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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
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Evaluating inter-individual variability captured by the Eleveld pharmacokinetics model.

Sara Hosseinirad1, Klaske van Heusden2, Guy A Dumont3

  • 1Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada. sarahrad@ece.ubc.ca.

Journal of Clinical Monitoring and Computing
|November 7, 2023
PubMed
Summary

The Eleveld pharmacokinetic model did not improve anesthesia control accuracy compared to older models. This study found no significant difference in predictive performance for open-loop or closed-loop anesthesia control systems.

Keywords:
Closed-loop controlPharmacokinetic-pharmacodynamicSystem identificationTarget-controlled infusion

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Area of Science:

  • Anesthesiology
  • Pharmacokinetics
  • Pharmacodynamics
  • Control Systems Engineering

Background:

  • Inter-individual variability in pharmacokinetic (PK) and pharmacodynamic (PD) models impacts anesthesia control accuracy.
  • Accurate PK/PD models are crucial for Target Controlled Infusion and closed-loop anesthesia systems.

Purpose of the Study:

  • To evaluate if the Eleveld PK model better captures inter-individual variability for anesthesia control compared to Schuttler and Schnider PK models.
  • To assess the impact of different PK models on the variability of PD models used in anesthesia control design.

Main Methods:

  • Propofol infusion rates and Depth of Hypnosis data from elderly, obese, and adult groups were analyzed.
  • Pharmacodynamic (PD) models were developed using plasma concentration predictions from three PK models: Eleveld, Schuttler, and Schnider.
  • Model performance was validated, and variability in step responses (open-loop) and PD model sets (closed-loop) was compared.

Main Results:

  • Validated PK/PD models using Schuttler and Schnider PK models showed no significant difference in predictive response or uncertainty compared to the Eleveld PK model.
  • The coefficient of variation in step responses and the uncertainty of PD model sets were comparable across all three PK models.
  • The Eleveld PK model did not demonstrate an advantage for designing open-loop or closed-loop anesthesia control systems.

Conclusions:

  • The Eleveld PK model does not offer significant advantages over the Schuttler or Schnider PK models for anesthesia control.
  • Current PK models exhibit comparable variability, indicating no improvement in predictive accuracy for anesthesia control systems with the Eleveld model.