Spinal Cord Injury Center, Heidelberg University Hospital, Heidelberg, Germany.
Neurology, Yong Loo Lin School of Medicine, National University Singapore, Singapore.
Eur J Pain. 2017 Nov;21(10):1642-1656. doi: 10.1002/ejp.1069. Epub 2017 Jun 27.
Neuropathic pain (NeuP) is a frequent sequel of spinal cord injury (SCI). The SCI Pain Instrument (SCIPI) was developed as a SCI-specific NeuP screening tool. A preliminary validation reported encouraging results requiring further evaluation in terms of psychometric properties. The painDETECT questionnaire (PDQ), a commonly applied NeuP assessment tool, was primarily validated in German, but not specifically developed for SCI and not yet validated according to current diagnostic guidelines. We aimed to provide convergent construct validity and to identify the optimal item combination for the SCIPI. The PDQ was re-evaluated according to current guidelines with respect to SCI-related NeuP.
Prospective monocentric study. Subjects received a neurological examination according to the International Standards for Neurological Classification of SCI. After linguistic validation of the SCIPI, the IASP-grading system served as reference to diagnose NeuP, accompanied by the PDQ after its re-evaluation as binary classifier. Statistics were evaluated through ROC-analysis, with the area under the ROC curve (AUROC) as optimality criterion. The SCIPI was refined by systematic item permutation.
Eighty-eight individuals were assessed with the German SCIPI. Of 127 possible combinations, a 4-item-SCIPI (cut-off-score = 1.5/sensitivity = 0.864/specificity = 0.839) was identified as most reasonable. The SCIPI showed a strong correlation (r = 0.76) with PDQ. ROC-analysis of SCIPI/PDQ (AUROC = 0.877) revealed comparable results to SCIPI/IASP (AUROC = 0.916). ROC-analysis of PDQ/IASP delivered a score threshold of 10.5 (sensitivity = 0.727/specificity = 0.903).
The SCIPI is a valid easy-to-apply NeuP screening tool in SCI. The PDQ is recommended as complementary NeuP assessment tool in SCI, e.g. to monitor pain severity and/or its time-dependent course.
In SCI-related pain, both SCIPI and PainDETECT show strong convergent construct validity versus the current IASP-grading system. SCIPI is now optimized from a 7-item to an easy-to-apply 4-item screening tool in German and English. We provided evidence that the scope for PainDETECT can be expanded to individuals with SCI.
神经性疼痛(NeuP)是脊髓损伤(SCI)的常见后遗症。SCI 疼痛量表(SCIPI)是一种专门用于筛查 SCI 相关神经性疼痛的工具。初步验证结果令人鼓舞,但仍需要进一步评估其心理测量特性。疼痛 DETECT 问卷(PDQ)是一种常用的神经性疼痛评估工具,最初在德语中得到验证,但不是专门为 SCI 开发的,也尚未根据当前的诊断指南进行验证。我们旨在提供 SCIPI 的收敛结构效度,并确定最佳的项目组合。PDQ 根据当前的 SCI 相关 NeuP 指南进行了重新评估。
前瞻性单中心研究。受试者接受了根据国际 SCI 神经分类标准进行的神经系统检查。在 SCIPI 进行语言验证后,IASP 分级系统作为诊断 NeuP 的参考,并在重新评估后作为二进制分类器使用 PDQ。通过 ROC 分析评估统计数据,以 ROC 曲线下面积(AUROC)作为最优标准。通过系统的项目排列对 SCIPI 进行了优化。
对 88 名德国 SCIPI 进行了评估。在 127 种可能的组合中,确定了 4 项 SCIPI(临界值=1.5/敏感性=0.864/特异性=0.839)作为最合理的组合。SCIPI 与 PDQ 呈强相关性(r=0.76)。SCIPI/PDQ 的 ROC 分析(AUROC=0.877)与 SCIPI/IASP 的结果相当(AUROC=0.916)。PDQ/IASP 的 ROC 分析得出的评分阈值为 10.5(敏感性=0.727/特异性=0.903)。
SCIPI 是一种有效的、易于应用的 SCI 神经性疼痛筛查工具。PDQ 被推荐作为 SCI 神经性疼痛的补充评估工具,例如监测疼痛的严重程度和/或其时间依赖性。
在 SCI 相关疼痛中,SCIPI 和 PainDETECT 与当前的 IASP 分级系统相比均具有较强的收敛结构效度。SCIPI 已从德语和英语的 7 项优化为易于应用的 4 项筛查工具。我们提供的证据表明,PainDETECT 的适用范围可以扩大到 SCI 患者。