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首页> 外文期刊>Journal of chemotherapy >Viability of pegIFN alpha-RBV for CHC in the direct acting antiviral era: a practical algorithm between efficacy and cost containment
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Viability of pegIFN alpha-RBV for CHC in the direct acting antiviral era: a practical algorithm between efficacy and cost containment

机译:pegIFN α-RBV 在直接作用抗病毒时代对 CHC 的可行性:疗效和成本控制之间的实用算法

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The classical pegylated interferon alpha (peg-IFN alpha) and ribavirin (RBV) treatment of chronic hepatitis C (CHC) is progressively being replaced by new direct acting antivirals, whose costs remain a major barrier to widespread use. Using baseline data and viral kinetics, we developed a predictive algorithm to allocate to DAA patients who are not going to respond to peg-IFN alpha/RBV. This prospective study evaluated 205 CHC patients treated with peg-IFN alpha/RBV. HCVRNA kinetics during the initial 3 days of therapy and baseline variables including age, genotype, fibrosis and ALTs were used to construct a prediction rule in terms of sustained virological response (SVR). One hundred and twenty-one patients achieved an SVR (59). Variables independently associated with SVR were HCVRNA, ALT, glycaemia, viral genotype, and fibrosis. The decline of viremia from baseline to 48/72 h was significantly different in SVR compared to non-SVR patients (2.2 vs. 0.65 log10 IU/mL; p 1.2 logs had a positive predictive value of 92. A combination of HCVRNA kinetics and a score based on pre-treatment parameters was highly accurate in predicting SVR in most patients. Outcome of peg-IFN alpha/RBV treatment may be predicted combining evaluation of baseline variables and HCVRNA kinetics. This allows to individualize treatment, reserving newer and more expensive DAAs to CHC patients who are in most need of them.
机译:慢性丙型肝炎 (CHC) 的经典聚乙二醇干扰素 α (peg-IFN α) 和利巴韦林 (RBV) 治疗正逐渐被新的直接作用抗病毒药物所取代,其成本仍然是广泛使用的主要障碍。利用基线数据和病毒动力学,我们开发了一种预测算法,用于分配给对 peg-IFN α/RBV 没有反应的 DAA 患者。这项前瞻性研究评估了 205 例接受 peg-IFN α/RBV 治疗的 CHC 患者。使用治疗最初 3 天的 HCVRNA 动力学和包括年龄、基因型、纤维化和 ALT 在内的基线变量来构建持续病毒学反应 (SVR) 的预测规则。121 例患者达到 SVR (59%)。与SVR独立相关的变量是HCVRNA、ALT、血糖、病毒基因型和纤维化。与非SVR患者相比,SVR患者从基线到48/72小时的病毒血症下降有统计学意义(2.2 vs. 0.65 log10 IU/mL;p 1.2 logs 的阳性预测值为 92%。HCVRNA 动力学和基于治疗前参数的评分相结合,在预测大多数患者的 SVR 方面非常准确。peg-IFN α/RBV 治疗的结果可以结合基线变量和 HCVRNA 动力学的评估来预测。这允许个性化治疗,为最需要它们的 CHC 患者保留更新和更昂贵的 DAA。

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