Tsai Pei-Shan, Chen Pei-Ling, Lai Yuen-Liang, Lee Ming-Been, Lin Chia-Chin
From the Medical University Wan Fan Hospital, Taipei, Taiwan.
Cancer Nurs. 2007 Sep-Oct;30(5):347-53. doi: 10.1097/01.NCC.0000290805.38335.7b.
Most patients with advanced cancer experience pain. However, many cancer patients do not find satisfaction with conventional treatment of pain relief. This study examined the effect of electromyography (EMG) biofeedback-assisted relaxation on cancer-related pain in advanced cancer patients. We hypothesized that changes in EMG activity in frontal muscles underlie the efficacy of EMG biofeedback-assisted relaxation. This was a randomized control study. The experimental group (n = 12) received 6 EMG biofeedback-assisted relaxation sessions over a 4-week period, whereas the control group (n = 12) received conventional care. The primary efficacy measure was the level of pain, measured by the Brief Pain Inventory. Findings from this study show that relaxation training supplemented with visual and auditory EMG biofeedback signals is effective in reducing cancer-related pain in advanced cancer patients, possibly through a mechanism of attenuation of physiological arousal. Electromyography biofeedback-assisted relaxation training may be used along with medications for effective pain management in patients with advanced cancer.
大多数晚期癌症患者会经历疼痛。然而,许多癌症患者对传统的疼痛缓解治疗并不满意。本研究考察了肌电图(EMG)生物反馈辅助放松对晚期癌症患者癌症相关疼痛的影响。我们假设额肌肌电活动的变化是肌电图生物反馈辅助放松疗效的基础。这是一项随机对照研究。实验组(n = 12)在4周内接受6次肌电图生物反馈辅助放松治疗,而对照组(n = 12)接受常规护理。主要疗效指标是疼痛程度,通过简明疼痛量表进行测量。本研究结果表明,辅以视觉和听觉肌电图生物反馈信号的放松训练可有效减轻晚期癌症患者的癌症相关疼痛,其机制可能是通过减弱生理唤醒。肌电图生物反馈辅助放松训练可与药物联合使用,用于晚期癌症患者的有效疼痛管理。