The aim of this study was to compare, in an open-label study, the efficacy and safety of a combination of interferon (IFN) and amantadine (AMA) with that of IFN alone in previously untreated patients with chronic hepatitis C. A total of 200 patients were randomized to 6 MU of IFN-alpha2a 3 times per week, with 200 mg of AMA daily (n = 99) or to an identical dose of interferon alpha2a (n = 101). Patients were treated for 12 months and observed for 6 months' posttreatment. At the completion of treatment, 28.7% of patients in the monotherapy group and 45.5% in the combination group had a virologic response (P =.014). At 6 months' posttreatment, a sustained virologic response was observed in 16.8% (95% CI: 9-23) of patients with IFN alone versus 29.3% (95% CI: 19-37) of patients who were treated with combination therapy (P =.036). In each of the 2 treatments, genotype was the only predictive parameter for a sustained response. At the logistic regression analysis, therapy and genotype were the only 2 parameters with an independent predictive value. In the combination group, at examination of month 3, hepatitis C virus (HCV)-RNA status had a 97.6% (95% CI: 93-102) positive predictive value and a 50% (95% CI: 37-63) negative predictive value for a sustained virologic clearance. A substantial proportion of naïve patients with chronic hepatitis C have an end-of-treatment and end-of-follow-up virologic and biochemical response to a combination of IFN and AMA. This new treatment appears safe and well tolerated.
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http://dx.doi.org/10.1053/jhep.2001.23537 | DOI Listing |
J Inflamm Res
January 2025
Department of Infectious Disease, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, People's Republic of China.
Chronic liver disease ranks as the 11th leading cause of death worldwide, while hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related mortality, representing a substantial risk to public health. Over the past few decades, the global landscape of chronic liver diseases, including hepatitis, metabolic dysfunction-associated steatotic liver disease (MASLD), liver fibrosis, and HCC, has undergone substantial changes. Copper, a vital trace element for human health, is predominantly regulated by the liver.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Gastroenterology and Hepatology, Tianjin Third Central Hospital, Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Institute of Hepatobiliary Disease, Tianjin, China.
Objective: Although pegylated interferon α-2b (PEG-IFN α-2b) therapy for chronic hepatitis B has received increasing attention, determining the optimal treatment course remains challenging. This research aimed to develop an efficient model for predicting interferon (IFN) treatment course.
Methods: Patients with chronic hepatitis B, undergoing PEG-IFN α-2b monotherapy or combined with NAs (Nucleoside Analogs), were recruited from January 2018 to December 2023 at Tianjin Third Central Hospital.
JHEP Rep
February 2025
NIHR Health Informatics Collaborative, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
JHEP Rep
February 2025
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheonsi Gyeonggido, Republic of Korea.
Background & Aims: Tenofovir alafenamide (TAF) lacks extensive research regarding its impact on hepatocellular carcinoma (HCC). This study evaluated and compared the effects of TAF, tenofovir disoproxil fumarate (TDF), and entecavir (ETV) on HCC incidence using nationwide claim data.
Methods: In total, 75,816 patients with treatment-naïve HBV were included in the study and divided into TAF (n = 25,680), TDF (n = 26,954), and ETV (n = 23,182) groups after exclusions.
Biostatistics
December 2024
Department of Statistical Sciences, College of Arts and Sciences, Wake Forest University, 127 Manchester Hall, Winston-Salem, NC, 27109, United States.
The opioid epidemic is a significant public health challenge in North Carolina, but limited data restrict our understanding of its complexity. Examining trends and relationships among different outcomes believed to reflect opioid misuse provides an alternative perspective to understand the opioid epidemic. We use a Bayesian dynamic spatial factor model to capture the interrelated dynamics within six different county-level outcomes, such as illicit opioid overdose deaths, emergency department visits related to drug overdose, treatment counts for opioid use disorder, patients receiving prescriptions for buprenorphine, and newly diagnosed cases of acute and chronic hepatitis C virus and human immunodeficiency virus.
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