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

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dc.contributor.author Eythorsson, Elias
dc.contributor.author Bjarnadottir, Valgerdur
dc.contributor.author Runólfsdóttir, Hrafnhildur L.
dc.contributor.author Helgason, Dadi
dc.contributor.author Ingvarsson, Ragnar Freyr
dc.contributor.author Björnsson, Helgi Kristinn
dc.contributor.author Ólafsdóttir, Lovísa Björk
dc.contributor.author Bjarnadottir, Solveig
dc.contributor.author Ágústsson, Arnar Snær
dc.contributor.author Oskarsdottir, Kristin
dc.contributor.author Thorvaldsson, Hrafn Hliddal
dc.contributor.author Kristjansdottir, Gudrun
dc.contributor.author Björnsson, Aron Hjalti
dc.contributor.author Emilsdóttir, Arna Rut
dc.contributor.author Ármannsdóttir, Brynja
dc.contributor.author Guðlaugsson, Ólafur
dc.contributor.author Hansdóttir, Sif
dc.contributor.author Gottfreðsson, Magnús
dc.contributor.author Bjarnason, Agnar
dc.contributor.author Sigurðsson, Martin Ingi
dc.contributor.author Indriðason, Ólafur Skúli
dc.contributor.author Pálsson, Runólfur
dc.date.accessioned 2023-03-21T01:03:35Z
dc.date.available 2023-03-21T01:03:35Z
dc.date.issued 2022-09-08
dc.identifier.citation Eythorsson , E , Bjarnadottir , V , Runólfsdóttir , H L , Helgason , D , Ingvarsson , R F , Björnsson , H K , Ólafsdóttir , L B , Bjarnadottir , S , Ágústsson , A S , Oskarsdottir , K , Thorvaldsson , H H , Kristjansdottir , G , Björnsson , A H , Emilsdóttir , A R , Ármannsdóttir , B , Guðlaugsson , Ó , Hansdóttir , S , Gottfreðsson , M , Bjarnason , A , Sigurðsson , M I , Indriðason , Ó S & Pálsson , R 2022 , ' Development of a prognostic model of COVID-19 severity : a population-based cohort study in Iceland ' , Diagnostic and prognostic research , vol. 6 , no. 1 , pp. 17 . https://doi.org/10.1186/s41512-022-00130-0
dc.identifier.issn 2397-7523
dc.identifier.other 106672286
dc.identifier.other bab38e7a-6929-40f4-b3b0-4e55fe520390
dc.identifier.other 36071509
dc.identifier.other PubMedCentral: PMC9451645
dc.identifier.uri https://hdl.handle.net/20.500.11815/4085
dc.description © 2022. The Author(s).
dc.description.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 diagnosis. METHODS: All SARS-CoV-2-positive adults in Iceland were prospectively enrolled into a telehealth service at diagnosis. A multivariable proportional-odds logistic regression model was derived from information obtained during the enrollment interview of those diagnosed between February 27 and December 31, 2020 who met the inclusion criteria. Outcomes were defined on an ordinal scale: (1) no need for escalation of care during follow-up; (2) need for urgent care visit; (3) hospitalization; and (4) admission to intensive care unit (ICU) or death. Missing data were multiply imputed using chained equations and the model was internally validated using bootstrapping techniques. Decision curve analysis was performed. RESULTS: The prognostic model was derived from 4756 SARS-CoV-2-positive persons. In total, 375 (7.9%) only required urgent care visits, 188 (4.0%) were hospitalized and 50 (1.1%) were either admitted to ICU or died due to complications of COVID-19. The model included age, sex, body mass index (BMI), current smoking, underlying conditions, and symptoms and clinical severity score at enrollment. On internal validation, the optimism-corrected Nagelkerke's R2 was 23.4% (95%CI, 22.7-24.2), the C-statistic was 0.793 (95%CI, 0.789-0.797) and the calibration slope was 0.97 (95%CI, 0.96-0.98). Outcome-specific indices were for urgent care visit or worse (calibration intercept -0.04 [95%CI, -0.06 to -0.02], Emax 0.014 [95%CI, 0.008-0.020]), hospitalization or worse (calibration intercept -0.06 [95%CI, -0.12 to -0.03], Emax 0.018 [95%CI, 0.010-0.027]), and ICU admission or death (calibration intercept -0.10 [95%CI, -0.15 to -0.04] and Emax 0.027 [95%CI, 0.013-0.041]). CONCLUSION: Our prognostic model can accurately predict the later need for urgent outpatient evaluation, hospitalization, and ICU admission and death among unvaccinated SARS-CoV-2-positive adults in the general population at the time of diagnosis, using information obtained by telephone interview.
dc.format.extent 1862384
dc.format.extent 17
dc.language.iso en
dc.relation.ispartofseries Diagnostic and prognostic research; 6(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Næringarfræðingar
dc.subject Smitsjúkdómalæknisfræði
dc.subject Lungnalæknisfræði
dc.subject Svæfinga- og gjörgæslulæknisfræði
dc.subject Nýrnalæknisfræði
dc.title Development of a prognostic model of COVID-19 severity : a population-based cohort study in Iceland
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article
dc.description.version Peer reviewed
dc.identifier.doi 10.1186/s41512-022-00130-0
dc.contributor.department Internal Medicine and Emergency Services
dc.contributor.department Other departments
dc.contributor.department Faculty of Medicine
dc.contributor.department Perioperative Services


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