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Abstract Background: Balancing profound analgesia with the minimization of opioid-related adverse events, particularly postoperative nausea and vomiting (PONV), remains challenging in burn surgery. This study aimed to use machine learning to evaluate the comparative efficacy and safety of the novel biased agonist Oliceridine versus Sufentanil. Methods: A retrospective cohort of 586 patients undergoing burn skin grafting was analyzed.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
