Key result
Phenotypic age acceleration is linked to ~103% higher all-cause mortality in early-stage CKM.
Why the study?
To evaluate the associations of KDM-BAA and PAA with all-cause and cause-specific mortality in U.S. adults with CKM syndrome stages 0–3 and establish risk prediction models.
Does biological age acceleration predict mortality in U.S. adults with Cardio-Kidney-Metabolic syndrome stages 0-3?
Cohort (n=16,837)
Yes
Does biological age acceleration predict mortality in U.S. adults with Cardio-Kidney-Metabolic syndrome stages 0-3?
Biological age acceleration, particularly Phenotypic Age Acceleration, independently predicts long-term all-cause and cardiovascular mortality in adults with early-stage (0-3) Cardio-Kidney-Metabolic syndrome.
Answers are grounded in this paper and cite their sources.
Phenotypic age acceleration may aid mortality prediction in early CKM stages; hypothesis-generating and warrants prospective validation before clinical adoption.
This study aims to evaluate the associations of Klemera-Doubal Method Biological Age Acceleration (KDM-BAA) and Phenotypic Age Acceleration (PAA) with all-cause and cause-specific mortality in U.S. adults with Cardio-Kidney-Metabolic (CKM) syndrome stages 0–3 and to establish risk prediction models. Data were obtained from 16,837 participants in NHANES 1999–2010 and 2015–2018, linked to mortality through 2019. Biological age was estimated using KDM-BA and Phenotypic Age algorithms, with residuals defining Biological Age Acceleration (BAA). Cox proportional hazards models were applied, and LASSO-Cox nomograms were developed for mortality prediction. Over a median follow-up of 11.33 years, 10.8% of the weighted population (9.75 million adults) died. After full adjustment for confounders, KDM-BAA positivity increased the risk of all-cause, CVD, and non-CVD mortality by 41%, 74%, and 31%, respectively; PAA positivity showed even larger increases – 103%, 79%, and 112%. Both metrics consistently exhibited a positive association in multiple subgroups and sensitivity analyses. The LASSO-Cox-based nomogram showed favorable discrimination (training AUCs 0.776 and 0.775 at 10 and 20 years; validation AUCs 0.765 and 0.757, respectively) and good calibration, suggesting potential clinical applicability. BAA independently predicts long-term mortality among individuals with CKM stages 0–3. PAA provides superior prognostic value, supporting the importance of monitoring biological aging to guide early intervention and improve long-term outcomes.
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Chen et al. (2026) conducted a cohort in Cardio-Kidney-Metabolic (CKM) syndrome stages 0-3 (n=16,837). Phenotypic Age Acceleration (PAA) vs. Non-accelerated biological age was evaluated on All-cause mortality (HR 2.03, 95% CI 1.82-2.26, p=<0.001). Phenotypic age acceleration positivity independently increased the risk of all-cause mortality by 103% (HR 2.03) compared to non-accelerated biological age in adults with CKM stages 0-3.
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