Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

How predictive is PK/PD for antibacterial agents?

Niels Frimodt-Møller1

  • 1Microbiological R&D, Statens Serum Institut, 5 Artillerivej, DK-2300 Copenhagen S, Denmark. nfm@ssi.dk

International Journal of Antimicrobial Agents
|April 30, 2002
PubMed
Summary

Optimizing antibiotic dosing involves understanding pharmacodynamic (PD) parameters like time above minimum inhibitory concentration (T>MIC) for concentration-independent drugs and peak/MIC ratio for concentration-dependent drugs to ensure treatment efficacy.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pivmecillinam: past, present, and future.

Expert opinion on pharmacotherapy·2026
Same author

The effect of the probiotic supplement-ASTARTE™-on the reduction of recurrent urinary tract infection in women aged 18-40 years: protocol for a randomized, double-blind, placebo-controlled study.

Trials·2026
Same author

Can we rely on using penicillin as the first-line treatment of pneumonia in outpatient care?

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2025
Same author

Freezing of Vaginal Swabs Prior to DNA Purification Does Not Statistically Significantly Affect Microbiome Composition.

MicrobiologyOpen·2025
Same author

Pivmecillinam for Treatment of Uncomplicated Urinary Tract Infection: New Efficacy Analysis.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2025
Same author

Prediction of bloodstream infection using machine learning based primarily on biochemical data.

Scientific reports·2025

Area of Science:

  • Pharmacology
  • Infectious Diseases
  • Microbiology

Background:

  • Antibiotic efficacy is assessed using pharmacodynamic (PD) parameters relating drug concentration to effect.
  • Key PD parameters include peak/minimal inhibitory concentration (MIC) ratio, area under the curve (AUC)/MIC ratio, and time above MIC (T>MIC).
  • The MIC itself is a crucial PD marker, with its precision in this role being discussed.

Purpose of the Study:

  • To explore the significance of various PD parameters in optimizing antibiotic therapy.
  • To highlight the predictive role of T>MIC for antibiotics with minimal concentration-dependent effects.
  • To emphasize the importance of peak/MIC ratio for concentration-dependent antibiotics.

Main Methods:

  • Review of experimental and clinical studies on antibiotic pharmacodynamics.

Related Experiment Videos

  • Analysis of the relationship between antibiotic concentration at the infection site and serum concentrations.
  • Evaluation of the predictive value of T>MIC, peak/MIC, and AUC/MIC ratios.

    • Main Results:

    • T>MIC is critical for beta-lactams and macrolides, with a minimal effective time (MET) required for cure.
    • For concentration-dependent killing antibiotics like aminoglycosides and fluoroquinolones, a peak/MIC ratio of ≥10 predicts high cure rates.
    • Once-daily aminoglycoside dosing is a consequence of these PK/PD principles.

    Conclusions:

    • Antibiotic dosing strategies should be tailored based on specific drug PD properties and pathogen susceptibility.
    • Achieving the MET or optimal PK/PD index (e.g., peak/MIC) is essential for effective treatment.
    • Further clinical research is needed to establish optimal dosing for all antibiotic classes and infections.