Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients:A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records

Purpose: To assess, validate and compare the predictive performance of models for in-hospital mortality of COVID-19 patients admitted to the intensive care unit (ICU) over two different waves of infections. Our models were built with high-granular Electronic Health Records (EHR) data versus less-granular registry data. Methods: Observational study of all COVID-19 patients admitted to 19 Dutch ICUs participating in both the national quality registry National Intensive Care Evaluation (NICE) and the EHR-based Dutch Data Warehouse (hereafter EHR). Multiple models were developed on data from the f... Mehr ...

Verfasser: Vagliano, Iacopo
Schut, Martijn C.
Abu-Hanna, Ameen
Dongelmans, Dave A.
de Lange, Dylan W.
Gommers, Diederik
Cremer, Olaf L.
Bosman, Rob J.
Rigter, Sander
Wils, Evert-Jan
Frenzel, Tim
de Jong, Remko
Peters, Marco A. A.
Kamps, Marlijn J. A.
Ramnarain, Dharmanand
Nowitzky, Ralph
Nooteboom, Fleur G. C. A.
de Ruijter, Wouter
Urlings-Strop, Louise C.
Smit, Ellen G. M.
Mehagnoul-Schipper, D. Jannet
Dormans, Tom
de Jager, Cornelis P. C.
Hendriks, Stefaan H. A.
Achterberg, Sefanja
Oostdijk, Evelien
Reidinga, Auke C.
Festen-Spanjer, Barbara
Brunnekreef, Gert B.
Cornet, Alexander D.
van den Tempel, Walter
Boelens, Age D.
Koetsier, Peter
Lens, Judith
Faber, Harald J.
Karakus, A.
Entjes, Robert
de Jong, Paul
Rettig, Thijs C. D.
Reuland, M. C.
Arbous, Sesmu
Fleuren, Lucas M.
Dam, Tariq A.
Thoral, Patrick J.
Lalisang, Robbert C. A.
Tonutti, Michele
de Bruin, Daan P.
Elbers, Paul W. G.
de Keizer, Nicolette F.
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: Vagliano , I , Schut , M C , Abu-Hanna , A , Dongelmans , D A , de Lange , D W , Gommers , D , Cremer , O L , Bosman , R J , Rigter , S , Wils , E-J , Frenzel , T , de Jong , R , Peters , M A A , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Achterberg , S , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G B , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Faber , H J , Karakus , A , Entjes , R , de Jong , P , Rettig , T C D , Reuland , M C , Arbous , S , Fleuren , L M , Dam , T A , Thoral , P J , Lalisang , R C A , Tonutti , M , de Bruin , D P , Elbers , P W G & de Keizer , N F 2022 , ' Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients : A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records ' , International Journal of Medical Informatics , vol. 167 , 104863 . https://doi.org/10.1016/j.ijmedinf.2022.104863
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27232833
Datenquelle: BASE; Originalkatalog
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Link(s) : https://research.vumc.nl/en/publications/a3f5211f-c05b-4dc0-9fbc-32625c6ebf35