Associations between phenotypic age and carotid atherosclerosis among the general population: evidence from a multi-stage study

BACKGROUND: Cardiovascular disease onset and mortality vary substantially among individuals of the same chronological age, reflecting differences in the pace of biological aging. This multi-stage study aimed to investigate the association between phenotypic age acceleration (PhenoAgeAccel) and subclinical carotid atherosclerosis. METHODS: We conducted a case-control study (2,088 matched pairs) and a prospective validation cohort (n = 3,833) to assess the association between PhenoAgeAccel and carotid atherosclerotic plaque (CAP) presence in a Chinese general population. We then extended the analysis to occlusion and stenosis of the carotid artery (OSCA) in an external UK Biobank cohort (n = 362,893). PhenoAgeAccel was calculated using chronological age and nine clinical parameters, and PhenoAgeAccel ≤ 0 and > 0 were defined as biologically younger and older, respectively. Multivariable logistic regression and Cox proportional hazards regression models were employed for analyses. RESULTS: In the case-control study, each 1-SD increase in PhenoAgeAccel was associated with a 17% higher risk of CAP presence (OR: 1.17, 95% CI: 1.07-1.26) after adjusting for multiple covariates. A similar association was observed for incident CAP, with each 1-SD increase in PhenoAgeAccel associated with an 17% increase in hazard (HR: 1.17, 95% CI: 1.08-1.27). The transportability analysis in the UK Biobank revealed a 26% increased risk of OSCA per-SD increase in PhenoAgeAccel (HR:1.26, 95% CI: 1.20-1.33). The area under receiver operating characteristic curve (AUC) for a model containing PhenoAgeAccel (AUC = 0.700) was significantly (P = 0.026) larger than the standard model (AUC = 0.689). The restricted cubic splines further confirmed a dose-response association between PhenoAgeAccel and risk of CAP or OSCA (P for overall < 0.001). Subgroup analyses showed significant interactions with diabetes and BMI, with stronger associations in non-diabetic and normal-weight individuals (P < 0.001). CONCLUSIONS: PhenoAgeAccel was independently associated with an increased risk of CAP presence and incident OSCA, suggesting its potential as a complementary indicator for identifying individuals at higher risk of carotid atherosclerosis.

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Journal
BMC Cardiovascular Disorders
Published
2026-04-13
DOI
https://doi.org/10.1186/s12872-026-05810-z
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Associations between phenotypic age and carotid atherosclerosis among the general population: evidence from a multi-stage study

Quan Zhou, Nimei Zeng, Renfang Han, Yuancheng Li et al.
BMC Cardiovascular Disorders
Cardiovascular Health and Disease Prevention
article

Associations between phenotypic age and carotid atherosclerosis among the general population: evidence from a multi-stage study

Quan Zhou, Nimei Zeng, Renfang Han, Yuancheng Li, Jingyi Fan, Yuanli Li, Fangfei Xie, Xunzhi Geng, Yi Wang, Yun Wang
article en

Abstract

BACKGROUND: Cardiovascular disease onset and mortality vary substantially among individuals of the same chronological age, reflecting differences in the pace of biological aging. This multi-stage study aimed to investigate the association between phenotypic age acceleration (PhenoAgeAccel) and subclinical carotid atherosclerosis. METHODS: We conducted a case-control study (2,088 matched pairs) and a prospective validation cohort (n = 3,833) to assess the association between PhenoAgeAccel and carotid atherosclerotic plaque (CAP) presence in a Chinese general population. We then extended the analysis to occlusion and stenosis of the carotid artery (OSCA) in an external UK Biobank cohort (n = 362,893). PhenoAgeAccel was calculated using chronological age and nine clinical parameters, and PhenoAgeAccel ≤ 0 and > 0 were defined as biologically younger and older, respectively. Multivariable logistic regression and Cox proportional hazards regression models were employed for analyses. RESULTS: In the case-control study, each 1-SD increase in PhenoAgeAccel was associated with a 17% higher risk of CAP presence (OR: 1.17, 95% CI: 1.07-1.26) after adjusting for multiple covariates. A similar association was observed for incident CAP, with each 1-SD increase in PhenoAgeAccel associated with an 17% increase in hazard (HR: 1.17, 95% CI: 1.08-1.27). The transportability analysis in the UK Biobank revealed a 26% increased risk of OSCA per-SD increase in PhenoAgeAccel (HR:1.26, 95% CI: 1.20-1.33). The area under receiver operating characteristic curve (AUC) for a model containing PhenoAgeAccel (AUC = 0.700) was significantly (P = 0.026) larger than the standard model (AUC = 0.689). The restricted cubic splines further confirmed a dose-response association between PhenoAgeAccel and risk of CAP or OSCA (P for overall < 0.001). Subgroup analyses showed significant interactions with diabetes and BMI, with stronger associations in non-diabetic and normal-weight individuals (P < 0.001). CONCLUSIONS: PhenoAgeAccel was independently associated with an increased risk of CAP presence and incident OSCA, suggesting its potential as a complementary indicator for identifying individuals at higher risk of carotid atherosclerosis.

BMC Cardiovascular Disorders
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Chinese Academy of Medical Sciences Dermatology Hospital (CN), Suzhou Municipal Hospital (CN)
Suzhou Gusu Medical Youth Talent, National Natural Science Foundation of China, Basic Research Program of Jiangsu Province
Good health and well-being
Openalex Percentile: Top 20%
Cardiovascular Health and Disease Prevention
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