GALAD outperforms aMAP and ALBI for predicting HCC in patients with compensated advanced chronic liver disease: A

Erica Villa1, Rossella Donghia2, Valentina Baldaccini1

  • 1Gastroenterology Unit, CHIMOMO Department, University of Modena & Reggio Emilia, Italy.

Hepatology Communications
|September 14, 2023
PubMed

Insights

The GALAD score accurately predicts hepatocellular carcinoma (HCC) risk in liver cirrhosis patients. This study found GALAD superior to other scoring systems for early HCC detection, improving surveillance strategies.

Area of Science:

  • Hepatology
  • Oncology
  • Biomarker Discovery

Background:

  • Surveillance for hepatocellular carcinoma (HCC) is crucial in liver cirrhosis patients.
  • Current methods like ultrasound and alpha-fetoprotein (AFP) have limitations in diagnostic accuracy.
  • Novel scoring systems are needed to improve early HCC detection.

Purpose of the Study:

  • To compare the predictive performance of the GALAD score against other established scoring systems for HCC onset.
  • To evaluate the GALAD score's accuracy in a 12-year prospective study of patients with advanced chronic liver disease.
  • To assess the utility of GALAD in diverse patient sub-cohorts, including viral hepatitis, NASH, and alcohol-related liver disease.

Main Methods:

  • A prospective study followed 545 patients with compensated advanced chronic liver disease for 12 years, monitoring for HCC occurrence via regular imaging and AFP levels.
  • Statistical analysis employed Harrell's C-index for censored data and Receiver Operating Characteristic (ROC) curve analysis to compare predictive performances.
  • A HCC Risk model was developed using univariate and multivariate Cox proportional hazard regression.

Main Results:

  • The GALAD score demonstrated superior accuracy in predicting HCC development compared to the albumin-bilirubin (ALBI) score and the age, gender, bilirubin, albumin, and platelets (APBG) score.
  • Area Under the Curve (AUC) values for GALAD ranged from 0.7268 to 0.6851 at 5 and 10 years across the total cohort and sub-cohorts.
  • GALAD showed a strong association with HCC risk (Hazard Ratio > 1, p < 0.05) and offered better risk prediction, particularly in the alcohol cohort.

Conclusions:

  • The GALAD score is the most reliable and accurate system for detecting HCC risk in patients with compensated advanced chronic liver disease.
  • This finding supports the integration of the GALAD score into routine surveillance protocols for liver cirrhosis.
  • Enhanced HCC risk prediction can lead to more timely interventions and improved patient outcomes.
Abstract

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