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

Estimation of pharmacokinetic model parameters

A Timcenko1, D L Reich, G Trunfio

  • 1Department of Anesthesiology, Mount Sinai Medical Center, New York, NY 10029, USA.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1995
PubMed
Summary

This study developed a pharmacokinetic model to predict light anesthesia by combining drug concentrations. This approach accounts for patient variability, improving anesthesia depth estimation during complex drug regimens.

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

Commemorating 50 years since the first heart transplantation in Bratislava - Czechoslovakia.

Bratislavske lekarske listy·2019
Same author

Prolonged concurrent hypotension and low bispectral index ('double low') are associated with mortality, serious complications, and prolonged hospitalization after cardiac surgery.

British journal of anaesthesia·2017
Same author

Response.

British journal of anaesthesia·2016
Same author

Intraoperative arterial blood pressure lability is associated with improved 30 day survival.

British journal of anaesthesia·2015
Same author

Association of intraoperative blood pressure instability with adverse outcomes after liver transplantation.

Minerva anestesiologica·2013
Same author

Influence of increased left ventricular myocardial mass on early and late mortality after cardiac surgery.

British journal of anaesthesia·2012

Area of Science:

  • Anesthesiology
  • Pharmacokinetics
  • Clinical Pharmacology

Background:

  • Estimating anesthesia depth is challenging due to combined drug use.
  • Existing models struggle with interpatient variability in pharmacokinetics and pharmacodynamics.
  • Hemodynamic responses are key indicators of autonomic nervous system activity during anesthesia.

Purpose of the Study:

  • To develop a pharmacokinetic model for predicting light anesthesia episodes.
  • To integrate drug concentrations using a weighted linear combination.
  • To account for interpatient variability using stochastic pharmacokinetic models.

Main Methods:

  • A stochastic pharmacokinetic model was used to compute weighted linear combinations of anesthetic drug concentrations.
  • A rule-based expert system analyzed anesthesia records based on hemodynamic criteria to identify light anesthesia.

Related Experiment Videos

  • Two-compartment pharmacokinetic models were augmented with stochastic components for 6 intravenous and 2 inhalational anesthetics.
  • Model parameters were estimated from 532 clinical cases and prospectively validated on 22 cases.

    • Main Results:

    • Pharmacokinetic model parameters were estimated for multiple anesthetic agents.
    • The model demonstrated predictive ability for light anesthesia episodes in prospective cases.
    • The approach successfully compensated for interpatient pharmacokinetic and pharmacodynamic variability.

    Conclusions:

    • A pharmacokinetic model can effectively predict light anesthesia in clinical settings with multiple drug combinations.
    • The stochastic modeling approach enhances the accuracy of anesthesia depth estimation.
    • This predictive model offers a valuable tool for optimizing anesthetic management.