A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection

The strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-19 severity.

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Autores principales:	Villena-Ortiz Yolanda, Giralt Marina, Castellote-Bellés Laura, Lopez-Martínez Rosa M., Martinez-Sanchez Luisa, García-Fernández Alba Estela, Ferrer-Costa Roser, Rodríguez-Frias Francisco, Casis Ernesto
Formato:	article
Lenguaje:	EN ES
Publicado:	De Gruyter 2021
Materias:	covid-19 logistic model sars-cov-2 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/9eca084f3d6f412f9fd89a794923c5e7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:9eca084f3d6f412f9fd89a794923c5e72021-12-05T14:10:39ZA descriptive and validation study of a predictive model of severity of SARS-COV-2 infection2628-491X10.1515/almed-2021-0039https://doaj.org/article/9eca084f3d6f412f9fd89a794923c5e72021-05-01T00:00:00Zhttps://doi.org/10.1515/almed-2021-0039https://doaj.org/toc/2628-491XThe strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-19 severity.Villena-Ortiz YolandaGiralt MarinaCastellote-Bellés LauraLopez-Martínez Rosa M.Martinez-Sanchez LuisaGarcía-Fernández Alba EstelaFerrer-Costa RoserRodríguez-Frias FranciscoCasis ErnestoDe Gruyterarticlecovid-19logistic modelsars-cov-2Medical technologyR855-855.5ENESAdvances in Laboratory Medicine, Vol 2, Iss 3, Pp 390-398 (2021)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	covid-19 logistic model sars-cov-2 Medical technology R855-855.5
spellingShingle	covid-19 logistic model sars-cov-2 Medical technology R855-855.5 Villena-Ortiz Yolanda Giralt Marina Castellote-Bellés Laura Lopez-Martínez Rosa M. Martinez-Sanchez Luisa García-Fernández Alba Estela Ferrer-Costa Roser Rodríguez-Frias Francisco Casis Ernesto A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
description	The strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-19 severity.
format	article
author	Villena-Ortiz Yolanda Giralt Marina Castellote-Bellés Laura Lopez-Martínez Rosa M. Martinez-Sanchez Luisa García-Fernández Alba Estela Ferrer-Costa Roser Rodríguez-Frias Francisco Casis Ernesto
author_facet	Villena-Ortiz Yolanda Giralt Marina Castellote-Bellés Laura Lopez-Martínez Rosa M. Martinez-Sanchez Luisa García-Fernández Alba Estela Ferrer-Costa Roser Rodríguez-Frias Francisco Casis Ernesto
author_sort	Villena-Ortiz Yolanda
title	A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
title_short	A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
title_full	A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
title_fullStr	A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
title_full_unstemmed	A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
title_sort	descriptive and validation study of a predictive model of severity of sars-cov-2 infection
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/9eca084f3d6f412f9fd89a794923c5e7
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A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection

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