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Is increasing age associated with mortality in the critically ill elderly
1Department of Geriatric Medicine, Tan Tock Seng Hospital, Singapore. ian_leong@ttsh.gov.sg
Singapore Medical Journal
|May 15, 2002
Summary
Age is not a predictor of intensive care unit (ICU) or hospital mortality. This study found no statistically significant association between advanced age and patient outcomes, suggesting age should not guide resource allocation.
Area of Science:
- Gerontology
- Critical Care Medicine
- Health Services Research
Background:
- Advanced age is often considered a predictor of mortality in intensive care units (ICUs).
- Age has been proposed as a criterion for rationing critical care resources.
- This study aimed to investigate the association between age and mortality in ICU patients.
Purpose of the Study:
- To determine if advanced age is independently associated with increased ICU mortality.
- To evaluate the relationship between age and overall hospital mortality.
- To inform resource allocation decisions by examining age as a mortality predictor.
Main Methods:
- Retrospective analysis of patients admitted to a Medical ICU (MICU) in 1998.
- Patients were stratified into four age groups: 55-64, 65-74, 75-84, and over 85 years.
- Statistical models controlled for disease severity using the APACHE II score (age-excluded), number of organ failures, and high-risk diagnosis.
Main Results:
- After adjusting for disease severity, age was not significantly associated with ICU mortality.
- Similarly, hospital mortality showed no statistically significant association with patient age.
- Disease severity (APACHE II score), number of organ failures, and high-risk diagnosis were significant predictors of both ICU and hospital mortality.
Conclusions:
- No statistically significant association was found between patient age and mortality in the ICU or hospital.
- The findings suggest that age alone should not be used as a criterion for ICU admission or resource allocation.
- Clinical severity scores and specific diagnoses are more critical factors in predicting patient outcomes.