首页> 美国卫生研究院文献>Annals of the American Thoracic Society >The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design
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The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design

机译:REMAP-CAP(针对社区获得性肺炎的随机嵌入式多因素自适应平台)研究。基本原理和设计

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摘要

There is broad interest in improved methods to generate robust evidence regarding best practice, especially in settings where patient conditions are heterogenous and require multiple concomitant therapies. Here, we present the rationale and design of a large, international trial that combines features of adaptive platform trials with pragmatic point-of-care trials to determine best treatment strategies for patients admitted to an intensive care unit with severe community-acquired pneumonia. The trial uses a novel design, entitled “a randomized embedded multifactorial adaptive platform.” The design has five key features: ) randomization, allowing robust causal inference; ) embedding of study procedures into routine care processes, facilitating enrollment, trial efficiency, and generalizability; ) a multifactorial statistical model comparing multiple interventions across multiple patient subgroups; ) response-adaptive randomization with preferential assignment to those interventions that appear most favorable; and ) a platform structured to permit continuous, potentially perpetual enrollment beyond the evaluation of the initial treatments. The trial randomizes patients to multiple interventions within four treatment domains: antibiotics, antiviral therapy for influenza, host immunomodulation with extended macrolide therapy, and alternative corticosteroid regimens, representing 240 treatment regimens. The trial generates estimates of superiority, inferiority, and equivalence between regimens on the primary outcome of 90-day mortality, stratified by presence or absence of concomitant shock and proven or suspected influenza infection. The trial will also compare ventilatory and oxygenation strategies, and has capacity to address additional questions rapidly during pandemic respiratory infections. As of January 2020, REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) was approved and enrolling patients in 52 intensive care units in 13 countries on 3 continents. In February, it transitioned into pandemic mode with several design adaptations for coronavirus disease 2019. Lessons learned from the design and conduct of this trial should aid in dissemination of similar platform initiatives in other disease areas.
机译:产生关于最佳实践的可靠证据的改进方法引起了广泛的兴趣,特别是在患者状况异质且需要多种伴随疗法的情况下。在这里,我们介绍了一项大型国际试验的原理和设计,该试验结合了适应性平台试验与实用护理点试验的特点,以确定重症监护病房并发严重社区获得性肺炎的患者的最佳治疗策略。该试验使用了一种新颖的设计,名为“随机嵌入式多因素自适应平台”。该设计具有五个关键特征:)随机化,可以进行可靠的因果推断; )将研究程序嵌入常规护理流程中,以提高入组率,试验效率和推广性; )比较多个患者亚组的多种干预措施的多因素统计模型; )对反应最敏感的干预措施,并优先分配那些看起来最有利的干预措施; )一个平台,其结构允许在评估初始治疗后继续进行可能永久性的注册。该试验将患者随机分配到四个治疗领域内的多种干预措施:抗生素,流感抗病毒治疗,大环内酯类药物扩展治疗的宿主免疫调节以及代表240种治疗方案的糖皮质激素替代治疗。该试验针对90天死亡率的主要结果(以是否存在伴随休克以及已证实或怀疑的流感感染进行分层)得出了方案之间优,劣,同等的估计。该试验还将比较通气和充氧策略,并具有在大流行性呼吸道感染中迅速解决其他问题的能力。截至2020年1月,REGAP-CAP(针对社区获得性肺炎的随机嵌入式多因素自适应平台)已获批准,并在3大洲的13个国家的52个重症监护病房招募了患者。在2月份,它通过针对2019年的冠状病毒疾病的几种设计改编而转变为大流行模式。从该试验的设计和实施中学到的经验应该有助于在其他疾病领域传播类似的平台计划。

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