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CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232748/ http://dx.doi.org/10.1016/j.jval.2022.04.165 |
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author | Holy, C Patterson, B Ruppenkamp, J Richards, F Debnath, R DeMartino, JK Bookhart, B El Khoury, AC Coplan, P |
author_facet | Holy, C Patterson, B Ruppenkamp, J Richards, F Debnath, R DeMartino, JK Bookhart, B El Khoury, AC Coplan, P |
author_sort | Holy, C |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-9232748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92327482022-06-27 CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis Holy, C Patterson, B Ruppenkamp, J Richards, F Debnath, R DeMartino, JK Bookhart, B El Khoury, AC Coplan, P Value Health Article Published by Elsevier Inc. 2022-07 2022-06-25 /pmc/articles/PMC9232748/ http://dx.doi.org/10.1016/j.jval.2022.04.165 Text en Copyright © 2022 Published by Elsevier Inc. 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 | Article Holy, C Patterson, B Ruppenkamp, J Richards, F Debnath, R DeMartino, JK Bookhart, B El Khoury, AC Coplan, P CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis |
title | CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis |
title_full | CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis |
title_fullStr | CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis |
title_full_unstemmed | CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis |
title_short | CO67 Predictors of Long COVID in Patients with Severe COVID-19 - a US Healthcare Database Analysis |
title_sort | co67 predictors of long covid in patients with severe covid-19 - a us healthcare database analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9232748/ http://dx.doi.org/10.1016/j.jval.2022.04.165 |
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