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Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study

Objective: Abnormal liver tests have been associated with worse clinical outcomes in patients infected with COVID-19. This retrospective observational study from Singapore aims to elucidate simple clinical predictors of abnormal alanine aminotransferase (ALT) in COVID-19 infections. Design: 717 pati...

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Autores principales: Chew, Wei Da, Kuang, Jonathan, Lin, Huiyu, Ang, Li Wei, Yang, Wei Lyn, Lye, David C., Young, Barnaby E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057561/
https://www.ncbi.nlm.nih.gov/pubmed/36986395
http://dx.doi.org/10.3390/pathogens12030473
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author Chew, Wei Da
Kuang, Jonathan
Lin, Huiyu
Ang, Li Wei
Yang, Wei Lyn
Lye, David C.
Young, Barnaby E.
author_facet Chew, Wei Da
Kuang, Jonathan
Lin, Huiyu
Ang, Li Wei
Yang, Wei Lyn
Lye, David C.
Young, Barnaby E.
author_sort Chew, Wei Da
collection PubMed
description Objective: Abnormal liver tests have been associated with worse clinical outcomes in patients infected with COVID-19. This retrospective observational study from Singapore aims to elucidate simple clinical predictors of abnormal alanine aminotransferase (ALT) in COVID-19 infections. Design: 717 patients hospitalised with COVID-19 at the National Centre for Infectious Diseases (NCID), Singapore, from 23 January–15 April 2020 were screened, of which 163 patients with baseline normal alanine transferase (ALT) and at least two subsequent ALTs performed were included in the final analysis. Information on baseline demographics, clinical characteristics and biochemical laboratory tests were collected. Results: 30.7% of patients developed abnormal ALT. They were more likely to be older (60 vs. 55, p = 0.022) and have comorbidities of hyperlipidaemia and hypertension. The multivariate logistic regression showed that R-factor ≥1 on admission (adjusted odds ratio (aOR) 3.13, 95% Confidence Interval (CI) 1.41–6.95) and hypoxia (aOR 3.54, 95% CI 1.29–9.69) were independent risk factors for developing abnormal ALT. The patients who developed abnormal ALT also ran a more severe course of illness with a greater proportion needing supplementary oxygen (58% vs. 18.6%, p < 0.0005), admission to the Intensive Care Unit (ICU)/High Dependency Unit (HDU) (32% vs. 11.5%, p = 0.003) and intubation (20% vs. 2.7%, p < 0.0005). There was no difference in death rate between the two groups. Conclusions: Liver injury is associated with poor clinical outcomes in patients with COVID-19. R-factor ≥1 on admission and hypoxia are independent simple clinical predictors for developing abnormal ALT in COVID-19.
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spelling pubmed-100575612023-03-30 Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study Chew, Wei Da Kuang, Jonathan Lin, Huiyu Ang, Li Wei Yang, Wei Lyn Lye, David C. Young, Barnaby E. Pathogens Article Objective: Abnormal liver tests have been associated with worse clinical outcomes in patients infected with COVID-19. This retrospective observational study from Singapore aims to elucidate simple clinical predictors of abnormal alanine aminotransferase (ALT) in COVID-19 infections. Design: 717 patients hospitalised with COVID-19 at the National Centre for Infectious Diseases (NCID), Singapore, from 23 January–15 April 2020 were screened, of which 163 patients with baseline normal alanine transferase (ALT) and at least two subsequent ALTs performed were included in the final analysis. Information on baseline demographics, clinical characteristics and biochemical laboratory tests were collected. Results: 30.7% of patients developed abnormal ALT. They were more likely to be older (60 vs. 55, p = 0.022) and have comorbidities of hyperlipidaemia and hypertension. The multivariate logistic regression showed that R-factor ≥1 on admission (adjusted odds ratio (aOR) 3.13, 95% Confidence Interval (CI) 1.41–6.95) and hypoxia (aOR 3.54, 95% CI 1.29–9.69) were independent risk factors for developing abnormal ALT. The patients who developed abnormal ALT also ran a more severe course of illness with a greater proportion needing supplementary oxygen (58% vs. 18.6%, p < 0.0005), admission to the Intensive Care Unit (ICU)/High Dependency Unit (HDU) (32% vs. 11.5%, p = 0.003) and intubation (20% vs. 2.7%, p < 0.0005). There was no difference in death rate between the two groups. Conclusions: Liver injury is associated with poor clinical outcomes in patients with COVID-19. R-factor ≥1 on admission and hypoxia are independent simple clinical predictors for developing abnormal ALT in COVID-19. MDPI 2023-03-16 /pmc/articles/PMC10057561/ /pubmed/36986395 http://dx.doi.org/10.3390/pathogens12030473 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chew, Wei Da
Kuang, Jonathan
Lin, Huiyu
Ang, Li Wei
Yang, Wei Lyn
Lye, David C.
Young, Barnaby E.
Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study
title Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study
title_full Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study
title_fullStr Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study
title_full_unstemmed Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study
title_short Clinical Predictors for Abnormal ALT in Patients Infected with COVID-19—A Retrospective Single Centre Study
title_sort clinical predictors for abnormal alt in patients infected with covid-19—a retrospective single centre study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057561/
https://www.ncbi.nlm.nih.gov/pubmed/36986395
http://dx.doi.org/10.3390/pathogens12030473
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