System dynamics models for clinical anesthesia (on the example of propofol)

Abstract

Introduction. Systemic dynamics models (SDMs) describing the pharmacokinetics and pharmacodynamics of the anesthetic have been used for some time. Most of these models are standard models, which, at best, can be adjusted to a specific clinical case/patient only partially. In a clinical setting there is a need for more “personalized” models. Purpose. Presentation of a prototype SDM for propofol that allows the adjustment of the model for a specific patient. Material and methods. The NetLogo programming language and standard data on the pharmacokinetics and pharmacodynamics of propofol is used to create MSDs. Results. Using the NetLogo programming language, an SDM was created that allows personalization of the model for a specific patient, using patient data (body mass, height, heart rate, etc.). This can facilitate the choice of optimal dose of propofol (continous bolus and infusion) for the patient. Conclusions. The proposed model after its clinical calibration can improve the management of intravenous anesthesia with propofol in a specific patient by customizing the model for that patient.