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Performance of ePlex® blood culture identification panels in clinical isolates and characterization of antimicrobial stewardship opportunities

  • Jenni K. Thomas
  • , Justin Clark
  • , Vaneet Arora
  • , David S. Burgess
  • , Donna R. Burgess
  • , Ryan P. Mynatt
  • , Jeremy D. VanHoose
  • , Katie L. Wallace
  • , Sarah E. Cotner

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

We assessed the performance of GenMark's ePlex® Blood Culture Identification (BCID) Panels for overall agreement of organism identification and resistance mechanism detection with standard microbiologic methods. This study included patients with a positive blood culture from May 2020 to January 2021. The primary outcomes were to assess concordance of ePlex® organism identification with standard identification methods and concordance of ePlex® genotypic resistance mechanism detection with standard phenotypic susceptibility testing. Secondary outcomes included panel specific performance and characterization of antimicrobial stewardship opportunities. The overall identification concordance rate in 1276 positive blood cultures was 98.1%. The overall concordance for the presence of resistance markers was 98.2% and concordance for the absence of resistance markers was 100%. A majority of ePlex® results (69.5%) represented opportunities for potential antimicrobial stewardship intervention. High concordance rates between the ePlex® BCID panels and standard identification and susceptibility methods enable utilization of results to guide rapid antimicrobial optimization.

Original languageEnglish
Article number116269
JournalDiagnostic Microbiology and Infectious Disease
Volume109
Issue number3
DOIs
StatePublished - Jul 2024

Bibliographical note

Publisher Copyright:
© 2024

Funding

The project described was supported by the NIH National Center for Advancing Translational Sciences through grant number UL1TR001998. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

FundersFunder number
National Institutes of Health (NIH)
National Center for Advancing Translational Sciences (NCATS)UL1TR001998
National Center for Advancing Translational Sciences (NCATS)

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Antimicrobial stewardship
    • Bacteremia
    • Bacterial identification
    • Blood cultures
    • ePlex®
    • Rapid diagnostics

    ASJC Scopus subject areas

    • Microbiology (medical)
    • Infectious Diseases

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