Explorative sensory profile evaluation in central neuropathic pain following spinal cord injury.

IF 3.5 2区 医学 Q1 ANESTHESIOLOGY
G Landmann, M Ernst, E Opsommer, L Stockinger, J Vollert, R Baron
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Abstract

Background: Sensory profiling in neuropathic pain using quantitative sensory testing (QST) has not been extended to central neuropathic pain due to spinal cord injury (SCI). This study aims to fill this gap by evaluating sensory profiles in patients with neuropathic SCI pain.

Method: We retrospectively analysed consecutive QST data from 62 patients with neuropathic spinal cord injury pain (SCIP), following the German Research Network on Neuropathic Pain protocol. The study included at-level and below-level SCIP due to a spinal cord lesion, and at-level SCIP following a cauda equina lesion. QST parameters were compared between diagnostic groups. QST profiles of below-level SCIP (central neuropathic pain) were manually assigned to sensory phenotypes based on literature and expert opinion.

Results: No statistical difference in QST parameters between pain diagnoses was found. For central neuropathic pain (below-level SCIP), three phenotypes were descriptively observed: loss of function (59%), thermal and mechanical hyperalgesia combination (16%), and mechanical hyperalgesia (19%). The remaining 5% of patients did not fit a common pattern. There was no statistical difference in clinical and psychological variables between phenotypes. In a subgroup analysis, the loss of function phenotype weakly correlated with older age, longer time since injury, and longer pain duration.

Conclusions: Here, we capture sensory phenotypes of central neuropathic pain following SCI. The limited sample size, high rate of missing values, and the retrospective nature of the study mean that results should be seen as strictly exploratory. Further research should replicate these findings and explore the significance of phenotypes.

Significance statement: The evaluation of sensory phenotypes by quantitative sensory testing in central neuropathic pain due to SCI adds a new perspective on sensory phenotypes in comparison to peripheral neuropathic pain. The described thermal and mechanical hyperalgesia combination might represent involvement of the spinothalamic tract. In addition, there was a trend towards older age and longer time since injury in patients with loss of function.

脊髓损伤后中枢神经病理痛的探索性感觉特征评估。
背景:使用定量感觉测试(QST)对神经病理性疼痛进行感觉分析的方法尚未扩展至脊髓损伤(SCI)引起的中枢神经病理性疼痛。本研究旨在通过评估 SCI 神经病理性疼痛患者的感觉特征来填补这一空白:我们按照德国神经性疼痛研究网络的协议,回顾性分析了 62 名神经性脊髓损伤疼痛(SCIP)患者的连续 QST 数据。研究对象包括因脊髓病变引起的脊髓损伤性疼痛(SCIP)的一级和二级以下患者,以及因马尾神经损伤引起的脊髓损伤性疼痛(SCIP)的一级患者。对各诊断组的 QST 参数进行了比较。根据文献和专家意见,人工将水平以下 SCIP(中枢神经病理痛)的 QST 特征归入感觉表型:结果:不同疼痛诊断之间的 QST 参数没有统计学差异。对于中枢性神经病理性疼痛(低于 SCIP 级别),描述性地观察到三种表型:功能丧失(59%)、热痛和机械性痛觉减退(16%)以及机械性痛觉减退(19%)。其余 5%的患者不符合共同模式。表型之间的临床和心理变量没有统计学差异。在一项亚组分析中,功能丧失表型与年龄较大、受伤时间较长和疼痛持续时间较长呈弱相关:在这里,我们捕捉到了脊髓损伤后中枢神经病理痛的感觉表型。由于样本量有限、缺失率高以及研究的回顾性,研究结果应严格视为探索性的。进一步的研究应复制这些结果并探索表型的意义:通过定量感觉测试对 SCI 引起的中枢神经病理痛的感觉表型进行评估,为感觉表型与周围神经痛的比较增添了新的视角。所描述的热痛和机械痛结合可能代表脊髓丘脑束受累。此外,功能丧失患者的年龄有增大的趋势,受伤后的时间也有延长的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Pain
European Journal of Pain 医学-临床神经学
CiteScore
7.50
自引率
5.60%
发文量
163
审稿时长
4-8 weeks
期刊介绍: European Journal of Pain (EJP) publishes clinical and basic science research papers relevant to all aspects of pain and its management, including specialties such as anaesthesia, dentistry, neurology and neurosurgery, orthopaedics, palliative care, pharmacology, physiology, psychiatry, psychology and rehabilitation; socio-economic aspects of pain are also covered. Regular sections in the journal are as follows: • Editorials and Commentaries • Position Papers and Guidelines • Reviews • Original Articles • Letters • Bookshelf The journal particularly welcomes clinical trials, which are published on an occasional basis. Research articles are published under the following subject headings: • Neurobiology • Neurology • Experimental Pharmacology • Clinical Pharmacology • Psychology • Behavioural Therapy • Epidemiology • Cancer Pain • Acute Pain • Clinical Trials.
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