhua Huang, Jinshi Yu, Jiaqi Zhao, Wenzhou Li, Wei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Medicine
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Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1558968/full
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author Xi Li
Qiujin Lin
Dewen Zhang
Zhenhua Huang
Jinshi Yu
Jiaqi Zhao
Wenzhou Li
Wei Liu
author_facet Xi Li
Qiujin Lin
Dewen Zhang
Zhenhua Huang
Jinshi Yu
Jiaqi Zhao
Wenzhou Li
Wei Liu
author_sort Xi Li
collection DOAJ
description BackgroundThe triglyceride-glucose (TyG) index is a marker for insulin resistance (IR) linked to diabetes complications and poor outcomes. Its connection to all-cause mortality in non-diabetic critically ill patients is unknown. This study aims to investigate the TyG index’s impact on mortality in this population, evaluating how IR affects their prognosis.MethodsThis study is retrospective observational research utilizing data from the eICU Collaborative Research Database. A total of 14,089 non-diabetic critically ill patients were included and categorized into three groups based on the TyG index measured on the first day of admission (T1, T2, and T3). Kaplan-Meier survival analysis was performed to compare the 28-day mortality rates among the different groups. Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Additionally, we conducted sensitivity analyses, subgroup analyses, and interaction analyses to assess the robustness of the results.ResultsDuring the observation period, 730 patients (5.18%) died in the ICU, while 1,178 patients (8.36%) died in the hospital. The 28-day ICU mortality rate and hospital mortality rate significantly increased with higher TyG index values (P < 0.001). Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Specifically, Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Furthermore, the analysis showed a nonlinear effect of the TyG index on mortality in non-diabetic critically ill patients, with a critical point at 9.94. While Below 9.94, ICU and hospital mortality rates rose with higher TyG index values. But above 9.94, mortality didn’t significantly increase despite further rises in the TyG index. Sensitivity and subgroup analyses confirmed the robustness of these results, and E-value analysis indicated strong resistance to unmeasured confounding factors.ConclusionThe TyG index demonstrates a significant positive correlation with all-cause mortality in non-diabetic critically ill patients, exhibiting a nonlinear relationship. Consequently, the TyG index serves as a crucial tool for identifying high-risk patients, thereby assisting clinicians in formulating more effective monitoring and intervention strategies.
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issn 2296-858X
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spelling doaj-art-7cd1e324d7164227bc1664cc5a0024182025-08-20T03:17:44ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-04-011210.3389/fmed.2025.15589681558968Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU databaseXi Li0Qiujin Lin1Dewen Zhang2Zhenhua Huang3Jinshi Yu4Jiaqi Zhao5Wenzhou Li6Wei Liu7Pharmacy Department, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, ChinaDepartment of Critical Care Medicine, Pengpai Memorial Hospital, Shanwei, ChinaDepartment of Pharmacy, Pengpai Memorial Hospital, Shanwei, ChinaDepartment of Emergency Medicine, Health Science Center, Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, ChinaPharmacy Department, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, ChinaPharmacy Department, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, ChinaShenzhen Baoan Women’s and Children’s Hospital, Shenzhen, ChinaDepartment of Emergency Medicine, The Huangpu People’s Hospital, Zhongshan, ChinaBackgroundThe triglyceride-glucose (TyG) index is a marker for insulin resistance (IR) linked to diabetes complications and poor outcomes. Its connection to all-cause mortality in non-diabetic critically ill patients is unknown. This study aims to investigate the TyG index’s impact on mortality in this population, evaluating how IR affects their prognosis.MethodsThis study is retrospective observational research utilizing data from the eICU Collaborative Research Database. A total of 14,089 non-diabetic critically ill patients were included and categorized into three groups based on the TyG index measured on the first day of admission (T1, T2, and T3). Kaplan-Meier survival analysis was performed to compare the 28-day mortality rates among the different groups. Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Additionally, we conducted sensitivity analyses, subgroup analyses, and interaction analyses to assess the robustness of the results.ResultsDuring the observation period, 730 patients (5.18%) died in the ICU, while 1,178 patients (8.36%) died in the hospital. The 28-day ICU mortality rate and hospital mortality rate significantly increased with higher TyG index values (P < 0.001). Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Specifically, Cox proportional hazards models were used to assess the relationship between the TyG index and 28-day mortality. Furthermore, the analysis showed a nonlinear effect of the TyG index on mortality in non-diabetic critically ill patients, with a critical point at 9.94. While Below 9.94, ICU and hospital mortality rates rose with higher TyG index values. But above 9.94, mortality didn’t significantly increase despite further rises in the TyG index. Sensitivity and subgroup analyses confirmed the robustness of these results, and E-value analysis indicated strong resistance to unmeasured confounding factors.ConclusionThe TyG index demonstrates a significant positive correlation with all-cause mortality in non-diabetic critically ill patients, exhibiting a nonlinear relationship. Consequently, the TyG index serves as a crucial tool for identifying high-risk patients, thereby assisting clinicians in formulating more effective monitoring and intervention strategies.https://www.frontiersin.org/articles/10.3389/fmed.2025.1558968/fulltriglyceride-glucose indexinsulin resistanceintensive care unitnon-diabetesall-cause mortalitynonlinear correlation
spellingShingle Xi Li
Qiujin Lin
Dewen Zhang
Zhenhua Huang
Jinshi Yu
Jiaqi Zhao
Wenzhou Li
Wei Liu
Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database
Frontiers in Medicine
triglyceride-glucose index
insulin resistance
intensive care unit
non-diabetes
all-cause mortality
nonlinear correlation
title Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database
title_full Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database
title_fullStr Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database
title_full_unstemmed Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database
title_short Triglyceride-glucose index and prognosis in non-diabetic critically ill patients: data from the eICU database
title_sort triglyceride glucose index and prognosis in non diabetic critically ill patients data from the eicu database
topic triglyceride-glucose index
insulin resistance
intensive care unit
non-diabetes
all-cause mortality
nonlinear correlation
url https://www.frontiersin.org/articles/10.3389/fmed.2025.1558968/full
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