Predictive Accuracy of COVID-19 World Health Organization (WHO) Severity Classification and Comparison with a Bayesian-Method-Based Severity Score (EPI-SCORE)

Objectives: Assess the predictive accuracy of the WHO COVID-19 severity classification on COVID-19 hospitalized patients. The secondary aim was to compare its predictive power with a new prediction model, named COVID-19 EPI-SCORE, based on a Bayesian network analysis. Methods: We retrospectively ana...

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Detalles Bibliográficos
Autores principales: de Terwangne, Christophe, Laouni, Jabber, Jouffe, Lionel, Lechien, Jerome R., Bouillon, Vincent, Place, Sammy, Capulzini, Lucio, Machayekhi, Shahram, Ceccarelli, Antonia, Saussez, Sven, Sorgente, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692702/
https://www.ncbi.nlm.nih.gov/pubmed/33114416
http://dx.doi.org/10.3390/pathogens9110880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692702/
https://www.ncbi.nlm.nih.gov/pubmed/33114416
http://dx.doi.org/10.3390/pathogens9110880

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