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Biological age as a predictor of unplanned intensive care readmission during the same hospitalization
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.
Background:
Biological age is increasingly being recognized as an important predictor of health but its utility in acute care setting remains uncertain.
Objective:
We assessed whether biological age on intensive care unit (ICU) admission can predict unplanned ICU readmission during the same hospitalization.
Methods:
The Levine PhenoAge model based on biomarkers of DNA methylation was used to determine each patient's biological age. The difference between PhenoAge and chronological age was indexed to the local context by regressing PhenoAge on chronological age using linear regression. A positive residual implied one's biological age was older than the corresponding chronological age compared to other patients - defined as PhenoAgeAccel.
Results:
Of the 2950 patients included, 153 (5.2%) had unplanned ICU readmission. Chronological age, Acute Physiology and Chronic Health Evaluation II score, the use of mechanical ventilation, vasopressor, or renal replacement therapy were not significantly different between those with and without readmission. PhenoAgeAccel was, however, more common among those who had unplanned ICU readmission (52% vs 43%, p =0.031). Quantitatively, the degree of phenotypical age above chronological age exhibited a 'dose-related' relationship with the risk of readmission (odds ratio 1.12, 95% confidence interval 1.01-1.24; p=0.040) after adjusting for chronological age, comorbidities, and severity of acute illness in the index (first) ICU admission.
Conclusion:
Biological age was predictive of unplanned ICU readmission during the same hospitalization.
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