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基于机制的肌肉骨骼疼痛分类:第3部分之第2部分:腰(±腿)痛患者外周神经病理性疼痛的症状和体征

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

作者信息

Smart Keith M, Blake Catherine, Staines Anthony, Thacker Mick, Doody Catherine

机构信息

Physiotherapy Department, St Vincent's University Hospital, Elm Park, Dublin 4, Ireland.

出版信息

Man Ther. 2012 Aug;17(4):345-51. doi: 10.1016/j.math.2012.03.003. Epub 2012 Mar 31.

DOI:10.1016/j.math.2012.03.003
PMID:22465002
Abstract

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.

摘要

“外周神经性疼痛”(PNP)作为一种基于机制的疼痛分类,是指由外周神经系统的原发性病变或功能障碍引起的疼痛。在接受物理治疗的患者中,与假定占主导地位的PNP相关的症状和体征尚未得到广泛研究。本研究的目的是确定下背部(±腿部)疼痛患者中与PNP临床分类相关的症状和体征。采用横断面、受试者间设计;使用标准化评估方案对464名下背部(±腿部)疼痛患者进行评估。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,临床医生完成一份临床标准清单,明确各种临床标准的存在或不存在。采用贝叶斯模型平均法进行二元逻辑回归分析,确定了一组可预测PNP的两种症状和一种体征,包括:“皮节或皮肤分布区的牵涉痛”、“神经损伤、病理或机械性损伤史”以及“通过移动/加载/压缩神经组织的机械/运动测试(如主动/被动、神经动力测试)诱发疼痛/症状”。发现这一组症状和体征具有较高的分类准确性(敏感性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)。对这一通过经验得出的症状和体征组进行模式识别,可能有助于临床医生识别下背部疼痛障碍患者中假定占主导地位的PNP机制,从而为后续患者管理提供有益的信息。

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