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Introduction: Portal hypertension progression can be relieved after controlling the etiology of liver cirrhosis. Whether beta-blockers could additionally enhance the effects during treatment, particularly for small esophageal varices (EV), was unclear. This study aims to assess the efficacy of add-on carvedilol to delay EV progression during anti-hepatitis B virus (HBV) treatment in HBV-related cirrhosis., Methods: This randomized controlled trial enrolled patients with virologically suppressed HBV-compensated cirrhosis and small/medium EV. The participants were randomly assigned to receive nucleos(t)ide analog (NUC) or carvedilol 12.5 mg plus NUC (1:1 allocation ratio). The primary end point was the progression rate of EV at 2 years of follow-up., Results: A total of 238 patients (small EV, 77.3%) were randomized into 119 NUC and 119 carvedilol plus NUC (carvedilol [CARV] combination group). Among them, 205 patients (86.1%) completed paired endoscopies. EV progression rate was 15.5% (16/103) in the NUC group and 12.7% (13/102) in the CARV combination group (relative risk = 0.79, 95% confidence interval 0.36-1.75, P = 0.567). Subgroup analysis on medium EV showed the CARV combination group had a more favorable effect in promoting EV regression (43.5% vs 13.1%, P = 0.022) than NUC alone, but not in small cases ( P = 0.534). The incidence of liver-related events (decompensation, hepatocellular carcinoma, or death/liver transplantation) within 2 years was similar between the 2 groups (11.2% vs 10.4%, P = 0.881)., Discussion: The overall results did not show statistically significant differences between the added carvedilol strategy and NUC monotherapy in preventing EV progression in patients with virologically suppressed HBV-compensated cirrhosis. However, the carvedilol-added approach might offer improved outcomes specifically for patients with medium EV (NCT03736265)., (Copyright © 2023 by The American College of Gastroenterology.)

Background/aims: Existing hepatocellular carcinoma (HCC) prediction models are derived mainly from pretreatment or early on-treatment parameters. We reassessed the dynamic changes in the performance of 17 HCC models in patients with chronic hepatitis B (CHB) during long-term antiviral therapy (AVT)., Methods: Among 987 CHB patients administered long-term entecavir therapy, 660 patients had 8 years of follow-up data. Model scores were calculated using on-treatment values at 2.5, 3, 3.5, 4, 4.5, and 5 years of AVT to predict threeyear HCC occurrence. Model performance was assessed with the area under the receiver operating curve (AUROC). The original model cutoffs to distinguish different levels of HCC risk were evaluated by the log-rank test., Results: The AUROCs of the 17 HCC models varied from 0.51 to 0.78 when using on-treatment scores from years 2.5 to 5. Models with a cirrhosis variable showed numerically higher AUROCs (pooled at 0.65-0.73 for treated, untreated, or mixed treatment models) than models without (treated or mixed models: 0.61-0.68; untreated models: 0.51-0.59). Stratification into low, intermediate, and high-risk levels using the original cutoff values could no longer reflect the true HCC incidence using scores after 3.5 years of AVT for models without cirrhosis and after 4 years of AVT for models with cirrhosis., Conclusion: The performance of existing HCC prediction models, especially models without the cirrhosis variable, decreased in CHB patients on long-term AVT. The optimization of existing models or the development of novel models for better HCC prediction during long-term AVT is warranted.