COVID-19; coronavirus; prognosis; laboratory tests; biological features
Abstract :
[en] The aim of this study was to identify early clinical and laboratory predictive factors of a severe coronavirus disease 2019 (COVID-19). The study revealed clinical and laboratory features able to predict high risk of ICU requirement, or even death, at admission time. These results provide a potential tool for patient’s triage in a context of pandemic.
Research center :
HEC Recherche. Supply Chain Management and Business Analytics - ULiège Mathematics - ULiège
Disciplines :
Immunology & infectious disease
Author, co-author :
Sepulchre, Edith ; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Pittie, Guillaume; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Stojkovic, Violeta; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Haesbroeck, Gentiane ; Université de Liège - ULiège > Département de mathématique > Statistique mathématique
Crama, Yves ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations: Rech. opérationnelle et gest. de la product.
Schyns, Michael ; Université de Liège - ULiège > HEC Liège : UER > UER Opérations : Informatique de gestion
Paridaens, Henry; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
de Marchin, Jérôme; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Degesves, Stéphane; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Biemar, Christian; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Boccar, Sandrine; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Senterre, Jean-Marc; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
Minon, Jean-Marc; Centre Hospitalier Régional de la Citadelle (Liège) - CHR CITADELLE
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