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356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates
BACKGROUND: In 2023, the CLSI updated aminoglycoside breakpoints for P. aeruginosa and Enterobacterales. The anticipated decrease in aminoglycoside susceptibility rates resulting from these revised breakpoints will impact empiric antibiotic selection for nosocomial pneumonia. This study aims to eval...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678067/ http://dx.doi.org/10.1093/ofid/ofad500.427 |
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author | Wangchinda, Walaiporn Aitken, Samuel L Pierce, Virginia M Lephart, Paul Pogue, jason M |
author_facet | Wangchinda, Walaiporn Aitken, Samuel L Pierce, Virginia M Lephart, Paul Pogue, jason M |
author_sort | Wangchinda, Walaiporn |
collection | PubMed |
description | BACKGROUND: In 2023, the CLSI updated aminoglycoside breakpoints for P. aeruginosa and Enterobacterales. The anticipated decrease in aminoglycoside susceptibility rates resulting from these revised breakpoints will impact empiric antibiotic selection for nosocomial pneumonia. This study aims to evaluate the impact of the new breakpoints on the susceptibility rates of various combination antibiotic regimens for Gram-negative pneumonia at Michigan Medicine. METHODS: The susceptibility rates of single and combination antibiotic regimens were determined by applying the CLSI breakpoints to 221 non-duplicated, first Gram-negative respiratory isolates obtained from patients in the MICU and SICU of Michigan Medicine in 2021. Combination antibiograms were developed to compare susceptibility rates of various potential empiric regimens based on the 2022 vs. 2023 aminoglycoside breakpoints. Subgroup analyses for P. aeruginosa vs. non-P. aeruginosa were performed. RESULTS: Comparisons of unit-specific combination antibiograms against all Gram-negative respiratory isolates using 2022 vs. 2023 breakpoints are shown in Table 1. Based on the 2022 breakpoints, overall susceptibility rates for aminoglycosides were higher than those of anti-pseudomonal β-lactams. The addition of an aminoglycoside improved the susceptibility percentages of a β-lactam up to 23%, allowing similar activity with amikacin-based combination therapy to levofloxacin-based. In contrast, based on 2023 breakpoints, the susceptibility rates of amikacin and gentamicin dropped significantly (85.1 to 58.8% and 81.0 to 56.6%, respectively) and combination with these two agents did not provide additional benefit to the β-lactam backbone. The tobramycin susceptibility rate was minimally affected by the breakpoint changes (82.8% vs. 79.2%). Subgroup analyses demonstrated that the decrease in susceptibility percentages for aminoglycosides was largely driven by the breakpoint changes for P. aeruginosa (Table 1). [Figure: see text] CONCLUSION: The updated 2023 CLSI breakpoints resulted in a substantial decrease in the susceptibility percentages of amikacin and gentamicin which clinicians need to be aware of when choosing empiric antibiotic treatment. DISCLOSURES: Virginia M. Pierce, MD, FIDSA, UpToDate, Inc.: Authorship royalties jason M. Pogue, PharmD, AbbVie: Advisor/Consultant|Entasis: Advisor/Consultant|Ferring: Advisor/Consultant|GSK: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Qpex: Advisor/Consultant|Shionogi: Advisor/Consultant |
format | Online Article Text |
id | pubmed-10678067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106780672023-11-27 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates Wangchinda, Walaiporn Aitken, Samuel L Pierce, Virginia M Lephart, Paul Pogue, jason M Open Forum Infect Dis Abstract BACKGROUND: In 2023, the CLSI updated aminoglycoside breakpoints for P. aeruginosa and Enterobacterales. The anticipated decrease in aminoglycoside susceptibility rates resulting from these revised breakpoints will impact empiric antibiotic selection for nosocomial pneumonia. This study aims to evaluate the impact of the new breakpoints on the susceptibility rates of various combination antibiotic regimens for Gram-negative pneumonia at Michigan Medicine. METHODS: The susceptibility rates of single and combination antibiotic regimens were determined by applying the CLSI breakpoints to 221 non-duplicated, first Gram-negative respiratory isolates obtained from patients in the MICU and SICU of Michigan Medicine in 2021. Combination antibiograms were developed to compare susceptibility rates of various potential empiric regimens based on the 2022 vs. 2023 aminoglycoside breakpoints. Subgroup analyses for P. aeruginosa vs. non-P. aeruginosa were performed. RESULTS: Comparisons of unit-specific combination antibiograms against all Gram-negative respiratory isolates using 2022 vs. 2023 breakpoints are shown in Table 1. Based on the 2022 breakpoints, overall susceptibility rates for aminoglycosides were higher than those of anti-pseudomonal β-lactams. The addition of an aminoglycoside improved the susceptibility percentages of a β-lactam up to 23%, allowing similar activity with amikacin-based combination therapy to levofloxacin-based. In contrast, based on 2023 breakpoints, the susceptibility rates of amikacin and gentamicin dropped significantly (85.1 to 58.8% and 81.0 to 56.6%, respectively) and combination with these two agents did not provide additional benefit to the β-lactam backbone. The tobramycin susceptibility rate was minimally affected by the breakpoint changes (82.8% vs. 79.2%). Subgroup analyses demonstrated that the decrease in susceptibility percentages for aminoglycosides was largely driven by the breakpoint changes for P. aeruginosa (Table 1). [Figure: see text] CONCLUSION: The updated 2023 CLSI breakpoints resulted in a substantial decrease in the susceptibility percentages of amikacin and gentamicin which clinicians need to be aware of when choosing empiric antibiotic treatment. DISCLOSURES: Virginia M. Pierce, MD, FIDSA, UpToDate, Inc.: Authorship royalties jason M. Pogue, PharmD, AbbVie: Advisor/Consultant|Entasis: Advisor/Consultant|Ferring: Advisor/Consultant|GSK: Advisor/Consultant|Merck: Advisor/Consultant|Merck: Grant/Research Support|Qpex: Advisor/Consultant|Shionogi: Advisor/Consultant Oxford University Press 2023-11-27 /pmc/articles/PMC10678067/ http://dx.doi.org/10.1093/ofid/ofad500.427 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Wangchinda, Walaiporn Aitken, Samuel L Pierce, Virginia M Lephart, Paul Pogue, jason M 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates |
title | 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates |
title_full | 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates |
title_fullStr | 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates |
title_full_unstemmed | 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates |
title_short | 356. Impact of CLSI Breakpoint Changes on Unit-Specific Combination Antibiograms for Gram-Negative Respiratory Isolates |
title_sort | 356. impact of clsi breakpoint changes on unit-specific combination antibiograms for gram-negative respiratory isolates |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678067/ http://dx.doi.org/10.1093/ofid/ofad500.427 |
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