Han Qi, Wang Hailu, Lu Xuejing, Li Yaru, Guo Yutong, Zhao Xiangyue, Feng Yi, Hu Li
Department of Anesthesiology, Department of Pain Medicine, Peking University People's Hospital, Beijing, China.
Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, China.
Eur J Pain. 2025 Jan;29(1):e4757. doi: 10.1002/ejp.4757. Epub 2024 Nov 23.
The prevalence of postoperative pain is notably high among the elderly population, which poses significant challenges for their postoperative recovery. In this study, we aimed to identify preoperative predictors for acute and chronic postoperative pain in patients undergoing lumbar spinal surgery through a longitudinal investigation.
We recruited 75 patients (mean age 68.29 ± 5.60 years) and collected their resting-state electroencephalography (EEG) data two hours before the surgery. The aperiodic and periodic signal components were extracted from the resting-state EEG using the Fitting Oscillations and One-Over-F algorithm. We also collected the preoperative pain ratings, demographic information and the Hospital Anxiety and Depression Scale from all patients. The postoperative pain ratings were collected ten times from Day 1 to Week 12 after surgery.
We observed a high incidence of postoperative acute and chronic pain among older patients. Preoperative pain and peak alpha frequency in resting-state EEG were the primary predictors of acute postoperative pain. Although age is a significant predictor of chronic postoperative pain, its predictive performance is poor.
Overall, our study provides valuable insights into the complex pattern of preoperative EEG features, preoperative pain and age in predicting postoperative pain at different stages. Our findings highlight the significance of exploring preoperative features to identify patients who are at a higher risk of developing severe postoperative pain, which can aid in the development of more personalized and effective pain management strategies.
The heightened occurrence of postoperative pain among the elderly presents formidable obstacles to their recuperation. This study delves into identifying preoperative factors influencing acute and chronic postoperative pain. Our findings indicate that preoperative pain and peak alpha frequency are crucial predictors of acute postoperative pain. However, the predictive performance for chronic postoperative pain is limited, although age was a significant predictor of chronic postoperative pain. These insights contribute to the identification of patients at elevated risk for severe acute and chronic postoperative pain, offering valuable guidance for pre-surgical risk assessment.
术后疼痛在老年人群中的发生率显著较高，这给他们的术后恢复带来了重大挑战。在本研究中，我们旨在通过纵向调查确定接受腰椎手术患者术后急性和慢性疼痛的术前预测因素。
我们招募了75名患者（平均年龄68.29±5.60岁），并在手术前两小时收集他们的静息态脑电图（EEG）数据。使用拟合振荡和1/f算法从静息态EEG中提取非周期性和周期性信号成分。我们还收集了所有患者的术前疼痛评分、人口统计学信息以及医院焦虑抑郁量表。术后疼痛评分在术后第1天至第12周收集了10次。
我们观察到老年患者术后急性和慢性疼痛的发生率较高。术前疼痛和静息态EEG中的α波峰值频率是术后急性疼痛的主要预测因素。虽然年龄是术后慢性疼痛的重要预测因素，但其预测性能较差。
总体而言，我们的研究为术前EEG特征、术前疼痛和年龄在预测不同阶段术后疼痛的复杂模式提供了有价值的见解。我们的研究结果强调了探索术前特征以识别术后发生严重疼痛风险较高患者的重要性，这有助于制定更个性化和有效的疼痛管理策略。
老年人术后疼痛发生率的增加给他们的康复带来了巨大障碍。本研究深入探讨了确定影响术后急性和慢性疼痛的术前因素。我们的研究结果表明，术前疼痛和α波峰值频率是术后急性疼痛的关键预测因素。然而，尽管年龄是术后慢性疼痛的重要预测因素，但其对慢性术后疼痛的预测性能有限。这些见解有助于识别术后发生严重急性和慢性疼痛风险较高的患者，为术前风险评估提供有价值的指导。
