Evidence map›Paper›PMID 42860781›Full record

ArticleRenal failure2026

Biological age acceleration and cardiovascular-kidney-metabolic syndrome progression: evidence from UK Biobank and NHANES.

Yukai Zhang, Chenwei Zhang, Xin Wang, Yun Zhou

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Article in Renal failure, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yukai ZhangDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Chenwei ZhangDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
Xin WangDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.
Yun ZhouDepartment of Nephrology, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe examined associations of biological age acceleration with cardiovascular-kidney-metabolic (CKM) syndrome progression and baseline stage burden.

methodsLongitudinal 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.

resultsOver 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

conclusionsBiological age acceleration was associated with CKM progression and baseline burden. KDMAge comparability remains uncertain. Incremental predictive and clinical utility remained untested.

Indexed as

AgingCardio-Renal SyndromeMetabolic SyndromeAdultAgedBiological Specimen BanksCross-Sectional StudiesDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedNutrition SurveysProportional Hazards ModelsUK Biobankbiological agingCardiovascular–kidney–metabolic syndromeKlemera–Doubal method biological agePhenoAge

Identifiers

PMID42860781
PMCPMC13660544

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