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Clinical Frailty Scale in older adults admitted at Emergency Department: is baseline frailty a good predictor of Ninety-Day Mortality?

Abstract

Objective

To evaluate the ability of the Clinical Frailty Scale (CFS) to predict 90-day mortality and other poor outcomes in older adults admitted at a Hospital Emergency Department (ED).

Method

This is a prospective cohort study including older adults admitted at ED of a Public Hospital who spent at least one night in it. The degree of baseline frailty was assessed through the CFS, and its score was the predictor studied, through the Receiver Operator Characteristics (ROC) curve analysis. We analyzed 90-day mortality as a primary outcome. The following outcomes were considered as secondary ones: mortality, functional decline, readmittance to ED, readmission and need for home care.

Results

206 participants were included. Of the 127 frail older adults, 40 (31.5%) died before the 90th day compared to 5 (6.3%) in the non-frail group (p<0.001). After adjustment for demographic and clinical variables, frailty remained in the model as an independent predictor of 90-day mortality. The accuracy obtained by the ROC curve (AUROC) for predicting 90-day mortality was 0.81. For 180-day mortality, 0.80, for the need for home care, 0.77 for readmission, 0.65. For the other outcomes studied, the accuracy was not significant.

Conclusion

Baseline frailty measured by the CFS is a good predictor of 90 and 180-day mortality and needing for home care in older adults admitted to ED. Its application in this setting might help clinical decision-making.

Keywords
Frailty; Aging; Risk factors; Mortality; Emergency Department

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