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Comparison of liver fibrosis scores and fatty liver on computed tomography as risk factors for severity of COVID‐19

Authors :
Yuji Kamiya
Masahiro Shinoda
Naoki Ishii
Saki Yamamoto
Tetsuo Sekine
Miwa Morikawa
Shinichiro Ota
Mio Toyama‐Kousaka
Hidenori Takahashi
Hiroaki Takei
Masaharu Shinkai
Source :
JGH Open, Vol 8, Iss 8, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Background and Aim Increased liver fibrosis scores (LFS), such as fibrosis‐4 index (FIB‐4) or non‐alcoholic fatty liver disease fibrosis score (NFS), and fatty liver are known risk factors for severe coronavirus disease 2019 (COVID‐19). The purpose of this study was to identify the best scores, which predict the prognosis of COVID‐19. Methods Participants comprised consecutive Japanese COVID‐19 patients admitted to our hospital between February 14, 2020, and April 14, 2021. Multivariate logistic regression analysis was performed to evaluate the relationships between LFS (FIB‐4, NFS, aspartate aminotransferase‐to‐platelet ratio index [APRI], BARD score, and hepatic steatosis index [HSI]) or fatty liver on computed tomography (CT), and severity of COVID‐19. Results Of the 415 patients (mean age, 59 years), 177 patients (42.7%) needed oxygen therapy, 90 patients (21.7%) worsened to severe COVID‐19, and 45 patients (10.8%) died during admission. Multivariate logistic regression analysis showed that increased FIB‐4 and NFS were risk factors for death, severe COVID‐19, and oxygen demand; that increased BARD was a risk factor for severe COVID‐19 and oxygen demand; and that increased APRI and HSI were not risk factors for any status of COVID‐19. Furthermore, increased NFS or BARD and fatty liver were independent risk factors for severe COVID‐19 and oxygen demand. Conclusions This study showed that FIB‐4 and NFS were the best liver fibrosis scores that predicted worse prognosis for COVID‐19, and that increased NFS or BARD and fatty liver evident on CT represented independent risk factors for severe COVID‐19 and oxygen demand.

Details

Language :
English
ISSN :
23979070
Volume :
8
Issue :
8
Database :
Directory of Open Access Journals
Journal :
JGH Open
Publication Type :
Academic Journal
Accession number :
edsdoj.41e38d15a13a481589f6b00042b0ea2c
Document Type :
article
Full Text :
https://doi.org/10.1002/jgh3.70004