Exploring the influence of patient variability on propofol target-controlled infusion performance
Wahlquist, Ylva LU ; Gustafson, Amanda and Soltesz, Kristian LU
(2024)
22nd European Control Conference, ECC 2024
p.3027-3032
- Abstract
- Target-controlled infusion (TCI) constitutes a clinically available alternative to manually administering the infusion rate of the anesthetic drug propofol. In TCI, a drug infusion profile is optimized to track a reference trajectory of blood plasma or effect site (brain cortex) drug concentration, or a corresponding clinical effect. TCI is a pure feed-forward openloop strategy, fully reliant on an underlying dynamic patient model. We show how TCI dosing of propofol—to achieve a desired depth of hypnosis—can be posed as a QP problem. We design this QP problem based on a nominal pharmacological propofol model by Eleveld et al. Then, we investigate how interpatient variability, described as mixed effects of a particular distribution within... (More)
- Target-controlled infusion (TCI) constitutes a clinically available alternative to manually administering the infusion rate of the anesthetic drug propofol. In TCI, a drug infusion profile is optimized to track a reference trajectory of blood plasma or effect site (brain cortex) drug concentration, or a corresponding clinical effect. TCI is a pure feed-forward openloop strategy, fully reliant on an underlying dynamic patient model. We show how TCI dosing of propofol—to achieve a desired depth of hypnosis—can be posed as a QP problem. We design this QP problem based on a nominal pharmacological propofol model by Eleveld et al. Then, we investigate how interpatient variability, described as mixed effects of a particular distribution within the Eleveld model, affects TCI performance. Based on the Mahalanobis distance, we sample from probability quantiles of the mixed-effect model and evaluate the TCI designed for the nominal patient across these samples. The main outcome is that performance, in terms of achieved hypnotic depth, deteriorates to what is at the limit of clinical acceptance already when considering only 1 % of the most likely patients drawn from the uncertainty model. This is under the—for the TCI system unrealistically favorable—assumption that there is no uncertainty in the relation between effect site concentration, and clinical effect. The conclusion from the arising results is that the benefit of propofol TCI over manual dosing is unclear, even within the model that the TCI system was designed for. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/a66ad54f-8d41-42bb-90ef-bab418e8df80
- author
- Wahlquist, Ylva
LU
; Gustafson, Amanda
and Soltesz, Kristian
LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the 22nd European Control Conference
- pages
- 3027 - 3032
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 22nd European Control Conference, ECC 2024
- conference location
- Stockholm, Sweden
- conference dates
- 2024-06-25 - 2024-06-28
- external identifiers
-
- scopus:85200567480
- ISBN
- 978-390714410-7
- DOI
- 10.23919/ECC64448.2024.10590791
- project
- Learning pharmacometric model structures from data
- language
- English
- LU publication?
- yes
- id
- a66ad54f-8d41-42bb-90ef-bab418e8df80
- date added to LUP
- 2024-03-05 15:12:41
- date last changed
- 2025-01-27 15:15:02
@inproceedings{a66ad54f-8d41-42bb-90ef-bab418e8df80,
abstract = {{Target-controlled infusion (TCI) constitutes a clinically available alternative to manually administering the infusion rate of the anesthetic drug propofol. In TCI, a drug infusion profile is optimized to track a reference trajectory of blood plasma or effect site (brain cortex) drug concentration, or a corresponding clinical effect. TCI is a pure feed-forward openloop strategy, fully reliant on an underlying dynamic patient model. We show how TCI dosing of propofol—to achieve a desired depth of hypnosis—can be posed as a QP problem. We design this QP problem based on a nominal pharmacological propofol model by Eleveld et al. Then, we investigate how interpatient variability, described as mixed effects of a particular distribution within the Eleveld model, affects TCI performance. Based on the Mahalanobis distance, we sample from probability quantiles of the mixed-effect model and evaluate the TCI designed for the nominal patient across these samples. The main outcome is that performance, in terms of achieved hypnotic depth, deteriorates to what is at the limit of clinical acceptance already when considering only 1 % of the most likely patients drawn from the uncertainty model. This is under the—for the TCI system unrealistically favorable—assumption that there is no uncertainty in the relation between effect site concentration, and clinical effect. The conclusion from the arising results is that the benefit of propofol TCI over manual dosing is unclear, even within the model that the TCI system was designed for.}},
author = {{Wahlquist, Ylva and Gustafson, Amanda and Soltesz, Kristian}},
booktitle = {{Proceedings of the 22nd European Control Conference}},
isbn = {{978-390714410-7}},
language = {{eng}},
pages = {{3027--3032}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Exploring the influence of patient variability on propofol target-controlled infusion performance}},
url = {{https://lup.lub.lu.se/search/files/173307352/wahlquist24.pdf}},
doi = {{10.23919/ECC64448.2024.10590791}},
year = {{2024}},
}