| Title: | Association Between Cardiovascular Biological Age and Cardiovascular Disease - A Prospective Cohort Study - |
| Journal: | Circulation Journal |
| Published: | 13 Mar 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40074355/ |
| DOI: | https://doi.org/10.1253/circj.cj-24-0824 |
Publication 16228
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Abstract
BACKGROUND: Biological age serves as a common starting point for various age-related diseases and can be associated with a wide range of cardiovascular outcomes. However, associations between cardiovascular biological age (CBA) and various types of cardiovascular disease (CVD) remain unclear.</p>
METHODS AND RESULTS: Analyzing 262,343 UK Biobank participants, we constructed CBA based on composite biomarkers using the Klemera-Doubal method (denoted as KDM-CBA). We measured KDM-CBA acceleration as the difference between KDM-CBA and chronological age. We then examined the associations between KDM-CBA and 17 CVD types using Cox proportional hazard models. We used restricted cubic spline models to assess potential nonlinear associations of KDM-CBA and KDM-CBA acceleration with different types of CVDs. We observed that KDM-CBA (per 1SD increase) was associated with various CVD types, but with different extent (hypertension: hazard ratio (HR)=2.115, 95% confidence interval (CI): 2.083-2.148; coronary atherosclerosis: HR=1.711, 95% CI: 1.545-1.896). We observed similar results for KDM-CBA acceleration and KDM-CBA. KDM-CBA and KDM-CBA acceleration showed J-type nonlinear associations with nearly all CVD types (cutoff values of ≈55 and -1.7 years for KDM-CBA and KDM-CBA acceleration, respectively).</p>
CONCLUSIONS: Our study showed that CBA is associated with increased incidence of CVD, which further validates aging as a common starting point for different CVD types as well as highlighting CBA's role as an early CVD indicator, providing valuable insights for CVD interventions.</p>
13 Keywords
- Adult
- Age Factors
- Aged
- Aging
- Biomarkers
- Cardiovascular Diseases
- Female
- Humans
- Male
- Middle Aged
- Prospective Studies
- Risk Factors
- United Kingdom
9 Authors
- Jiajie Cai
- Rui Yu
- Ning Zhang
- Hongmei Zhang
- Yuan Zhang
- Yi Xiang
- Hao Xu
- Xiong Xiao
- Xing Zhao
1 Application
| Application ID | Title |
|---|---|
| 117185 | Research on risk factors and pathogenesis of aging-related chronic diseases |
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