丙型肝炎病毒血清型在预测慢性丙型肝炎治疗反应中的应用。

E B Keeffe, G M Dusheiko, S P James, K D Mullen, G T Everson, N R Pimstone, J Donovan, D Albert
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引用次数: 0

摘要

丙型肝炎病毒(HCV)基因分型已被证明可预测对干扰素的反应,但费用昂贵。HCV血清分型更便宜、更简单,可能同样有用。利用一项比较共识干扰素(CIFN)和干扰素α -2b (IFN α -2b)治疗慢性HCV患者的大型随机试验的数据,我们评估了基于HCV血清型和基因型的应答率。本分析纳入的患者接受皮下注射9微克CIFN (n = 232)或3 μ IFN α -2b (n = 240),每周3次,持续24周,随后观察24周。在治疗期间、治疗结束时和治疗后定期测量血清HCV RNA浓度。HCV抗体类型及其相应基因型对干扰素的反应相似。治疗结束时,血清1型患者的HCV RNA应答率(定义为连续两次检测不到血清)为29%,而基因1型患者为24%;IFN α -2b后分别为14%和15%。与治疗无关,血清型或基因2型或3型感染的患者比血清型或基因1型感染的患者有更好的治疗反应。基于HCV抗体分型和基因分型获得了类似的结果,表明前者在预测对干扰素的反应方面具有潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utility of hepatitis C virus serotypes in predicting response to treatment of chronic hepatitis C. Consensus Interferon Study Group.

Hepatitis C virus (HCV) genotyping has been shown to predict response to interferon, but is expensive. HCV serotyping is less expensive and simpler, and may be similarly useful. Using data from a large, randomized trial comparing consensus interferon (CIFN) and interferon alfa-2b (IFN alfa-2b) in patients with chronic HCV, we evaluated response rates based on HCV serotypes versus genotypes. Patients included in this analysis received subcutaneous injection of 9 microg CIFN (n = 232) or 3 MU IFN alfa-2b (n = 240) three times weekly for 24 weeks followed by 24 weeks of observation. Serum HCV RNA concentrations were measured regularly during treatment and at the end of both the treatment and post-treatment periods. Response to interferon was similar for HCV antibody types and their corresponding genotypes. The end-of-treatment HCV RNA rate of response (defined as undetectable serum on two consecutive assessments) was 29% for serotype 1 versus 24% for genotype 1 after CIFN; and 14% versus 15%, respectively, after IFN alfa-2b. Independently of treatment, patients infected with serotype or genotype 2 or 3 had a better therapeutic response than those infected with serotype or genotype 1. Similar results were obtained based on HCV antibody typing and genotyping, suggesting the potential of the former for predicting response to interferon.

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