High-normal and abnormal alanine transaminase levels linked to increased risk of hepatoma following treatment for chronic hepatitis C.

Background/purpose: The risk of hepatocellular carcinoma (HCC) is increased in patients with chronic hepatitis C (CHC) and elevated alanine transaminase (ALT) levels. The association between HCC and ALT levels after interferon (IFN) or direct-acting antivirals (DAA) therapy is unclear.

Methods: Patients with CHC receiving antiviral therapy were included in two large-scale cohorts in Taiwan (T-COACH and TACR).

Direct-acting antiviral therapy for patients with HCV-related hepatocellular carcinoma: A nationwide cohort study.

Background & Aims: The survival benefit of direct-acting antiviral (DAA) therapy for hepatitis C virus (HCV) infection in patients with hepatocellular carcinoma (HCC), particularly in BCLC stages B/C, remains largely uncertain. We aimed to explore the impact of DAA therapy on overall survival (OS) in HCC patients using a nationwide cohort study.

Methods: We utilized the nationwide Taiwan Association for the Study of the Liver (TASL) HCV Registry (TACR) database to include all adults receiving a DAA therapy for HCV, excluding those with other viral infections, liver transplantation, non-HCC malignancies, and terminal-staged HCC.

An algorithm for simplified hepatitis C virus treatment with non-specialist care based on nation-wide data from Taiwan.

Background: Both European Association for the Study of the Liver (EASL) and American Association for the Study of Liver Diseases and the Infectious Diseases Society of America (AASLD-IDSA) guidelines recommend simplified hepatitis C virus (HCV) treatment with pan-genotypic sofosbuvir/velpatasvir or glecaprevir/pibrentasvir for eligible patients. This observational study used real-world data to assess these regimens' safety in eligible patients and develop an algorithm to identify patients suitable for simplified treatment by non-specialists.

Methods: 7,677 HCV-infected patients from Taiwan Hepatitis C Registry (TACR) who received at least one dose of sofosbuvir/velpatasvir or glecaprevir/pibrentasvir, and fulfilled the EASL/AASLD-IDSA criteria for simplified treatment were analyzed.

Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program.

Background/aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1-3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.