ArticleAcute and critical care2025
Biological age and clinical frailty scale measured at intensive care unit admission as predictors of hospital mortality among the critically ill in Western Australia: a retrospective cohort study.
Article in Acute and critical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Biopsychosocial trajectories in older adults with planned intensive care: a protocol for a prospective observational study (GeriICU).BMJ open · 2026Article
- Deep Biological Clocks in Critical Care Medicine: A Scoping Review Toward Translational Precision Care.Journal of personalized medicine · 2026Review
- Article
- Biological age in critical care: current evidence, future prospects, and clinical implications.Frontiers in medicine · 2025Review
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2 authors.
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Abstract
backgroundFrailty is a widely accepted predictor of health outcomes in patients including the critically ill. Biological age is also increasingly recognized as a determinant of chronic health outcomes. Whether these factors are independently predictive of mortality among the critically ill is unknown. We assessed whether biological age, measured as PhenoAge at Intensive Care Unit (ICU) admission, predicts mortality in critically ill patients independent of the Clinical Frailty Scale (CFS).
methodsThis single-center retrospective cohort study included adult patients with available CFS and PhenoAge data at admission to ICU, excluding patients with incomplete records for key variables. The Levine PhenoAge model was used to estimate each patient's biological age (PhenoAge). PhenoAge was then calibrated to generate a regression residual to reflect excessive biological age unexplained by chronological age.
resultsOf the 1,073 critically ill adult patients analyzed, 117 died (10.9%) before hospital discharge. PhenoAge and CFS were significantly correlated (correlation coefficient, 0.235; P=0.001). PhenoAge (receiver operating characteristic curve [AUROC], 0.622) and its residuals (AUROC, 0.627) and CFS (AUROC, 0.601) were predictive of hospital mortality, with no significant differences in their ability to differentiate between survivors and non-survivors (paired comparison to CFS: P=0.586 and P=0.537, respectively). PhenoAge interacted with frailty in its effect on mortality (P=0.004) which was particularly prominent among those who were not clinically frail (CFS ≤3).
conclusionsPhenoAge and CFS, both measured at ICU admission, independently predicted hospital mortality. PhenoAge showed a notable interaction with frailty, particularly in non-frail patients.
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