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Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease

BACKGROUND: Risk profiles for premature cardiovascular disease (CVD) are unclear. This study aimed to examine baseline risk profiles for incident CVD by age at onset in Chinese population. METHODS: A total of 97,841 participants without CVD were enrolled from the Kailuan cohort study. Four age group...

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Autores principales: Tian, Xue, Chen, Shuohua, Zuo, Yingting, Zhang, Yijun, Zhang, Xiaoli, Xu, Qin, Luo, Yanxia, Wu, Shouling, Wang, Anxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647925/
https://www.ncbi.nlm.nih.gov/pubmed/36352412
http://dx.doi.org/10.1186/s12916-022-02592-x
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author Tian, Xue
Chen, Shuohua
Zuo, Yingting
Zhang, Yijun
Zhang, Xiaoli
Xu, Qin
Luo, Yanxia
Wu, Shouling
Wang, Anxin
author_facet Tian, Xue
Chen, Shuohua
Zuo, Yingting
Zhang, Yijun
Zhang, Xiaoli
Xu, Qin
Luo, Yanxia
Wu, Shouling
Wang, Anxin
author_sort Tian, Xue
collection PubMed
description BACKGROUND: Risk profiles for premature cardiovascular disease (CVD) are unclear. This study aimed to examine baseline risk profiles for incident CVD by age at onset in Chinese population. METHODS: A total of 97,841 participants without CVD were enrolled from the Kailuan cohort study. Four age groups were examined (< 55, 55 to < 65, 65 to < 75, and ≥ 75 years) for CVD onset. Risk profiles included clinical, lipid, metabolic, and inflammatory risk factors and biomarkers. RESULTS: Of the clinical factors, diabetes was associated with the highest relative risk for incident CVD in participants younger than 55 years (sub-distributional hazard ratio [sHR], 4.08; 95% confidence interval [CI], 3.47–4.80). Risk factors that were also noted for CVD onset in participants younger than 55 years included hypertension, metabolism syndrome, overweight or obese, dyslipidemia, and smoking. Among the biomarkers, insulin resistance measured by triglyceride-glucose index had the highest sHR (1.42; 95% CI, 1.35–1.49) for CVD in participants younger than 55 years. In comparison, weaker but significant associations with CVD in participants younger than 55 years were noted for most lipids, metabolic biomarkers, and inflammatory biomarkers. Most risk factors and biomarkers had associations that attenuated with increasing age at onset. Some biomarkers had similar CVD age association, while a few had no association with CVD onset at any age. CONCLUSIONS: These findings showed that diabetes and insulin resistance, in addition to hypertension, metabolism syndrome, overweight or obese, dyslipidemia, and smoking, appeared to be the strongest risk factors for premature onset of CVD, and most risk factors had attenuated relative rates at older ages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02592-x.
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spelling pubmed-96479252022-11-15 Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease Tian, Xue Chen, Shuohua Zuo, Yingting Zhang, Yijun Zhang, Xiaoli Xu, Qin Luo, Yanxia Wu, Shouling Wang, Anxin BMC Med Research Article BACKGROUND: Risk profiles for premature cardiovascular disease (CVD) are unclear. This study aimed to examine baseline risk profiles for incident CVD by age at onset in Chinese population. METHODS: A total of 97,841 participants without CVD were enrolled from the Kailuan cohort study. Four age groups were examined (< 55, 55 to < 65, 65 to < 75, and ≥ 75 years) for CVD onset. Risk profiles included clinical, lipid, metabolic, and inflammatory risk factors and biomarkers. RESULTS: Of the clinical factors, diabetes was associated with the highest relative risk for incident CVD in participants younger than 55 years (sub-distributional hazard ratio [sHR], 4.08; 95% confidence interval [CI], 3.47–4.80). Risk factors that were also noted for CVD onset in participants younger than 55 years included hypertension, metabolism syndrome, overweight or obese, dyslipidemia, and smoking. Among the biomarkers, insulin resistance measured by triglyceride-glucose index had the highest sHR (1.42; 95% CI, 1.35–1.49) for CVD in participants younger than 55 years. In comparison, weaker but significant associations with CVD in participants younger than 55 years were noted for most lipids, metabolic biomarkers, and inflammatory biomarkers. Most risk factors and biomarkers had associations that attenuated with increasing age at onset. Some biomarkers had similar CVD age association, while a few had no association with CVD onset at any age. CONCLUSIONS: These findings showed that diabetes and insulin resistance, in addition to hypertension, metabolism syndrome, overweight or obese, dyslipidemia, and smoking, appeared to be the strongest risk factors for premature onset of CVD, and most risk factors had attenuated relative rates at older ages. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02592-x. BioMed Central 2022-11-10 /pmc/articles/PMC9647925/ /pubmed/36352412 http://dx.doi.org/10.1186/s12916-022-02592-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article
Tian, Xue
Chen, Shuohua
Zuo, Yingting
Zhang, Yijun
Zhang, Xiaoli
Xu, Qin
Luo, Yanxia
Wu, Shouling
Wang, Anxin
Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
title Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
title_full Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
title_fullStr Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
title_full_unstemmed Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
title_short Association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
title_sort association of lipid, inflammatory, and metabolic biomarkers with age at onset for incident cardiovascular disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647925/
https://www.ncbi.nlm.nih.gov/pubmed/36352412
http://dx.doi.org/10.1186/s12916-022-02592-x
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