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Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease

BACKGROUND: The triglyceride–glucose (TyG) index is validated as a reliable biomarker of insulin resistance and an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients on dialysis with coronary artery disease (CAD) remained unexplored. This st...

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Autores principales: Xie, Enmin, Ye, Zixiang, Wu, Yaxin, Zhao, Xuecheng, Li, Yike, Shen, Nan, Guo, Xiaochun, Gao, Yanxiang, Zheng, Jingang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580538/
https://www.ncbi.nlm.nih.gov/pubmed/37848993
http://dx.doi.org/10.1186/s40001-023-01410-1
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author Xie, Enmin
Ye, Zixiang
Wu, Yaxin
Zhao, Xuecheng
Li, Yike
Shen, Nan
Guo, Xiaochun
Gao, Yanxiang
Zheng, Jingang
author_facet Xie, Enmin
Ye, Zixiang
Wu, Yaxin
Zhao, Xuecheng
Li, Yike
Shen, Nan
Guo, Xiaochun
Gao, Yanxiang
Zheng, Jingang
author_sort Xie, Enmin
collection PubMed
description BACKGROUND: The triglyceride–glucose (TyG) index is validated as a reliable biomarker of insulin resistance and an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients on dialysis with coronary artery disease (CAD) remained unexplored. This study aimed to determine the association between the TyG index and CAD severity and mortality in these patients. METHODS: A total of 1061 dialysis patients with CAD were enrolled in this multi-center cohort study from January 2015 to June 2021. The extent and severity of CAD were evaluated using the multivessel disease and Gensini score (GS). Patients were followed up for all-cause death and cardiovascular death. RESULTS: The multivariable logistic regression model indicated that the TyG index was significantly associated with multivessel disease (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.18–1.94, P = 0.001), and high GS (OR 1.33, 95% CI 1.10–1.61, P = 0.003). After adjusting for baseline risk factors, the hazards of all-cause death and cardiovascular death were 1.23 (95% CI 1.06–1.43, P = 0.007), and 1.33 (95% CI 1.11–1.59, P = 0.002), independent of CAD severity. Restricted cubic spline analysis identified a dose–response association between the TyG index and both CAD severity and mortality (all P for nonlinearity > 0.05). When modeling the TyG index as a categorical variable, these independent associations remained. Subgroup analyses did not substantially modify the results. Furthermore, incorporating the TyG index into the existing risk prediction model improved the predictive accuracy for all-cause death and cardiovascular death, as evaluated by C-statistic, continuous net reclassification improvement, and integrated discrimination improvement. CONCLUSIONS: In patients on dialysis with CAD, the TyG index was significantly associated with more severe CAD as well as mortality. These results highlight the clinical importance of the TyG index for assessing CAD severity and risk stratification in patients on dialysis with CAD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01410-1.
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spelling pubmed-105805382023-10-18 Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease Xie, Enmin Ye, Zixiang Wu, Yaxin Zhao, Xuecheng Li, Yike Shen, Nan Guo, Xiaochun Gao, Yanxiang Zheng, Jingang Eur J Med Res Research BACKGROUND: The triglyceride–glucose (TyG) index is validated as a reliable biomarker of insulin resistance and an independent predictor of cardiovascular prognosis. However, the prognostic value of the TyG index in patients on dialysis with coronary artery disease (CAD) remained unexplored. This study aimed to determine the association between the TyG index and CAD severity and mortality in these patients. METHODS: A total of 1061 dialysis patients with CAD were enrolled in this multi-center cohort study from January 2015 to June 2021. The extent and severity of CAD were evaluated using the multivessel disease and Gensini score (GS). Patients were followed up for all-cause death and cardiovascular death. RESULTS: The multivariable logistic regression model indicated that the TyG index was significantly associated with multivessel disease (odds ratio [OR] 1.51, 95% confidence interval [CI] 1.18–1.94, P = 0.001), and high GS (OR 1.33, 95% CI 1.10–1.61, P = 0.003). After adjusting for baseline risk factors, the hazards of all-cause death and cardiovascular death were 1.23 (95% CI 1.06–1.43, P = 0.007), and 1.33 (95% CI 1.11–1.59, P = 0.002), independent of CAD severity. Restricted cubic spline analysis identified a dose–response association between the TyG index and both CAD severity and mortality (all P for nonlinearity > 0.05). When modeling the TyG index as a categorical variable, these independent associations remained. Subgroup analyses did not substantially modify the results. Furthermore, incorporating the TyG index into the existing risk prediction model improved the predictive accuracy for all-cause death and cardiovascular death, as evaluated by C-statistic, continuous net reclassification improvement, and integrated discrimination improvement. CONCLUSIONS: In patients on dialysis with CAD, the TyG index was significantly associated with more severe CAD as well as mortality. These results highlight the clinical importance of the TyG index for assessing CAD severity and risk stratification in patients on dialysis with CAD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40001-023-01410-1. BioMed Central 2023-10-17 /pmc/articles/PMC10580538/ /pubmed/37848993 http://dx.doi.org/10.1186/s40001-023-01410-1 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
Xie, Enmin
Ye, Zixiang
Wu, Yaxin
Zhao, Xuecheng
Li, Yike
Shen, Nan
Guo, Xiaochun
Gao, Yanxiang
Zheng, Jingang
Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
title Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
title_full Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
title_fullStr Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
title_full_unstemmed Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
title_short Association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
title_sort association of triglyceride–glucose index with coronary severity and mortality in patients on dialysis with coronary artery disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580538/
https://www.ncbi.nlm.nih.gov/pubmed/37848993
http://dx.doi.org/10.1186/s40001-023-01410-1
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