Faculty of Medical Sciences, University College London, London, UK.
Eastman Dental Institute, UCLH NHS Foundation Trust, London, UK.
J Headache Pain. 2018 Nov 6;19(1):103. doi: 10.1186/s10194-018-0932-5.
Better tools are required for the earlier identification and management of orofacial pain with different aetiologies. The painDETECT questionnaire is a patient-completed screening tool with utility for identification of neuropathic pain in a range of contexts. 254 patients, referred from primary care for management of orofacial pain and attending a secondary care centre, were prospectively recruited, and completed the painDETECT prior to consultation. The aim of this study was to determine the accuracy of the painDETECT to detect neuropathic components of orofacial pain, when compared to a reference standard of clinical diagnosis by experienced physicians, in a cohort of hospital-based patients.
For the 251 patients included in the analysis, the painDETECT had a modest ability to detect neuropathic components of orofacial pain (AUROC, 0.63; 95% CI, 0.58-0.70; p = 0.001). Patients with orofacial pain diagnoses associated with neuropathic components had higher painDETECT scores than those with non-neuropathic components. However, the painDETECT was weaker at distinguishing patients with mixed pain types, and multiple diagnoses were associated with poor accuracy of the painDETECT.
In secondary care settings, the painDETECT performed modestly at identifying neuropathic components, and underestimates the complexity of orofacial pain in its mixed presentations and with multiple diagnoses. Prior to clinical applications or research use, the painDETECT and other generic screening tools must be adapted and revalidated for orofacial pain patients, and separately in primary care, where orofacial pain is considerably less common.
需要更好的工具来更早地识别和管理具有不同病因的口腔颌面部疼痛。疼痛 DETECT 问卷是一种患者自行完成的筛查工具,可用于识别多种情况下的神经病理性疼痛。254 名因口腔颌面部疼痛就诊于二级医疗机构的患者被前瞻性招募,并在就诊前完成疼痛 DETECT。本研究的目的是确定疼痛 DETECT 在医院患者队列中与经验丰富的医生临床诊断的参考标准相比,检测口腔颌面部疼痛的神经病理性成分的准确性。
对于纳入分析的 251 名患者,疼痛 DETECT 检测口腔颌面部疼痛的神经病理性成分的能力中等(AUROC,0.63;95%CI,0.58-0.70;p=0.001)。具有神经病理性成分的口腔颌面部疼痛诊断的患者疼痛 DETECT 评分高于无神经病理性成分的患者。然而,疼痛 DETECT 在区分混合疼痛类型的患者方面较弱,并且多种诊断与疼痛 DETECT 的准确性差相关。
在二级医疗机构中,疼痛 DETECT 在识别神经病理性成分方面表现中等,并且低估了混合表现和多种诊断的口腔颌面部疼痛的复杂性。在临床应用或研究使用之前,疼痛 DETECT 和其他通用筛查工具必须针对口腔颌面部疼痛患者进行调整和重新验证,并且在口腔颌面部疼痛相对较少的初级保健机构中单独进行验证。