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多发性硬化症中枢神经性疼痛的独特特征:聚类分析的结果。

Unique features of central neuropathic pain in multiple sclerosis: Results of a cluster analysis.

机构信息

Department of Physical Therapy, School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel.

Sagol School of Neuroscience, Tel Aviv University, Tel Aviv-Yafo, Israel.

出版信息

Eur J Pain. 2022 May;26(5):1107-1122. doi: 10.1002/ejp.1934. Epub 2022 Mar 22.

Abstract

BACKGROUND

Central neuropathic pain (CNP) is an excruciating condition, prevalent in up to a third of patients with multiple sclerosis (MS). Identifying CNP among MS patients is particularly challenging considering the ample comorbid chronic pain conditions and sensory disturbances entailed by the disease. The aim was to identify sensory features unique to CNP beyond those of chronic pain and MS.

METHODS

Participants were 112 MS patients: 44 with a diagnosis of CNP, 28 with a diagnosis of chronic musculoskeletal pain (MSP), and 40 pain free. Participants underwent testing of thermal and mechanical thresholds, thermal grill illusion (TGI), pain adaptation (PA), and offset analgesia (OA), and chronic pain was characterized. A two-step cluster analysis was performed, and the association between the cluster membership and the clinical group membership (CNP, MSP, pain free) was evaluated.

RESULTS

The CNP and MSP groups were similar in most of the chronic pain variables (e.g., severity, location and quality) and MS-related variables (e.g., type, severity and medication intake). The three created clusters had unique sensory features: (1) 'Hyposensitivity' (increased thermal and touch thresholds) characterized the CNP group; (2) 'Poor inhibition and hyperalgesia' (worst PA and OA and decreased TGI threshold) characterized the MSP group; and (3) 'Efficient inhibition' (best PA and OA, smallest sensory loss) characterized the pain-free group.

CONCLUSIONS

The unique sensory features of CNP and MSP provide insight into their pathophysiology, and evaluating them may increase the ability to provide individually based interventions. Efficient inhibition may protect MS patients from chronic pain.

SIGNIFICANCE

Cluster analysis among patients with multiple sclerosis (MS) revealed that while central neuropathic pain is associated with thermal and mechanical hypoesthesia, musculoskeletal pain is involved with reduced pain inhibition and hyperalgesia; sensory profiles that provide insights into the mechanisms of these conditions and may promote an individually based pain management.

摘要

背景

中枢神经性疼痛(CNP)是一种剧痛,在多达三分之一的多发性硬化症(MS)患者中普遍存在。鉴于该疾病所带来的大量并存的慢性疼痛状况和感觉障碍,在 MS 患者中识别 CNP 具有特别的挑战性。本研究旨在确定 CNP 特有的感觉特征,这些特征超出了慢性疼痛和 MS 的范畴。

方法

研究对象为 112 名 MS 患者:44 名患有 CNP 诊断,28 名患有慢性肌肉骨骼疼痛(MSP)诊断,40 名无疼痛。参与者接受了热和机械阈值、热格栅错觉(TGI)、疼痛适应(PA)和偏移镇痛(OA)的测试,并对慢性疼痛进行了特征描述。进行了两步聚类分析,并评估了聚类成员与临床分组成员(CNP、MSP、无痛)之间的关联。

结果

CNP 和 MSP 组在大多数慢性疼痛变量(例如,严重程度、位置和质量)和 MS 相关变量(例如,类型、严重程度和药物摄入)方面相似。创建的三个聚类具有独特的感觉特征:(1)“低敏”(热和触觉阈值增加)是 CNP 组的特征;(2)“抑制不良和痛觉过敏”(最差的 PA 和 OA,TGI 阈值降低)是 MSP 组的特征;(3)“抑制有效”(最佳的 PA 和 OA,最小的感觉丧失)是无痛组的特征。

结论

CNP 和 MSP 的独特感觉特征提供了对其病理生理学的深入了解,评估这些特征可能会提高提供基于个体的干预的能力。有效抑制可能会保护 MS 患者免受慢性疼痛的困扰。

意义

对多发性硬化症(MS)患者的聚类分析表明,虽然中枢神经性疼痛与热和机械感觉减退有关,但肌肉骨骼疼痛与疼痛抑制不良和痛觉过敏有关;这些感觉特征提供了对这些疾病机制的深入了解,并可能促进基于个体的疼痛管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac94/9313873/bd6e145c68c7/EJP-26-1107-g002.jpg

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