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Association of the clinical frailty scale with hospital outcomes.


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Article

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Authors

Wallis, SJ 
Wall, J 
Biram, RWS 
Romero-Ortuno, Roman  ORCID logo  https://orcid.org/0000-0002-3882-7447

Abstract

BACKGROUND: The clinical frailty scale (CFS) was validated as a predictor of adverse outcomes in community-dwelling older people. In our hospital, the use of the CFS in emergency admissions of people aged ≥ 75 years was introduced under the Commissioning for Quality and Innovation payment framework. AIM: We retrospectively studied the association of the CFS with patient characteristics and outcomes. DESIGN: Retrospective observational study in a large tertiary university National Health Service hospital in UK. METHODS: The CFS was correlated with transfer to specialist Geriatric ward, length of stay (LOS), in-patient mortality and 30-day readmission rate. RESULTS: Between 1st August 2013 and 31st July 2014, there were 11 271 emergency admission episodes of people aged ≥ 75 years (all specialties), corresponding to 7532 unique patients (first admissions); of those, 5764 had the CFS measured by the admitting team (81% of them within 72 hr of admission). After adjustment for age, gender, Charlson comorbidity index and history of dementia and/or current cognitive concern, the CFS was an independent predictor of in-patient mortality [odds ratio (OR) = 1.60, 95% confidence interval (CI): 1.48 to 1.74, P < 0.001], transfer to Geriatric ward (OR = 1.33, 95% CI: 1.24 to 1.42, P < 0.001) and LOS ≥ 10 days (OR = 1.19, 95% CI: 1.14 to 1.23, P < 0.001). The CFS was not a multivariate predictor of 30-day readmission. CONCLUSIONS: The CFS may help predict in-patient mortality and target specialist geriatric resources within the hospital. Usual hospital metrics such as mortality and LOS should take into account measurable patient complexity.

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Keywords

Aged, Aged, 80 and over, Emergencies, England, Female, Frail Elderly, Geriatric Assessment, Health Status Indicators, Hospitalization, Humans, Length of Stay, Male, Outcome Assessment, Health Care, Patient Readmission, Prognosis, ROC Curve, Retrospective Studies

Journal Title

QJM

Conference Name

Journal ISSN

1460-2725
1460-2393

Volume Title

108

Publisher

Oxford University Press (OUP)