| Title: | Contributions of Biological Aging to Longitudinal Incidence and Dynamic Progression of Atrial Fibrillation: A Prospective Cohort Study |
| Journal: | Reviews in Cardiovascular Medicine |
| Published: | 6 Mar 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41923744/ |
| DOI: | https://doi.org/10.31083/rcm47208 |
| URL: | https://storage.imrpress.com/IMR/2029831062365110300/application/2153-8174-27-3-47208.pdf |
Publication 18238
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Abstract
Background: The role of biological aging in the progression of atrial fibrillation (AF) remains unclear. Therefore, the present study aimed to investigate the influence of biological aging markers on transitions from health to AF, complications, and death.</p>
Methods: Two UK Biobank datasets were analyzed: 260,198 participants for the Klemera-Doubal method for biological age (KDM-BA) and PhenoAge analyses, and 339,603 for telomere length analyses, excluding those with AF, complications (heart failure, myocardial infarction, cerebral infarction, dementia, and arterial embolic diseases) at baseline. The present study employed a multi-state model to evaluate the associations between biological aging markers and the progression of AF. Mediation analyses were utilized to assess the role of systemic inflammation.</p>
Results: During the follow-up period, 9.51-9.67% of patients in the two datasets developed AF, among whom 17.59-17.85% progressed to complications, with 8.20-10.83% of these patients dying from AF-related complications. In comparison with Q1, Q4 of the KDM-BA and PhenoAge analyses was associated with elevated risks across transitions, particularly from baseline to AF (hazard ratios (HR): 1.09, 95% confidence interval (CI): 1.04-1.14; HR: 1.30, 95% CI: 1.25-1.35), baseline to death (HR: 1.10, 95% CI: 1.04-1.16; HR: 1.11, 95% CI: 1.06-1.16), and AF to complication (HR: 1.75, 95% CI: 1.58-1.94; HR: 1.52, 95% CI: 1.37-1.68). Moreover, Q4 of the telomere length analyses showed protective effects against AF onset (HR: 0.83, 95% CI: 0.80-0.86), progression to complications (HR: 0.78, 95% CI: 0.72-0.84), and from baseline to death (HR: 0.91, 95% CI: 0.88-0.94). Systemic inflammation was associated with up to 29.95% of these associations.</p>
Conclusions: Associations were found between biological aging markers (higher KDM-BA and PhenoAge, and shorter telomere length) and the risk of AF transitions, particularly with respect to an increased risk of AF and progression to complications. These findings underscore the importance of biological age in AF risk stratification and prevention.</p>
5 Authors
- Zhixing Fan
- Xinyi Liu
- Hui Wu
- Chaojun Yang
- Jian Yang
1 Application
| Application ID | Title |
|---|---|
| 170605 | Association analysis, causal inference, and modeling of genetic, environmental, lifestyle, and clinical determinants in the occurrence, progression, and prognosis of age-related diseases |
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