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Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study
BACKGROUND: The impact of triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, on the risk of cardiovascular disease (CVD) in general populations remains controversial. We aimed to comprehensively study the relationship between TyG index with the risk of incident CVD events i...
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/PMC10580532/ https://www.ncbi.nlm.nih.gov/pubmed/37845738 http://dx.doi.org/10.1186/s13098-023-01181-z |
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author | Wan, Yiming Zhang, Ziliang Ling, Yong Cui, Hui Tao, Zihan Pei, Jianfeng Maimaiti, Aikedan Bai, Haifan Wu, Yiling Li, Jing Zhao, Genming Zaid, Maryam |
author_facet | Wan, Yiming Zhang, Ziliang Ling, Yong Cui, Hui Tao, Zihan Pei, Jianfeng Maimaiti, Aikedan Bai, Haifan Wu, Yiling Li, Jing Zhao, Genming Zaid, Maryam |
author_sort | Wan, Yiming |
collection | PubMed |
description | BACKGROUND: The impact of triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, on the risk of cardiovascular disease (CVD) in general populations remains controversial. We aimed to comprehensively study the relationship between TyG index with the risk of incident CVD events in the general population in Shanghai. METHODS: A total of 42,651 participants without previous history of CVD events from Shanghai Suburban Adult Cohort and Biobank (SSACB) were included. SSACB was a community-based natural population cohort study using multistage cluster sampling method. TyG index was calculated as Ln [fasting serum triglyceride (mg/dL) * fasting blood glucose (mg/dL)/2]. Kaplan-Meier curves, log-rank test and cox proportional hazards model were used to calculate the association between TyG index and incident CVD, including stroke and coronary heart disease (CHD). Restricted cubic spline analyses were used to determine whether there was a non-linear relationship between TyG index and CVD events. RESULTS: During a median follow-up of 4.7 years, 1,422 (3.3%) individuals developed CVD, including 674 (1.6%) cases of stroke and 732 (1.7%) cases of CHD. A one unit increment higher TyG index was associated with [HR(95%CI)] 1.16(1.04–1.29) in CVD and with 1.39(1.19–1.61) in stroke. Only linear relationships between TyG and CVD/stroke were observed, while no relationship was observed with CHD after adjustments for confounders. In subgroup analyses, younger (< 50y) and diabetic participants had higher risk of CVD than their counterpart groups, while hypertensive and dyslipidemic participants depicted lower risks than their counterparts. CONCLUSION: Elevated TyG index was associated with a higher risk of incident CVD and stroke. TyG index may help in the early stage of identifying people at high risk of CVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01181-z. |
format | Online Article Text |
id | pubmed-10580532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105805322023-10-18 Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study Wan, Yiming Zhang, Ziliang Ling, Yong Cui, Hui Tao, Zihan Pei, Jianfeng Maimaiti, Aikedan Bai, Haifan Wu, Yiling Li, Jing Zhao, Genming Zaid, Maryam Diabetol Metab Syndr Research BACKGROUND: The impact of triglyceride-glucose (TyG) index, a surrogate marker for insulin resistance, on the risk of cardiovascular disease (CVD) in general populations remains controversial. We aimed to comprehensively study the relationship between TyG index with the risk of incident CVD events in the general population in Shanghai. METHODS: A total of 42,651 participants without previous history of CVD events from Shanghai Suburban Adult Cohort and Biobank (SSACB) were included. SSACB was a community-based natural population cohort study using multistage cluster sampling method. TyG index was calculated as Ln [fasting serum triglyceride (mg/dL) * fasting blood glucose (mg/dL)/2]. Kaplan-Meier curves, log-rank test and cox proportional hazards model were used to calculate the association between TyG index and incident CVD, including stroke and coronary heart disease (CHD). Restricted cubic spline analyses were used to determine whether there was a non-linear relationship between TyG index and CVD events. RESULTS: During a median follow-up of 4.7 years, 1,422 (3.3%) individuals developed CVD, including 674 (1.6%) cases of stroke and 732 (1.7%) cases of CHD. A one unit increment higher TyG index was associated with [HR(95%CI)] 1.16(1.04–1.29) in CVD and with 1.39(1.19–1.61) in stroke. Only linear relationships between TyG and CVD/stroke were observed, while no relationship was observed with CHD after adjustments for confounders. In subgroup analyses, younger (< 50y) and diabetic participants had higher risk of CVD than their counterpart groups, while hypertensive and dyslipidemic participants depicted lower risks than their counterparts. CONCLUSION: Elevated TyG index was associated with a higher risk of incident CVD and stroke. TyG index may help in the early stage of identifying people at high risk of CVD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01181-z. BioMed Central 2023-10-16 /pmc/articles/PMC10580532/ /pubmed/37845738 http://dx.doi.org/10.1186/s13098-023-01181-z 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 Wan, Yiming Zhang, Ziliang Ling, Yong Cui, Hui Tao, Zihan Pei, Jianfeng Maimaiti, Aikedan Bai, Haifan Wu, Yiling Li, Jing Zhao, Genming Zaid, Maryam Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
title | Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
title_full | Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
title_fullStr | Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
title_full_unstemmed | Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
title_short | Association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
title_sort | association of triglyceride-glucose index with cardiovascular disease among a general population: a prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10580532/ https://www.ncbi.nlm.nih.gov/pubmed/37845738 http://dx.doi.org/10.1186/s13098-023-01181-z |
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