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
{"title":"Scoring the Clinical Frailty Scale in the Emergency Department: The Home FIRsT Experience.","authors":"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","doi":"10.22540/JFSF-07-095","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":73754,"journal":{"name":"Journal of frailty, sarcopenia and falls","volume":" ","pages":"95-100"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/1e/0f/JFSF-7-095.PMC9175280.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of frailty, sarcopenia and falls","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22540/JFSF-07-095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.