ABC: a novel algorithm to stratify decompensation risk in patients with compensated advanced chronic liver disease

Chuan Liu1, Jia Li2, Yu Jun Wong3,4

  • 1Department of Radiology, Center of Portal Hypertension, Zhongda Hospital, Medical School, Southeast University, Nanjing, 210009, China.

Insights

The novel ABC model effectively stratifies decompensation risk in compensated advanced chronic liver disease (cACLD) patients. This tool can help determine the need for hepatic venous pressure gradient (HVPG) evaluation, potentially reducing unnecessary procedures.

Area of Science:

  • Hepatology
  • Clinical Risk Stratification
  • Liver Disease Management

Background:

  • Compensated advanced chronic liver disease (cACLD) requires accurate risk stratification to prevent liver-related mortality.
  • Clinical decompensation is a critical precursor to liver-related death, highlighting the need for precise risk assessment in cACLD.

Purpose of the Study:

  • To develop and validate a novel risk stratification model for decompensation in cACLD.
  • To assess the utility of the new model in guiding decisions regarding hepatic venous pressure gradient (HVPG) evaluation and management.

Main Methods:

  • A multicenter international study involving three cohorts (training, validation, HVPG) from 2009 to 2021.
  • Development of the CHESS criteria and the Algorithm based on Baveno VI criteria plus CHESS criteria (ABC model) in the training cohort.
  • Validation of the ABC model in an independent cohort and its application in diagnosing clinically significant portal hypertension (CSPH) in the HVPG cohort.

Main Results:

  • The ABC model incorporates liver stiffness measurement (LSM), platelet count (PLT), albumin, alanine aminotransferase (ALT), and varices to predict decompensation risk.
  • The model demonstrated strong predictive performance with a 3-year time-dependent area under the curve (tAUC) of 0.851 in the training cohort and 0.843 in the validation cohort.
  • In the HVPG cohort, the high-risk group identified by the ABC model showed a 93.0% positive predictive value for CSPH, enabling targeted HVPG evaluation.

Conclusions:

  • The ABC model provides effective risk stratification for decompensation in cACLD patients.
  • HVPG evaluation can be potentially waived for low-risk and high-risk cACLD patients, who can be managed based on Baveno VI criteria or non-selective β-blockers, respectively.
  • Medium-risk cACLD patients identified by the ABC model warrant further HVPG evaluation for precise management decisions.
Abstract