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Pharmacokinetic modelling during long-term anesthesia: minimizing the gap

  • 0Ghent University, Department of Electromechanics, Systems and Metal Engineering, Research Group on Dynamical Systems and Control, Technologiepark 125, Gent 9052, East-Flanders, Belgium.
Journal of Advanced Research +

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June 26, 2025

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June 26, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study developed an augmented pharmacokinetic model to account for drug trapping in adipose tissue, improving anesthesia safety for obese patients. Model predictive control (MPC) reduced drug input and overdose risk during prolonged anesthesia.

Area Of Science

  • Pharmacology
  • Biomedical Engineering
  • Anesthesiology

Background

  • Prolonged general anesthesia risks drug accumulation and overdose, especially in obese patients.
  • Existing pharmacokinetic (PK) models often overlook comorbidities like obesity.
  • Obesity can alter drug distribution and clearance due to adipose tissue characteristics.

Purpose Of The Study

  • To augment PK models by incorporating drug trapping in adipose tissue as a function of Body Mass Index (BMI).
  • To develop a theoretical framework linking BMI to tissue properties and delayed drug clearance.
  • To investigate the impact of obesity on drug distribution and clearance during anesthesia.

Main Methods

  • Developed an augmented PK model with a "trap" compartment for adipose tissue.
  • Validated the model using in vitro impedance measurements and numerical simulations.
  • Employed Cole-Cole fractional-order models and genetic algorithms for parameter identification.
  • Utilized model predictive control (MPC) for closed-loop anesthesia simulations.

Main Results

  • Fat tissue properties were confirmed to be volume-dependent.
  • Simulations showed delayed drug clearance in high-BMI patients.
  • MPC maintained anesthetic depth with reduced drug input and usage across different BMI and age groups.

Conclusions

  • The augmented PK model effectively addresses drug trapping in obese patients.
  • MPC-based anesthesia management reduces total drug use and lowers overdose risk.
  • This approach enhances the safety and efficacy of prolonged anesthesia.

Keywords:

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