scholarly journals Marijuana Use in Hepatitis C Infection does not Affect Liver Biopsy Histology or Treatment Outcomes

2014 ◽  
Vol 28 (7) ◽  
pp. 381-384 ◽  
Author(s):  
Theresa Liu ◽  
Glen T Howell ◽  
Lucy Turner ◽  
Kimberley Corace ◽  
Gary Garber ◽  
...  

BACKGROUND: Marijuana smoking is prevalent among hepatitis C virus-infected patients. The literature assessing the influence of marijuana on liver disease progression and hepatitis C virus antiviral treatment outcomes is conflicting.METHODS: The authors evaluated hepatitis C virus RNA-positive patients followed at The Ottawa Hospital Viral Hepatitis Clinic (Ottawa, Ontario) from 2000 to 2009. Using The Ottawa Hospital Viral Hepatitis Clinic database and charts, information regarding demographics, HIV coinfection, alcohol use, liver biopsy results, treatment outcomes and self-reported marijuana use was extracted. Biopsy characteristics and hepatitis C virus antiviral treatment outcomes were assessed for association with categorized marijuana use by adjusted logistic regression; covariates were specified according to clinical relevance a priori.RESULTS: Information regarding marijuana use was available for 550 patients, 159 (28.9%) of whom were using marijuana at the time of first assessment. Biopsy fibrosis stage and marijuana use data were available for 377 of these 550 (F0-2=72.3%). Overall, marijuana use did not predict fibrosis stage, inflammation grade or steatosis. Sustained virological response and marijuana use data were available for 359 of the 550 cohort participants; a total of 211 (58.8%) achieved a sustained virological response. Marijuana use was not associated with premature interruption of therapy for side effects, the likelihood of completing a full course of therapy or sustained virological response.CONCLUSION: Marijuana use did not influence biopsy histology or alter key hard outcomes of hepatitis C virus antiviral therapy.

2009 ◽  
Vol 49 (3) ◽  
pp. 466-472 ◽  
Author(s):  
Julian Schulze zur Wiesch ◽  
Dorothea Pieper ◽  
Ingrid Stahmer ◽  
Thomas Eiermann ◽  
Peter Buggisch ◽  
...  

2005 ◽  
Vol 12 (1) ◽  
pp. 51-57 ◽  
Author(s):  
Roberto J. Firpi ◽  
Haizhen Zhu ◽  
Giuseppe Morelli ◽  
Manal F. Abdelmalek ◽  
Consuelo Soldevila-Pico ◽  
...  

Kanzo ◽  
2021 ◽  
Vol 62 (9) ◽  
pp. 578-584
Author(s):  
Yasunao Numata ◽  
Shigeru Sasaki ◽  
Noriyuki Akutsu ◽  
Takehiro Hirano ◽  
Kohei Wagatsuma ◽  
...  

2019 ◽  
Vol 70 (11) ◽  
pp. 3964-3966
Author(s):  
Ioan Sergiu Micu ◽  
Marilena Musat ◽  
Yousef Al Hamidi ◽  
Andrada Dumitru ◽  
Anca Rogoveanu ◽  
...  

Chronic viral infections affecting the liver represents a global burden for medical comunities. More than 170 million individuals are infected chronically with hepatitis C virus (HCV), this accounting about 2�3% of the world�s population. Despite numerous progresses aquired in viral pahogenesis and treatment, chronic hepatitis C management is influenced by a multitude of factors. Interleukin IL-28 beta subunit (IL28B) demonstrated to be involved in both sustained virological response (SVR) to treatment, but even with spontaneous viral clearance without any therapy. In the era of direct antiviral agents (DAAs) we aimed to find out what was the real influence of IL28B phenotypes over the response to Peg-IFN and Ribavirin treatment in patients with chronic hepatitis C, many of theses being non-responders or relapsers, and as consequence, to optimize the referal of patients to more expensive and efficient treatments. In a retrospectively manner, we analyzed the IL28B phenotype and its influence over the rapid viral response (RVR), early viral response (EVR) and sustained viral response (SVR), in 250 patients HCV treated patients. We made correlations between the treatment response rates and the IL28B polymorphism.TT phenotype was correlated negatively with all parameters studied, while CC phenotype was correlated with the best response rates. We concluded that IL28B phenotypes interfere with the EVR and SVR rates, IL28B phenotype being an independent prognostic factor for antiviral treatment response in our patient groups, and according to this characteristics, we created the premise to optimize the patients referal to expensive therapies as DAAs.


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