Related Experiment Video
Updated: May 22, 2026

An In Vivo Mouse Model of Total Intravenous Anesthesia During Cancer Resection Surgery
Published on: June 8, 2021
Cross-simulation between two pharmacokinetic models for the target-controlled infusion of propofol
Jong-Yeop Kim1, Dae-Hee Kim, A-Ram Lee
1Department of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.
Background:
We investigated how one pharmacokinetic (PK) model differed in prediction of plasma (C(p)) and effect-site concentration (C(eff)) using a reproducing simulation of target-controlled infusion (TCI) with another PK model of propofol.
Methods:
Sixty female patients were randomly assigned to TCI using Marsh PK (Group M) and TCI using Schnider PK (Group S) targeting 6.0 µg/ml of C(p) of propofol for induction of anesthesia, and loss of responsiveness (LOR) was evaluated. Total and separate cross-simulation were investigated using the 2 hr TCI data (Marsh TCI and Schnider TCI), and we investigated the reproduced predicted concentrations (MARSH(SCH) and SCHNIDER(MAR)) using the other model. The correlation of the difference with covariates, and the influence of the PK parameters on the difference of prediction were investigated.
Results:
Group M had a shorter time to LOR compared to Group S (P < 0.001), but C(eff) at LOR was not different between groups. Reproduced simulations showed different time courses of C(p). MARSH(SCH) predicted a higher concentration during the early phase, whereas SCHNIDER(MAR) was maintained at a higher concentration. Volume and clearance of the central compartment were relevant to the difference of prediction, respectively. Body weight correlated well with differences in prediction between models (R(sqr) = 0.9821, P < 0.001).
Conclusions:
We compared two PK models to determine the different infusion behaviors during TCI, which resulted from the different parameter sets for each PK model.
Related Concept Videos
Pharmacokinetic Models: Overview
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal assumptions,...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model
One-Compartment Open Model for IV Bolus Administration: General Considerations
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant, half-life,...
Pharmacodynamic Models: Additive and Proportional Drug Effect Model
Pharmacodynamic Models: Overview