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A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
European Association for the Study of the Liver. Published by Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252343/ http://dx.doi.org/10.1016/S0168-8278(22)00782-6 |
| _version_ | 1784740242123653120 |
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| author | Lee, David Uihwan Cohen, Jason Fan, Gregory Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza |
| author_facet | Lee, David Uihwan Cohen, Jason Fan, Gregory Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza |
| author_sort | Lee, David Uihwan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9252343 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | European Association for the Study of the Liver. Published by Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-92523432022-07-05 A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 Lee, David Uihwan Cohen, Jason Fan, Gregory Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza J Hepatol POSTER PRESENTATIONS: Thursday 23 June: Public Health European Association for the Study of the Liver. Published by Elsevier B.V. 2022-07 2022-07-04 /pmc/articles/PMC9252343/ http://dx.doi.org/10.1016/S0168-8278(22)00782-6 Text en Copyright © 2022 European Association for the Study of the Liver. Published by Elsevier B.V. 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 | POSTER PRESENTATIONS: Thursday 23 June: Public Health Lee, David Uihwan Cohen, Jason Fan, Gregory Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 |
| title | A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 |
| title_full | A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 |
| title_fullStr | A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 |
| title_full_unstemmed | A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 |
| title_short | A novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with COVID-19 |
| title_sort | novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with covid-19 |
| topic | POSTER PRESENTATIONS: Thursday 23 June: Public Health |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252343/ http://dx.doi.org/10.1016/S0168-8278(22)00782-6 |
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