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

Area of Science:

• Anesthesiology
• Pharmacology
• Neuroscience

Background:

• Precise control of anesthetic drug effect is crucial for patient safety.
• Propofol's effect-site concentration (CePROP) influences cerebral drug effect.
• Existing methods for titrating propofol may lack optimal precision.

Purpose of the Study:

• To evaluate if a Bayesian-adjusted CePROP advisory tool enhances control of cerebral drug effect during anesthesia.
• To compare the efficacy of the advisory tool against standard practice using qCON as the control variable.

Main Methods:

• A single-blinded randomized controlled trial involving 100 patients undergoing elective surgery.
• Patients were randomized into an intervention group (advisory tool available) or a control group (tool blinded).
• Cerebral drug effect was monitored using processed EEG (qCON), with the primary endpoint being time within the target qCON range (35-55).

Main Results:

• The target qCON range was maintained for 84% of case time in the control group vs. 90% in the intervention group (p=0.15).
• No significant differences were observed in secondary endpoints or overall qCON maintenance between groups.
• The intervention group showed higher coefficient of variation for CePROP, indicating more control efforts.

Conclusions:

• The Bayesian-adjusted CePROP advisory tool did not significantly improve the time within the target qCON range.
• High performance in the control group made it difficult to establish significant differences.
• The tool shows potential as an educational aid for clinicians, especially novices, in titrating propofol.