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1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens

BACKGROUND: Combinations of two or more antimicrobial agents are frequently used in empiric therapy regimens to ensure at least one agent demonstrates activity against suspected pathogens. A combination antibiogram can assess the increase in empiric coverage of a particular combination vs. either of...

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Autores principales: Klinker, Kenneth, Cherabuddi, Kartikeya, Redell, Mark, Balogh, Matthew, Massey, Jill, Dudley, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252466/
http://dx.doi.org/10.1093/ofid/ofy210.1014
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author Klinker, Kenneth
Cherabuddi, Kartikeya
Redell, Mark
Balogh, Matthew
Massey, Jill
Dudley, Michael
author_facet Klinker, Kenneth
Cherabuddi, Kartikeya
Redell, Mark
Balogh, Matthew
Massey, Jill
Dudley, Michael
author_sort Klinker, Kenneth
collection PubMed
description BACKGROUND: Combinations of two or more antimicrobial agents are frequently used in empiric therapy regimens to ensure at least one agent demonstrates activity against suspected pathogens. A combination antibiogram can assess the increase in empiric coverage of a particular combination vs. either of the agents alone (i.e., percent gain). These data could assist in developing empiric regimens that may be particularly useful in settings with problematic multidrug-resistant Gram-negative pathogens. METHODS: An Excel-based model to construct combination antibiograms was developed to assist clinicians in evaluating institutional susceptibility data. The University of Florida Health Shands Hospital microbiology laboratory supplied susceptibility data for ceftriaxone (CFX), cefepime (CEF), ciprofloxacin (CIP), and amikacin (AMI) to assess % gain achieved with combinations for E. coli all blood isolates (n = 206) and blood isolates with an ESBL phenotype (n = 35). The same laboratory provided susceptibility data for CEF, piperacillin–tazobactam (PTZ), AMI and CIP for P. aeruginosa (all, n = 250; carbapenem-resistant (CARB-R), n = 30). RESULTS: Percent gains achieved by adding AMI or CIP to CFX and CEF to capture at least one agent exhibiting in vitro susceptibility against all blood E. coli were calculated: CFX-AMI, 16%; CFTX-CIP, 3%; CEF-AMI, 10%; CEF-CIP, 1%. The percentage gain specific to E. coli blood isolates with an ESBL phenotype ranged from 9% to 86%. The combination with the greatest percent loss against blood E. coli isolates, comparing all blood isolates to those with an ESBL phenotype, was CFX-CIP (∆-66%). Percentage gain achieved against all isolates of Pa by adding AMI or CIP to PTZ and CEF were CEF-AMI, 8%; CEF-CIP, 5%; PTZ-AMI, 15%; PTZ-CIP, 9%; percent gain of the same combinations against P. aeruginosa CARB-R isolates were 23%, 10%, 47%, and 30%, respectively. Adding AMI to either β-lactam: PTZ % S increased from 47% to 77% (+CIP) and to 94% (+AMI); CEF % S increased from 60% S to 70% (+CIP) and to 83% (+AMI). CONCLUSION: Combination antibiogram models can assist clinicians in identifying regimens which may provide improved targeting of MDR phenotypes through calculation of percent gain. DISCLOSURES: K. Klinker, Melinta Therapeutics: Consultant, Speaker honorarium. Nabriva Therapeutics: Scientific Advisor, Consulting fee. M. Redell, Melinta Therapeutics, Inc.: Employee and Shareholder, Salary. M. Balogh, Melinta Therapeutics, Inc.: Employee and Shareholder, Salary. J. Massey, Melinta Therapeutics, Inc.: Employee and Shareholder, Salary. M. Dudley, The Medicines Company: Employee, Salary.
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spelling pubmed-62524662018-11-28 1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens Klinker, Kenneth Cherabuddi, Kartikeya Redell, Mark Balogh, Matthew Massey, Jill Dudley, Michael Open Forum Infect Dis Abstracts BACKGROUND: Combinations of two or more antimicrobial agents are frequently used in empiric therapy regimens to ensure at least one agent demonstrates activity against suspected pathogens. A combination antibiogram can assess the increase in empiric coverage of a particular combination vs. either of the agents alone (i.e., percent gain). These data could assist in developing empiric regimens that may be particularly useful in settings with problematic multidrug-resistant Gram-negative pathogens. METHODS: An Excel-based model to construct combination antibiograms was developed to assist clinicians in evaluating institutional susceptibility data. The University of Florida Health Shands Hospital microbiology laboratory supplied susceptibility data for ceftriaxone (CFX), cefepime (CEF), ciprofloxacin (CIP), and amikacin (AMI) to assess % gain achieved with combinations for E. coli all blood isolates (n = 206) and blood isolates with an ESBL phenotype (n = 35). The same laboratory provided susceptibility data for CEF, piperacillin–tazobactam (PTZ), AMI and CIP for P. aeruginosa (all, n = 250; carbapenem-resistant (CARB-R), n = 30). RESULTS: Percent gains achieved by adding AMI or CIP to CFX and CEF to capture at least one agent exhibiting in vitro susceptibility against all blood E. coli were calculated: CFX-AMI, 16%; CFTX-CIP, 3%; CEF-AMI, 10%; CEF-CIP, 1%. The percentage gain specific to E. coli blood isolates with an ESBL phenotype ranged from 9% to 86%. The combination with the greatest percent loss against blood E. coli isolates, comparing all blood isolates to those with an ESBL phenotype, was CFX-CIP (∆-66%). Percentage gain achieved against all isolates of Pa by adding AMI or CIP to PTZ and CEF were CEF-AMI, 8%; CEF-CIP, 5%; PTZ-AMI, 15%; PTZ-CIP, 9%; percent gain of the same combinations against P. aeruginosa CARB-R isolates were 23%, 10%, 47%, and 30%, respectively. Adding AMI to either β-lactam: PTZ % S increased from 47% to 77% (+CIP) and to 94% (+AMI); CEF % S increased from 60% S to 70% (+CIP) and to 83% (+AMI). CONCLUSION: Combination antibiogram models can assist clinicians in identifying regimens which may provide improved targeting of MDR phenotypes through calculation of percent gain. DISCLOSURES: K. Klinker, Melinta Therapeutics: Consultant, Speaker honorarium. Nabriva Therapeutics: Scientific Advisor, Consulting fee. M. Redell, Melinta Therapeutics, Inc.: Employee and Shareholder, Salary. M. Balogh, Melinta Therapeutics, Inc.: Employee and Shareholder, Salary. J. Massey, Melinta Therapeutics, Inc.: Employee and Shareholder, Salary. M. Dudley, The Medicines Company: Employee, Salary. Oxford University Press 2018-11-26 /pmc/articles/PMC6252466/ http://dx.doi.org/10.1093/ofid/ofy210.1014 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of 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 Abstracts
Klinker, Kenneth
Cherabuddi, Kartikeya
Redell, Mark
Balogh, Matthew
Massey, Jill
Dudley, Michael
1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens
title 1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens
title_full 1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens
title_fullStr 1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens
title_full_unstemmed 1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens
title_short 1181. Use of the Combination Antibiogram in the Era of MDR Gram-Negative Pathogens
title_sort 1181. use of the combination antibiogram in the era of mdr gram-negative pathogens
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6252466/
http://dx.doi.org/10.1093/ofid/ofy210.1014
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