Triage tool for suspected COVID-19 patients in the emergency room: AIFELL score
Braz. j. infect. dis
; 24(5): 458-461, Sept.-Oct. 2020. tab
Article
em En
| LILACS, ColecionaSUS
| ID: biblio-1142556
Biblioteca responsável:
BR1.1
ABSTRACT
Abstract 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 in 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.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
LILACS
Assunto principal:
Pneumonia Viral
/
Infecções por Coronavirus
/
Pandemias
Tipo de estudo:
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Braz. j. infect. dis
Assunto da revista:
DOENCAS TRANSMISSIVEIS
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Alemanha
/
Suíça