Hypoxic Liver Injury in Critically Ill Patients

Summary

Hypoxic liver injury, often referred to as hypoxic hepatitis, is an acute condition characterised by centrilobular hepatic necrosis resulting from inadequate oxygen delivery to hepatocytes. It commonly arises in the setting of profound circulatory or respiratory compromise, such as cardiogenic shock, septic shock or acute respiratory failure. The sudden and marked rise in serum aminotransferases (AST and ALT) serves as the hallmark biochemical feature, reflecting extensive hepatocellular damage. Though incidence estimates vary, large intensive care cohorts report rates of 3–5% among critically ill admissions. Mortality remains high, frequently exceeding 40% at 28 days, and is determined by both the severity of the precipitating insult and the peak enzyme elevations. Early recognition relies on dynamic monitoring of liver function tests alongside vigilant haemodynamic assessment. Management is largely supportive, focusing on restoration of adequate tissue perfusion, optimisation of oxygen delivery and mitigation of underlying shock states. Given its association with multisystem organ dysfunction, hypoxic liver injury carries global relevance and underscores the importance of integrated critical care strategies to preserve hepatic viability and improve patient outcomes.

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Hypoxic Liver Injury in Critically Ill Patients publication trend

The graph below shows the total number of articles in hypoxic liver injury in critically ill patients across all publications each year (not limited to Nature Index journals).

Technical terms

Hypoxic Hepatitis: acute centrilobular necrosis caused by inadequate oxygen delivery to hepatocytes during systemic circulatory or respiratory failure.

Aminotransferases (AST, ALT): liver enzymes released into the bloodstream by injured hepatocytes, serving as biochemical markers of hepatic injury.

Septic Shock: a severe form of sepsis with profound circulatory and metabolic abnormalities, leading to tissue hypoperfusion including hepatic ischaemia.

Machine Learning Model: a computational algorithm that identifies complex patterns in clinical data to predict patient outcomes and support clinical decision-making.

References

  1. Epidemiology, causes, evolution and outcome in a single-center cohort of 1116 critically ill patients with hypoxic hepatitis. Annals of Intensive Care (2018).
  2. Association of the etiology and peak level of markedly elevated aminotransferases with mortality: a multicenter study. Hepatology Communications (2023).
  3. Prediction of 30-day mortality in heart failure patients with hypoxic hepatitis: Development and external validation of an interpretable machine learning model. Frontiers in Cardiovascular Medicine (2022).
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