Literature DB >> 21338453

Changes in hepatitis C viral load during first 14 days can predict the undetectable time point of serum viral load by pegylated interferon and ribavirin therapy.

Jun Itakura1, Yasuhiro Asahina, Nobuharu Tamaki, Itsuko Hirayama, Yutaka Yasui, Tomohiro Tanaka, Mitsuaki Sato, Ken Ueda, Teiji Kuzuya, Kaoru Tsuchiya, Hiroyuki Nakanishi, Masayuki Kurosaki, Gretchen S Gabriel, George J Schneider, Namiki Izumi.   

Abstract

AIM: In the treatment of chronic hepatitis C, pegylated interferon (PEG-IFN) and ribavirin combination therapy must be continued for an adequate duration to improve the rate of sustained virological response. We attempted to predict the time point at which serum hepatitis C virus (HCV) RNA are undetectable during combination therapy.
METHODS: Patients with HCV genotype 1b were enrolled in a model preparation (n = 35) and a validation group (n = 70). All patients received PEG-IFN-α-2b/ribavirin combination therapy for at least 48 weeks, and serological samples were screened a minimum of 17 times during the therapy. Serum HCV RNA were measured by the Abbott RealTime HCV assay. Using the HCV dynamics model described by Neumann et al., we used multiple linear regression analysis to select factors that affected the undetectable time point.
RESULTS: Difference in viral load between weeks 1 and 2 was the only predictive factor for the undetectable time point of serum HCV RNA (r(2)  = 0.67, P < 0.0005), and we derived the following prediction equation: undetectable time point (week) = 13.495 × (viral load at day 14 [log IU/mL] - viral load at day 7 [log IU/mL]) + 25.456. The equation was applicable to the validation group.
CONCLUSION: We created a formula for predicting the undetectable time point from viral load measurements early in PEG-IFN-α-2b/ribavirin combination therapy. An early response reflects sensitivity to therapy, and the estimation of an undetectable time point would be useful for determining the optimal duration of treatment for chronic hepatitis C patients.
© 2011 The Japan Society of Hepatology.

Entities:  

Year:  2011        PMID: 21338453     DOI: 10.1111/j.1872-034X.2010.00768.x

Source DB:  PubMed          Journal:  Hepatol Res        ISSN: 1386-6346            Impact factor:   4.288


  3 in total

1.  Pharmacokinetic/Pharmacodynamic predictors of clinical potency for hepatitis C virus nonnucleoside polymerase and protease inhibitors.

Authors:  Micaela B Reddy; Peter N Morcos; Sophie Le Pogam; Ying Ou; Karl Frank; Thierry Lave; Patrick Smith
Journal:  Antimicrob Agents Chemother       Date:  2012-04-02       Impact factor: 5.191

Review 2.  IFN-λ: A New Class of Interferon with Distinct Functions-Implications for Hepatitis C Virus Research.

Authors:  Bing Liu; Ian McGilvray; Limin Chen
Journal:  Gastroenterol Res Pract       Date:  2015-05-20       Impact factor: 2.260

Review 3.  Molecular methods for pathogen and microbial community detection and characterization: current and potential application in diagnostic microbiology.

Authors:  Christopher D Sibley; Gisele Peirano; Deirdre L Church
Journal:  Infect Genet Evol       Date:  2012-02-09       Impact factor: 3.342

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.