• Lihua Peng, Yun Song, Biqiong Lv, and Chen Jing.
• The Department of Anesthesia and Pain Medicine, The First Affiliated Hospital of Chongqing Medical University, #1 Road Youyi Road, Yuanjiagang Community, Yuzhong District, Chongqing, 400016, China. plhcqmu@163.com.
• J Anesth. 2023 Oct 1; 37 (5): 775786775-786.

PurposesTo optimize the efficacy of analgesia and post-operative recovery for patients undergoing laparoscopic colorectal surgery by integrating a composite psycho-somatic analgesia algorithm involving peri-operative rehabilitation exercise and pain neuroscience education into multi-modal analgesia.MethodsA prospective randomized controlled trial was conducted to compare conventional peri-operative analgesia (group CA) and the addition of rehabilitation exercise and pain neuroscience education into it (group REPNE) for patients undergoing laparoscopic colorectal surgery. Acute and chronic post-operative pain, characteristics of pain (pain catastrophizing, sensitization, and trends of neuropathic transformation), and quality of post-operative recovery calibrated with EuroQol Five Dimensions Questionnaire (EQ-5D-5L) were investigated and compared between two groups.ResultsA total of 175 patients consented to participate in this study. Compared with those receiving conventional analgesia (group CA, N = 89), patients in group REPNE (N = 86) reported reduced intensity of pain 24 h after surgery, less risk of pain catastrophizing and sensitization, and better quality of life during hospitalization recovery till 1 month after surgery (p < 0.05). No statistical difference was found for neuropathic transformation of post-operative pain or for the incidence of chronic post-operative pain (p > 0.05).ConclusionsThe addition of peri-operative rehabilitation exercise and pain neuroscience education into multi-modal analgesia provided better analgesic effect compared with routine practice for patients receiving laparoscopic colorectal surgery and also facilitated better post-operative recovery. This composite psycho-somatic algorithm for peri-operative analgesia merits further application in clinical practice.© 2023. The Author(s) under exclusive licence to Japanese Society of Anesthesiologists.

23 keywords...

hide…