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10.1016/j.bjid.2020.07.003

http://scihub22266oqcxt.onion/10.1016/j.bjid.2020.07.003
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suck abstract from ncbi


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pmid32828735      Braz+J+Infect+Dis 2020 ; 24 (5): 458-461
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  • Triage tool for suspected COVID-19 patients in the emergency room: AIFELL score #MMPMID32828735
  • Levenfus I; Ullmann E; Battegay E; Schuurmans MM
  • Braz J Infect Dis 2020[Sep]; 24 (5): 458-461 PMID32828735show ga
  • 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.
  • |*Coronavirus Infections/epidemiology[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/epidemiology[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Emergency Service, Hospital[MESH]
  • |Humans[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]


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