Proteus mirabilis - analysis of a concealed source of carbapenemases and development of a diagnostic algorithm for

Axel Hamprecht1, Janko Sattler2, Janina Noster3

  • 1Institute for Medical Microbiology and Virology, University of Oldenburg and Klinikum Oldenburg, Oldenburg, Germany; Institute for Medical Microbiology, Immunology and Hygiene, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany; DZIF (German Centre for Infection Research), Partner Site Bonn-Cologne, Cologne, Germany.

Abstract

Insights

Standard tests often miss carbapenemases in Proteus mirabilis, leading to underestimation and potential treatment failures. A new algorithm accurately detects these carbapenemase-producing Proteus strains.

Area of Science:

  • Clinical microbiology
  • Antimicrobial resistance
  • Molecular biology

Background:

  • Proteus mirabilis is a common cause of healthcare-associated infections.
  • Carbapenemase production in P. mirabilis is an emerging threat, complicating treatment options.

Purpose of the Study:

  • To analyze carbapenemases in Proteus mirabilis isolates.
  • To evaluate the performance of various carbapenemase detection assays.

Main Methods:

  • Investigated 81 clinical P. mirabilis isolates using multiple susceptibility testing methods.
  • Employed six phenotypic carbapenemase assays, two immunochromatographic assays, and whole-genome sequencing.
  • Developed and validated a novel detection algorithm.

Main Results:

  • Carbapenemases were identified in 43 of 81 isolates, including OXA-48-like, OXA-23, OXA-58, NDM, VIM, IMP, and KPC.
  • Many carbapenemase-producing isolates remained susceptible to certain antibiotics like ertapenem and meropenem.
  • The developed algorithm achieved 100% sensitivity and specificity in detecting carbapenemases.

Conclusions:

  • Current susceptibility testing and phenotypic assays frequently fail to detect carbapenemases in P. mirabilis.
  • The prevalence of carbapenemases in P. mirabilis is likely underestimated.
  • The proposed algorithm offers an accurate and easy method for identifying carbapenemase-producing Proteus.

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