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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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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