Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study.

peer reviewed ; OBJECTIVE: To establish whether one can build a mortality prediction model for COVID-19 patients based solely on demographics and comorbidity data that outperforms age alone. Such a model could be a precursor to implementing smart lockdowns and vaccine distribution strategies. METHODS: The training cohort comprised 2337 COVID-19 inpatients from nine hospitals in The Netherlands. The clinical outcome was death within 21 days of being discharged. The features were derived from electronic health records collected during admission. Three feature selection methods were used: LASSO,... Mehr ...

Verfasser: Chatterjee, Avishek
Wu, Guangyao
Primakov, Sergey
Oberije, Cary
Woodruff, Henry
Kubben, Pieter
Henry, Ronald
Aries, Marcel J. H.
Beudel, Martijn
Noordzij, Peter G.
Dormans, Tom
Gritters van den Oever, Niels C.
van den Bergh, Joop P.
Wyers, Caroline E.
Simsek, Suat
Douma, Renée
Reidinga, Auke C.
de Kruif, Martijn D.
GUIOT, Julien
Frix, Anne-Noëlle
Louis, Renaud
Moutschen, Michel
LOVINFOSSE, Pierre
Lambin, Philippe
Dokumenttyp: journal article
Erscheinungsdatum: 2021
Verlag/Hrsg.: Public Library of Science
Schlagwörter: Age Factors / Aged / 80 and over / Belgium/epidemiology / COVID-19/diagnosis/epidemiology/mortality / Cohort Studies / Communicable Disease Control / Comorbidity / Electronic Health Records / Female / Hospitalization / Humans / Male / Middle Aged / Netherlands/epidemiology / Prognosis / Risk Assessment / Risk Factors / SARS-CoV-2/isolation & purification / Human health sciences / Radiology / nuclear medicine & imaging / Sciences de la santé humaine / Radiologie / médecine & imagerie nucléaire
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28941182
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://orbi.uliege.be/handle/2268/260748