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First phase viral kinetic parameters as predictors of treatment response and their influence on the second phase viral decline.

机译:第一阶段病毒动力学参数可作为治疗反应的预测指标,及其对第二阶段病毒下降的影响。

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summary. It has recently been shown that upon initiation of interferon (IFN) treatment there is a biphasic decline in hepatitis C virus (HCV) RNA levels. In preliminary results, the rate of second phase viral decline has been shown to be an excellent predictor of treatment response. In this analysis, we determined whether the first phase viral kinetic parameters affected the rate of second phase viral decline. We also assessed whether first phase viral kinetic parameters could be used to predict treatment response within 24 h of initiating treatment. This study is a retrospective analysis of two completed studies from which detailed kinetic data were obtained in patients infected with genotype 1 HCV. In both studies, viral levels were measured frequently over the first 24 h, allowing the determination of IFNs effectiveness in blocking viral production and the viral load at the end of the first phase (v1). The second phase decline slope was calculated by log-linear regression on measurements of serum HCV RNA during days 2, 7 and 14. In study one, sustained viral response (SVR) rates were obtained, allowing the determination of the first phase's predictive power for SVR. Logistic regression and fisher exact tests were used to analyse data. In study one, no patient achieved SVR without an IFN effectiveness greater than 98% and a V1 less than 250 000 copies/mL. When V1 and IFN effectiveness werecombined to predict SVR, a negative predictive value= 100%, positive predictive value=71% and accuracy of 95% was obtained after only 24 h of IFN treatment. Both studies illustrated strong correlations for both IFN effectiveness and V1 with the rate of 2nd phase slope (P < 0.001). V1 also correlated significantly with a calculation of infected cell loss (delta), which is a major determinant of the second phase viral decline. These results suggest that early viral kinetics may predict lack of response after only 24 h of treatment initiation and indicate a strong link between the degree of viral load reduction during the first phase, and the subsequent 2nd phase decline slope. This might be explained by a viral dynamics model assuming a jump-start of the immune response when viral loads are reduced below a threshold, subsequently giving rise to a faster 2nd phase decline slope.
机译:概要。最近显示,在开始干扰素(IFN)治疗后,丙型肝炎病毒(HCV)RNA水平双相下降。在初步结果中,第二阶段病毒下降的速率已被证明是治疗反应的极佳预测指标。在此分析中,我们确定了第一阶段病毒动力学参数是否影响第二阶段病毒下降的速度。我们还评估了第一阶段病毒动力学参数是否可用于在开始治疗后的24小时内预测治疗反应。这项研究是对两项完整研究的回顾性分析,从中获得了感染基因型1 HCV的患者的详细动力学数据。在这两项研究中,在最初的24小时内都经常测量病毒水平,从而可以确定IFNs在第一阶段结束时(v1)阻断病毒产生的有效性和病毒载量。通过对数线性回归,在第2、7和14天血清HCV RNA的测量中计算出第二阶段的下降斜率。在一项研究中,获得了持续的病毒应答(SVR)速率,从而确定了第一阶段的预测能力SVR。 Logistic回归和Fisher精确检验用于分析数据。在一项研究中,没有一名患者获得SVR,且IFN效力不高于98%,V1低于25万拷贝/ mL。当将V1和IFN的有效性结合起来预测SVR时,仅用IFN治疗24小时,阴性预测值= 100%,阳性预测值= 71%,准确度为95%。两项研究均显示出IFN有效性和V1与第二相斜率的密切相关(P <0.001)。 V1还与感染细胞损失(delta)的计算显着相关,这是第二阶段病毒减少的主要决定因素。这些结果表明,早期病毒动力学可能仅在开始治疗24小时后即可预测缺乏反应,并表明第一阶段的病毒载量降低程度与随后的第二阶段的下降斜率之间存在密切的联系。这可以通过病毒动力学模型来解释,该模型假设当病毒载量降低到阈值以下时免疫反应迅速开始,随后产生更快的第二相下降斜率。

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