4.5 Article

Validation of Hepatocellular Carcinoma Risk Prediction Models in Patients with Hepatitis B-Related Cirrhosis

Journal

JOURNAL OF HEPATOCELLULAR CARCINOMA
Volume 9, Issue -, Pages 987-997

Publisher

DOVE MEDICAL PRESS LTD
DOI: 10.2147/JHC.S377435

Keywords

HBV; antiviral therapy; liver cancer; risk prediction; cirrhosis

Categories

Funding

  1. National Science and Technology Major Project for Infectious Diseases [2017ZX10302201-004-009, 2017ZX10203202-003]
  2. National Science and Technology Major Special Project for New Drug Development [2018ZX09201016]
  3. Beijing Municipal Science and Technology Commission of Major Projects [D161100002716002, D161100002716003, D171100003117005]

Ask authors/readers for more resources

This study aimed to investigate the effectiveness of risk assessment models for hepatocellular carcinoma (HCC) in patients with hepatitis B virus (HBV)-related cirrhosis undergoing antiviral therapy. The results showed that the REAL-B score had a high prognostic capability in predicting HCC risk, and there were significant differences in HCC risk assessment between the intermediate-risk group and the high-risk group at 1, 3, and 5 years.
Purpose: Several risk models have been developed to predict the hepatocellular carcinoma (HCC) risk in patients with chronic hepatitis B (CHB); however, it remains unclear whether these models are useful for risk assessment in patients with hepatitis B virus (HBV)-related cirrhosis undergoing antiviral therapy.Patients and Methods: A total of 252 treatment-naive cirrhosis patients with no history of HCC who underwent treatment with nucleos(t)ide analogues between January 2010 and July 2014 were enrolled. Cox proportional hazards model was used to analyze the risk factors for HCC. TimeROC and survival ROC package, written for R, were used to compare the time-dependent area under the receiver operating characteristic (AUROC) curves for the predictability of the HCC risk scores.Results: During the mean follow-up period of 56.96 months, 48 (19.0%) patients developed HCC. Cox multivariate stepwise regression analysis revealed that international normalized ratio (hazard ratio [HR] 2.771, 95% confidence interval [CI] 1.462-5.254; P=0.002), alpha-fetoprotein (HR 1.001, 95% CI 1.000-1.003; P=0.035), diabetes mellitus (HR 3.061, 95% CI 1.542-6.077; P=0.001), and alcohol intake (HR 2.250, 95% CI 1.042-4.856; P=0.039) were independent indicators of the HCC risk. AUROC at 3 (0.739) and 5 years (0.695) for the REAL-B score were consistently higher than those of the other risk models except RWS-HCC. The time-dependent AUROC value at 1 year for the REAL-B score was similar to those of the other risk models. According to REAL-B score stratification (0-3, low; 4-7, moderate; and 8-13, high), the HCC risk rates at 1, 3, and 5 years were 2.4%, 5.6%, and 9.0% in the intermediate-risk group, and 7.2%, 21.1%, and 26.3% in the high-risk group, respectively (all P<0.001 between each pair).Conclusion: REAL-B score showed a persistently high prognostic capability in predicting the HCC risk in HBV-related cirrhosis patients undergoing antiviral therapy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available