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Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response

Detalles Bibliográficos
Autores principales: Viteri-Nöel, Adrian, Martínez-Lacalzada, Miguel, Fabregate, Martin, Manzano, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830146/
https://www.ncbi.nlm.nih.gov/pubmed/35151868
http://dx.doi.org/10.1016/j.cmi.2022.02.007
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author Viteri-Nöel, Adrian
Martínez-Lacalzada, Miguel
Fabregate, Martin
Manzano, Luis
author_facet Viteri-Nöel, Adrian
Martínez-Lacalzada, Miguel
Fabregate, Martin
Manzano, Luis
author_sort Viteri-Nöel, Adrian
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spelling pubmed-88301462022-02-11 Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response Viteri-Nöel, Adrian Martínez-Lacalzada, Miguel Fabregate, Martin Manzano, Luis Clin Microbiol Infect Letter to the Editor European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. 2022-08 2022-02-10 /pmc/articles/PMC8830146/ /pubmed/35151868 http://dx.doi.org/10.1016/j.cmi.2022.02.007 Text en © 2022 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Letter to the Editor
Viteri-Nöel, Adrian
Martínez-Lacalzada, Miguel
Fabregate, Martin
Manzano, Luis
Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
title Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
title_full Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
title_fullStr Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
title_full_unstemmed Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
title_short Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
title_sort predicting critical illness on initial diagnosis of covid-19 based on easily-obtained clinical variables: author's response
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830146/
https://www.ncbi.nlm.nih.gov/pubmed/35151868
http://dx.doi.org/10.1016/j.cmi.2022.02.007
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