External Validation of an Algorithm to Guide Opioid Administration at the End of Surgery—Protocol for an Observational Cohort Study of the Opioid Algorithms for Individualized Dosing (OPIAID) Algorithm
Study context
- Population
- Adults undergoing elective or acute surgery under GA requiring intraoperative opioid at end of surgery and subsequent PACU stayplanned
- Participants
- 656 adults
- Planned comparison
- Intraoperative OPIAID algorithm vs Clinician-administered
- Primary endpoint
- External validation of two machine-learning models: reliability, agreement and calibration
Methodological detailsexternal validation, multicentre, TRIPOD+AI-adherent, Comparisons based on proximity to a golden standard "optimal dose" from a predefined generic ruleset (intraoperative opioid dosing, postoperative pain, opioid-related adverse events, rescue opioid need)
- External validation
- Multicentre
- TRIPOD+AI-adherent
- Comparisons based on proximity to a golden standard "optimal dose" from a predefined generic ruleset (intraoperative opioid dosing, postoperative pain, opioid-related adverse events, rescue opioid need)
No results yet. This paper sets out the design of a trial; its results are to come.
Original publication
External Validation of an Algorithm to Guide Opioid Administration at the End of Surgery—Protocol for an Observational Cohort Study of the OPIAID Algorithm. Acta Anaesthesiol Scand. Published 23 June 2025. doi:10.
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