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Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients

BACKGROUND: Triglyceride-glucose (TyG) index as a reliable surrogate of insulin resistance (IR) has been shown to be related to adverse clinical outcomes in patients with acute coronary syndrome, heart failure, ischemic stroke and so on. However, the relationship between TyG index and all-cause mort...

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Autores principales: Liao, Ying, Zhang, Rongting, Shi, Shanshan, Zhao, Yukun, He, Yibo, Liao, Lihua, Lin, Xueqin, Guo, Qian, Wang, Yani, Chen, Liling, Li, Weiguo, Li, Shihai, Chen, Kaihong, Fang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270811/
https://www.ncbi.nlm.nih.gov/pubmed/35804386
http://dx.doi.org/10.1186/s12933-022-01563-z
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author Liao, Ying
Zhang, Rongting
Shi, Shanshan
Zhao, Yukun
He, Yibo
Liao, Lihua
Lin, Xueqin
Guo, Qian
Wang, Yani
Chen, Liling
Li, Weiguo
Li, Shihai
Chen, Kaihong
Fang, Yong
author_facet Liao, Ying
Zhang, Rongting
Shi, Shanshan
Zhao, Yukun
He, Yibo
Liao, Lihua
Lin, Xueqin
Guo, Qian
Wang, Yani
Chen, Liling
Li, Weiguo
Li, Shihai
Chen, Kaihong
Fang, Yong
author_sort Liao, Ying
collection PubMed
description BACKGROUND: Triglyceride-glucose (TyG) index as a reliable surrogate of insulin resistance (IR) has been shown to be related to adverse clinical outcomes in patients with acute coronary syndrome, heart failure, ischemic stroke and so on. However, the relationship between TyG index and all-cause mortality in intensive care unit (ICU) patients remains unknown. The purpose of this study was to investigate the correlation between TyG index and all-cause mortality to evaluate the impact of IR on the prognosis of this population. METHODS: This was a retrospective observational study that included 3026 patients who had an initial triglyceride and glucose data on the first day of ICU admission, and all data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. These patients were grouped into quartiles (Q1–Q4) according to TyG index. The Kaplan–Meier analysis was used to compare all-cause mortality among the above four groups. Cox proportional hazards analyses were performed to examine the association between TyG index and all-cause mortality. RESULTS: During 10.46 years of follow-up, 1148 (37.9%) patients died, of which 350 (11.6%) occurred during the hospital stay and 258 (8.5%) occurred during the ICU stay. Kaplan–Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with higher TyG index (log-rank P = 0.021). Multivariable Cox proportional hazards analyses showed that the TyG index was an independent risk predictor of ICU death (HR: 1.72, 95% CI 1.18–2.52, P = 0.005) and hospital death (HR: 2.19, 95% CI 1.59–3.03, P < 0.001), and each 1-unit increased in the TyG index, a 1.19-fold increase in the risk of death during the hospital stay. CONCLUSIONS: TyG index is strongly related to the all-cause mortality increasing in critically ill patients. This finding indicates that the TyG index might be useful in identifying people at high risk of ICU death and hospital death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01563-z.
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spelling pubmed-92708112022-07-10 Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients Liao, Ying Zhang, Rongting Shi, Shanshan Zhao, Yukun He, Yibo Liao, Lihua Lin, Xueqin Guo, Qian Wang, Yani Chen, Liling Li, Weiguo Li, Shihai Chen, Kaihong Fang, Yong Cardiovasc Diabetol Research BACKGROUND: Triglyceride-glucose (TyG) index as a reliable surrogate of insulin resistance (IR) has been shown to be related to adverse clinical outcomes in patients with acute coronary syndrome, heart failure, ischemic stroke and so on. However, the relationship between TyG index and all-cause mortality in intensive care unit (ICU) patients remains unknown. The purpose of this study was to investigate the correlation between TyG index and all-cause mortality to evaluate the impact of IR on the prognosis of this population. METHODS: This was a retrospective observational study that included 3026 patients who had an initial triglyceride and glucose data on the first day of ICU admission, and all data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. These patients were grouped into quartiles (Q1–Q4) according to TyG index. The Kaplan–Meier analysis was used to compare all-cause mortality among the above four groups. Cox proportional hazards analyses were performed to examine the association between TyG index and all-cause mortality. RESULTS: During 10.46 years of follow-up, 1148 (37.9%) patients died, of which 350 (11.6%) occurred during the hospital stay and 258 (8.5%) occurred during the ICU stay. Kaplan–Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with higher TyG index (log-rank P = 0.021). Multivariable Cox proportional hazards analyses showed that the TyG index was an independent risk predictor of ICU death (HR: 1.72, 95% CI 1.18–2.52, P = 0.005) and hospital death (HR: 2.19, 95% CI 1.59–3.03, P < 0.001), and each 1-unit increased in the TyG index, a 1.19-fold increase in the risk of death during the hospital stay. CONCLUSIONS: TyG index is strongly related to the all-cause mortality increasing in critically ill patients. This finding indicates that the TyG index might be useful in identifying people at high risk of ICU death and hospital death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01563-z. BioMed Central 2022-07-08 /pmc/articles/PMC9270811/ /pubmed/35804386 http://dx.doi.org/10.1186/s12933-022-01563-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liao, Ying
Zhang, Rongting
Shi, Shanshan
Zhao, Yukun
He, Yibo
Liao, Lihua
Lin, Xueqin
Guo, Qian
Wang, Yani
Chen, Liling
Li, Weiguo
Li, Shihai
Chen, Kaihong
Fang, Yong
Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
title Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
title_full Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
title_fullStr Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
title_full_unstemmed Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
title_short Triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
title_sort triglyceride-glucose index linked to all-cause mortality in critically ill patients: a cohort of 3026 patients
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9270811/
https://www.ncbi.nlm.nih.gov/pubmed/35804386
http://dx.doi.org/10.1186/s12933-022-01563-z
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