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. 2023 Oct 16;77(Suppl 4):S321-S330.
doi: 10.1093/cid/ciad538.

The Future Ain't What It Used to Be…Out With the Old…In With the Better: Antibacterial Resistance Leadership Group Innovations

Collaborators, Affiliations

The Future Ain't What It Used to Be…Out With the Old…In With the Better: Antibacterial Resistance Leadership Group Innovations

Scott R Evans et al. Clin Infect Dis. .

Abstract

Clinical research networks conduct important studies that would not otherwise be performed by other entities. In the case of the Antibacterial Resistance Leadership Group (ARLG), such studies include diagnostic studies using master protocols, controlled phage intervention trials, and studies that evaluate treatment strategies or dynamic interventions, such as sequences of empiric and definitive therapies. However, the value of a clinical research network lies not only in the results from these important studies but in the creation of new approaches derived from collaborative thinking, carefully examining and defining the most important research questions for clinical practice, recognizing and addressing common but suboptimal approaches, and anticipating that the standard approaches of today may be insufficient for tomorrow. This results in the development and implementation of new methodologies and tools for the design, conduct, analyses, and reporting of research studies. These new methodologies directly impact the studies conducted within the network and have a broad and long-lasting impact on the field, enhancing the scientific value and efficiency of generations of research studies. This article describes innovations from the ARLG in diagnostic studies, observational studies, and clinical trials evaluating interventions for the prevention and treatment of antibiotic-resistant bacterial infections.

Keywords: BED-FRAME; DOOR; DOOR MAT; MASTERMIND; SMART COMPASS.

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Conflict of interest statement

Potential conflicts of interest. All authors report funding support from the Antibacterial Resistance Leadership Group (ARLG) of the National Institutes of Health (NIH) and the National Institute of Allergy and Infectious Diseases (NIAID) (grant number UM1AI104681). S. R. E. reports grants from the NIAID and the NIH and Degruter (Editor-in-Chief for Statistical Communications in Infectious Diseases); royalties from Taylor & Francis; consulting fees from Genentech, AstraZeneca, Takeda, Microbiotix, Johnson & Johnson, Endologix, ChemoCentryx, Becton Dickinson, Atricure, Roviant, Neovasc, Nobel Pharma, Horizon, International Drug Development Institute, Medtronic, Regeneron, Wake Forest University, Recor, Janssen, IDDI, and SVB Leerink; payments from Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION); meeting support from the US Food and Drug Administration, Deming Conference on Applied Statistics, Clinical Trial Transformation Initiative, Council for International Organizations of Medical Sciences, International Chinese Statistical Association Applied Statistics Symposium, and Antimicrobial Resistance and Stewardship Conference; and board member participation for the NIH, Breast International Group, Washington University, University of Pennsylvania, Duke University, Roche, Pfizer, Takeda, Akouos, Apellis, Teva, Vir, DayOneBio, Alexion, Tracon, Rakuten, Abbvie, GSK, Eli Lilly, Nuvelution, Clover, FHI Clinical, Lung Biotech, SAB Biopharm, Advantagene, Candel, Novartis, American Statistical Association, Society for Clinical Trials, and Frontier Science Foundation. R. P. reports grants or contracts from ContraFect, TenNor Therapeutics Limited, BIOFIRE, and Adaptive Phage Therapeutics; a royalty-bearing know-how agreement and equity in Adaptive Phage Therapeutics through the Mayo Clinic; consulting fees from PhAST, Torus Biosystems, Day Zero Diagnostics, Mammoth Biosciences, HealthTrackRx, Netflix, Abbott Laboratories, Trellis Bioscience, Inc, Oxford Nanopore Technologies, and CARB-X; honoraria from the National Board of Medical Examiners, Up-to-Date, and the Infectious Diseases Board Review Course; a patent on Bordetella pertussis/parapertussis polymerase chain reaction (PCR) issued, a patent on a device/method for sonication with royalties paid by Samsung to Mayo Clinic, and a patent on an anti-biofilm substance issued; and a financial relationship with Pathogenomix through the Mayo Clinic. T. H. reports consulting fees from Tanabe-Mitsubishi Pharma and honoraria from Duke University and Cancer and Chemo Therapy. J. H.-A. reports funding from the Centers for Disease Control and Prevention unrelated to the report reported in this manuscript, honoraria from the Infectious Diseases Society of America, and travel and meeting support from the Society for Healthcare Epidemiology of America (SHEA) and the ARLG. D. C. reports personal consulting fees from AstraZeneca, Incyte, Apellis Pharmaceuticals, Inc, Kinnate Biopharma, Maxis Health, Parexel, and Health Literacy Media (nonprofit); travel and meeting support from M2GEN and the American Society of Clinical Oncology; participation on a Data and Safety Monitoring Board (DSMB) for the American Society of Clinical Oncology; and leadership in the Metastatic Breast Cancer Alliance. H. C. reports salary support from the ARLG via Duke University. H. F. C. reports royalties from the Sanford Guide to Antimicrobial Therapy, payment for expert testimony from Nexus Pharmaceuticals, participation on a Merck DSMB for molnupiravir, and stock ownership in Moderna and Merck. V. G. F. reports personal consulting fees from Novartis, Debiopharm, Genentech, Achaogen, Affinium, Medicines Co, MedImmune, Bayer, Basilea, Affinergy, Janssen, Contrafect, Regeneron, Destiny, Amphliphi Biosciences, Integrated Biotherapeutics, C3J, Armata, Valanbio, Akagera, Aridis, Roche, and Pfizer (paid to the author); grants from the NIH, MedImmune, Allergan, Pfizer, Advanced Liquid Logics, Theravance, Novartis, Merck, Medical Biosurfaces, Locus, Affinergy, Contrafect, Karius, Genentech, Regeneron, Deep Blue, Basilea, and Janssen; royalties from UpToDate; stock options from Valanbio and ArcBio; honoraria from the Infectious Diseases Society of America for his service as Associate Editor of Clinical Infectious Diseases; travel support from Contrafect to the 2019 European Society of Clinical Microbiology and Infectious Diseases (ECCMID); and a sepsis diagnostics patent pending. H. B. reports royalties from the Sanford Guide; consulting fees from the Sanford Guide, Antimicrobial Agents and Chemotherapy/ASM, and ID Clinics of North America/Elsevier; honoraria for Grand Rounds at Temple University; travel and meeting support for an IDWeek Lecture; and membership as a voting member on the Presidential Advisory Council on Combating Antibiotic-Resistant Bacteria (PACCARB) and membership on the Board of Trustees at the College of the Holy Cross. H. K. reports funding awarded to her institution(s) from the Durham Center of Innovation to Accelerate Discovery and PracticeTransformation (CIN 13-410) at the Durham Veterans Affairs Health Care System, NIH, and Merck, Sharp & Dohme LLC, a subsidiary of Merck & Co, Inc, Rahway, NJ, USA. They also report serving on the editorial board for the Journal of Antimicrobial Chemotherapy- Antimicrobial Resistance (JAC-AMR). T. K. reports 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.

Figures

Figure 1.
Figure 1.
Schema for a SMART COMPASS comparing 4 strategies. A patient is initially randomized to empiric therapy A or B. For definitive therapy, if AST indicates susceptibility to empiric therapy then they remain on the empiric therapy. If AST indicates resistance, then there are therapeutic adjustments and the patient is randomized a second time to empiric therapy options. Four strategies are compared. Begin with empiric therapy A. If susceptible, then remain on A. If resistant, then change to C. Begin with empiric therapy A. If susceptible, then remain on A. If resistant, then change to D. Begin with empiric therapy B. If susceptible, then remain on B. If resistant, then change to E. Begin with empiric therapy B. If susceptible, then remain on B. If resistant, then change to F. The design is efficient in that some patients contribute information to more than 1 strategy. There are 4 strategies but 6 paths. Patients on the same strategy can receive different treatments depending on AST results. Abbreviations: AST, antimicrobial susceptibility testing; BSI, bloodstream infection; LRTI, lower respiratory tract infection; R, Randomization; SMART COMPASS, Sequential, Multiple-Assignment, Randomized Trials for Comparing Personalized Antibiotic Strategies.
Figure 2.
Figure 2.
DOOR infographic [10]. Credit: Kim Best and Kerry Stenke, Duke Clinical Research Institute. Figure used with permission. Abbreviation: DOOR, Desirability of Outcome Ranking.
Figure 3.
Figure 3.
Example output from BED-FRAME analyses. Output from the R shiny app displaying contours of the between-platform difference (molecular beacons [MB] vs polymerase chain reaction/electrospray ionization mass spectrometry [PCR/ESI-MS]) in weighted accuracy (ie, overall percentage correctly classified, adjusted for the relative importance of a false-resistant test result relative to a false-susceptible test result) for various combinations of relative importance and imipenem susceptibility rates. Gray indicates combinations of relative importance and imipenem susceptibility rates for which MB would provide superior results. Yellow indicates combinations of relative importance and imipenem susceptibility rates for which PCR/ESI-MS would provide superior results. Black indicates the border where accuracy is equivalent. A point is shown for a resistance rate = 0.25 and relative importance = 0.25 (a false-resistant test result, which would result in avoidance of treatment with a covering drug, is 25% as important as a false-susceptible test result, which would result in treatment with a non-covering drug) where there is a weighted accuracy advantage of 5.9% for PCR/ESI-MS. Abbreviations: BED-FRAME, Benefit–Risk Evaluation of Diagnostics: A Framework; WA, weighted accuracy.
Figure 4.
Figure 4.
Schematic for DOOR MAT. Red indicates selection of an antibiotic for which the target infection is deemed resistant (most undesirable). Green indicates selection of an antibiotic from the narrowest spectrum for which the target infection is deemed susceptible (most desirable). The shade of gray indicates selection of an antibiotic from spectrums for which the target infection is deemed susceptible but not the narrowest. Lighter shades of gray indicate more desirability—that is, closer to the most-desirable narrowest spectrum for which the target infection is deemed susceptible. Abbreviations: AST, antimicrobial susceptibility testing; DOOR MAT, Desirability of Outcome Ranking for the Management of Antimicrobial Therapy, R, Resistant; S, Susceptible.

References

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