Antimicrobial resistance in cystic fibrosis: A Delphi approach to defining best practices

Edith Zemanick1, Pierre-Régis Burgel2, Giovanni Taccetti3

  • 1Department of Pediatrics, University of Colorado, Anschutz Medical Campus, Aurora, CO, United States.

Abstract

Insights

Antimicrobial susceptibility testing (AST) in cystic fibrosis (CF) may not predict treatment outcomes. Clinical response, not AST, guides CF antimicrobial therapy decisions, suggesting a need to re-evaluate current AST practices.

Area of Science:

  • Infectious Diseases
  • Pulmonology
  • Clinical Microbiology

Background:

  • Antimicrobial susceptibility testing (AST) is crucial for managing cystic fibrosis (CF) infections.
  • Limited evidence supports AST's ability to predict clinical outcomes in CF patients undergoing antimicrobial treatment.
  • Current AST utilization in the CF community warrants careful re-evaluation.

Purpose of the Study:

  • To establish expert consensus on the use of respiratory culture results in CF patient management.
  • To address key questions regarding test selection, timing, and interpretation of microbiological data.
  • To guide clinical decision-making in CF antimicrobial therapy.

Main Methods:

  • An international expert panel including pulmonologists, infectious disease specialists, microbiologists, and pharmacists was convened.
  • An iterative systematic survey (Delphi method) was employed to reach consensus on critical issues.
  • Key questions focused on ordering, timing, and acting upon respiratory culture results in CF.

Main Results:

  • Consensus was achieved on numerous aspects of respiratory culture and AST performance in CF.
  • Differences in opinion were noted between surveillance cultures and cultures obtained during clinical worsening.
  • A significant finding is the reliance on clinical response over AST results for guiding CF treatment decisions.

Conclusions:

  • Recommendations are provided for microbiology testing practices in CF patients.
  • Priority areas for future research in CF microbiology testing are identified.

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