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Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression

BACKGROUND: The triglyceride-glucose (TyG) index has been recognized as being an alternative cardiometabolic biomarker for insulin resistance associated with the development and prognosis of cardiovascular disease (CVD). However, the prospective relationship between baseline and long-term trajectori...

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Autores principales: Yu, Haixu, Tao, Liyuan, Li, Yan-Guang, Yang, Lincheng, Liu, Dan, Wang, Yang, Hao, Xiaoyan, He, Honghai, Che, Ying, Wang, Peng, Zhao, Wei, Gao, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230761/
https://www.ncbi.nlm.nih.gov/pubmed/37254140
http://dx.doi.org/10.1186/s12933-023-01847-y
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author Yu, Haixu
Tao, Liyuan
Li, Yan-Guang
Yang, Lincheng
Liu, Dan
Wang, Yang
Hao, Xiaoyan
He, Honghai
Che, Ying
Wang, Peng
Zhao, Wei
Gao, Wei
author_facet Yu, Haixu
Tao, Liyuan
Li, Yan-Guang
Yang, Lincheng
Liu, Dan
Wang, Yang
Hao, Xiaoyan
He, Honghai
Che, Ying
Wang, Peng
Zhao, Wei
Gao, Wei
author_sort Yu, Haixu
collection PubMed
description BACKGROUND: The triglyceride-glucose (TyG) index has been recognized as being an alternative cardiometabolic biomarker for insulin resistance associated with the development and prognosis of cardiovascular disease (CVD). However, the prospective relationship between baseline and long-term trajectories of the TyG index and carotid atherosclerosis (CAS) progression has yet to be investigated. METHODS: This longitudinal prospective cohort study included 10,380 adults with multiple general health checks at Peking University Third Hospital from January 2011 to December 2020. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). The latent class trajectory modeling method was used to analyze the TyG index trajectories over the follow-up. Based on univariate and multivariate Cox proportional hazards analyses, hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for the baseline and trajectory of the TyG index. RESULTS: During a median follow-up period of 757 days, 1813 participants developed CAS progression. Each 1-standard deviation (SD) increase in the TyG index was associated with a 7% higher risk of CAS progression after adjusting for traditional CVD risk factors (HR = 1.067, 95% CI 1.006–1.132). Similar results were observed when the TyG index was expressed as quartiles. According to different trajectory patterns, participants were categorized into low-stable, moderate-stable, and high-increasing groups. After multivariate adjustment, the moderate-stable group had a 1.139-fold (95% CI 1.021–1.272) risk of CAS progression. The high-increasing trajectory of the TyG index tended to be associated with CAS progression (HR = 1.206, 95% CI 0.961–1.513). CONCLUSIONS: Participants with higher baseline and moderate-stable trajectory of the TyG index were associated with CAS progression. Long-term trajectories of the TyG index can help to identify individuals at a higher risk of CAS progression who deserve specific preventive and therapeutic approaches.
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spelling pubmed-102307612023-06-01 Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression Yu, Haixu Tao, Liyuan Li, Yan-Guang Yang, Lincheng Liu, Dan Wang, Yang Hao, Xiaoyan He, Honghai Che, Ying Wang, Peng Zhao, Wei Gao, Wei Cardiovasc Diabetol Research BACKGROUND: The triglyceride-glucose (TyG) index has been recognized as being an alternative cardiometabolic biomarker for insulin resistance associated with the development and prognosis of cardiovascular disease (CVD). However, the prospective relationship between baseline and long-term trajectories of the TyG index and carotid atherosclerosis (CAS) progression has yet to be investigated. METHODS: This longitudinal prospective cohort study included 10,380 adults with multiple general health checks at Peking University Third Hospital from January 2011 to December 2020. The TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). The latent class trajectory modeling method was used to analyze the TyG index trajectories over the follow-up. Based on univariate and multivariate Cox proportional hazards analyses, hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated for the baseline and trajectory of the TyG index. RESULTS: During a median follow-up period of 757 days, 1813 participants developed CAS progression. Each 1-standard deviation (SD) increase in the TyG index was associated with a 7% higher risk of CAS progression after adjusting for traditional CVD risk factors (HR = 1.067, 95% CI 1.006–1.132). Similar results were observed when the TyG index was expressed as quartiles. According to different trajectory patterns, participants were categorized into low-stable, moderate-stable, and high-increasing groups. After multivariate adjustment, the moderate-stable group had a 1.139-fold (95% CI 1.021–1.272) risk of CAS progression. The high-increasing trajectory of the TyG index tended to be associated with CAS progression (HR = 1.206, 95% CI 0.961–1.513). CONCLUSIONS: Participants with higher baseline and moderate-stable trajectory of the TyG index were associated with CAS progression. Long-term trajectories of the TyG index can help to identify individuals at a higher risk of CAS progression who deserve specific preventive and therapeutic approaches. BioMed Central 2023-05-31 /pmc/articles/PMC10230761/ /pubmed/37254140 http://dx.doi.org/10.1186/s12933-023-01847-y 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
Yu, Haixu
Tao, Liyuan
Li, Yan-Guang
Yang, Lincheng
Liu, Dan
Wang, Yang
Hao, Xiaoyan
He, Honghai
Che, Ying
Wang, Peng
Zhao, Wei
Gao, Wei
Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
title Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
title_full Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
title_fullStr Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
title_full_unstemmed Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
title_short Association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
title_sort association between triglyceride-glucose index trajectories and carotid atherosclerosis progression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10230761/
https://www.ncbi.nlm.nih.gov/pubmed/37254140
http://dx.doi.org/10.1186/s12933-023-01847-y
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