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2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors

BACKGROUND: Antimicrobial susceptibility testing (AST) is the major driver in designing effective therapy. As multiple resistance determinants can demonstrate the same phenotype (e.g., inhibitor resistant [IR], extended spectrum [ES], and carbapenem hydrolyzing [CH] β-lactamases), critical informati...

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Autores principales: Hujer, Andrea, Long, Wesley, Olsen, Randall, Kreiswirth, Barry N, Evans, Scott R, Musser, James, Bonomo, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253107/
http://dx.doi.org/10.1093/ofid/ofy209.166
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author Hujer, Andrea
Long, Wesley
Olsen, Randall
Kreiswirth, Barry N
Evans, Scott R
Musser, James
Bonomo, Robert
author_facet Hujer, Andrea
Long, Wesley
Olsen, Randall
Kreiswirth, Barry N
Evans, Scott R
Musser, James
Bonomo, Robert
author_sort Hujer, Andrea
collection PubMed
description BACKGROUND: Antimicrobial susceptibility testing (AST) is the major driver in designing effective therapy. As multiple resistance determinants can demonstrate the same phenotype (e.g., inhibitor resistant [IR], extended spectrum [ES], and carbapenem hydrolyzing [CH] β-lactamases), critical information provided from AST for therapy, stewardship, and infection control is currently lacking. WGS provides more comprehensive genetic data, explaining phenotype, and provides insight into clonality. Efforts are in development that apply novel statistical methods (e.g., PRIMERS I-IV) and machine learning (Sci Reports, 2108, 8, 421) to interpret results accurately and anticipate AST. Using a collection of clinical strains that spanned a 3.5-year period, we tested how well the detection of problematic IR, ES, and CH bla resistance genes predicted phenotype. METHODS: Fourty-one isolates were chosen for AST from a collection of 1,777 WGS K. pneumoniae. Isolates chosen possessed the following β-lactamases: (9 isolates) NDM; (3) NDM and OXA-48; (5) KPC-8 or KPC-14; (24) with a very complex β-lactamase background (all possessed an inhibitor resistant TEM (IRT), SHV ESBL, +/− CTX-M, and/or +/− KPC). AST was performed using CLSI methods for piperacillin/tazobactam (PIP/TAZO), ceftazidime (CAZ), aztreonam (ATM), ceftazidime/avibactam (CAZ/AVI), CAZ/AVI/ATM, and ceftolozane/tazobactam (TOL/TAZO) by disk diffusion assay. RESULTS: Presented below. [Image: see text] CONCLUSION: In all cases, bla(NDM-1) and bla(NDM-1/OXA-48) containing isolates were resistant to CAZ/AVI; the addition of ATM fully restored susceptibility to CAZ/AVI. Surprisingly, clinical K. pneumoniae isolates bearing KPC-8 (V240G) and KPC-14 did not test fully resistant to CAZ/AVI, suggesting a more complex mechanism than the D179Y variant of KPC-3. Lastly, despite the complexity of the β-lactamase background, CAZ/AVI retained potency. Interestingly, TOL/TAZO maintained efficacy in these same complex backgrounds in the absence of NDM, KPC, and SHV-12. As previously shown in PRIMERS I-II, PIP/TAZO resistance was not observed in the majority of isolates as was predicted by the genotype. WGS in K. pneumoniae to predict AST results and potentially guide clinical decisions is improved for novel combinations like CAZ/AVI. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-62531072018-11-28 2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors Hujer, Andrea Long, Wesley Olsen, Randall Kreiswirth, Barry N Evans, Scott R Musser, James Bonomo, Robert Open Forum Infect Dis Abstracts BACKGROUND: Antimicrobial susceptibility testing (AST) is the major driver in designing effective therapy. As multiple resistance determinants can demonstrate the same phenotype (e.g., inhibitor resistant [IR], extended spectrum [ES], and carbapenem hydrolyzing [CH] β-lactamases), critical information provided from AST for therapy, stewardship, and infection control is currently lacking. WGS provides more comprehensive genetic data, explaining phenotype, and provides insight into clonality. Efforts are in development that apply novel statistical methods (e.g., PRIMERS I-IV) and machine learning (Sci Reports, 2108, 8, 421) to interpret results accurately and anticipate AST. Using a collection of clinical strains that spanned a 3.5-year period, we tested how well the detection of problematic IR, ES, and CH bla resistance genes predicted phenotype. METHODS: Fourty-one isolates were chosen for AST from a collection of 1,777 WGS K. pneumoniae. Isolates chosen possessed the following β-lactamases: (9 isolates) NDM; (3) NDM and OXA-48; (5) KPC-8 or KPC-14; (24) with a very complex β-lactamase background (all possessed an inhibitor resistant TEM (IRT), SHV ESBL, +/− CTX-M, and/or +/− KPC). AST was performed using CLSI methods for piperacillin/tazobactam (PIP/TAZO), ceftazidime (CAZ), aztreonam (ATM), ceftazidime/avibactam (CAZ/AVI), CAZ/AVI/ATM, and ceftolozane/tazobactam (TOL/TAZO) by disk diffusion assay. RESULTS: Presented below. [Image: see text] CONCLUSION: In all cases, bla(NDM-1) and bla(NDM-1/OXA-48) containing isolates were resistant to CAZ/AVI; the addition of ATM fully restored susceptibility to CAZ/AVI. Surprisingly, clinical K. pneumoniae isolates bearing KPC-8 (V240G) and KPC-14 did not test fully resistant to CAZ/AVI, suggesting a more complex mechanism than the D179Y variant of KPC-3. Lastly, despite the complexity of the β-lactamase background, CAZ/AVI retained potency. Interestingly, TOL/TAZO maintained efficacy in these same complex backgrounds in the absence of NDM, KPC, and SHV-12. As previously shown in PRIMERS I-II, PIP/TAZO resistance was not observed in the majority of isolates as was predicted by the genotype. WGS in K. pneumoniae to predict AST results and potentially guide clinical decisions is improved for novel combinations like CAZ/AVI. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2018-11-26 /pmc/articles/PMC6253107/ http://dx.doi.org/10.1093/ofid/ofy209.166 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
Hujer, Andrea
Long, Wesley
Olsen, Randall
Kreiswirth, Barry N
Evans, Scott R
Musser, James
Bonomo, Robert
2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors
title 2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors
title_full 2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors
title_fullStr 2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors
title_full_unstemmed 2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors
title_short 2558. Predicting β-Lactam Resistance Using Whole Genome Sequencing (WGS) in Klebsiella pneumoniae: The Challenge of β-Lactam Inhibitors
title_sort 2558. predicting β-lactam resistance using whole genome sequencing (wgs) in klebsiella pneumoniae: the challenge of β-lactam inhibitors
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253107/
http://dx.doi.org/10.1093/ofid/ofy209.166
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