A precision randomized trial to evaluate the impact of tailored hepatitis C treatment adherence support on HCV treatment outcomes among people who inject drugs in India: Design and Baseline Characteristics of the STOP-C Trial.

IF 5 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH American journal of epidemiology Pub Date : 2024-11-08 DOI:10.1093/aje/kwae430
Shruti H Mehta, Bryan M Lau, Stephan Ehrhardt, Allison McFall, Mihili P Gunaratne, Jiban Baishya, Ashwini Kedar, Aylur K Srikrishnan, Julie Evans, Talia Loeb, Amrose Pradeep, M Suresh Kumar, David L Thomas, Gregory M Lucas, Sunil S Solomon
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Abstract

Efforts to eliminate hepatitis C virus (HCV) as a public health problem must include people who inject drugs (PWID). We describe the design and baseline characteristics of the Supporting Treatment Outcomes among PWID (STOP-C) trial which evaluates whether HCV treatment outcomes in PWID can be optimized by tailoring treatment support in 7 PWID-focused integrated HIV/HCV prevention/treatment centers. The design is a 3-arm, individual-level precision-randomized trial. Leveraging empirical data, a prediction model assigned participants as minimal or elevated risk for failure. Minimal risk participants were randomized 1:2:3 to low- (basic services), medium- (patient navigation), and high-intensity (patient navigation + directly observed therapy) support, respectively. Elevated risk participants were randomized 3:2:1 to high, medium, and low-intensity support respectively. All received 12 weeks of oral direct-acting antiviral therapy. The primary outcome is sustained virologic response (SVR) 12 weeks after treatment completion in an intention-to-treat analysis. Three thousand participants were randomized (2048 [68%] minimal risk, 952 [32%] elevated risk of failure). This approach will allow for the estimation of efficacy within treatment failure risk strata while preserving the ability to estimate the average treatment effect and has particular relevance with increasing emphasis of precision medicine in health care delivery.

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一项精准随机试验,旨在评估量身定制的丙型肝炎治疗依从性支持对印度注射吸毒者丙型肝炎病毒治疗效果的影响:STOP-C试验的设计和基线特征。
消除丙型肝炎病毒(HCV)这一公共卫生问题的工作必须包括注射吸毒者(PWID)。我们介绍了 "支持注射吸毒者治疗结果(STOP-C)"试验的设计和基线特征,该试验评估了在 7 个以注射吸毒者为重点的艾滋病/丙型肝炎病毒综合预防/治疗中心,是否可以通过定制治疗支持来优化注射吸毒者的丙型肝炎病毒治疗结果。试验设计为三臂、个体水平的精确随机试验。利用经验数据,预测模型将参与者分配为失败风险极低或极高的人群。低风险参与者按 1:2:3 随机分配到低强度(基本服务)、中强度(患者指导)和高强度(患者指导 + 直接观察治疗)支持。高风险参与者以 3:2:1 的比例被随机分配到高强度、中等强度和低强度支持中。所有参与者都接受了为期 12 周的口服直接作用抗病毒疗法。在意向治疗分析中,主要结果是治疗完成 12 周后的持续病毒学应答(SVR)。三千名参与者接受了随机治疗(2048 人[68%] 风险极低,952 人[32%] 失败风险较高)。这种方法既能估计治疗失败风险分层内的疗效,又能保留估计平均治疗效果的能力,在医疗保健服务越来越强调精准医疗的情况下,这种方法具有特别重要的意义。
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来源期刊
American journal of epidemiology
American journal of epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
7.40
自引率
4.00%
发文量
221
审稿时长
3-6 weeks
期刊介绍: The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research. It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.
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