Defining the severity of liver dysfunction in patients with hepatocellular carcinoma by the model for end-stage liver disease-derived systems

Dig Liver Dis. 2012 Oct;44(10):868-74. doi: 10.1016/j.dld.2012.04.018. Epub 2012 May 28.

Abstract

Background: The model for end-stage liver disease (MELD) and serum sodium (Na) are important markers for liver functional reserve in patients with hepatocellular carcinoma. We aimed to determine the best model to define the severity of liver dysfunction in terms of outcome prediction among the 4 currently used systems (MELD, MELDNa, MELD-Na and ReFit MELDNa).

Methods: A total of 2308 prospectively enrolled patients with hepatocellular carcinoma were analysed. The prognostic ability was compared by the Akaike information criterion.

Results: MELDNa had the best prognostic accuracy overall, and for patients receiving curative and non-curative treatments, followed by MELD-Na, MELD and ReFit MELDNa. When patients were categorized into <8, 8-12, 12-16, 16-20 and >20, the adjusted risk ratios for MELDNa were 1.065 (p=0.46), 0.996 (p=0.973), 1.38 (p=0.048) and 1.563 (p=0.003) for the scores of 8-12, 12-16, 16-20 and >20, respectively, compared to the group with scores <8. The adjusted risk ratio for MELDNa was 1.014 (95% confidence interval, 1.001-1.027; p=0.034) per unit score increment in the Cox model.

Conclusions: The MELDNa is the best marker to define the severity of liver dysfunction in hepatocellular carcinoma patients independent of treatment strategy. The ReFit MELDNa does not enhance the predictive accuracy of the MELD.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carcinoma, Hepatocellular / mortality
  • Carcinoma, Hepatocellular / physiopathology*
  • End Stage Liver Disease / classification*
  • End Stage Liver Disease / physiopathology
  • Female
  • Humans
  • Liver / physiopathology*
  • Liver Neoplasms / mortality
  • Liver Neoplasms / physiopathology*
  • Male
  • Models, Biological
  • Prognosis
  • Severity of Illness Index
  • Survival Rate