Implementation of a Bayesian based advisory tool for target-controlled infusion of propofol using qCON as control variable
Authors' conclusion
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).
Study context
- Population
- Patients scheduled for elective surgery under propofol TCI with qCON (CONOX) EEG monitoring
- Participants
- 100 patients
- Comparison
- Intervention vs Control
- Primary endpoint
- Time of qCON within the desired range (35-55) during anaesthesia maintenance
Methodological detailssingle blinded, 1:1 randomisation
- Single blinded
- 1:1 randomisation
Primary result
As reported in the abstract
Time of qCON within desired range (35-55) during anaesthesia maintenance
P = 0.15
Secondary outcomes
Induction parameters and recovery times
- Similar results in both groups
Coefficient of variation of CePROP
- Higher in the intervention group
Original publication
Implementation of a Bayesian based advisory tool for target-controlled infusion of propofol using qCON as control variable. J Clin Monit Comput. Published 19 December 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →