Cargando…
Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database
BACKGROUND: The triglyceride-glucose (TyG) index was significantly associated with insulin resistance (IR). Several studies have validated the effect of TyG index on cerebrovascular disease. However, the value of TyG index in patients with severe stroke requiring ICU admission remains unclear. The a...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262584/ https://www.ncbi.nlm.nih.gov/pubmed/37312120 http://dx.doi.org/10.1186/s12933-023-01864-x |
_version_ | 1785058081845018624 |
---|---|
author | Cai, Weimin Xu, Jun Wu, Xiao Chen, Zhuoyan Zeng, Liuwei Song, Xian Zeng, Yuan Yu, Fujun |
author_facet | Cai, Weimin Xu, Jun Wu, Xiao Chen, Zhuoyan Zeng, Liuwei Song, Xian Zeng, Yuan Yu, Fujun |
author_sort | Cai, Weimin |
collection | PubMed |
description | BACKGROUND: The triglyceride-glucose (TyG) index was significantly associated with insulin resistance (IR). Several studies have validated the effect of TyG index on cerebrovascular disease. However, the value of TyG index in patients with severe stroke requiring ICU admission remains unclear. The aim of this study was to investigate the association between the TyG index and clinical prognosis of critically ill patients with ischemic stroke (IS). METHODS: This study identified patients with severe IS requiring ICU admission from the Medical Information Mart for Intensive Care (MIMIC-IV) database, and divided them into quartiles based on TyG index level. The outcomes included in-hospital mortality and ICU mortality. The association between the TyG index and clinical outcomes in critically ill patients with IS was elucidated using Cox proportional hazards regression analysis and restricted cubic splines. RESULTS: A total of 733 patients (55.8% male) were enrolled. The hospital mortality and intensive care unit (ICU) mortality reached 19.0% and 14.9%, respectively. Multivariate Cox proportional hazards analysis showed that the elevated TyG index was significantly related to all-cause death. After confounders adjusting, patients with an elevated TyG index had a significant association with hospital mortality (adjusted hazard ratio, 1.371; 95% confidence interval, 1.053–1.784; P = 0.013) and ICU mortality (adjusted hazard ratio, 1.653; 95% confidence interval, 1.244–2.197; P = 0.001). Restricted cubic splines revealed that a progressively increasing risk of all-cause mortality was related to an elevated TyG index. CONCLUSION: The TyG index has a significant association with hospital and ICU all-cause death in critically ill patients with IS. This finding demonstrates that the TyG index might be useful in identifying patients with IS at high risk of all-cause death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01864-x. |
format | Online Article Text |
id | pubmed-10262584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102625842023-06-15 Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database Cai, Weimin Xu, Jun Wu, Xiao Chen, Zhuoyan Zeng, Liuwei Song, Xian Zeng, Yuan Yu, Fujun Cardiovasc Diabetol Research BACKGROUND: The triglyceride-glucose (TyG) index was significantly associated with insulin resistance (IR). Several studies have validated the effect of TyG index on cerebrovascular disease. However, the value of TyG index in patients with severe stroke requiring ICU admission remains unclear. The aim of this study was to investigate the association between the TyG index and clinical prognosis of critically ill patients with ischemic stroke (IS). METHODS: This study identified patients with severe IS requiring ICU admission from the Medical Information Mart for Intensive Care (MIMIC-IV) database, and divided them into quartiles based on TyG index level. The outcomes included in-hospital mortality and ICU mortality. The association between the TyG index and clinical outcomes in critically ill patients with IS was elucidated using Cox proportional hazards regression analysis and restricted cubic splines. RESULTS: A total of 733 patients (55.8% male) were enrolled. The hospital mortality and intensive care unit (ICU) mortality reached 19.0% and 14.9%, respectively. Multivariate Cox proportional hazards analysis showed that the elevated TyG index was significantly related to all-cause death. After confounders adjusting, patients with an elevated TyG index had a significant association with hospital mortality (adjusted hazard ratio, 1.371; 95% confidence interval, 1.053–1.784; P = 0.013) and ICU mortality (adjusted hazard ratio, 1.653; 95% confidence interval, 1.244–2.197; P = 0.001). Restricted cubic splines revealed that a progressively increasing risk of all-cause mortality was related to an elevated TyG index. CONCLUSION: The TyG index has a significant association with hospital and ICU all-cause death in critically ill patients with IS. This finding demonstrates that the TyG index might be useful in identifying patients with IS at high risk of all-cause death. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01864-x. BioMed Central 2023-06-13 /pmc/articles/PMC10262584/ /pubmed/37312120 http://dx.doi.org/10.1186/s12933-023-01864-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Cai, Weimin Xu, Jun Wu, Xiao Chen, Zhuoyan Zeng, Liuwei Song, Xian Zeng, Yuan Yu, Fujun Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database |
title | Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database |
title_full | Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database |
title_fullStr | Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database |
title_full_unstemmed | Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database |
title_short | Association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database |
title_sort | association between triglyceride-glucose index and all-cause mortality in critically ill patients with ischemic stroke: analysis of the mimic-iv database |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262584/ https://www.ncbi.nlm.nih.gov/pubmed/37312120 http://dx.doi.org/10.1186/s12933-023-01864-x |
work_keys_str_mv | AT caiweimin associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT xujun associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT wuxiao associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT chenzhuoyan associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT zengliuwei associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT songxian associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT zengyuan associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase AT yufujun associationbetweentriglycerideglucoseindexandallcausemortalityincriticallyillpatientswithischemicstrokeanalysisofthemimicivdatabase |