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EP1193: 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: |
AGA Institute. Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212394/ http://dx.doi.org/10.1016/S0016-5085(22)63755-7 |
| _version_ | 1784730578245910528 |
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| author | Lee, David U. Cohen, Jason Fan, Gregory H. Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza |
| author_facet | Lee, David U. Cohen, Jason Fan, Gregory H. Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza |
| author_sort | Lee, David U. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9212394 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | AGA Institute. Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-92123942022-06-22 EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 Lee, David U. Cohen, Jason Fan, Gregory H. Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza Gastroenterology AASLD Abstracts AGA Institute. Published by Elsevier Inc. 2022-05 2022-06-16 /pmc/articles/PMC9212394/ http://dx.doi.org/10.1016/S0016-5085(22)63755-7 Text en Copyright © 2022 AGA Institute. Published by Elsevier Inc. 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 | AASLD Abstracts Lee, David U. Cohen, Jason Fan, Gregory H. Hastie, David Mittal, Akaash Le, Khanh Jang, Yeeun Daid, Sarav Karagozian, Raffi Malik, Raza EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 |
| title | EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 |
| title_full | EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 |
| title_fullStr | EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 |
| title_full_unstemmed | EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 |
| title_short | EP1193: A NOVEL PROGNOSTIC MODEL INCLUDING LIVER FUNCTION PARAMETERS ACCURATELY PREDICTS 30-DAY MORTALITY IN PATIENTS ADMITTED WITH COVID-19 |
| title_sort | ep1193: a novel prognostic model including liver function parameters accurately predicts 30-day mortality in patients admitted with covid-19 |
| topic | AASLD Abstracts |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212394/ http://dx.doi.org/10.1016/S0016-5085(22)63755-7 |
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