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Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net
Innovations are urgently required for clinical development of antibacterials against multidrug-resistant organisms. Therefore, a European, public-private working group (STAT-Net; part of Combatting Bacterial Resistance in Europe [COMBACTE]), has reviewed and tested several innovative trials designs...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260160/ https://www.ncbi.nlm.nih.gov/pubmed/30107400 http://dx.doi.org/10.1093/cid/ciy516 |
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author | de Kraker, Marlieke E A Sommer, Harriet de Velde, Femke Gravestock, Isaac Weiss, Emmanuel McAleenan, Alexandra Nikolakopoulos, Stavros Amit, Ohad Ashton, Teri Beyersmann, Jan Held, Leonhard Lovering, Andrew M MacGowan, Alasdair P Mouton, Johan W Timsit, Jean-François Wilson, David Wolkewitz, Martin Bettiol, Esther Dane, Aaron Harbarth, Stephan |
author_facet | de Kraker, Marlieke E A Sommer, Harriet de Velde, Femke Gravestock, Isaac Weiss, Emmanuel McAleenan, Alexandra Nikolakopoulos, Stavros Amit, Ohad Ashton, Teri Beyersmann, Jan Held, Leonhard Lovering, Andrew M MacGowan, Alasdair P Mouton, Johan W Timsit, Jean-François Wilson, David Wolkewitz, Martin Bettiol, Esther Dane, Aaron Harbarth, Stephan |
author_sort | de Kraker, Marlieke E A |
collection | PubMed |
description | Innovations are urgently required for clinical development of antibacterials against multidrug-resistant organisms. Therefore, a European, public-private working group (STAT-Net; part of Combatting Bacterial Resistance in Europe [COMBACTE]), has reviewed and tested several innovative trials designs and analytical methods for randomized clinical trials, which has resulted in 8 recommendations. The first 3 focus on pharmacokinetic and pharmacodynamic modeling, emphasizing the pertinence of population-based pharmacokinetic models, regulatory procedures for the reassessment of old antibiotics, and rigorous quality improvement. Recommendations 4 and 5 address the need for more sensitive primary end points through the use of rank-based or time-dependent composite end points. Recommendation 6 relates to the applicability of hierarchical nested-trial designs, and the last 2 recommendations propose the incorporation of historical or concomitant trial data through Bayesian methods and/or platform trials. Although not all of these recommendations are directly applicable, they provide a solid, evidence-based approach to develop new, and established, antibacterials and address this public health challenge. |
format | Online Article Text |
id | pubmed-6260160 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62601602018-12-04 Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net de Kraker, Marlieke E A Sommer, Harriet de Velde, Femke Gravestock, Isaac Weiss, Emmanuel McAleenan, Alexandra Nikolakopoulos, Stavros Amit, Ohad Ashton, Teri Beyersmann, Jan Held, Leonhard Lovering, Andrew M MacGowan, Alasdair P Mouton, Johan W Timsit, Jean-François Wilson, David Wolkewitz, Martin Bettiol, Esther Dane, Aaron Harbarth, Stephan Clin Infect Dis Viewpoints Innovations are urgently required for clinical development of antibacterials against multidrug-resistant organisms. Therefore, a European, public-private working group (STAT-Net; part of Combatting Bacterial Resistance in Europe [COMBACTE]), has reviewed and tested several innovative trials designs and analytical methods for randomized clinical trials, which has resulted in 8 recommendations. The first 3 focus on pharmacokinetic and pharmacodynamic modeling, emphasizing the pertinence of population-based pharmacokinetic models, regulatory procedures for the reassessment of old antibiotics, and rigorous quality improvement. Recommendations 4 and 5 address the need for more sensitive primary end points through the use of rank-based or time-dependent composite end points. Recommendation 6 relates to the applicability of hierarchical nested-trial designs, and the last 2 recommendations propose the incorporation of historical or concomitant trial data through Bayesian methods and/or platform trials. Although not all of these recommendations are directly applicable, they provide a solid, evidence-based approach to develop new, and established, antibacterials and address this public health challenge. Oxford University Press 2018-12-15 2018-08-13 /pmc/articles/PMC6260160/ /pubmed/30107400 http://dx.doi.org/10.1093/cid/ciy516 Text en © The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Viewpoints de Kraker, Marlieke E A Sommer, Harriet de Velde, Femke Gravestock, Isaac Weiss, Emmanuel McAleenan, Alexandra Nikolakopoulos, Stavros Amit, Ohad Ashton, Teri Beyersmann, Jan Held, Leonhard Lovering, Andrew M MacGowan, Alasdair P Mouton, Johan W Timsit, Jean-François Wilson, David Wolkewitz, Martin Bettiol, Esther Dane, Aaron Harbarth, Stephan Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net |
title | Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net |
title_full | Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net |
title_fullStr | Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net |
title_full_unstemmed | Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net |
title_short | Optimizing the Design and Analysis of Clinical Trials for Antibacterials Against Multidrug-resistant Organisms: A White Paper From COMBACTE’s STAT-Net |
title_sort | optimizing the design and analysis of clinical trials for antibacterials against multidrug-resistant organisms: a white paper from combacte’s stat-net |
topic | Viewpoints |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6260160/ https://www.ncbi.nlm.nih.gov/pubmed/30107400 http://dx.doi.org/10.1093/cid/ciy516 |
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