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: BMJ Open ; volume 11, issue 12, page e050059 ; ISSN 2044-6055 2044-6055
Verlag/Hrsg.: BMJ
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-30463580
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://dx.doi.org/10.1136/bmjopen-2021-050059