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

Predicting phenytoin dosages using Bayesian feedback: a comparison with other methods.

G J Yuen, J W Taylor, T M Ludden

    Therapeutic Drug Monitoring
    |January 1, 1983
    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

    Randomised-controlled trials and real-world evidence for optimising TB management.

    The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease·2022
    Same author

    <i>Fusarium</i>: more than a node or a foot-shaped basal cell.

    Studies in mycology·2021
    Same author

    Case of Excision of Hip Joint in Paisley Infirmary: Under the Care of Dr. M'Kinlay.

    Glasgow medical journal·2018
    Same author

    Transcervical aspiration technique for chorion villus biopsy in the first trimester of pregnancy and chromosomal analysis.

    Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology·2018
    Same author

    Autonomous model protocell division driven by molecular replication.

    Nature communications·2017
    Same author

    Thermodynamic and Kinetic Fragility of Freon 113: The Most Fragile Plastic Crystal.

    Physical review letters·2017
    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

    The Bayesian feedback method for phenytoin dosing showed similar bias and precision to other methods for single data points. For multiple data points, it offered better precision, reducing extreme dosing errors in epilepsy patients.

    Area of Science:

    • Pharmacokinetics
    • Clinical Pharmacology
    • Biostatistics

    Background:

    • Accurate phenytoin dosage prediction is crucial for managing epilepsy.
    • Traditional dosing methods include nomograms and graphical techniques.
    • Evaluating novel Bayesian feedback methods is important for optimizing drug therapy.

    Purpose of the Study:

    • To compare the predictive accuracy of a Bayesian feedback technique against other phenytoin dosing methods.
    • To assess bias and precision of different dosing strategies.
    • To identify the most reliable method for predicting phenytoin dosage.

    Main Methods:

    • Retrospective analysis of 69 epileptic patient cases with multiple phenytoin levels.
    • Comparison of Bayesian feedback technique with two published nomograms and a graphical/computational method.

    Related Experiment Videos

  • Assessment of absolute predictability using mean percent error and root mean squared percent error.

    • Main Results:

    • Bayesian method showed similar bias and precision to a nomogram for single data pairs.
    • For multiple data pairs, the graphical method was less biased, but the Bayesian method had better precision (though not statistically significant).
    • The Bayesian method resulted in the lowest percentage of predicted doses exceeding 110% of the actual dose, indicating fewer extreme dosing errors.

    Conclusions:

    • The Bayesian feedback technique offers a unified approach for single or multiple concentration-dosage data pairs.
    • This method is advantageous in reducing extreme dosing errors for phenytoin.
    • The Bayesian method provides a convenient and precise tool for phenytoin dosage prediction in clinical practice.