BACKGROUND: Ribavirin is an essential component in the treatment of chronic hepatitis C (HCV) infection. Although ribavirin dose is weight-based, data in the literature suggest large between-patient variability in plasma ribavirin concentrations. Recent studies indicate that higher ribavirin exposure results in higher sustained viral response rates. Monitoring ribavirin concentration is suggested in the literature, but it is unclear at what time point during treatment plasma ribavirin concentrations should be monitored. AIM: To investigate the association between early plasma ribavirin concentrations and ribavirin dosing with steady-state (Css) concentration and the between- and within-patient variability in plasma ribavirin concentration in clinical practice. METHODS: We performed a prospective observational cohort study in patients with HCV who received pegylated interferon in combination with oral weight-based ribavirin (12-15 mg/kg) twice daily. Trough plasma ribavirin concentrations at Weeks 1, 2, 4, 8, 12, 16, 20, and 24 were studied using a validated high-performance liquid chromatography assay. RESULTS: In total, 53 patients (37 male, 16 female) with a mean age of 51 years (range, 26-68 years) were included and 209 samples were collected. There was a significant correlation between Week 2 as well as Week 4 and plasma ribavirin Css (r = 0.589 and r = 0.714, P < 0.05, respectively). Ribavirin Css was reached at Week 8 of HCV treatment. There was no correlation between dose in mg/kg and Css (r = 0.181, P = 0.263). The between- and within-patient coefficients of variation of plasma ribavirin concentrations at Week 8 and beyond were 43% and 13%, respectively. CONCLUSION: In HCV-infected patients, ribavirin steady-state concentrations can be predicted by measurement of concentrations made early after the start of therapy.
BACKGROUND:Ribavirin is an essential component in the treatment of chronic hepatitis C (HCV) infection. Although ribavirin dose is weight-based, data in the literature suggest large between-patient variability in plasma ribavirin concentrations. Recent studies indicate that higher ribavirin exposure results in higher sustained viral response rates. Monitoring ribavirin concentration is suggested in the literature, but it is unclear at what time point during treatment plasma ribavirin concentrations should be monitored. AIM: To investigate the association between early plasma ribavirin concentrations and ribavirin dosing with steady-state (Css) concentration and the between- and within-patient variability in plasma ribavirin concentration in clinical practice. METHODS: We performed a prospective observational cohort study in patients with HCV who received pegylated interferon in combination with oral weight-based ribavirin (12-15 mg/kg) twice daily. Trough plasma ribavirin concentrations at Weeks 1, 2, 4, 8, 12, 16, 20, and 24 were studied using a validated high-performance liquid chromatography assay. RESULTS: In total, 53 patients (37 male, 16 female) with a mean age of 51 years (range, 26-68 years) were included and 209 samples were collected. There was a significant correlation between Week 2 as well as Week 4 and plasma ribavirin Css (r = 0.589 and r = 0.714, P < 0.05, respectively). Ribavirin Css was reached at Week 8 of HCV treatment. There was no correlation between dose in mg/kg and Css (r = 0.181, P = 0.263). The between- and within-patient coefficients of variation of plasma ribavirin concentrations at Week 8 and beyond were 43% and 13%, respectively. CONCLUSION: In HCV-infectedpatients, ribavirin steady-state concentrations can be predicted by measurement of concentrations made early after the start of therapy.
Authors: Yaron Rotman; Mazen Noureddin; Jordan J Feld; Jeremie Guedj; Michael Witthaus; Hwalih Han; Yoon J Park; Su-Hyung Park; Theo Heller; Marc G Ghany; Edward Doo; Christopher Koh; Adil Abdalla; Naveen Gara; Souvik Sarkar; Emmanuel Thomas; Golo Ahlenstiel; Birgit Edlich; Rachel Titerence; Leah Hogdal; Barbara Rehermann; Harel Dahari; Alan S Perelson; Jay H Hoofnagle; T Jake Liang Journal: Gut Date: 2013-02-08 Impact factor: 23.059
Authors: Helen Kovari; Stefan Russmann; Bruno Ledergerber; Daniel Müller; Margalida Rotger; Pablo Velli; Matthias Cavassini; Juan Ambrosioni; Andrea Bregenzer; Marcel Stöckle; Enos Bernasconi; Andri Rauch; Roberto F Speck Journal: PLoS One Date: 2015-07-28 Impact factor: 3.240
Authors: Ana M Ortega-Prieto; Julie Sheldon; Ana Grande-Pérez; Héctor Tejero; Josep Gregori; Josep Quer; Juan I Esteban; Esteban Domingo; Celia Perales Journal: PLoS One Date: 2013-08-16 Impact factor: 3.240