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Elevated Transaminases as Predictors of COVID-19 Pneumonia Severity

Authors :
Tijana Radonjić
Ognjen Milićević
Igor Jovanović
Marija Zdravković
Marija Dukić
Olga Milorad Mandić
Jelica Bjekić-Macut
Olivera Borko Marković
Zoran Todorović
Milica Brajković
Novica Nikolić
Slobodan Klašnja
Višeslav Popadić
Anica Divac
Milica Marinković
Nabil Alhayek
Marija Svetislav Branković
Source :
Medicina, Vol 58, Iss 7, p 842 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Background: This study aimed to calculate the frequency of elevated liver enzymes in hospitalized patients with coronavirus disease 2019 (COVID-19) infection and to test if liver enzyme biochemistry levels on admission could predict the computed tomography (CT) scan severity score of bilateral interstitial pneumonia. Methods: This single-center study comprised of 323 patients including their demographic data, laboratory analyses, and radiological findings. All the information was taken from electronic health records, followed by statistical analysis. Results: Out of 323 patients, 115 of them (35.60%) had aspartate aminotransferase (AST) and/or alanine aminotransferase (ALT) over 40 U/L on admission. AST was the best predictor of CT scan severity score of bilateral interstitial pneumonia (R2 = 0.313, Adjusted R2 = 0.299). CT scan severity score in the peak of the infection could be predicted with the value of AST, neutrophils, platelets, and monocytes count (R2 = 0.535, Adjusted R2 = 0.495). Conclusion: AST, neutrophils, platelets, and monocytes count on admission can account for almost half (49.5%) of the variability in CT scan severity score at peak of the disease, predicting the extensiveness of interstitial pneumonia related to COVID-19 infection. Liver enzymes should be closely monitored in order to stratify COVID-19 patients with a higher risk of developing severe forms of the disease and to plan the beforehand step-up treatment.

Details

Language :
English
ISSN :
58070842, 16489144, and 1010660X
Volume :
58
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Medicina
Publication Type :
Academic Journal
Accession number :
edsdoj.381fcb57b004cbf9334f1ba5c3df8b6
Document Type :
article
Full Text :
https://doi.org/10.3390/medicina58070842