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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8608| Triage tool for suspected COVID-19 patients in the emergency room: AIFELL score | |
| Ian Levenfus Enrico Ullmann Edouard Battegay Macé M. Schuurmans | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2020.05.09.20096834 | |
| https://www.medrxiv.org/content/10.1101/2020.05.09.20096834v1 | |
| Clinical prediction scores support the assessment of patients in the emergency setting to determine the need for further diagnostic and therapeutic steps. During the current COVID-19 pandemic, physicians in emergency rooms (ER) of many hospitals have a considerably higher patient load and need to decide within a short time frame whom to hospitalize. Based on our clinical experiences in dealing with COVID-19 patients at the University Hospital Zurich, we created a triage score with the acronym AIFELL consisting of clinical, radiological and laboratory findings. The score was then evaluated in a retrospective analysis of 122 consecutive patients with suspected COVID-19 from March until mid-April 2020. Descriptive statistics, Student’s t-test, ANOVA and Scheffe’s post hoc analysis confirmed the diagnostic power of the score. The results suggest that the AIFELL score has potential as a triage tool in the ER setting intended to select probable COVID-19 cases for hospitalization in spontaneously presenting or referred patients with acute respiratory symptoms. | |
| bioRxiv | |
| 15-05-2020 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Triage tool for suspected COVID-19 patients in the emergency room AIFELL score.pdf | 115.87 kB | Adobe PDF | Visualizar/Abrir |