The Hepatitis Aggressiveness Score (HAS): a novel classification system for post-liver transplantation recurrent

Roger K Moreira1, Marcela Salomao, Elizabeth C Verna

  • 1Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons, Rochester, MN 55905, USA. moreira.roger@mayo.edu

Insights

A new Hepatitis Aggressiveness Score (HAS) using fibrosing cholestatic hepatitis (FCH) features accurately predicts outcomes in liver transplant recipients with recurrent hepatitis C virus (HCV). This HAS system identifies severe FCH-C cases and stratifies patients by prognosis.

Area of Science:

  • Hepatology
  • Transplantation Immunology
  • Gastroenterology

Background:

  • Recurrent hepatitis C virus (HCV) infection post-liver transplantation (LT) is a significant clinical challenge.
  • Fibrosing cholestatic hepatitis C (FCH-C) represents a severe form of recurrent HCV.
  • Existing grading systems may not fully capture the aggressiveness of recurrent HCV post-LT.

Purpose of the Study:

  • To develop and validate a novel histologic grading system for recurrent HCV post-LT based on FCH features.
  • To assess the predictive performance of this new system compared to conventional grading methods.
  • To stratify patients with recurrent HCV into distinct prognostic categories.

Main Methods:

  • Liver biopsies from 170 patients with recurrent HCV post-LT were analyzed.
  • Histologic assessment included four FCH features: ductular reaction, cholestasis, hepatocyte ballooning, and periportal sinusoidal fibrosis.
  • A Hepatitis Aggressiveness Score (HAS) was derived based on the number of FCH features present.

Main Results:

  • The HAS classification significantly predicted fibrosis progression (P<0.001).
  • HAS was the strongest predictor of graft loss in multivariable analysis (adjusted hazard ratio=5.5 for HAS 3 vs. HAS 1/2).
  • Patients with at least 3 FCH features (HAS 3) showed a distinctly worse prognosis and severe cholestatic disease.

Conclusions:

  • A novel grading system based on FCH features (HAS) accurately grades recurrent HCV post-LT.
  • The HAS system effectively identifies FCH-C cases and stratifies patients into prognostic groups.
  • This approach offers improved prediction of outcomes in liver transplant recipients with recurrent HCV.

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