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

Evaluation of a two-compartment Bayesian forecasting program for predicting vancomycin concentrations.

K A Rodvold1, R D Pryka, M Garrison

  • 1Department of Pharmacy Practice, College of Pharmacy, University of Illinois, Chicago 60612.

Therapeutic Drug Monitoring
|January 1, 1989
PubMed
Summary
This summary is machine-generated.

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

<i>Ex Vivo</i> Urinary Bactericidal Activity and Urinary Pharmacodynamics of Fosfomycin after Two Repeated Dosing Regimens of Oral Fosfomycin Tromethamine in Healthy Adult Subjects.

Antimicrobial agents and chemotherapy·2019
Same author

Comparison of piperacillin exposure in the lungs of critically ill patients and healthy volunteers.

The Journal of antimicrobial chemotherapy·2018
Same author

Pharmacokinetics, Safety, and Tolerability of Single-Dose Intravenous (ZTI-01) and Oral Fosfomycin in Healthy Volunteers.

Antimicrobial agents and chemotherapy·2017
Same author

The genetics of schizophrenia.

Journal of abnormal psychology·2010
Same author

Plasmid-mediated complementation of gyrA and gyrB in fluoroquinolone-resistant Bacteroides fragilis.

The Journal of antimicrobial chemotherapy·2003
Same author

Levofloxacin penetration into epithelial lining fluid as determined by population pharmacokinetic modeling and monte carlo simulation.

Antimicrobial agents and chemotherapy·2002
Same journal

A Novel Dosing Strategy for Tacrolimus in Lung Transplant Recipients: Integrating Machine Learning with Population Pharmacokinetic Analysis.

Therapeutic drug monitoring·2026
Same journal

Recommendations for Assessing Methodological Quality in Systematic Reviews of Population Pharmacokinetic Models: A Systematic Review.

Therapeutic drug monitoring·2026
Same journal

Wide-Range Quantification of Belumosudil in Patients with Chronic Graft-Versus-Host Disease by High-Performance Liquid Chromatography.

Therapeutic drug monitoring·2026
Same journal

Deltamethrin Placental Transfer and Seasonal Pyrethroid Exposure: A Mother-Newborn Dyad Pilot Study.

Therapeutic drug monitoring·2026
Same journal

A Clustering-Based Grey Modeling Approach for Tacrolimus Concentration Prediction Under Sparse Therapeutic Drug Monitoring.

Therapeutic drug monitoring·2026
Same journal

Response to Panteghini "About Analytical Performance Specifications for Immunosuppressive Drug Measurements".

Therapeutic drug monitoring·2026
See all related articles

This study evaluated a Bayesian forecasting program for vancomycin, finding it improved predictions when using steady-state concentrations. This enhances therapeutic drug monitoring for better patient outcomes.

Area of Science:

  • Pharmacokinetics and Pharmacodynamics
  • Computational Biology
  • Clinical Pharmacology

Background:

  • Vancomycin is a critical antibiotic for treating serious Gram-positive infections.
  • Accurate therapeutic drug monitoring (TDM) is essential for optimizing vancomycin efficacy and minimizing toxicity.
  • Bayesian forecasting offers a method for individualizing drug dosage regimens.

Purpose of the Study:

  • To retrospectively evaluate the predictive performance of a two-compartment Bayesian forecasting program for vancomycin.
  • To assess the impact of using non-steady-state versus steady-state vancomycin concentrations as feedback for model refinement.
  • To determine if individualized pharmacokinetic parameters improve prediction accuracy.

Main Methods:

  • Retrospective analysis of vancomycin concentrations in 45 adult patients with stable renal function.

Related Experiment Videos

  • Development of population-based pharmacokinetic parameter estimates using serial blood samples from 25 patients.
  • Assessment of Bayesian program predictive performance using non-steady-state and steady-state vancomycin concentrations as feedback.

    • Main Results:

    • The Bayesian program generally underpredicted peak and trough steady-state vancomycin concentrations.
    • Using non-steady-state feedback resulted in larger prediction errors compared to no feedback.
    • Significant improvement in prediction error and precision was observed when using steady-state feedback concentrations.

    Conclusions:

    • Initial pharmacokinetic parameter estimates from a two-compartment Bayesian model can accurately predict steady-state vancomycin concentrations.
    • Individualizing pharmacokinetic parameters using steady-state vancomycin concentrations markedly improves prediction bias and precision.
    • The findings support the utility of Bayesian forecasting with steady-state feedback for optimizing vancomycin therapy.