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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
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 |
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