首页> 外文OA文献 >Mechanisms-based classifications of musculoskeletal pain: part 2 of 3: symptoms and signs of peripheral neuropathic pain in patients with low back (± leg) pain.
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Mechanisms-based classifications of musculoskeletal pain: part 2 of 3: symptoms and signs of peripheral neuropathic pain in patients with low back (± leg) pain.

机译:基于机制的肌肉骨骼疼痛分类:第2部分,共3部分:下背部(±腿部)疼痛患者的周围神经性疼痛的症状和体征。

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摘要

As a mechanisms-based classification of pain 'peripheral neuropathic pain' (PNP) refers to pain arising from a primary lesion or dysfunction in the peripheral nervous system. Symptoms and signs associated with an assumed dominance of PNP in patients attending for physiotherapy have not been extensively studied. The purpose of this study was to identify symptoms and signs associated with a clinical classification of PNP in patients with low back (± leg) pain. Using a cross-sectional, between-subjects design; four hundred and sixty-four patients with low back (± leg) pain were assessed using a standardised assessment protocol. Patients' pain was assigned a mechanisms-based classification based on experienced clinical judgement. Clinicians then completed a clinical criteria checklist specifying the presence or absence of various clinical criteria. A binary logistic regression analysis with Bayesian model averaging identified a cluster of two symptoms and one sign predictive of PNP, including: 'Pain referred in a dermatomal or cutaneous distribution', 'History of nerve injury, pathology or mechanical compromise' and 'Pain/symptom provocation with mechanical/movement tests (e.g. Active/Passive, Neurodynamic) that move/load/compress neural tissue'. This cluster was found to have high levels of classification accuracy (sensitivity 86.3%, 95% CI: 78.0-92.3; specificity 96.0%, 95% CI: 93.4-97.8; diagnostic odds ratio 150.9, 95% CI: 69.4-328.1). Pattern recognition of this empirically-derived cluster of symptoms and signs may help clinicians identify an assumed dominance of PNP mechanisms in patients with low back pain disorders in a way that might usefully inform subsequent patient management.
机译:作为基于疼痛的机制分类,“周围神经性疼痛”(PNP)指的是由周围神经系统的原发性病变或功能障碍引起的疼痛。尚未对广泛接受物理疗法的患者中PNP占主导地位的症状和体征进行研究。这项研究的目的是确定与腰痛(±腿)疼痛患者的PNP临床分类相关的症状和体征。采用横断面,主体间设计;使用标准化评估方案评估了644例腰背(±腿)疼痛患者。根据经验丰富的临床判断为患者的疼痛分配基于机制的分类。然后,临床医生应填写一份临床标准清单,详细说明各种临床标准的存在与否。用贝叶斯模型平均进行的二元logistic回归分析确定了一组两种症状和一个PNP预测的征兆,包括:“在皮肤或皮肤分布中引起的疼痛”,“神经损伤,病理或机械折衷的历史”和“疼痛/机械/运动测试(例如主动/被动,神经动力学)的症状激发,从而移动/加载/压缩神经组织。发现该簇具有高水平的分类准确度(灵敏度86.3%,95%CI:78.0-92.3;特异性96.0%,95%CI:93.4-97.8;诊断比值比150.9,95%CI:69.4-328.1)。对这种根据经验得出的症状和体征的模式识别可以帮助临床医生确定下腰痛患者中PNP机制的假定优势,从而可能有助于后续的患者管理。

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