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Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease

BACKGROUND: Chronological age (CA) is not a perfect proxy for the true biological aging status of the body. A new biological aging measure, phenotypic age (PhenoAge), has been shown to capture morbidity and mortality risk in the general US population and diverse subpopulations. This study was aimed...

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Autores principales: Ma, Qiong, Li, Bo-Lin, Yang, Lei, Zhang, Miao, Feng, Xin-Xin, Li, Qian, Liu, Hui, Gao, Ya-Jie, Ma, Wen-Zhuo, Shi, Rui-Juan, Xue, Yan-Bo, Zheng, Xiao-Pu, Gao, Ke, Mu, Jian-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776473/
https://www.ncbi.nlm.nih.gov/pubmed/35069932
http://dx.doi.org/10.1155/2022/4524032
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author Ma, Qiong
Li, Bo-Lin
Yang, Lei
Zhang, Miao
Feng, Xin-Xin
Li, Qian
Liu, Hui
Gao, Ya-Jie
Ma, Wen-Zhuo
Shi, Rui-Juan
Xue, Yan-Bo
Zheng, Xiao-Pu
Gao, Ke
Mu, Jian-Jun
author_facet Ma, Qiong
Li, Bo-Lin
Yang, Lei
Zhang, Miao
Feng, Xin-Xin
Li, Qian
Liu, Hui
Gao, Ya-Jie
Ma, Wen-Zhuo
Shi, Rui-Juan
Xue, Yan-Bo
Zheng, Xiao-Pu
Gao, Ke
Mu, Jian-Jun
author_sort Ma, Qiong
collection PubMed
description BACKGROUND: Chronological age (CA) is not a perfect proxy for the true biological aging status of the body. A new biological aging measure, phenotypic age (PhenoAge), has been shown to capture morbidity and mortality risk in the general US population and diverse subpopulations. This study was aimed at evaluating the association between PhenoAge and long-term outcome of patients with multivessel coronary artery disease (CAD). METHODS: A total of 609 multivessel CAD patients who received PCI attempt and with follow-up were enrolled. The clinical outcome was all-cause mortality on follow-up. PhenoAge was calculated using an equation constructed from CA and 9 clinical biomarkers. Cox proportional hazards regression models and receiver operating characteristic (ROC) curves were performed to evaluate the association between PhenoAge and mortality. RESULTS: Overall, patients with more diseases had older PhenoAge and phenotypic age acceleration (PhenoAgeAccel). After a median follow-up of 33.5 months, those with positive PhenoAgeAccel had a significantly higher incidence of all-cause mortality (P = 0.001). After adjusting for CA, Cox proportional hazards models showed that both PhenoAge and PhenoAgeAccel were significantly associated with all-cause mortality. Even after further adjusting for confounding factors, each 10-year increase in PhenoAge was also associated with a 51% increased mortality risk. ROC curves revealed that PhenoAge, with an area under the curve of 0.705, significantly outperformed CA, the individual clinical chemistry measure, and other risk factors. When reexamining the ROC curves using various combinations of variables, we found that PhenoAge provides additional predictive power to all models. CONCLUSIONS: In conclusion, PhenoAge was strongly associated with all-cause mortality even after adjusting for CA. Our findings suggest that PhenoAge measure may be complementary in predicting mortality risk for patients with multivessel CAD.
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spelling pubmed-87764732022-01-21 Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease Ma, Qiong Li, Bo-Lin Yang, Lei Zhang, Miao Feng, Xin-Xin Li, Qian Liu, Hui Gao, Ya-Jie Ma, Wen-Zhuo Shi, Rui-Juan Xue, Yan-Bo Zheng, Xiao-Pu Gao, Ke Mu, Jian-Jun Dis Markers Research Article BACKGROUND: Chronological age (CA) is not a perfect proxy for the true biological aging status of the body. A new biological aging measure, phenotypic age (PhenoAge), has been shown to capture morbidity and mortality risk in the general US population and diverse subpopulations. This study was aimed at evaluating the association between PhenoAge and long-term outcome of patients with multivessel coronary artery disease (CAD). METHODS: A total of 609 multivessel CAD patients who received PCI attempt and with follow-up were enrolled. The clinical outcome was all-cause mortality on follow-up. PhenoAge was calculated using an equation constructed from CA and 9 clinical biomarkers. Cox proportional hazards regression models and receiver operating characteristic (ROC) curves were performed to evaluate the association between PhenoAge and mortality. RESULTS: Overall, patients with more diseases had older PhenoAge and phenotypic age acceleration (PhenoAgeAccel). After a median follow-up of 33.5 months, those with positive PhenoAgeAccel had a significantly higher incidence of all-cause mortality (P = 0.001). After adjusting for CA, Cox proportional hazards models showed that both PhenoAge and PhenoAgeAccel were significantly associated with all-cause mortality. Even after further adjusting for confounding factors, each 10-year increase in PhenoAge was also associated with a 51% increased mortality risk. ROC curves revealed that PhenoAge, with an area under the curve of 0.705, significantly outperformed CA, the individual clinical chemistry measure, and other risk factors. When reexamining the ROC curves using various combinations of variables, we found that PhenoAge provides additional predictive power to all models. CONCLUSIONS: In conclusion, PhenoAge was strongly associated with all-cause mortality even after adjusting for CA. Our findings suggest that PhenoAge measure may be complementary in predicting mortality risk for patients with multivessel CAD. Hindawi 2022-01-13 /pmc/articles/PMC8776473/ /pubmed/35069932 http://dx.doi.org/10.1155/2022/4524032 Text en Copyright © 2022 Qiong Ma et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ma, Qiong
Li, Bo-Lin
Yang, Lei
Zhang, Miao
Feng, Xin-Xin
Li, Qian
Liu, Hui
Gao, Ya-Jie
Ma, Wen-Zhuo
Shi, Rui-Juan
Xue, Yan-Bo
Zheng, Xiao-Pu
Gao, Ke
Mu, Jian-Jun
Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease
title Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease
title_full Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease
title_fullStr Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease
title_full_unstemmed Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease
title_short Association between Phenotypic Age and Mortality in Patients with Multivessel Coronary Artery Disease
title_sort association between phenotypic age and mortality in patients with multivessel coronary artery disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776473/
https://www.ncbi.nlm.nih.gov/pubmed/35069932
http://dx.doi.org/10.1155/2022/4524032
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