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
in English
| LILACS, Coleciona SUS
| ID: biblio-1142556
Responsible library:
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.
Full text:
Available
Collection:
National databases
/
Brazil
Database:
LILACS
/
Coleciona SUS
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Pandemics
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Braz. j. infect. dis
Year:
2020
Document type:
Article
Institution/Affiliation country:
University Hospital Zurich/CH
/
University of Leipzig Medical Center, Psychotherapy and Psychosomatics/DE
/
University of Zurich/CH