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Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study
BACKGROUND: The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. METHODS: This study enrolled 317 patients with moderate to severe...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475183/ https://www.ncbi.nlm.nih.gov/pubmed/37660027 http://dx.doi.org/10.1186/s12933-023-01975-5 |
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author | Huang, Rihua Xu, Xinghao Xu, Chaoguang Zhang, Shaozhao Xiong, Zhenyu Liu, Menghui Huang, Yiquan Wen, Han Guo, Yue Liao, Xinxue Zhuang, Xiaodong |
author_facet | Huang, Rihua Xu, Xinghao Xu, Chaoguang Zhang, Shaozhao Xiong, Zhenyu Liu, Menghui Huang, Yiquan Wen, Han Guo, Yue Liao, Xinxue Zhuang, Xiaodong |
author_sort | Huang, Rihua |
collection | PubMed |
description | BACKGROUND: The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. METHODS: This study enrolled 317 patients with moderate to severe AS at the First Affiliated Hospital of Sun Yat-Sen University. The patients were grouped according to the cut-off value of the TyG index. Cox regression with Firth’s penalized maximum likelihood method and restricted cubic splines regression were conducted to assess the association between the TyG index and all-cause mortality. The added value of the TyG index included in the traditional risk factors model for outcome prediction was also analyzed. RESULTS: Among 317 patients (mean age 67.70 years, 62.8% male), there was 84 all-cause mortality during a median 38.07 months follow-up. After fully adjusting for confounders, a per-unit increase in the TyG index was associated with a 62% higher all-cause mortality risk (HR 1.622, 95% CI 1.086–2.416, p = 0.018). The restricted cubic splines regression model revealed a linear association between the TyG index and the risk of all-cause mortality (p for nonlinearity = 0.632). The addition of the TyG index in the basic risk model has an incremental effect on the prediction of mortality [C-statistic change from 0.755 to 0.768; continuous net reclassification improvement (95% CI): 0.299 (0.051–0.546), p = 0.017; integrated discrimination improvement: 0.017 (0.001–0.033), p = 0.044]. CONCLUSIONS: Higher IR assessed by the TyG index was associated with a higher risk of all-cause mortality in patients with moderate and severe AS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01975-5. |
format | Online Article Text |
id | pubmed-10475183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104751832023-09-04 Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study Huang, Rihua Xu, Xinghao Xu, Chaoguang Zhang, Shaozhao Xiong, Zhenyu Liu, Menghui Huang, Yiquan Wen, Han Guo, Yue Liao, Xinxue Zhuang, Xiaodong Cardiovasc Diabetol Research BACKGROUND: The triglyceride-glucose (TyG) index is a reliable surrogate marker of insulin resistance (IR). However, whether the TyG index has prognostic value in patients with moderate to severe aortic stenosis (AS) remains unclear. METHODS: This study enrolled 317 patients with moderate to severe AS at the First Affiliated Hospital of Sun Yat-Sen University. The patients were grouped according to the cut-off value of the TyG index. Cox regression with Firth’s penalized maximum likelihood method and restricted cubic splines regression were conducted to assess the association between the TyG index and all-cause mortality. The added value of the TyG index included in the traditional risk factors model for outcome prediction was also analyzed. RESULTS: Among 317 patients (mean age 67.70 years, 62.8% male), there was 84 all-cause mortality during a median 38.07 months follow-up. After fully adjusting for confounders, a per-unit increase in the TyG index was associated with a 62% higher all-cause mortality risk (HR 1.622, 95% CI 1.086–2.416, p = 0.018). The restricted cubic splines regression model revealed a linear association between the TyG index and the risk of all-cause mortality (p for nonlinearity = 0.632). The addition of the TyG index in the basic risk model has an incremental effect on the prediction of mortality [C-statistic change from 0.755 to 0.768; continuous net reclassification improvement (95% CI): 0.299 (0.051–0.546), p = 0.017; integrated discrimination improvement: 0.017 (0.001–0.033), p = 0.044]. CONCLUSIONS: Higher IR assessed by the TyG index was associated with a higher risk of all-cause mortality in patients with moderate and severe AS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01975-5. BioMed Central 2023-09-02 /pmc/articles/PMC10475183/ /pubmed/37660027 http://dx.doi.org/10.1186/s12933-023-01975-5 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 Huang, Rihua Xu, Xinghao Xu, Chaoguang Zhang, Shaozhao Xiong, Zhenyu Liu, Menghui Huang, Yiquan Wen, Han Guo, Yue Liao, Xinxue Zhuang, Xiaodong Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
title | Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
title_full | Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
title_fullStr | Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
title_full_unstemmed | Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
title_short | Association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
title_sort | association between the insulin resistance and all-cause mortality in patients with moderate and severe aortic stenosis: a retrospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475183/ https://www.ncbi.nlm.nih.gov/pubmed/37660027 http://dx.doi.org/10.1186/s12933-023-01975-5 |
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