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1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network

BACKGROUND: VISN 22 is comprised of eight VA hospitals serving Southern California, Arizona, and New Mexico. The VISN 22 Antimicrobial Stewardship Workgroup formed in November 2018 with the purpose of sharing strong practices and program strategies. We compared antibiogram compilation strategies and...

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Autores principales: Ho, Macy, Armstrong, Elizabeth R, Graber, Christopher J, Chau, Tony T, Johns, Scott T, Namdar, Rocsanna, Varker, Andrew S, Ma, Ariel, Goetz, Matthew B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810920/
http://dx.doi.org/10.1093/ofid/ofz360.875
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author Ho, Macy
Armstrong, Elizabeth R
Graber, Christopher J
Chau, Tony T
Johns, Scott T
Namdar, Rocsanna
Varker, Andrew S
Ma, Ariel
Goetz, Matthew B
author_facet Ho, Macy
Armstrong, Elizabeth R
Graber, Christopher J
Chau, Tony T
Johns, Scott T
Namdar, Rocsanna
Varker, Andrew S
Ma, Ariel
Goetz, Matthew B
author_sort Ho, Macy
collection PubMed
description BACKGROUND: VISN 22 is comprised of eight VA hospitals serving Southern California, Arizona, and New Mexico. The VISN 22 Antimicrobial Stewardship Workgroup formed in November 2018 with the purpose of sharing strong practices and program strategies. We compared antibiogram compilation strategies and antimicrobial susceptibilities and correlated antimicrobial susceptibilities for Pseudomonas aeruginosa and Escherichia coli with inpatient and outpatient antibiotic use. METHODS: 2018 antibiograms were collected from each hospital. Antibiotic utilization rates (antibiotic days per 1000 patient-days present) were extracted from VA Corporate Data Warehouse data. Pearson correlation coefficients were calculated between 2018 utilization of specific agents and P. aeruginosa and E. coli susceptibilities to those agents at each facility. RESULTS: Antibiograms varied according to authorship (microbiology and/or infectious diseases), reporting frequency, rules regarding isolate reporting, and location and specimen specificity (Table 1). Facilities reported at least 90% susceptibility to a median of 3 antibiotics (range 1 to 5) for P. aeruginosa and 5 antibiotics (range 1 to 7) for E. coli. The strongest negative correlations between antimicrobial use and susceptibility were observed for meropenem/imipenem (-0.43) and piperacillin–tazobactam (-0.41) with P. aeruginosa and piperacillin–tazobactam (-0.23) and fluoroquinolones (-0.21) with E. coli. A moderate negative correlation was observed between outpatient fluoroquinolone prescriptions per 1000 patients and E. coli susceptibility (-0.24). CONCLUSION: Antibiogram composition is variable across VISN 22; not all reporting is consistent with CLSI recommendations. There was a modest correlation between some categories of antimicrobial use and resistance in P. aeruginosa and E. coli. Sharing antibiogram and antibiotic utilization data are helpful in developing antimicrobial stewardship strategies especially as we examine those hospitals with lower rates of resistance and antibiotic use. [Image: see text] DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68109202019-10-28 1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network Ho, Macy Armstrong, Elizabeth R Graber, Christopher J Chau, Tony T Johns, Scott T Namdar, Rocsanna Varker, Andrew S Ma, Ariel Goetz, Matthew B Open Forum Infect Dis Abstracts BACKGROUND: VISN 22 is comprised of eight VA hospitals serving Southern California, Arizona, and New Mexico. The VISN 22 Antimicrobial Stewardship Workgroup formed in November 2018 with the purpose of sharing strong practices and program strategies. We compared antibiogram compilation strategies and antimicrobial susceptibilities and correlated antimicrobial susceptibilities for Pseudomonas aeruginosa and Escherichia coli with inpatient and outpatient antibiotic use. METHODS: 2018 antibiograms were collected from each hospital. Antibiotic utilization rates (antibiotic days per 1000 patient-days present) were extracted from VA Corporate Data Warehouse data. Pearson correlation coefficients were calculated between 2018 utilization of specific agents and P. aeruginosa and E. coli susceptibilities to those agents at each facility. RESULTS: Antibiograms varied according to authorship (microbiology and/or infectious diseases), reporting frequency, rules regarding isolate reporting, and location and specimen specificity (Table 1). Facilities reported at least 90% susceptibility to a median of 3 antibiotics (range 1 to 5) for P. aeruginosa and 5 antibiotics (range 1 to 7) for E. coli. The strongest negative correlations between antimicrobial use and susceptibility were observed for meropenem/imipenem (-0.43) and piperacillin–tazobactam (-0.41) with P. aeruginosa and piperacillin–tazobactam (-0.23) and fluoroquinolones (-0.21) with E. coli. A moderate negative correlation was observed between outpatient fluoroquinolone prescriptions per 1000 patients and E. coli susceptibility (-0.24). CONCLUSION: Antibiogram composition is variable across VISN 22; not all reporting is consistent with CLSI recommendations. There was a modest correlation between some categories of antimicrobial use and resistance in P. aeruginosa and E. coli. Sharing antibiogram and antibiotic utilization data are helpful in developing antimicrobial stewardship strategies especially as we examine those hospitals with lower rates of resistance and antibiotic use. [Image: see text] DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6810920/ http://dx.doi.org/10.1093/ofid/ofz360.875 Text en © The Author(s) 2019. 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
Ho, Macy
Armstrong, Elizabeth R
Graber, Christopher J
Chau, Tony T
Johns, Scott T
Namdar, Rocsanna
Varker, Andrew S
Ma, Ariel
Goetz, Matthew B
1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network
title 1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network
title_full 1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network
title_fullStr 1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network
title_full_unstemmed 1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network
title_short 1011. Hospital Antibiogram Variation within a Veterans Affairs (VA) Regional Network
title_sort 1011. hospital antibiogram variation within a veterans affairs (va) regional network
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810920/
http://dx.doi.org/10.1093/ofid/ofz360.875
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