Liver Injury and Elevated FIB-4 Define a High-Risk Group in Patients with COVID-19.
Dana CrisanLucretia AvramCristiana GrapaAlexandra DraganDan RadulescuSorin CrisanAlin GrosuValentin MilitaruElena BuzduganLaurentiu StoicescuLiliana RadulescuFelix CiovicescuDelia Bunea JivanescuOana MocanBogdan MicuValer DoncaLuminita MarinescuAntonia MacarieMarina RosuAndrada NemesRares CraciunPublished in: Journal of clinical medicine (2021)
Liver involvement in Coronavirus Disease 2019 (COVID-19) has been widely documented. However, data regarding liver-related prognosis are scarce and heterogeneous. The current study aims to evaluate the role of abnormal liver tests and incidental elevations of non-invasive fibrosis estimators on the prognosis of hospitalized COVID-19 patients. We conducted a retrospective cohort study to investigate the impact of elevated liver tests, non-invasive fibrosis estimators (the Fibrosis-4 (FIB-4), Forns, APRI scores, and aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio), and the presence of computed tomography (CT)-documented liver steatosis on mortality in patients with moderate and severe COVID-19, with no prior liver disease history. A total of 370 consecutive patients were included, of which 289 patients (72.9%) had abnormal liver biochemistry on admission. Non-survivors had significantly higher FIB-4, Forns, APRI scores, and a higher AST/ALT ratio. On multivariate analysis, severe FIB-4 (exceeding 3.25) and elevated AST were independently associated with mortality. Severe FIB-4 had an area under the receiver operating characteristic (AUROC) of 0.73 for predicting survival. The presence of steatosis was not associated with a worse outcome. Patients with abnormal liver biochemistry on arrival might be susceptible to a worse disease outcome. An FIB-4 score above the threshold of 3.25, suggestive of the presence of fibrosis, is associated with higher mortality in hospitalized COVID-19 patients.
Keyphrases
- coronavirus disease
- liver fibrosis
- computed tomography
- sars cov
- liver injury
- end stage renal disease
- drug induced
- newly diagnosed
- chronic kidney disease
- emergency department
- cardiovascular events
- prognostic factors
- magnetic resonance imaging
- early onset
- positron emission tomography
- metabolic syndrome
- young adults
- cardiovascular disease
- machine learning
- image quality
- deep learning