Development and validation of an algorithm to estimate the risk of severe complications of COVID-19:A retrospective cohort study in primary care in the Netherlands

Objective To develop an algorithm (sCOVID) to predict the risk of severe complications of COVID-19 in a community-dwelling population to optimise vaccination scenarios. Design Population-based cohort study. Setting 264 Dutch general practices contributing to the NL-COVID database. Participants 6074 people aged 0-99 diagnosed with COVID-19. Main outcomes Severe complications (hospitalisation, institutionalisation, death). The algorithm was developed from a training data set comprising 70% of the patients and validated in the remaining 30%. Potential predictor variables included age, sex, chroni... Mehr ...

Verfasser: Herings, Ron M. C.
Swart, Karin M. A.
van der Zeijst, Bernard A. M.
van der Heijden, Amber A.
van der Velden, Koos
Hiddink, Eric G.
Heymans, Martijn W.
Herings, Reinier A. R.
van Hout, Hein P. J.
Beulens, Joline W. J.
Nijpels, Giel
Elders, Petra J. M.
Dokumenttyp: Artikel
Erscheinungsdatum: 2021
Reihe/Periodikum: Herings , R M C , Swart , K M A , van der Zeijst , B A M , van der Heijden , A A , van der Velden , K , Hiddink , E G , Heymans , M W , Herings , R A R , van Hout , H P J , Beulens , J W J , Nijpels , G & Elders , P J M 2021 , ' Development and validation of an algorithm to estimate the risk of severe complications of COVID-19 : A retrospective cohort study in primary care in the Netherlands ' , BMJ Open , vol. 11 , no. 12 , e050059 . https://doi.org/10.1136/bmjopen-2021-050059
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29215659
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.vumc.nl/en/publications/b68af7fb-f5fe-44f8-925c-03ade20faa77