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COVID-19 Severity Index: A predictive score for hospitalized patients()
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier España, S.L.U. and SEMICYUC.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629742/ https://www.ncbi.nlm.nih.gov/pubmed/34896032 http://dx.doi.org/10.1016/j.medine.2020.12.002 |
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author | Huespe, I. Carboni Bisso, I. Di Stefano, S. Terrasa, S. Gemelli, N.A. Las Heras, M. |
author_facet | Huespe, I. Carboni Bisso, I. Di Stefano, S. Terrasa, S. Gemelli, N.A. Las Heras, M. |
author_sort | Huespe, I. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-8629742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier España, S.L.U. and SEMICYUC. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86297422021-11-30 COVID-19 Severity Index: A predictive score for hospitalized patients() Huespe, I. Carboni Bisso, I. Di Stefano, S. Terrasa, S. Gemelli, N.A. Las Heras, M. Med Intensiva (Engl Ed) Scientific Letter Elsevier España, S.L.U. and SEMICYUC. 2022-02 2021-11-30 /pmc/articles/PMC8629742/ /pubmed/34896032 http://dx.doi.org/10.1016/j.medine.2020.12.002 Text en © 2020 Elsevier España, S.L.U. and SEMICYUC. 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 | Scientific Letter Huespe, I. Carboni Bisso, I. Di Stefano, S. Terrasa, S. Gemelli, N.A. Las Heras, M. COVID-19 Severity Index: A predictive score for hospitalized patients() |
title | COVID-19 Severity Index: A predictive score for hospitalized patients() |
title_full | COVID-19 Severity Index: A predictive score for hospitalized patients() |
title_fullStr | COVID-19 Severity Index: A predictive score for hospitalized patients() |
title_full_unstemmed | COVID-19 Severity Index: A predictive score for hospitalized patients() |
title_short | COVID-19 Severity Index: A predictive score for hospitalized patients() |
title_sort | covid-19 severity index: a predictive score for hospitalized patients() |
topic | Scientific Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629742/ https://www.ncbi.nlm.nih.gov/pubmed/34896032 http://dx.doi.org/10.1016/j.medine.2020.12.002 |
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