Study design approaches for future active-controlled HIV prevention trials.

Statistical communications in infectious diseases Pub Date : 2024-01-22 eCollection Date: 2024-01-01 DOI:10.1515/scid-2023-0002
Deborah Donnell, Sheila Kansiime, David V Glidden, Alex Luedtke, Peter B Gilbert, Fei Gao, Holly Janes
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Abstract

Objectives: Vigorous discussions are ongoing about future efficacy trial designs of candidate human immunodeficiency virus (HIV) prevention interventions. The study design challenges of HIV prevention interventions are considerable given rapid evolution of the prevention landscape and evidence of multiple modalities of highly effective products; future trials will likely be 'active-controlled', i.e., not include a placebo arm. Thus, novel design approaches are needed to accurately assess new interventions against these highly effective active controls.

Methods: To discuss active control design challenges and identify solutions, an initial virtual workshop series was hosted and supported by the International AIDS Enterprise (October 2020-March 2021). Subsequent symposia discussions continue to advance these efforts. As the non-inferiority design is an important conceptual reference design for guiding active control trials, we adopt several of its principles in our proposed design approaches.

Results: We discuss six potential study design approaches for formally evaluating absolute prevention efficacy given data from an active-controlled HIV prevention trial including using data from: 1) a registrational cohort, 2) recency assays, 3) an external trial placebo arm, 4) a biomarker of HIV incidence/exposure, 5) an anti-retroviral drug concentration as a mediator of prevention efficacy, and 6) immune biomarkers as a mediator of prevention efficacy.

Conclusions: Our understanding of these proposed novel approaches to future trial designs remains incomplete and there are many future statistical research needs. Yet, each of these approaches, within the context of an active-controlled trial, have the potential to yield reliable evidence of efficacy for future biomedical interventions.

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未来主动控制艾滋病预防试验的研究设计方法。
目的:目前正在热烈讨论候选人类免疫缺陷病毒(HIV)预防干预措施的未来疗效试验设计。鉴于艾滋病预防领域的快速发展以及多种高效产品模式的证据,艾滋病预防干预措施的研究设计面临巨大挑战;未来的试验很可能是 "主动对照",即不包括安慰剂组。因此,需要采用新颖的设计方法,对照这些高效的主动对照来准确评估新的干预措施:为了讨论主动对照设计方面的挑战并找出解决方案,国际艾滋病企业主办并支持了最初的系列虚拟研讨会(2020 年 10 月至 2021 年 3 月)。随后的专题讨论会将继续推进这些工作。由于非劣效性设计是指导主动对照试验的重要概念参考设计,我们在提议的设计方法中采用了其中的几项原则:结果:我们讨论了六种潜在的研究设计方法,用于根据主动对照艾滋病预防试验的数据正式评估绝对预防效果,包括使用以下数据:1)注册队列;2)复发检测;3)外部试验安慰剂臂;4)艾滋病发病率/暴露的生物标志物;5)作为预防效果中介的抗逆转录病毒药物浓度;6)作为预防效果中介的免疫生物标志物:我们对这些拟议的未来试验设计新方法的理解仍不全面,未来还有许多统计研究需求。然而,在积极对照试验的背景下,这些方法中的每一种都有可能为未来的生物医学干预措施提供可靠的疗效证据。
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Study design approaches for future active-controlled HIV prevention trials. The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials. Nonlinear mixed-effects models for HIV viral load trajectories before and after antiretroviral therapy interruption, incorporating left censoring. Estimation and interpretation of vaccine efficacy in COVID-19 randomized clinical trials Sample size calculation for active-arm trial with counterfactual incidence based on recency assay.
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