Value of dynamic clinical and biomarker data for mortality risk prediction in COVID-19: a multicentre retrospective cohort study

OBJECTIVES: Being able to predict which patients with COVID-19 are going to deteriorate is important to help identify patients for clinical and research practice. Clinical prediction models play a critical role in this process, but current models are of limited value because they are typically restr...

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Detalles Bibliográficos
Autores principales: Berzuini, Carlo, Hannan, Cathal, King, Andrew, Vail, Andy, O'Leary, Claire, Brough, David, Galea, James, Ogungbenro, Kayode, Wright, Megan, Pathmanaban, Omar, Hulme, Sharon, Allan, Stuart, Bernardinelli, Luisa, Patel, Hiren C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Research Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513423/
https://www.ncbi.nlm.nih.gov/pubmed/32967887
http://dx.doi.org/10.1136/bmjopen-2020-041983

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513423/
https://www.ncbi.nlm.nih.gov/pubmed/32967887
http://dx.doi.org/10.1136/bmjopen-2020-041983

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