Which frailty tool best predicts morbidity and mortality in ambulatory patients with heart failure?
The Clinical Frailty Scale (CFS) is a simple screening tool that significantly improves mortality prediction in ambulatory heart failure patients, performing comparably to more complex frailty assessments.
BACKGROUND: Frailty is common in patients with heart failure (HF) and is associated with adverse outcome, but it is uncertain how frailty should best be measured. OBJECTIVES: To compare the prognostic value of commonly-used frailty tools in ambulatory patients with HF. METHODS AND RESULTS: We assessed, simultaneously, three screening tools clinical frailty scale (CFS); Derby frailty index (DFI); acute frailty network (AFN) frailty criteria), three assessment tools (Fried criteria; Edmonton frailty score (EFS); deficit index (DI)) and three physical tests (handgrip strength, timed get-up-and-go test (TUGT), 5-metre walk test (5MWT) in consecutive patients with HF attending a routine follow-up visit. 467 patients (67% male, median age = 76 years, median NT-proBNP = 1156 ng/L) were enrolled. During a median follow-up of 554 days, 82 (18%) patients died and 201 (43%) patients were either hospitalised or died. In models corrected for age, Charlson score, haemoglobin, renal function, sodium, NYHA, atrial fibrillation (AF), and body mass index, only logNT-proBNP and frailty were independently associated with all-cause death. A base model for predicting mortality at 1 year including NYHA, logNT-proBNP, sodium and AF, had a C-statistic = 0.75. Amongst screening tools: CFS (C-statistic = 0.84); amongst assessment tools: DI (C-statistic = 0.83) and amongst physical test: 5MWT (C-statistic = 0.80), increased model performance most compared with base model (P <0.05 for all). CONCLUSION: Frailty is strongly associated with adverse outcomes in ambulatory patients with HF. When added to a base model for predicting mortality at 1 year including NYHA, NT-proBNP, sodium, and AF, CFS provides comparable prognostic information with assessment tools taking longer to perform.
Sze et al. (Thu,) studied this question.
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