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Antimicrobial susceptibility breakpoints: PK-PD and susceptibility breakpoints.
1Institute for Clinical Pharmacodynamics, Ordway Research Institute, Albany, New York 12208, USA. PAmbrose-ICPD@OrdwayResearch.org
Treatments in Respiratory Medicine
|April 23, 2005
Summary
Standardizing antimicrobial susceptibility testing remains challenging. Pharmacokinetics-pharmacodynamics can help interpret results for resistant bacteria like Streptococcus pneumoniae, guiding effective treatment choices.
Area of Science:
- Clinical Microbiology
- Infectious Diseases
- Pharmacology
Background:
- Standardization of antimicrobial susceptibility testing has advanced since the 1960s.
- Interpretation of susceptibility test results remains controversial, impacting clinical decisions.
- Penicillin-resistant Streptococcus pneumoniae emerged, leading to macrolides as alternative treatments.
Purpose of the Study:
- To address the ongoing debate regarding the interpretation of clinical laboratory susceptibility test results.
- To explore the clinical meaning of increasing macrolide minimum inhibitory concentration (MIC) values in Streptococcus pneumoniae.
- To utilize pharmacokinetics-pharmacodynamics (PK-PD) for optimizing antimicrobial breakpoints and treatment regimens.
Main Methods:
- Review of historical advancements in antimicrobial susceptibility testing standardization.
- Analysis of the emergence and clinical impact of resistant Streptococcus pneumoniae strains.
- Application of pharmacokinetic-pharmacodynamic principles to interpret MIC values and guide breakpoint selection.
Main Results:
- Discordance between interpretive test results and clinical response has been observed.
- Increasing incidence of pneumococcal isolates with elevated macrolide MIC values noted.
- Pharmacokinetics-pharmacodynamics offers a framework for interpreting elevated MICs and selecting appropriate breakpoints.
Conclusions:
- Pharmacokinetics-pharmacodynamics is crucial for interpreting antimicrobial susceptibility testing results, especially for resistant pathogens.
- PK-PD modeling aids in determining appropriate dosing regimens for contemporary antimicrobial agents.
- Accurate interpretation of susceptibility data is essential for effective antimicrobial therapy and selection of breakpoints.