慢性术后疼痛的预测:术前下行性疼痛抑制控制(DNIC)测试可识别有风险的患者。
Prediction of chronic post-operative pain: pre-operative DNIC testing identifies patients at risk.
作者信息
Yarnitsky David, Crispel Yonathan, Eisenberg Elon, Granovsky Yelena, Ben-Nun Alon, Sprecher Elliot, Best Lael-Anson, Granot Michal
机构信息
Department of Neurology, Rambam Health Care Campus, and Laboratory of Clinical Neurophysiology, Faculty of Medicine, Technion, Israel Pain Relief Unit, Rambam Health Care Campus, and Faculty of Medicine, Technion, Israel Department of Thoracic Surgery, Rambam Health Care Campus, and Faculty of Medicine, Technion, Israel Faculty of Social Welfare and Health Studies, University of Haifa, Haifa, Israel.
出版信息
Pain. 2008 Aug 15;138(1):22-28. doi: 10.1016/j.pain.2007.10.033. Epub 2008 Jan 8.
Surgical and medical procedures, mainly those associated with nerve injuries, may lead to chronic persistent pain. Currently, one cannot predict which patients undergoing such procedures are 'at risk' to develop chronic pain. We hypothesized that the endogenous analgesia system is key to determining the pattern of handling noxious events, and therefore testing diffuse noxious inhibitory control (DNIC) will predict susceptibility to develop chronic post-thoracotomy pain (CPTP). Pre-operative psychophysical tests, including DNIC assessment (pain reduction during exposure to another noxious stimulus at remote body area), were conducted in 62 patients, who were followed 29.0+/-16.9 weeks after thoracotomy. Logistic regression revealed that pre-operatively assessed DNIC efficiency and acute post-operative pain intensity were two independent predictors for CPTP. Efficient DNIC predicted lower risk of CPTP, with OR 0.52 (0.33-0.77 95% CI, p=0.0024), i.e., a 10-point numerical pain scale (NPS) reduction halves the chance to develop chronic pain. Higher acute pain intensity indicated OR of 1.80 (1.28-2.77, p=0.0024) predicting nearly a double chance to develop chronic pain for each 10-point increase. The other psychophysical measures, pain thresholds and supra-threshold pain magnitudes, did not predict CPTP. For prediction of acute post-operative pain intensity, DNIC efficiency was not found significant. Effectiveness of the endogenous analgesia system obtained at a pain-free state, therefore, seems to reflect the individual's ability to tackle noxious events, identifying patients 'at risk' to develop post-intervention chronic pain. Applying this diagnostic approach before procedures that might generate pain may allow individually tailored pain prevention and management, which may substantially reduce suffering.
外科手术和医疗程序,主要是那些与神经损伤相关的,可能会导致慢性持续性疼痛。目前,无法预测哪些接受此类手术的患者有发展为慢性疼痛的“风险”。我们假设内源性镇痛系统是决定处理伤害性事件模式的关键,因此测试弥漫性伤害性抑制控制(DNIC)将预测开胸术后慢性疼痛(CPTP)的易感性。对62例患者进行了术前心理物理学测试,包括DNIC评估(在身体远处区域暴露于另一种伤害性刺激时的疼痛减轻),这些患者在开胸术后29.0±16.9周接受随访。逻辑回归显示,术前评估的DNIC效率和术后急性疼痛强度是CPTP的两个独立预测因素。有效的DNIC预测CPTP风险较低,比值比为0.52(95%可信区间0.33-0.77,p=0.0024),即数字疼痛量表(NPS)降低10分可使发生慢性疼痛的几率减半。较高的急性疼痛强度表明比值比为1.80(1.28-2.77,p=0.0024),预测每增加10分发生慢性疼痛的几率几乎翻倍。其他心理物理学指标,疼痛阈值和阈上疼痛强度,不能预测CPTP。对于术后急性疼痛强度的预测,未发现DNIC效率有显著意义。因此,在无痛状态下获得的内源性镇痛系统的有效性似乎反映了个体应对伤害性事件的能力,识别出有发生干预后慢性疼痛“风险”的患者。在可能产生疼痛的手术前应用这种诊断方法,可以实现个性化的疼痛预防和管理,这可能会大幅减轻痛苦。