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The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design
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 featur...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Thoracic Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328186/ https://www.ncbi.nlm.nih.gov/pubmed/32267771 http://dx.doi.org/10.1513/AnnalsATS.202003-192SD |
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author | Angus, Derek C. Berry, Scott Lewis, Roger J. Al-Beidh, Farah Arabi, Yaseen van Bentum-Puijk, Wilma Bhimani, Zahra Bonten, Marc Broglio, Kristine Brunkhorst, Frank Cheng, Allen C. Chiche, Jean-Daniel De Jong, Menno Detry, Michelle Goossens, Herman Gordon, Anthony Green, Cameron Higgins, Alisa M. Hullegie, Sebastiaan J. Kruger, Peter Lamontagne, Francois Litton, Edward Marshall, John McGlothlin, Anna McGuinness, Shay Mouncey, Paul Murthy, Srinivas Nichol, Alistair O’Neill, Genevieve K. Parke, Rachael Parker, Jane Rohde, Gernot Rowan, Kathryn Turner, Anne Young, Paul Derde, Lennie McArthur, Colin Webb, Steven A. |
author_facet | Angus, Derek C. Berry, Scott Lewis, Roger J. Al-Beidh, Farah Arabi, Yaseen van Bentum-Puijk, Wilma Bhimani, Zahra Bonten, Marc Broglio, Kristine Brunkhorst, Frank Cheng, Allen C. Chiche, Jean-Daniel De Jong, Menno Detry, Michelle Goossens, Herman Gordon, Anthony Green, Cameron Higgins, Alisa M. Hullegie, Sebastiaan J. Kruger, Peter Lamontagne, Francois Litton, Edward Marshall, John McGlothlin, Anna McGuinness, Shay Mouncey, Paul Murthy, Srinivas Nichol, Alistair O’Neill, Genevieve K. Parke, Rachael Parker, Jane Rohde, Gernot Rowan, Kathryn Turner, Anne Young, Paul Derde, Lennie McArthur, Colin Webb, Steven A. |
author_sort | Angus, Derek C. |
collection | PubMed |
description | 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. Clinical trial registered with www.clinicaltrials.gov (NCT02735707). |
format | Online Article Text |
id | pubmed-7328186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Thoracic Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73281862020-07-01 The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design Angus, Derek C. Berry, Scott Lewis, Roger J. Al-Beidh, Farah Arabi, Yaseen van Bentum-Puijk, Wilma Bhimani, Zahra Bonten, Marc Broglio, Kristine Brunkhorst, Frank Cheng, Allen C. Chiche, Jean-Daniel De Jong, Menno Detry, Michelle Goossens, Herman Gordon, Anthony Green, Cameron Higgins, Alisa M. Hullegie, Sebastiaan J. Kruger, Peter Lamontagne, Francois Litton, Edward Marshall, John McGlothlin, Anna McGuinness, Shay Mouncey, Paul Murthy, Srinivas Nichol, Alistair O’Neill, Genevieve K. Parke, Rachael Parker, Jane Rohde, Gernot Rowan, Kathryn Turner, Anne Young, Paul Derde, Lennie McArthur, Colin Webb, Steven A. Ann Am Thorac Soc Clinical Study Design 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. Clinical trial registered with www.clinicaltrials.gov (NCT02735707). American Thoracic Society 2020-07 /pmc/articles/PMC7328186/ /pubmed/32267771 http://dx.doi.org/10.1513/AnnalsATS.202003-192SD Text en Copyright © 2020 by the American Thoracic Society http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/). For commercial usage and reprints, please contact Diane Gern (dgern@thoracic.org). |
spellingShingle | Clinical Study Design Angus, Derek C. Berry, Scott Lewis, Roger J. Al-Beidh, Farah Arabi, Yaseen van Bentum-Puijk, Wilma Bhimani, Zahra Bonten, Marc Broglio, Kristine Brunkhorst, Frank Cheng, Allen C. Chiche, Jean-Daniel De Jong, Menno Detry, Michelle Goossens, Herman Gordon, Anthony Green, Cameron Higgins, Alisa M. Hullegie, Sebastiaan J. Kruger, Peter Lamontagne, Francois Litton, Edward Marshall, John McGlothlin, Anna McGuinness, Shay Mouncey, Paul Murthy, Srinivas Nichol, Alistair O’Neill, Genevieve K. Parke, Rachael Parker, Jane Rohde, Gernot Rowan, Kathryn Turner, Anne Young, Paul Derde, Lennie McArthur, Colin Webb, Steven A. The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design |
title | The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design |
title_full | The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design |
title_fullStr | The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design |
title_full_unstemmed | The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design |
title_short | The REMAP-CAP (Randomized Embedded Multifactorial Adaptive Platform for Community-acquired Pneumonia) Study. Rationale and Design |
title_sort | remap-cap (randomized embedded multifactorial adaptive platform for community-acquired pneumonia) study. rationale and design |
topic | Clinical Study Design |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328186/ https://www.ncbi.nlm.nih.gov/pubmed/32267771 http://dx.doi.org/10.1513/AnnalsATS.202003-192SD |
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