Scoring the Clinical Frailty Scale in the Emergency Department: The Home FIRsT Experience.

Owen Thorpe, Elva McCabe, Elena Marie Herrero, William Ormiston Doyle, Aoife Dillon, Lucinda Edge, Sinéad Flynn, Anna Mullen, Aisling Davis, Aoife Molamphy, Anna Kirwan, Robert Briggs, Amanda H Lavan, Darragh Shields, Geraldine McMahon, Arthur Hennessy, Una Kennedy, Paul Staunton, Emer Kidney, Sarah-Jane Yeung, Deirdre Glynn, Frances Horgan, Conal Cunningham, Roman Romero-Ortuno
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Abstract

We evaluated predictors of the Clinical Frailty Scale (CFS) scored by an interdisciplinary team (Home FIRsT) performing comprehensive geriatric assessment (CGA) in our Emergency Department (ED). This was a retrospective observational study (service evaluation) utilising ED-based CGA data routinely collected by Home FIRsT between January and October 2020. A linear regression model was computed to establish independent predictors of CFS. This was complemented by a classification and regression tree (CRT) to evaluate the main predictors. There were 799 Home FIRsT episodes, of which 740 were unique patients. The CFS was scored on 658 (89%) (median 4, range 1-8; mean age 81 years, 61% women). Independent predictors of higher CFS were older age (p<0.001), history of dementia (p<0.001), mobility (p≤0.007), disability (p<0.001), and higher acuity of illness (p=0.009). Disability and mobility were the main classifiers in the CRT. Results suggest appropriate CFS scoring informed by functional baseline.

Abstract Image

急诊科临床虚弱量表评分:家庭第一经验。
我们评估了临床虚弱量表(CFS)的预测因子,该量表由一个跨学科团队(Home FIRsT)在我们的急诊科(ED)进行综合老年评估(CGA)。这是一项回顾性观察性研究(服务评估),利用Home FIRsT在2020年1月至10月期间常规收集的基于ed的CGA数据。计算线性回归模型建立CFS的独立预测因子。通过分类和回归树(CRT)来评估主要预测因子。共有799次Home FIRsT发作,其中740例为特殊患者。CFS评分为658分(89%)(中位数4,范围1-8;平均年龄81岁,61%为女性)。较高CFS的独立预测因子是年龄较大(p
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