Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland

Development of a prognostic model of COVID-19 severity: a population-based cohort study in Iceland

Abstract Background The severity of SARS-CoV-2 infection varies from asymptomatic state to severe respiratory failure and the clinical course is difficult to predict. The aim of the study was to develop a prognostic model to predict the severity of COVID-19 in unvaccinated adults at the time of diag...

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Main Authors: Elias Eythorsson, Valgerdur Bjarnadottir, Hrafnhildur Linnet Runolfsdottir, Dadi Helgason, Ragnar Freyr Ingvarsson, Helgi K. Bjornsson, Lovisa Bjork Olafsdottir, Solveig Bjarnadottir, Arnar Snaer Agustsson, Kristin Oskarsdottir, Hrafn Hliddal Thorvaldsson, Gudrun Kristjansdottir, Aron Hjalti Bjornsson, Arna R. Emilsdottir, Brynja Armannsdottir, Olafur Gudlaugsson, Sif Hansdottir, Magnus Gottfredsson, Agnar Bjarnason, Martin I. Sigurdsson, Olafur S. Indridason, Runolfur Palsson
Format: Article
Language:English
Published: BMC 2022-09-01
Series:Diagnostic and Prognostic Research
Subjects:
SARS-CoV-2
COVID-19
Clinical decision rules
Prognostic model
Prediction model
Online Access:https://doi.org/10.1186/s41512-022-00130-0

Internet

https://doi.org/10.1186/s41512-022-00130-0

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