ABSTRACT
BACKGROUND: Treatment with opioids is a mainstay in perioperative pain management. While the leading treatment paradigm has been procedure-specific pain management, efforts regarding personalized pain treatment are increasing. The OPIâ¢AID project aims to develop personalized algorithms for perioperative pain management, taking demographic, surgical, and anaesthesiologic factors into account. We will undertake five parallel reviews to illuminate current evidence on different aspects of individual responses to perioperative opioid treatment. METHODS: Inclusion of adult populations in English-written studies. Review-specific searches are developed for the following databases: CENTRAL, MEDLINE, Embase, clinicaltrials.gov, and clinicaltrial.eu. Two authors will independently screen citations, extract data, and assess the risks of bias in each review (QUIPS, PROBAST and RoB2, as relevant). CONCLUSION: These reviews will evaluate various aspects of perioperative opioid treatment, including individualized treatment strategies, selection of specific opioids, and individual patient responses. These will guide future development of a personalized perioperative opioid treatment algorithm (OPIâ¢AID) that will be validated and tested clinically against standard of care.