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Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke

BACKGROUND: Myocardial injury post-stroke is a common sequela of acute stroke. Triglyceride-glucose index (TyG index), a valuable surrogate indicator of insulin resistance, has been suggested to be closely related to cardiovascular outcomes. However, it is unknown whether the TyG index is independen...

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Autores principales: Niu, Mu, Zhou, Zhikang, Wang, Long, Yang, Jian, Sun, Miao, Lv, Xin, Zhang, Faqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249284/
https://www.ncbi.nlm.nih.gov/pubmed/37291516
http://dx.doi.org/10.1186/s12877-023-04041-7
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author Niu, Mu
Zhou, Zhikang
Wang, Long
Yang, Jian
Sun, Miao
Lv, Xin
Zhang, Faqiang
author_facet Niu, Mu
Zhou, Zhikang
Wang, Long
Yang, Jian
Sun, Miao
Lv, Xin
Zhang, Faqiang
author_sort Niu, Mu
collection PubMed
description BACKGROUND: Myocardial injury post-stroke is a common sequela of acute stroke. Triglyceride-glucose index (TyG index), a valuable surrogate indicator of insulin resistance, has been suggested to be closely related to cardiovascular outcomes. However, it is unknown whether the TyG index is independently associated with a higher risk of myocardial injury post-stroke. We therefore investigated the longitudinal association between TyG index and risk of myocardial injury post-stroke in older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities. METHODS: We included older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities between January 2021 to December 2021. The individuals were stratified into low and high TyG index groups according to the optimal cutoff value with TyG index. We performed logistic regression analysis, propensity score matching (PSM) analysis, restricted cubic spline analysis, and subgroup analyses to explore the longitudinal association between TyG index and risk of myocardial injury post-stroke. RESULTS: We included 386 individuals with a median age of 69.8 years (interquartile range: 66.6, 75.3). The optimal TyG index cut-off for predicting myocardial injury post-stroke was 8.9 (sensitivity 67.8%; specificity 75.5%; area under curve 0.701). Multivariate logistic regression analysis revealed that the risk of genesis of myocardial injury post-stroke increased with elevated TyG index (odds ratio [OR], 2.333; 95% confidence interval [CI], 1.201–4.585; P = 0.013). Furthermore, all covariates were well balanced between the two groups. The longitudinal association between TyG index and myocardial injury post-stroke remained significantly robust (OR: 2.196; 95% CI: 1.416–3.478; P < 0.001) after PSM adjustment. CONCLUSION: Individuals with an elevated TyG index were more susceptible to having an increased risk of myocardial injury post-stroke. TyG index thus might be served as a complementary approach for optimized-for-risk stratification in older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04041-7.
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spelling pubmed-102492842023-06-09 Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke Niu, Mu Zhou, Zhikang Wang, Long Yang, Jian Sun, Miao Lv, Xin Zhang, Faqiang BMC Geriatr Research BACKGROUND: Myocardial injury post-stroke is a common sequela of acute stroke. Triglyceride-glucose index (TyG index), a valuable surrogate indicator of insulin resistance, has been suggested to be closely related to cardiovascular outcomes. However, it is unknown whether the TyG index is independently associated with a higher risk of myocardial injury post-stroke. We therefore investigated the longitudinal association between TyG index and risk of myocardial injury post-stroke in older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities. METHODS: We included older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities between January 2021 to December 2021. The individuals were stratified into low and high TyG index groups according to the optimal cutoff value with TyG index. We performed logistic regression analysis, propensity score matching (PSM) analysis, restricted cubic spline analysis, and subgroup analyses to explore the longitudinal association between TyG index and risk of myocardial injury post-stroke. RESULTS: We included 386 individuals with a median age of 69.8 years (interquartile range: 66.6, 75.3). The optimal TyG index cut-off for predicting myocardial injury post-stroke was 8.9 (sensitivity 67.8%; specificity 75.5%; area under curve 0.701). Multivariate logistic regression analysis revealed that the risk of genesis of myocardial injury post-stroke increased with elevated TyG index (odds ratio [OR], 2.333; 95% confidence interval [CI], 1.201–4.585; P = 0.013). Furthermore, all covariates were well balanced between the two groups. The longitudinal association between TyG index and myocardial injury post-stroke remained significantly robust (OR: 2.196; 95% CI: 1.416–3.478; P < 0.001) after PSM adjustment. CONCLUSION: Individuals with an elevated TyG index were more susceptible to having an increased risk of myocardial injury post-stroke. TyG index thus might be served as a complementary approach for optimized-for-risk stratification in older patients with first-ever ischemic stroke and no prior cardiovascular comorbidities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-023-04041-7. BioMed Central 2023-06-08 /pmc/articles/PMC10249284/ /pubmed/37291516 http://dx.doi.org/10.1186/s12877-023-04041-7 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
Niu, Mu
Zhou, Zhikang
Wang, Long
Yang, Jian
Sun, Miao
Lv, Xin
Zhang, Faqiang
Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
title Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
title_full Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
title_fullStr Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
title_full_unstemmed Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
title_short Association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
title_sort association of triglyceride-glucose index with myocardial injury post-stroke in older patients with first-ever ischemic stroke
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10249284/
https://www.ncbi.nlm.nih.gov/pubmed/37291516
http://dx.doi.org/10.1186/s12877-023-04041-7
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