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Towards individualised anaesthesia: A comparison between target-controlled infusion and closed-loop control

Gustafsson, Amanda (2023)
Department of Automatic Control
Abstract
Individualised healthcare is the future of medicine, due to the so called inter-patient variability. The inter-patient variability involves differences in the drug response between different patients. The effect of a drug can usually be divided into pharmacokinetics (PK) and pharmacodynamics (PD). One way to individualise anaesthesia, may be to automate it using closed-loop control systems.
This thesis focused on comparing a commonly used method to calculate the dosage of propofol for anaesthesia, target-controlled infusion (TCI), with closedloop control using a proportional-integral-derivative (PID) controller. The TCI method was implemented with quadratic programming in two ways: one to calculate the optimal propofol dosage for a... (More)
Individualised healthcare is the future of medicine, due to the so called inter-patient variability. The inter-patient variability involves differences in the drug response between different patients. The effect of a drug can usually be divided into pharmacokinetics (PK) and pharmacodynamics (PD). One way to individualise anaesthesia, may be to automate it using closed-loop control systems.
This thesis focused on comparing a commonly used method to calculate the dosage of propofol for anaesthesia, target-controlled infusion (TCI), with closedloop control using a proportional-integral-derivative (PID) controller. The TCI method was implemented with quadratic programming in two ways: one to calculate the optimal propofol dosage for a reference patient, and the other to calculate an optimal propofol dosage for all patients in the patient set. The patient model set is based on a model developed by Eleveld et al, which is a PKPD model using six different covariates to cover a broad population.
The two TCI methods and the closed-loop control method were simulated on the same set of 100 patients, and the results were compared. The results show that the range of resulting depth of hypnosis after stabilisation for all patients in the set was smaller for closed-loop control than it was for the both TCI-methods. Furthermore, the simulation of closed-loop control resulted in all patients being within the desired interval, whereof the majority reached the desired depth of hypnosis. This indicates the high potential of closed-loop controlled anaesthesia in the future, and a more individualised healthcare. (Less)
Please use this url to cite or link to this publication:
author
Gustafsson, Amanda
supervisor
organization
year
type
H3 - Professional qualifications (4 Years - )
subject
report number
TFRT-6217
other publication id
0280-5316
language
English
id
9138732
date added to LUP
2023-09-18 10:05:53
date last changed
2023-09-18 10:05:53
@misc{9138732,
  abstract     = {{Individualised healthcare is the future of medicine, due to the so called inter-patient variability. The inter-patient variability involves differences in the drug response between different patients. The effect of a drug can usually be divided into pharmacokinetics (PK) and pharmacodynamics (PD). One way to individualise anaesthesia, may be to automate it using closed-loop control systems.
 This thesis focused on comparing a commonly used method to calculate the dosage of propofol for anaesthesia, target-controlled infusion (TCI), with closedloop control using a proportional-integral-derivative (PID) controller. The TCI method was implemented with quadratic programming in two ways: one to calculate the optimal propofol dosage for a reference patient, and the other to calculate an optimal propofol dosage for all patients in the patient set. The patient model set is based on a model developed by Eleveld et al, which is a PKPD model using six different covariates to cover a broad population.
 The two TCI methods and the closed-loop control method were simulated on the same set of 100 patients, and the results were compared. The results show that the range of resulting depth of hypnosis after stabilisation for all patients in the set was smaller for closed-loop control than it was for the both TCI-methods. Furthermore, the simulation of closed-loop control resulted in all patients being within the desired interval, whereof the majority reached the desired depth of hypnosis. This indicates the high potential of closed-loop controlled anaesthesia in the future, and a more individualised healthcare.}},
  author       = {{Gustafsson, Amanda}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Towards individualised anaesthesia: A comparison between target-controlled infusion and closed-loop control}},
  year         = {{2023}},
}