| Title: | Biological age acceleration and cardiovascular-kidney-metabolic syndrome progression: evidence from UK Biobank and NHANES |
| Journal: | Renal Failure |
| Published: | 11 Oct 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42860781/ |
| DOI: | https://doi.org/10.1080/0886022x.2026.2738248 |
| URL: | https://www.tandfonline.com/doi/pdf/10.1080/0886022X.2026.2738248?needAccess=true |
Publication 21554
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Abstract
OBJECTIVE: We examined associations of biological age acceleration with cardiovascular-kidney-metabolic (CKM) syndrome progression and baseline stage burden.</p>
METHODS: Longitudinal analyses included 326,218 UK Biobank participants, and cross-sectional analyses included 5,228 NHANES adults. PhenoAge and KDMAge acceleration were residuals from regressing each biological age measure on chronological age. We modeled two UK Biobank transitions using cause-specific Cox and competing-risk models and compared NHANES stages using survey-weighted logistic regression.</p>
RESULTS: Over a median 13.48 years, 2,567 participants progressed from stage 0/1 to stage 2/3 and 42,835 from stage 1 or 2/3 to stage 4. Per 1-SD increment, PhenoAge acceleration was associated with both transitions [hazard ratios (HRs) 1.234, 95% confidence interval (CI) 1.189-1.281; HR 1.208, 95% CI 1.197-1.218]. KDMAge acceleration showed corresponding HRs of 1.229 (95% CI 1.180-1.280) and 1.220 (95% CI 1.207-1.232), all P < 0.001. Results remained directionally consistent after accounting for competing mortality. Associations for dichotomized accelerated aging remained significant after false discovery rate correction, and UK Biobank splines suggested possible non-linearity. In NHANES, PhenoAge acceleration was associated with stages 1, 2/3, and 4 versus stage 0. Corresponding odds ratios (ORs) were 1.154 (95% CI 1.107-1.202), 1.221 (95% CI 1.176-1.268) and 1.333 (95% CI 1.249-1.423), all P < 0.001. KDMAge acceleration ORs were 1.025 (95% CI 1.006-1.044; P = 0.012), 1.038 (95% CI 1.019-1.057; P < 0.001), and 1.041 (95% CI 1.011-1.073; P = 0.010).</p>
CONCLUSIONS: Biological age acceleration was associated with CKM progression and baseline burden. KDMAge comparability remains uncertain. Incremental predictive and clinical utility remained untested.</p>
18 Keywords
- Adult
- Aged
- Aging
- Biological Specimen Banks
- Cardio-Renal Syndrome
- Cross-Sectional Studies
- Disease Progression
- Female
- Humans
- Longitudinal Studies
- Male
- Metabolic Syndrome
- Middle Aged
- Nutrition Surveys
- Proportional Hazards Models
- UK Biobank
- United Kingdom
- United States
4 Authors
- Yukai Zhang
- Chenwei Zhang
- Xin Wang
- Yun Zhou
1 Application
| Application ID | Title |
|---|---|
| 778815 | Dissecting the Etiological Landscape of Kidney Disease: A Prospective and Genomic Investigation in the UK Biobank |
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