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Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019

Simple tests of routine data are needed for those with severe acute respiratory syndrome coronavirus 2, which causes corona virus disease 2019 (COVID‐19), to help identify those who may need mechanical ventilation (MV). In this study, we aimed to determine if fibrosis‐4 (FIB‐4) is associated with th...

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Autores principales: Sterling, Richard K., Shin, Dongho, Shin, Yongyun, French, Evan, Stevens, Michael P., Bajaj, Jasmohan S., DeWit, Marjolein, Sanyal, Arun J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239534/
https://www.ncbi.nlm.nih.gov/pubmed/34510829
http://dx.doi.org/10.1002/hep4.1737
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author Sterling, Richard K.
Shin, Dongho
Shin, Yongyun
French, Evan
Stevens, Michael P.
Bajaj, Jasmohan S.
DeWit, Marjolein
Sanyal, Arun J.
author_facet Sterling, Richard K.
Shin, Dongho
Shin, Yongyun
French, Evan
Stevens, Michael P.
Bajaj, Jasmohan S.
DeWit, Marjolein
Sanyal, Arun J.
author_sort Sterling, Richard K.
collection PubMed
description Simple tests of routine data are needed for those with severe acute respiratory syndrome coronavirus 2, which causes corona virus disease 2019 (COVID‐19), to help identify those who may need mechanical ventilation (MV). In this study, we aimed to determine if fibrosis‐4 (FIB‐4) is associated with the need for MV in patients with COVID‐19 and if there is an association to determine the optimal FIB‐4 cutoff. This was a retrospective, national, multiethnic cohort study of adults seen in an ambulatory or emergency department setting who were diagnosed with COVID‐19. We used the TriNetX platform for analysis. Measures included demographics, comorbid diseases, and routine laboratory tests. A total of 4,901 patients with COVID‐19 were included. Patients had a mean age of 56, 48% were women, 42% were obese, 38% were white, 40% were black, 15% had cardiac disease, 39% had diabetes mellitus, 20% had liver disease, and 50% had respiratory disease. The need for MV was 6%. The optimal FIB‐4 cutoff for the need for MV was 3.04 (area under the curve, 0.735), which had sensitivity, specificity, and positive and negative predictive values of 42%, 77%, 11%, and 95%, respectively, with 93% accuracy. When stratified by race, increased FIB‐4 remained associated with the need for MV in both white and black patients. Conclusion: FIB‐4 can be used by frontline providers to identify patients that may require MV.
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spelling pubmed-82395342021-06-29 Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019 Sterling, Richard K. Shin, Dongho Shin, Yongyun French, Evan Stevens, Michael P. Bajaj, Jasmohan S. DeWit, Marjolein Sanyal, Arun J. Hepatol Commun Original Articles Simple tests of routine data are needed for those with severe acute respiratory syndrome coronavirus 2, which causes corona virus disease 2019 (COVID‐19), to help identify those who may need mechanical ventilation (MV). In this study, we aimed to determine if fibrosis‐4 (FIB‐4) is associated with the need for MV in patients with COVID‐19 and if there is an association to determine the optimal FIB‐4 cutoff. This was a retrospective, national, multiethnic cohort study of adults seen in an ambulatory or emergency department setting who were diagnosed with COVID‐19. We used the TriNetX platform for analysis. Measures included demographics, comorbid diseases, and routine laboratory tests. A total of 4,901 patients with COVID‐19 were included. Patients had a mean age of 56, 48% were women, 42% were obese, 38% were white, 40% were black, 15% had cardiac disease, 39% had diabetes mellitus, 20% had liver disease, and 50% had respiratory disease. The need for MV was 6%. The optimal FIB‐4 cutoff for the need for MV was 3.04 (area under the curve, 0.735), which had sensitivity, specificity, and positive and negative predictive values of 42%, 77%, 11%, and 95%, respectively, with 93% accuracy. When stratified by race, increased FIB‐4 remained associated with the need for MV in both white and black patients. Conclusion: FIB‐4 can be used by frontline providers to identify patients that may require MV. John Wiley and Sons Inc. 2021-07-16 /pmc/articles/PMC8239534/ /pubmed/34510829 http://dx.doi.org/10.1002/hep4.1737 Text en © 2021 The Authors. Hepatology Communications published by Wiley Periodicals LLC on behalf of American Association for the Study of Liver Diseases https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Sterling, Richard K.
Shin, Dongho
Shin, Yongyun
French, Evan
Stevens, Michael P.
Bajaj, Jasmohan S.
DeWit, Marjolein
Sanyal, Arun J.
Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019
title Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019
title_full Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019
title_fullStr Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019
title_full_unstemmed Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019
title_short Fibrosis‐4 Predicts the Need for Mechanical Ventilation in a National Multiethnic Cohort of Corona Virus Disease 2019
title_sort fibrosis‐4 predicts the need for mechanical ventilation in a national multiethnic cohort of corona virus disease 2019
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239534/
https://www.ncbi.nlm.nih.gov/pubmed/34510829
http://dx.doi.org/10.1002/hep4.1737
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