The liver in COVID-19: prevalence, patterns, predictors, and impact on outcomes of liver test abnormalities

Harsh Goel1,2, Farah Harmouch1, Kawish Garg3

  • 1Department of Medicine, St. Luke's University Hospital, Bethlehem.

Insights

Liver injury is common in COVID-19 patients, with elevated bilirubin and AST:ALT ratio predicting mortality. These findings aid in understanding COVID-19

Area of Science:

  • Hepatology
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Coronavirus disease 2019 (COVID-19) has led to a global pandemic with significant mortality.
  • Beyond respiratory illness, COVID-19 is associated with multi-organ injury, including the liver.
  • Liver injury in COVID-19 patients is a critical area of clinical interest.

Purpose of the Study:

  • To determine the prevalence, characteristics, and predictors of liver injury in hospitalized COVID-19 patients.
  • To assess the impact of liver injury on mortality and need for mechanical ventilation.
  • To identify specific liver tests (LTs) as potential markers for COVID-19 severity.

Main Methods:

  • Retrospective analysis of demographic, clinical, and biochemical data from 551 hospitalized COVID-19 patients.
  • Evaluation of liver test abnormalities (transaminases, bilirubin, alkaline phosphatase) on admission and at peak.
  • Statistical analysis to determine associations between LT elevations, mortality, and mechanical ventilation, adjusted for covariates.

Main Results:

  • Elevated transaminases (AST/ALT) were common, seen in 61.2% on admission and 72.1% at peak.
  • Bilirubin and alkaline phosphatase elevations were less frequent but still significant.
  • Hyperbilirubinemia and AST:ALT ratio were significant predictors of mortality, alongside age and myocardial injury.

Conclusions:

  • Liver test elevations are frequent in COVID-19, often mild.
  • Admission and peak bilirubin levels and AST:ALT ratio are key indicators of mortality risk.
  • These liver function markers, along with clinical factors, are crucial for predicting outcomes in COVID-19 patients.
Abstract

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