1887

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Volume 66, Issue 2

Molecular epidemiology of bloodstream infection isolates in a non-outbreak setting Free

Abstract

The molecular epidemiology of bloodstream infection (BSI) isolates has received limited attention. This study aims to characterize the molecular relationship of BSI isolates in the non-outbreak setting at a single tertiary healthcare facility.

  BSI isolates from patients who were admitted to the Royal Brisbane and Women’s Hospital over a 13 month period from November 2009 were identified retrospectively from the Pathology Queensland Clinical and Scientific Information System. The isolates were typed by the iPLEX MassARRAY matrix assisted lazer desorption/isonisation time of flight (MALDI-TOF) MS genotyping. The DiversiLab automated rapid strain typing platform (bioMérieux) was used to assess the genotypic relationships between study isolates that showed indistinguishable iPLEX20SNP profiles. Clinical data was also collected retrospectively from patient notes.

Fifty-three BSI episodes were available for study. Thirty-five different clones or clonal complexes were identified by the iPLEX MassARRAY MALDI-TOF MS genotyping. Seventeen BSI isolates with indistinguishable iPLEX20SNP profiles underwent further DiversiLab genotyping and were found to belong to a further 13 different genotypes. There was no relationship between clonality and acquisition type, source of infection or length of stay in the setting of hospital-acquired infection.

The non-clonal population structure suggests that there is ongoing environmental exposure of inpatients to . In clinical areas dealing with at-risk patients, routine attention to mechanism of environmental colonization is important and should be addressed even in the non-outbreak setting.

  • Received:
  • Accepted:
  • Published Online:
Keyword(s): bacteraemia , blood steam infection , molecular epidemiology and P. aeruginosa
© 2017 The Authors
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2017-02-01
2024-04-16
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Molecular epidemiology of Pseudomonas aeruginosa bloodstream infection isolates in a non-outbreak setting
J. Med. Microbiol. 66, 154 (2017); https://doi.org/10.1099/jmm.0.000413
/content/journal/jmm/10.1099/jmm.0.000413
/content/journal/jmm/10.1099/jmm.0.000413
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