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用于高效评估埃博拉病毒治疗方法的反应适应性随机化平台试验:大流行应对模型。

A response adaptive randomization platform trial for efficient evaluation of Ebola virus treatments: A model for pandemic response.

作者信息

Berry Scott M, Petzold Elizabeth A, Dull Peter, Thielman Nathan M, Cunningham Coleen K, Corey G Ralph, McClain Micah T, Hoover David L, Russell James, Griffiss J McLeod, Woods Christopher W

机构信息

Berry Consultants LLC, Austin, TX, USA University of Kansas Medical Center, Kansas City, KS, USA.

Duke Clinical Research Institute, Durham, NC, USA.

出版信息

Clin Trials. 2016 Feb;13(1):22-30. doi: 10.1177/1740774515621721. Epub 2016 Jan 14.

Abstract

The outbreak of Ebola virus disease in West Africa is the largest ever recorded. Numerous treatment alternatives for Ebola have been considered, including widely available repurposed drugs, but initiation of enrollment into clinical trials has been limited. The proposed trial is an adaptive platform design. Multiple agents and combinations will be investigated simultaneously. Additionally, new agents may enter the trial as they become available, and failing agents may be removed. In order to accommodate the many possible agents and combinations, a critical feature of this design is the use of response adaptive randomization to assign treatment regimens. As the trial progresses, the randomization ratio evolves to favor the arms that are performing better, making the design also suitable for all-cause pandemic preparedness planning. The study was approved by US and Sierra Leone ethics committees, and reviewed by the US Food and Drug Administration. Additionally, data management, drug supply lines, and local sites were prepared. However, in response to the declining epidemic seen in February 2015, the trial was not initiated. Sierra Leone remains ready to rapidly activate the protocol as an emergency response trial in the event of a resurgence of Ebola. (ClinicalTrials.gov Identifier: NCT02380625.) In summary, we have designed a single controlled trial capable of efficiently identifying highly effective or failing regimens among a rapidly evolving list of proposed therapeutic alternatives for Ebola virus disease and to treat the patients within the trial effectively based on accruing data. Provision of these regimens, if found safe and effective, would have a major impact on future epidemics by providing effective treatment options.

摘要

西非爆发的埃博拉病毒病是有记录以来规模最大的一次。针对埃博拉病毒病已考虑了多种治疗方案,包括广泛可得的重新利用的药物,但临床试验的入组启动情况有限。拟议中的试验采用适应性平台设计。将同时对多种药物及联合用药进行研究。此外,新药物可用时可进入试验,效果不佳的药物可被剔除。为适应多种可能的药物及联合用药情况,该设计的一个关键特征是使用反应适应性随机化来分配治疗方案。随着试验推进,随机化比例会不断演变,以青睐表现更佳的组,这使得该设计也适用于全病因大流行防范规划。该研究获得了美国和塞拉利昂伦理委员会的批准,并经美国食品药品监督管理局审查。此外,还准备了数据管理、药品供应线及当地试验点。然而,鉴于2015年2月埃博拉疫情呈下降趋势,该试验未启动。塞拉利昂仍准备好在埃博拉疫情复发时迅速启动该方案作为应急试验。(ClinicalTrials.gov标识符:NCT02380625。)总之,我们设计了一项单一对照试验,能够在快速演变的埃博拉病毒病拟议治疗方案清单中高效识别出高效或无效的治疗方案,并根据累积数据有效地治疗试验中的患者。如果这些治疗方案被证明安全有效,那么通过提供有效的治疗选择,将对未来的疫情产生重大影响。

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