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Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran
Risk factors for clinical outcomes of COVID-19 pneumonia have not yet been well established in patients with underlying liver diseases. Our study aimed to describe the clinical characteristics and outcomes of COVID-19 infection among patients with underlying liver diseases and determine the risk fac...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862282/ https://www.ncbi.nlm.nih.gov/pubmed/33542426 http://dx.doi.org/10.1038/s41598-021-82721-3 |
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author | Bahardoust, Mansour Heiat, Mohammad Khodabandeh, Mehrdad Karbasi, Ashraf Bagheri-Hosseinabadi, Zahra Ataee, Mohammad Hossein Seidalian, Narjes Babazadeh, Amirhossein Agah, Shahram Abyazi, Mohammad Ali |
author_facet | Bahardoust, Mansour Heiat, Mohammad Khodabandeh, Mehrdad Karbasi, Ashraf Bagheri-Hosseinabadi, Zahra Ataee, Mohammad Hossein Seidalian, Narjes Babazadeh, Amirhossein Agah, Shahram Abyazi, Mohammad Ali |
author_sort | Bahardoust, Mansour |
collection | PubMed |
description | Risk factors for clinical outcomes of COVID-19 pneumonia have not yet been well established in patients with underlying liver diseases. Our study aimed to describe the clinical characteristics and outcomes of COVID-19 infection among patients with underlying liver diseases and determine the risk factors for severe COVID-19 among them. In a retrospective analytical study, 1002 patients with confirmed COVID-19 pneumonia were divided into two groups: patients with and without underlying liver diseases. The admission period was from 5 March to 14 May 2020. The prevalence of underlying conditions, Demographic data, clinical parameters, laboratory data, and participants' outcomes were evaluated. Logistic regression was used to estimate the predictive factors. Eighty-one (8%) of patients had underlying liver diseases. The frequencies of gastrointestinal symptoms such as diarrhea and vomiting were significantly higher among patients with liver diseases (48% vs. 25% and 46.1% vs. 30% respectively, both P < 0.05). Moreover, ALT and AST were significantly higher among patients with liver diseases (54.5 ± 45.6 vs. 37.1 ± 28.4, P = 0.013 and 41.4 ± 27.2 vs. 29.2 ± 24.3, P = 0.028, respectively). Additionally, the mortality rate was significantly high in patients with liver disease (12.4% vs. 7%, P = 0.018). We also observed that the parameters such as neutrophil to leukocyte ratio [Odds Ratio Adjusted (OR(Adj)) 1.81, 95% CI 1.21–3.11, P = 0.011] and blood group A (OR(Adj) 1.59, 95% CI 1.15–2.11, P = 0.001) were associated with progression of symptoms of COVID-19. The presence of underlying liver diseases should be considered one of the poor prognostic factors for worse outcomes in patients with COVID-19. |
format | Online Article Text |
id | pubmed-7862282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78622822021-02-05 Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran Bahardoust, Mansour Heiat, Mohammad Khodabandeh, Mehrdad Karbasi, Ashraf Bagheri-Hosseinabadi, Zahra Ataee, Mohammad Hossein Seidalian, Narjes Babazadeh, Amirhossein Agah, Shahram Abyazi, Mohammad Ali Sci Rep Article Risk factors for clinical outcomes of COVID-19 pneumonia have not yet been well established in patients with underlying liver diseases. Our study aimed to describe the clinical characteristics and outcomes of COVID-19 infection among patients with underlying liver diseases and determine the risk factors for severe COVID-19 among them. In a retrospective analytical study, 1002 patients with confirmed COVID-19 pneumonia were divided into two groups: patients with and without underlying liver diseases. The admission period was from 5 March to 14 May 2020. The prevalence of underlying conditions, Demographic data, clinical parameters, laboratory data, and participants' outcomes were evaluated. Logistic regression was used to estimate the predictive factors. Eighty-one (8%) of patients had underlying liver diseases. The frequencies of gastrointestinal symptoms such as diarrhea and vomiting were significantly higher among patients with liver diseases (48% vs. 25% and 46.1% vs. 30% respectively, both P < 0.05). Moreover, ALT and AST were significantly higher among patients with liver diseases (54.5 ± 45.6 vs. 37.1 ± 28.4, P = 0.013 and 41.4 ± 27.2 vs. 29.2 ± 24.3, P = 0.028, respectively). Additionally, the mortality rate was significantly high in patients with liver disease (12.4% vs. 7%, P = 0.018). We also observed that the parameters such as neutrophil to leukocyte ratio [Odds Ratio Adjusted (OR(Adj)) 1.81, 95% CI 1.21–3.11, P = 0.011] and blood group A (OR(Adj) 1.59, 95% CI 1.15–2.11, P = 0.001) were associated with progression of symptoms of COVID-19. The presence of underlying liver diseases should be considered one of the poor prognostic factors for worse outcomes in patients with COVID-19. Nature Publishing Group UK 2021-02-04 /pmc/articles/PMC7862282/ /pubmed/33542426 http://dx.doi.org/10.1038/s41598-021-82721-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bahardoust, Mansour Heiat, Mohammad Khodabandeh, Mehrdad Karbasi, Ashraf Bagheri-Hosseinabadi, Zahra Ataee, Mohammad Hossein Seidalian, Narjes Babazadeh, Amirhossein Agah, Shahram Abyazi, Mohammad Ali Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran |
title | Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran |
title_full | Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran |
title_fullStr | Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran |
title_full_unstemmed | Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran |
title_short | Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran |
title_sort | predictors for the severe coronavirus disease 2019 (covid-19) infection in patients with underlying liver disease: a retrospective analytical study in iran |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862282/ https://www.ncbi.nlm.nih.gov/pubmed/33542426 http://dx.doi.org/10.1038/s41598-021-82721-3 |
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