TY - JOUR
T1 - Optimizing the Design and Analysis of Clinical Trials for Antibacterials against Multidrug-resistant Organisms
T2 - A white paper from Combacte's STaT-net
AU - De Kraker, Marlieke E.A.
AU - Sommer, Harriet
AU - De Velde, Femke
AU - Gravestock, Isaac
AU - Weiss, Emmanuel
AU - McAleenan, Alexandra
AU - Nikolakopoulos, Stavros
AU - Amit, Ohad
AU - Ashton, Teri
AU - Beyersmann, Jan
AU - Held, Leonhard
AU - Lovering, Andrew M.
AU - MacGowan, Alasdair P.
AU - Mouton, Johan W.
AU - Timsit, Jean François
AU - Wilson, David
AU - Wolkewitz, Martin
AU - Bettiol, Esther
AU - Dane, Aaron
AU - Harbarth, Stephan
N1 - Funding Information:
Financial support. This work was supported by the IMI Joint Undertaking (JU) (grant 115523), Combatting Bacterial Resistance in Europe, with resources including financial contribution from the EU’s Seventh Framework Programme and in-kind contributions from companies in the European Federation of Pharmaceutical Industries and Associations (EFPIA), and by the German Research Foundation (Deutsche Forschungsgemeinschaft) (grant WO 1746/1–2 to M. W.). O. A., T. A., D. W., and A. D. (formerly) work(ed) for an EFPIA member company in the IMI JU, and costs related to their part in the research were carried by the respective company as in-kind contribution under the IMI JU arrangement. Potential conflicts of interest. H. S. is now an employee of Roche Pharma AG. O. A. and T. A. are employees of GlaxoSmithKline. A. P. M. has received funding from Merck Pharmaceuticals, Achaogen Pharmaceuticals, Paratek, VenatoRx, and Bayer Healthcare. J. M. has received funding from Adenium, AstraZeneca, Basilea, Cubist, Polyphor, Roche, Eumedica, Venatorx, Aicuris, and Wockhardt. J. F. T. has received funding and personal fees from 3M. D. W. is a shareholder and a former employee of AstraZeneca. A. D. has worked as a consultant for Achaogen, Allecra, Cidara, ContraFect, Davolterra, F2G, Geom, GSK, Nabriva, Phico, Roche, Spero, TenNor, VenatoRx, and Zavante. S. H. has received personal fees from Sandoz, DNA Electronics, Bayer, and Takeda and has received grants from Pfizer. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.
Funding Information:
This work was supported by the IMI Joint Undertaking (JU) (grant 115523), Combatting Bacterial Resistance in Europe, with resources including financial contribution from the EU's Seventh Framework Programme and in-kind contributions from companies in the European Federation of Pharmaceutical Industries and Associations (EFPIA), and by the German Research Foundation (Deutsche Forschungsgemeinschaft) (grant WO 1746/1-2 to M. W.). O. A., T. A., D. W., and A. D. (formerly) work(ed) for an EFPIA member company in the IMI JU, and costs related to their part in the research were carried by the respective company as in-kind contribution under the IMI JU arrangement.
Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. 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 [email protected]
PY - 2018/12/15
Y1 - 2018/12/15
N2 - 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.
AB - 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.
KW - Antibacterial drug development
KW - Clinical trial design
KW - Multidrug-resistant organisms
KW - Novel biostatistical methods
KW - Randomized clinical trials
UR - http://www.scopus.com/inward/record.url?scp=85057551975&partnerID=8YFLogxK
U2 - 10.1093/cid/ciy516
DO - 10.1093/cid/ciy516
M3 - Article
C2 - 30107400
AN - SCOPUS:85057551975
SN - 1058-4838
VL - 67
SP - 1922
EP - 1931
JO - Clinical Infectious Diseases
JF - Clinical Infectious Diseases
IS - 12
ER -