Baseline Frailty as a Predictor of Survival After Critical Care
- Additional Document Info
- View All
BACKGROUND: The extent by which the degree of baseline frailty, as measured using standardized multidimensional health assessments before admission to hospital, predicts survival among older adults following admission to an intensive care unit (ICU) remains unclear. RESEARCH QUESTION: Is baseline frailty an independent predictor of survival among older adults receiving care in an ICU? STUDY DESIGN AND METHODS: Retrospective cohort study of community-dwelling older adults (age ≥65 years) receiving public home services that were admitted to any ICU in Ontario, Canada between April 1st, 2009 and March 31st, 2015. All individuals had an interRAI-Home Care (RAI-HC) assessment completed within 180 days of ICU admission; these assessments were linked to hospital discharge abstract records. Patients were categorized using frailty measures each calculated from the RAI-HC: a classification tree version of the Clinical Frailty Scale (CFS); the Frailty Index - Acute Care (FI-AC); and the Changes in Health, End-Stage Disease, Signs, and Symptoms Scale (CHESS). One-year survival models were used to compare their performance. Patients were stratified based on the receipt of mechanical ventilation in the ICU. RESULTS: Of 24,499 individuals admitted to an ICU within 180 days of a RAI-HC assessment, 264% (6,467) received mechanical ventilation. Overall, 43.0% (95% CI 42.4% - 43.6%) survived 365 days after ICU admission. In general, among the overall cohort and both mechanical ventilation sub-groups, mortality hazards increased with the severity of baseline frailty. Models predicting survival 30, 90 and 365 days after admission to an ICU that adjusted for one of the frailty measures were more discriminant than reference models that adjusted only for age, sex, major clinical category, and area income quintile. INTERPRETATION: Severity of baseline frailty is independently associated with survival after ICU admission and should be considered when determining goals-of-care and treatment plans for persons with critical illness.
has subject area