Biological age as a predictor of unplanned intensive care readmission during the same hospitalization

Kwok M Ho1

  • 1Department of Intensive Care Medicine, Fiona Stanley Hospital, Medical School, University of Western Australia, and School of Veterinary & Life Sciences, Murdoch University, Perth, WA 6150, Australia.

Insights

Biological age predicts unplanned intensive care unit (ICU) readmissions. Patients with higher biological age acceleration were more likely to be readmitted to the ICU during the same hospitalization.

Area of Science:

  • Biomedical science
  • Gerontology
  • Critical care medicine

Background:

  • Biological age is a key health predictor, but its role in acute care is unclear.
  • Assessing biological age's utility in intensive care units (ICUs) is crucial for patient outcomes.

Purpose of the Study:

  • To determine if biological age at ICU admission predicts unplanned ICU readmission within the same hospitalization.
  • To investigate the relationship between biological age acceleration and readmission risk.

Main Methods:

  • The Levine PhenoAge model, utilizing DNA methylation biomarkers, calculated biological age.
  • Biological age acceleration (PhenoAgeAccel) was defined as biological age exceeding chronological age.
  • A cohort of 2950 patients was analyzed for readmission rates and PhenoAgeAccel.

Main Results:

  • 5.2% of patients experienced unplanned ICU readmission.
  • PhenoAgeAccel was significantly more prevalent in readmitted patients (52% vs. 43%, p=0.031).
  • Increased biological age acceleration showed a dose-related increase in readmission risk (OR 1.12, p=0.040) after adjustments.

Conclusions:

  • Biological age is a significant predictor of unplanned ICU readmissions.
  • PhenoAgeAccel may serve as a valuable biomarker for identifying patients at higher risk of readmission.
  • Further research can explore interventions targeting biological age in critical care settings.
Abstract

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