Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Rihua, Xu, Xinghao, Xu, Chaoguang, Zhang, Shaozhao, Xiong, Zhenyu, Liu, Menghui, Huang, Yiquan, Wen, Han, Guo, Yue, Liao, Xinxue, Zhuang, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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
_version_ 1785100667804712960
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
work_keys_str_mv AT huangrihua associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT xuxinghao associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT xuchaoguang associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT zhangshaozhao associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT xiongzhenyu associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT liumenghui associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT huangyiquan associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT wenhan associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT guoyue associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT liaoxinxue associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy
AT zhuangxiaodong associationbetweentheinsulinresistanceandallcausemortalityinpatientswithmoderateandsevereaorticstenosisaretrospectivecohortstudy