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1253. Optimization of empiric gram-negative infections with the combination antibiogram

BACKGROUND: Anti-pseudomonal beta-lactam drugs such as aztreonam (AZR), cefepime (CEF), piperacillin-tazobactam (P/T), meropenem (MER) are drugs used for empiric gram-negative (GN) infections. They are used with other drugs as empiric combination therapy (CT) for patients with sepsis. The antibiogra...

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Autores principales: Leung, Anthony K, Harrington, Susan, Dumford, Donald, Shrestha, Kasturi, Mistry, Bhavin, wong, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677053/
http://dx.doi.org/10.1093/ofid/ofad500.1093
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author Leung, Anthony K
Harrington, Susan
Dumford, Donald
Shrestha, Kasturi
Mistry, Bhavin
wong, Ken
author_facet Leung, Anthony K
Harrington, Susan
Dumford, Donald
Shrestha, Kasturi
Mistry, Bhavin
wong, Ken
author_sort Leung, Anthony K
collection PubMed
description BACKGROUND: Anti-pseudomonal beta-lactam drugs such as aztreonam (AZR), cefepime (CEF), piperacillin-tazobactam (P/T), meropenem (MER) are drugs used for empiric gram-negative (GN) infections. They are used with other drugs as empiric combination therapy (CT) for patients with sepsis. The antibiogram is used to provide data for empiric therapy and gauge susceptibility pattern shifts over time. Combining different classes of drugs might enhance the susceptibility to various pathogens. This project assessed which empiric combination of drugs will yield optimal coverage for various GN pathogens from different sources. METHODS: In 2022 antimicrobial susceptibility data from 8288 isolates from blood, respiratory, wound and urine sources were collected and analyzed. Percent susceptibility was calculated for 11 gram-negative species with >30 isolates. Susceptibility testing was done by BD Phoenix™ automated identification and susceptibility testing system. A threshold of >90% susceptibility was used to indicate optimal coverage for the antimicrobial agents. CT is calculated as the % susceptible to either of two antibiotics. RESULTS: In respiratory sources AZR, CEF and P/T were the lowest at 73%, 83% and 77% susceptible. MER had the best overall coverage for all specimen types. Adding either an aminoglycoside (AG) or fluoroquinolone (FQ) increased susceptibility in all sources. AGs had a slightly better coverage than FQs. For blood isolates > 90% susceptibility was attained for single antibiotics without combination. CT was often required to achieve optimal coverage for respiratory sources, specifically for Pseudomonas, Enterobacter, E coli, Klebsiella and Proteus species. [Figure: see text] CONCLUSION: Using > 90% susceptibility as cut-off, monotherapy AZR and P/T are suboptimal for empiric coverage for certain GN respiratory infections. Blood specimens may not require CT. Adding either AGs or FQs enhanced susceptibility coverage to all tested pathogens but not uniformly. AGs enhancement was slightly better than FQs. Respiratory infections with Pseudomonas, Enterobacter cloacae, E coli, Proteus and Klebsiella species all showed enhanced coverage with CT especially for P/T and AZR. Every hospital should create a combination antibiogram to gain insight into whether empiric coverage with CT is needed. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-106770532023-11-27 1253. Optimization of empiric gram-negative infections with the combination antibiogram Leung, Anthony K Harrington, Susan Dumford, Donald Shrestha, Kasturi Mistry, Bhavin wong, Ken Open Forum Infect Dis Abstract BACKGROUND: Anti-pseudomonal beta-lactam drugs such as aztreonam (AZR), cefepime (CEF), piperacillin-tazobactam (P/T), meropenem (MER) are drugs used for empiric gram-negative (GN) infections. They are used with other drugs as empiric combination therapy (CT) for patients with sepsis. The antibiogram is used to provide data for empiric therapy and gauge susceptibility pattern shifts over time. Combining different classes of drugs might enhance the susceptibility to various pathogens. This project assessed which empiric combination of drugs will yield optimal coverage for various GN pathogens from different sources. METHODS: In 2022 antimicrobial susceptibility data from 8288 isolates from blood, respiratory, wound and urine sources were collected and analyzed. Percent susceptibility was calculated for 11 gram-negative species with >30 isolates. Susceptibility testing was done by BD Phoenix™ automated identification and susceptibility testing system. A threshold of >90% susceptibility was used to indicate optimal coverage for the antimicrobial agents. CT is calculated as the % susceptible to either of two antibiotics. RESULTS: In respiratory sources AZR, CEF and P/T were the lowest at 73%, 83% and 77% susceptible. MER had the best overall coverage for all specimen types. Adding either an aminoglycoside (AG) or fluoroquinolone (FQ) increased susceptibility in all sources. AGs had a slightly better coverage than FQs. For blood isolates > 90% susceptibility was attained for single antibiotics without combination. CT was often required to achieve optimal coverage for respiratory sources, specifically for Pseudomonas, Enterobacter, E coli, Klebsiella and Proteus species. [Figure: see text] CONCLUSION: Using > 90% susceptibility as cut-off, monotherapy AZR and P/T are suboptimal for empiric coverage for certain GN respiratory infections. Blood specimens may not require CT. Adding either AGs or FQs enhanced susceptibility coverage to all tested pathogens but not uniformly. AGs enhancement was slightly better than FQs. Respiratory infections with Pseudomonas, Enterobacter cloacae, E coli, Proteus and Klebsiella species all showed enhanced coverage with CT especially for P/T and AZR. Every hospital should create a combination antibiogram to gain insight into whether empiric coverage with CT is needed. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10677053/ http://dx.doi.org/10.1093/ofid/ofad500.1093 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
Leung, Anthony K
Harrington, Susan
Dumford, Donald
Shrestha, Kasturi
Mistry, Bhavin
wong, Ken
1253. Optimization of empiric gram-negative infections with the combination antibiogram
title 1253. Optimization of empiric gram-negative infections with the combination antibiogram
title_full 1253. Optimization of empiric gram-negative infections with the combination antibiogram
title_fullStr 1253. Optimization of empiric gram-negative infections with the combination antibiogram
title_full_unstemmed 1253. Optimization of empiric gram-negative infections with the combination antibiogram
title_short 1253. Optimization of empiric gram-negative infections with the combination antibiogram
title_sort 1253. optimization of empiric gram-negative infections with the combination antibiogram
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677053/
http://dx.doi.org/10.1093/ofid/ofad500.1093
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