Prediction and Prevention of Postoperative Sleep Disorders: Clinical Management under an Integrative Medicine Model
Abstract：Postoperative sleep disorder (PSD) is a key factor affecting patient recovery, involving multiple mechanisms such as neurotransmitter imbalance, inflammatory response, and circadian rhythm disturbance. This article systematically reviews the prediction models of PSD (clinical risk scores, biomarkers, AI technology) and prevention strategies. Western medicine focuses on perioperative optimization, including minimally invasive surgery, regional anesthesia, application of dexmedetomidine, multimodal analgesia, and sleep environment management; traditional Chinese medicine emphasizes syndrome differentiation and treatment, regulating the neuro-endocrine network through compound herbal prescriptions, acupuncture, and transcutaneous acupoint electrical stimulation. Future efforts should focus on building an integrated pathway based on enhanced recovery after surgery (ERAS), deepening mechanism research, and promoting digital management.
Keywords：Postoperative Sleep DisorderPrediction ModelMultimodal AnalgesiaAcupunctureIntegrative Medicine
Publication Date：2025-06-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1-6 )