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Wide variability in Pseudomonas aeruginosa aminoglycoside results among seven susceptibility testing procedures

J L Staneck1, S Glenn, J R DiPersio

  • 1University Hospital, Cincinnati, Ohio 45267-0714.

Insights

Antimicrobial susceptibility testing methods for Pseudomonas aeruginosa show significant variability, especially for gentamicin. This impacts accurate clinical interpretation and comparison of antibiotic resistance trends across healthcare settings.

Area of Science:

  • Clinical Microbiology
  • Infectious Diseases
  • Pharmacology

Background:

  • Accurate antimicrobial susceptibility testing (AST) is crucial for guiding antibiotic therapy in bacterial infections.
  • Pseudomonas aeruginosa is an opportunistic pathogen frequently associated with healthcare-associated infections and antibiotic resistance.
  • Standardization of AST methods is essential for reliable interpretation of results and epidemiological surveillance.

Purpose of the Study:

  • To compare the performance of seven different antimicrobial susceptibility testing methods for Pseudomonas aeruginosa.
  • To evaluate method-dependent variability in susceptibility results for key antibiotics, including aminoglycosides and beta-lactams.
  • To assess the impact of testing methodology on the characterization of the Pseudomonas aeruginosa population's resistance patterns.

Main Methods:

  • Evaluated 150 Pseudomonas aeruginosa isolates against gentamicin, tobramycin, amikacin, carbenicillin, and piperacillin.
  • Utilized conventional methods: agar disk diffusion, agar dilution, and broth microdilution (cation-supplemented Mueller-Hinton broth).
  • Employed automated/instrumented methods: Autobac I, Avantage, Sensititre Autoreader, and Vitek (AMS-240).

Main Results:

  • Significant method-dependent variability was observed, particularly for gentamicin susceptibility testing.
  • Automated methods (Autobac, Avantage) showed higher susceptibility rates for gentamicin compared to conventional methods.
  • Aminoglycoside (tobramycin, amikacin) and beta-lactam (carbenicillin, piperacillin) results exhibited less variability, though some discrepancies were noted.

Conclusions:

  • Methodological differences in AST can lead to divergent interpretations of Pseudomonas aeruginosa susceptibility, complicating clinical decision-making.
  • Variability in gentamicin testing highlights the need for method standardization or careful consideration of testing platforms when interpreting resistance data.
  • The findings underscore the challenges in comparing antimicrobial resistance trends across institutions using diverse AST methodologies.

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