Creation of a Combination Antibiogram for Pseudomonas aeruginosa in a Pediatric Intensive Care Unit

Insights

A combination antibiogram improves empiric antimicrobial therapy for Pseudomonas aeruginosa infections. Adding a second agent, like an aminoglycoside or fluoroquinolone, significantly enhances susceptibility rates, especially for resistant strains.

Area of Science:

  • Clinical Microbiology
  • Infectious Diseases
  • Pharmacology

Background:

  • Pseudomonas aeruginosa is a significant opportunistic pathogen, frequently associated with hospital-acquired infections.
  • Rising antimicrobial resistance necessitates optimized empiric treatment strategies.
  • Standard antibiograms may not fully capture the effectiveness of combination antimicrobial therapy.

Purpose of the Study:

  • To develop and evaluate a combination antibiogram for Pseudomonas aeruginosa.
  • To identify optimal empiric antimicrobial regimens for P. aeruginosa infections.
  • To assess the impact of adding a second antimicrobial agent to common monotherapies.

Main Methods:

  • Collection of P. aeruginosa isolates from all sites in PICU patients between 2013-2017.
  • Exclusion of cystic fibrosis patients and isolates with identical susceptibility patterns within 30 days.
  • Determination of beta-lactam susceptibilities, with and without aminoglycoside or fluoroquinolone addition, summarized in a combination antibiogram.

Main Results:

  • Analysis included 199 P. aeruginosa isolates.
  • Piperacillin-tazobactam monotherapy showed 70% susceptibility, increasing to over 90% with aminoglycoside or fluoroquinolone addition.
  • Combination therapy with cefepime or meropenem achieved over 95% coverage when a second agent was added; higher second-agent susceptibility was needed for decreasing first-line agent effectiveness.

Conclusions:

  • Employing a second antimicrobial agent significantly enhances the probability of appropriate empiric coverage for P. aeruginosa.
  • Combination antibiograms offer greater benefit than simple antibiograms in high-resistance settings or for specific resistant organisms.
  • This approach aids in selecting effective empiric antimicrobial regimens against P. aeruginosa.
Abstract

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