TY - JOUR
T1 - The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design
AU - Angus, Derek C.
AU - Berry, Scott
AU - Lewis, Roger J.
AU - Al-Beidh, Farah
AU - Arabi, Yaseen
AU - van Bentum-Puijk, Wilma
AU - Bhimani, Zahra
AU - Bonten, Marc
AU - Broglio, Kristine
AU - Brunkhorst, Frank
AU - Cheng, Allen C.
AU - Chiche, Jean-Daniel
AU - de Jong, Menno
AU - Detry, Michelle
AU - Goossens, Herman
AU - Gordon, Anthony
AU - Green, Cameron
AU - Higgins, Alisa M.
AU - Hullegie, Sebastiaan J.
AU - Kruger, Peter
AU - Lamontagne, Francois
AU - Litton, Edward
AU - Marshall, John
AU - McGlothlin, Anna
AU - McGuinness, Shay
AU - Mouncey, Paul
AU - Murthy, Srinivas
AU - Nichol, Alistair
AU - O'Neill, Genevieve K.
AU - Parke, Rachael
AU - Parker, Jane
AU - Rohde, Gernot
AU - Rowan, Kathryn
AU - Turner, Anne
AU - Young, Paul
AU - Derde, Lennie
AU - McArthur, Colin
AU - Webb, Steven A.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - 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: 1) randomization, allowing robust causal inference; 2) embedding of study procedures into routine care processes, facilitating enrollment, trial efficiency, and generalizability; 3) a multifactorial statistical model comparing multiple interventions across multiple patient subgroups; 4) response-adaptive randomization with preferential assignment to those interventions that appear most favorable; and 5) 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.
AB - 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: 1) randomization, allowing robust causal inference; 2) embedding of study procedures into routine care processes, facilitating enrollment, trial efficiency, and generalizability; 3) a multifactorial statistical model comparing multiple interventions across multiple patient subgroups; 4) response-adaptive randomization with preferential assignment to those interventions that appear most favorable; and 5) 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.
KW - Bayesian adaptive platform trial
KW - Community-acquired pneumonia
KW - Coronavirus disease 2019
KW - Master protocol
KW - Randomized clinical trial
UR - http://www.scopus.com/inward/record.url?scp=85087186298&partnerID=8YFLogxK
U2 - https://doi.org/10.1513/AnnalsATS.202003-192SD
DO - https://doi.org/10.1513/AnnalsATS.202003-192SD
M3 - Article
C2 - 32267771
SN - 2325-6621
VL - 17
SP - 879
EP - 891
JO - Annals of the American Thoracic Society
JF - Annals of the American Thoracic Society
IS - 7
ER -