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A comparison of two biological markers of recent hepatitis C virus (HCV) infection: implications for the monitoring of interventions and strategies to reduce HCV transmission among people who inject drugs

机译:最近的丙型肝炎病毒(HCV)感染的两种生物学标记的比较:对监测干预措施和减少注射毒品者之间HCV传播的策略的意义

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Background Monitoring hepatitis C virus (HCV) incidence is important for assessing intervention impact. Longitudinal studies of people who inject drugs (PWID), using repeated biological tests, are costly; alternatively, incidence can be estimated using biological markers of recent infection in cross-sectional studies. Aim We aimed to compare incidence estimates obtained from two different biological markers of recent infection in a cross-sectional study to inform monitoring approaches for HCV elimination strategies. Method Samples from an unlinked anonymous bio-behavioural survey of PWID were tested for two recent infection markers: HCV RNA with anti-HCV negative (‘RNA’) and low-avidity anti-HCV with HCV RNA present (‘avidity’). These two markers were used separately and in combination to estimate HCV incidence. Results Between 2011 and 2013, 2,816 anti-HIV-negative PWID (25% female) who had injected during the preceding year were either HCV-negative or had one of the two markers of recent infection: 57 (2.0%) had the RNA marker and 90 (3.2%) the avidity marker. The two markers had similar distributions of risk and demographic factors. Pooled estimated incidence was 12.3 per 100 person-years (pyrs) (95% credible interval: 8.8–17.0) and not significantly different to avidity-only (p?=?0.865) and RNA-only (p?=?0.691) estimates. However, the RNA marker is limited by its short duration before anti-HCV seroconversion and the avidity marker by uncertainty around its duration. Conclusion Both markers have utility in monitoring HCV incidence among PWID. When HCV transmission is high, one marker may provide an accurate estimate of incidence; when it is low or decreasing, a combination may be required.
机译:背景监测丙型肝炎病毒(HCV)的发生率对于评估干预措施的影响非常重要。使用重复的生物学测试对注射药物的人进行纵向研究是昂贵的;或者,可以在横断面研究中使用近期感染的生物标记物来估计发病率。目的我们的目的是在一项横断面研究中比较从近期感染的两种不同生物学标志物获得的发病率估算值,以为HCV消除策略的监测方法提供信息。方法对来自PWID的无关联匿名生物行为调查的样本进行了测试,以检测两个最近的感染标记:具有抗HCV阴性('RNA')的HCV RNA和存在HCV RNA的低抗性抗HCV('avidity')。这两种标记分别或组合使用以估计HCV发生率。结果2011年至2013年,上一年注射的2,816例抗HIV阴性的PWID(25%的女性)为HCV阴性或具有近期感染的两个标志之一:57个(2.0%)具有RNA标志和90(3.2%)的亲和力标记。这两个标记的风险和人口因素分布相似。汇总的估计发生率为每100人年12.3(pyrs)(95%可信区间:8.8-17.0),与纯亲和力(p?=?0.865)和纯RNA(p?=?0.691)估计值无显着差异。 。但是,RNA标记物受抗HCV血清转化之前持续时间短的限制,而亲和力标记物受其持续时间不确定的限制。结论两种标记物均可用于监测PWID中的HCV发生率。当HCV传播率很高时,一种标记物可以提供准确的发病率估计值。当它低或降低时,可能需要组合。

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