Skip to main navigation Skip to search Skip to main content

Rapid detection of Gram-negative bacteria and their drug resistance genes from positive blood cultures using an automated microarray assay

  • Catholic Univ. of Korea Coll. Med.
  • The Catholic University of Korea, College of Medicine

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

We evaluated the performance of the Verigene Gram-negative blood culture (BC-GN) assay (CE-IVD version) for identification of Gram-negative (GN) bacteria and detection of resistance genes. A total of 163 GN organisms (72 characterized strains and 91 clinical isolates from 86 patients) were tested; among the clinical isolates, 86 (94.5%) isolates were included in the BC-GN panel. For identification, the agreement was 98.6% (146/148, 95% confidence interval [CI], 92.1-100) and 70% (7/10, 95% CI, 53.5-100) for monomicrobial and polymicrobial cultures, respectively. Of the 48 resistance genes harbored by 43 characterized strains, all were correctly detected. Of the 19 clinical isolates harboring resistance genes, 1 CTX-M-producing Escherichia coli isolated in polymicrobial culture was not detected. Overall, BC-GN assay provides acceptable accuracy for rapid identification of Gram-negative bacteria and detection of resistance genes, compared with routine laboratory methods despite that it has limitations in the number of genus/species and resistance gene included in the panel and it shows lower sensitivity in polymicrobial cultures.

Original languageEnglish
Pages (from-to)153-157
Number of pages5
JournalDiagnostic Microbiology and Infectious Disease
Volume81
Issue number3
DOIs
StatePublished - 1 Mar 2015

Bibliographical note

Publisher Copyright:
© 2015.

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

  • Automated microarray assay
  • Polymicrobial
  • Positive blood cultures
  • Verigene

Fingerprint

Dive into the research topics of 'Rapid detection of Gram-negative bacteria and their drug resistance genes from positive blood cultures using an automated microarray assay'. Together they form a unique fingerprint.

Cite this