SARC-F at the Emergency Department: Diagnostic Performance for Frailty and Predictive Performance for Reattendances and Acute Hospitalizations
| Autor: | Wee Shiong Lim, M. Bao, Edward Chong, Eileen Fabia Goh |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Predictive validity
medicine.medical_specialty Sarcopenia Medicine (miscellaneous) Logistic regression Quality of life Surveys and Questionnaires medicine Humans Geriatric Assessment Aged Aged 80 and over Univariate analysis Nutrition and Dietetics Frailty business.industry Odds ratio Emergency department medicine.disease Confidence interval Hospitalization Emergency medicine Quality of Life Geriatrics and Gerontology business Emergency Service Hospital |
| Zdroj: | The journal of nutrition, healthaging. 25(9) |
| ISSN: | 1760-4788 |
| Popis: | Sarcopenia is associated with adverse health outcomes including mortality, functional loss, falls, and poorer quality of life. However, the value of screening sarcopenia at the Emergency Department (ED) remains unclear. We aimed to examine the SARC-F questionnaire for its (1) diagnostic ability in identifying frailty, and (2) predictive ability for adverse health outcomes. A secondary analysis of a quasi-experimental study. Setting: An ED within a 1700-bed tertiary hospital. ED patients aged ≥85 years (mean age 90.0 years) recruited into the Emergency Department Interventions of Frailty (EDIFY) study. Data of demographics, premorbid function, frailty status [Frailty Index (FI), Clinical Frailty Scale (CFS), FRAIL], comorbidities, medications, and cognitive status were gathered. We also captured outcomes of mortality, acute hospitalization, and ED reattendance at 3-, and 6-month. We then compared area under the operating characteristic curves (AUCs) for the abovementioned measures against the FI (reference) for diagnosis of frailty. Lastly, we performed univariate analyses and logistic regression to compare SARC-F and other measures against the adverse outcomes of interest. RESULTS: Amongst the various instruments, the SARC-F (AUC 0.92, 95% Confidence Interval (CI) 0.86-0.98, P |
| Databáze: | OpenAIRE |
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