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Viral Kinetics and Treatment Response in Patients with Hepatitis C During Induction and Standard Interferon Therapy in Combination with Ribavirin
Background: The early decline of hepatitis C virus (HCV) RNA levels during therapy may predict the outcome and can be utilized to improve treatment regimens. We studied the HCV RNA levels during induction and standard interferon (IFN) and ribavirin treatment. Methods: Patients received IFN 3 MU dail...
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Published in: | Scandinavian journal of gastroenterology 2002, Vol.37 (10), p.1228-1234 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Background: The early decline of hepatitis C virus (HCV) RNA levels during therapy may predict the outcome and can be utilized to improve treatment regimens. We studied the HCV RNA levels during induction and standard interferon (IFN) and ribavirin treatment. Methods: Patients received IFN 3 MU daily for 14 days followed by 3 MU three times a week (induction group; n = 10), or IFN 3 MU three times a week from start (standard group; n = 21), in combination with ribavirin 1000-1200 mg/day. HCV RNA was quantified day 0, 1, 2, 3, 7, 14, 28, 56 and 84 during treatment, and tested qualitatively at the end of treatment and at follow-up. Results: The initial viral load decline was more pronounced in the induction group, and in patients infected with genotype non-1. The sustained response rate was not significantly different between the study groups. At day 1, the mean viral load decline from baseline was significantly greater in patients who became sustained responders than in those who became non-responders; 1.4 log (96%) versus 0.3 log (55%) ( P < 0.05). All sustained responders had a viral load decline of at least 0.7 log (79%) after the first IFN dose. Conclusions: Our short-term induction treatment did not improve the long-term treatment outcome significantly, although a trend was seen. An absent or low initial viral load decline can be used to predict non-response in the individual patient. |
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ISSN: | 0036-5521 1502-7708 |
DOI: | 10.1080/003655202760373461 |