Development and Application of an LC-MS/MS Assay for Plasma Propofol Quantification in Major Noncardiac Surgical Patients to Evaluate Target-Controlled Infusion Algorithms.

BACKGROUND

Propofol is a widely used anesthetic agent, yet it exhibits substantial interindividual variability in dosage requirements-likely driven by pharmacokinetic and/or pharmacodynamic factors. Despite ongoing efforts, accurate population-based pharmacokinetic-pharmacodynamic dosing algorithms, targeting plasma propofol concentrations, remain suboptimal. Reliable, high throughput and cost-efficient bioanalytical methods are required to quantify plasma propofol concentrations in large-scale clinical pharmacokinetic-pharmacodynamic studies to improve these algorithms. A review of the existing literature indicated an absence of liquid chromatography - tandem mass spectrometry (LC-MS/MS) assays suitable for this purpose.

METHODS

The authors developed, optimized, validated, and clinically applied a new bioanalytical method using protein precipitation and LC-MS/MS quantification.

RESULTS

The assay demonstrated intra- and inter-run assay accuracy of 86%-114% and 94%-105%, respectively, across the quantification range of 25-5000 ng/mL. Intra- and inter-run coefficients of variation were 2.7%-15.7% and 1.1%-5.0%, respectively. Propofol extraction recovery was 92%, with a total run-time of 5.5 minutes. This method demonstrated acceptable performance for dilution integrity, matrix effects, and stability under bench-top, freeze-thaw, autosampler, and long-term storage conditions, as well as reinjection reproducibility. This method was subsequently applied to quantify plasma propofol concentrations in a patient undergoing major noncardiac surgery, assessing the corresponding concentration-time profile. All measured propofol concentrations (648-4356 ng/mL) were within the validated assay quantification range.

CONCLUSIONS

The authors report a robust and efficient LC-MS/MS assay for propofol that was optimized, validated, and shown to be suitable for large-scale clinical pharmacokinetic studies. This fit-for-purpose method supports population pharmacokinetic modelling to inform more individualized dosing strategies.