一种用于预测术后疼痛(PPOP)的实验范式。

An experimental paradigm for the prediction of Post-Operative Pain (PPOP).

作者信息

Landau Ruth, Kraft John C, Flint Lisa Y, Carvalho Brendan, Richebé Philippe, Cardoso Monica, Lavand'homme Patricia, Granot Michal, Yarnitsky David, Cahana Alex

机构信息

Department of Anesthesiology and Pain Medicine, University of Washington School of Medicine, USA.

出版信息

J Vis Exp. 2010 Jan 27(35):1671. doi: 10.3791/1671.

Abstract

Many women undergo cesarean delivery without problems, however some experience significant pain after cesarean section. Pain is associated with negative short-term and long-term effects on the mother. Prior to women undergoing surgery, can we predict who is at risk for developing significant postoperative pain and potentially prevent or minimize its negative consequences? These are the fundamental questions that a team from the University of Washington, Stanford University, the Catholic University in Brussels, Belgium, Santa Joana Women's Hospital in São Paulo, Brazil, and Rambam Medical Center in Israel is currently evaluating in an international research collaboration. The ultimate goal of this project is to provide optimal pain relief during and after cesarean section by offering individualized anesthetic care to women who appear to be more 'susceptible' to pain after surgery. A significant number of women experience moderate or severe acute post-partum pain after vaginal and cesarean deliveries. (1) Furthermore, 10-15% of women suffer chronic persistent pain after cesarean section. (2) With constant increase in cesarean rates in the US (3) and the already high rate in Brazil, this is bound to create a significant public health problem. When questioning women's fears and expectations from cesarean section, pain during and after it is their greatest concern. (4) Individual variability in severity of pain after vaginal or operative delivery is influenced by multiple factors including sensitivity to pain, psychological factors, age, and genetics. The unique birth experience leads to unpredictable requirements for analgesics, from 'none at all' to 'very high' doses of pain medication. Pain after cesarean section is an excellent model to study post-operative pain because it is performed on otherwise young and healthy women. Therefore, it is recommended to attenuate the pain during the acute phase because this may lead to chronic pain disorders. The impact of developing persistent pain is immense, since it may impair not only the ability of women to care for their child in the immediate postpartum period, but also their own well being for a long period of time. In a series of projects, an international research network is currently investigating the effect of pregnancy on pain modulation and ways to predict who will suffer acute severe pain and potentially chronic pain, by using simple pain tests and questionnaires in combination with genetic analysis. A relatively recent approach to investigate pain modulation is via the psychophysical measure of Diffuse Noxious Inhibitory Control (DNIC). This pain-modulating process is the neurophysiological basis for the well-known phenomenon of 'pain inhibits pain' from remote areas of the body. The DNIC paradigm has evolved recently into a clinical tool and simple test and has been shown to be a predictor of post-operative pain.(5) Since pregnancy is associated with decreased pain sensitivity and/or enhanced processes of pain modulation, using tests that investigate pain modulation should provide a better understanding of the pathways involved with pregnancy-induced analgesia and may help predict pain outcomes during labor and delivery. For those women delivering by cesarean section, a DNIC test performed prior to surgery along with psychosocial questionnaires and genetic tests should enable one to identify women prone to suffer severe post-cesarean pain and persistent pain. These clinical tests should allow anesthesiologists to offer not only personalized medicine to women with the promise to improve well-being and satisfaction, but also a reduction in the overall cost of perioperative and long term care due to pain and suffering. On a larger scale, these tests that explore pain modulation may become bedside screening tests to predict the development of pain disorders following surgery.

摘要

许多女性剖宫产过程顺利,但也有一些女性在剖宫产后会经历严重疼痛。疼痛会给母亲带来短期和长期的负面影响。在女性接受手术前,我们能否预测谁有发生严重术后疼痛的风险,并有可能预防或尽量减少其负面影响?华盛顿大学、斯坦福大学、比利时布鲁塞尔天主教大学、巴西圣保罗圣若阿娜妇女医院以及以色列兰巴姆医疗中心的一个团队目前正在一项国际研究合作中评估这些基本问题。该项目的最终目标是通过为那些术后似乎更容易“疼痛敏感”的女性提供个性化麻醉护理,在剖宫产期间及术后提供最佳的疼痛缓解。大量女性在顺产和剖宫产后会经历中度或重度急性产后疼痛。(1)此外,10% - 15%的女性在剖宫产后会遭受慢性持续性疼痛。(2)随着美国剖宫产率的不断上升(3)以及巴西已经很高的剖宫产率,这必然会造成一个重大的公共卫生问题。当询问女性对剖宫产的恐惧和期望时,术中及术后的疼痛是她们最关心的问题。(4)顺产或手术分娩后疼痛严重程度的个体差异受多种因素影响,包括疼痛敏感性、心理因素、年龄和遗传因素。独特的分娩经历导致对镇痛药的需求难以预测,从“完全不需要”到“非常高剂量”的止痛药。剖宫产后疼痛是研究术后疼痛的一个绝佳模型,因为手术对象是原本年轻健康的女性。因此,建议在急性期减轻疼痛,因为这可能导致慢性疼痛疾病。持续性疼痛的影响是巨大的,因为它不仅可能损害女性在产后立即照顾孩子的能力,还会在很长一段时间内影响她们自身的幸福感。在一系列项目中,一个国际研究网络目前正在研究怀孕对疼痛调节的影响,以及通过结合简单的疼痛测试、问卷和基因分析来预测谁会遭受急性剧痛和潜在慢性疼痛的方法。一种相对较新的研究疼痛调节的方法是通过弥散性伤害性抑制控制(DNIC)的心理物理学测量。这种疼痛调节过程是身体远端区域“疼痛抑制疼痛”这一著名现象的神经生理基础。DNIC范式最近已发展成为一种临床工具和简单测试,并已被证明是术后疼痛的一个预测指标。(5)由于怀孕与疼痛敏感性降低和/或疼痛调节过程增强有关,使用研究疼痛调节的测试应该能更好地理解与怀孕诱导的镇痛相关的途径,并可能有助于预测分娩期间和分娩时的疼痛结果。对于那些剖宫产的女性,术前进行的DNIC测试以及心理社会问卷和基因测试应该能够识别出容易遭受严重剖宫产后疼痛和持续性疼痛的女性。这些临床测试不仅应该使麻醉医生能够为女性提供个性化医疗,有望改善她们的幸福感和满意度,还能降低因疼痛和痛苦导致的围手术期和长期护理的总体成本。从更大范围来看,这些探索疼痛调节的测试可能会成为预测术后疼痛障碍发生的床边筛查测试。

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