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Published in: Journal of Clinical Monitoring and Computing 2/2024

19-12-2023 | Propofol | Original Research

Implementation of a Bayesian based advisory tool for target-controlled infusion of propofol using qCON as control variable

Authors: Remco Vellinga, Michele Introna, Kai van Amsterdam, X. Y. Tommy Zhou, Tom De Smet, Erik Weber Jensen, Michel M. R. F. Struys, Johannes P. van den Berg

Published in: Journal of Clinical Monitoring and Computing | Issue 2/2024

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Abstract

This single blinded randomized controlled trial aims to assess whether the application of a Bayesian-adjusted CePROP (effect-site of propofol) advisory tool leads towards a more stringent control of the cerebral drug effect during anaesthesia, using qCON as control variable. 100 patients scheduled for elective surgery were included and randomized into a control or intervention group (1:1 ratio). In the intervention group the advisory screen was made available to the clinician, whereas it was blinded in the control group. The settings of the target-controlled infusion pumps could be adjusted at any time by the clinician. Cerebral drug effect was quantified using processed EEG (CONOX monitor, Fresenius Kabi, Bad Homburg, Germany). The time of qCON between the desired range (35–55) during anaesthesia maintenance was defined as our primary end point. Induction parameters and recovery times were considered secondary end points and coefficient of variance of qCON and CePROP was calculated in order to survey the extent of control towards the mean of the population. The desired range of qCON between 35 and 55 was maintained in 84% vs. 90% (p = 0.15) of the case time in the control versus intervention group, respectively. Secondary endpoints showed similar results in both groups. The coefficient of variation for CePROP was higher in the intervention group. The application of the Bayesian-based CePROP advisory system in this trial did not result in a different time of qCON between 35 and 55 (84 [21] vs. 90 [18] percent of the case time). Significant differences between groups were hard to establish, most likely due to a very high performance level in the control group. More extensive control efforts were found in the intervention group. We believe that this advisory tool could be a useful educational tool for novices to titrate propofol effect-site concentrations.
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Metadata
Title
Implementation of a Bayesian based advisory tool for target-controlled infusion of propofol using qCON as control variable
Authors
Remco Vellinga
Michele Introna
Kai van Amsterdam
X. Y. Tommy Zhou
Tom De Smet
Erik Weber Jensen
Michel M. R. F. Struys
Johannes P. van den Berg
Publication date
19-12-2023
Publisher
Springer Netherlands
Keyword
Propofol
Published in
Journal of Clinical Monitoring and Computing / Issue 2/2024
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-023-01106-1

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