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

Pharmacokinetic-pharmacodynamic model for educational simulations

W L van Meurs1, E Nikkelen, M L Good

  • 1Department of Anesthesiology, University of Florida, College of Medicine, Gainesville 32610, USA. willem@anest4.anest.ufl.edu

IEEE Transactions on Bio-Medical Engineering
|May 15, 1998
PubMed
Summary

This study introduces a novel pharmacokinetic-pharmacodynamic (PK-PD) model for educational simulations. The new model integrates data from non-simultaneous studies, improving flexibility and accuracy in drug effect modeling.

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

Patient simulation for training basic and advanced clinical skills.

Medical education·2003
Same author

Development of foetal and neonatal simulators at the University of Porto.

Medical education·2003
Same author

Minocycline: stain devil?

The British journal of dermatology·2003
Same author

Educational simulation of the electroencephalogram (EEG).

Technology and health care : official journal of the European Society for Engineering and Medicine·2001
Same author

Influence of pulse oximetry and capnography on time to diagnosis of critical incidents in anesthesia: a pilot study using a full-scale patient simulator.

Journal of clinical monitoring and computing·1999
Same author

Hydraulic analog for simultaneous representation of pharmacokinetics and pharmacodynamics: application to vecuronium.

Journal of clinical monitoring and computing·1999

Area of Science:

  • Pharmacology
  • Pharmacokinetics
  • Pharmacodynamics

Background:

  • Traditional pharmacokinetic-pharmacodynamic (PK-PD) models rely on simultaneous drug concentration and effect measurements.
  • Simultaneous PK-PD studies are limited in their ability to cover diverse drug-physiology combinations for educational simulations.
  • Existing models struggle to incorporate data from varied, non-simultaneous pharmacological studies.

Purpose of the Study:

  • To develop an advanced PK-PD model capable of integrating parameter data from disparate, non-simultaneous pharmacological studies.
  • To enhance the flexibility and applicability of PK-PD models in educational simulations.
  • To introduce a novel parameter estimation procedure for improved model accuracy.

Main Methods:

  • Elaboration of the traditional simultaneous PK-PD model to accept nonsimultaneous data.

Related Experiment Videos

  • Development of a novel estimation procedure for key parameters (kc0 and EC50).
  • Sensitivity analysis to validate the model's accuracy in reflecting peak effect time and dose-response curves.
  • Extension of the model to accommodate various monotonic dose-response curves.
  • Main Results:

    • The new model accurately reflects the time of peak effect and dose-response curves.
    • Sensitivity analysis confirmed the robustness of the parameter estimation procedure.
    • The model's ability to simulate the recovery phase was analyzed, highlighting the impact of parameter set inconsistencies.
    • Demonstrated successful application using vecuronium, with parameter estimates aligning with simultaneous PK-PD study findings.

    Conclusions:

    • The developed PK-PD model effectively integrates data from non-simultaneous studies, overcoming limitations of traditional methods.
    • The novel estimation procedure enhances the accuracy and utility of PK-PD models for educational purposes.
    • This approach broadens the scope of PK-PD modeling for diverse drug-physiology scenarios, as exemplified by vecuronium.