Usefulness of the DN4, S-LANSS, and painDETECT screening questionnaires to detect the neuropathic pain components in people with acute whiplash-associated disorders: a cross-sectional study

DN4、S-LANSS 和 painDETECT 筛查问卷在检测急性颈椎挥鞭样损伤相关疾病患者的神经性疼痛成分方面的应用价值:一项横断面研究

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Abstract

OBJECTIVE: Although the presence of neuropathic pain (NP) components has been reported in whiplash-associated disorders (WAD), no studies have analyzed the usefulness of NP screening questionnaires to detect NP components in WAD. This study aimed to assess the usefulness of 3 NP screening tools (Douleur Neuropathique 4 [DN4], self-administered Leeds Assessment of Neuropathic Symptoms and Signs [S-LANSS], and painDETECT questionnaire [PDQ]) to detect the presence of NP components in acute WAD. DESIGN: A cross-sectional study. SETTING: Hospital. SUBJECTS: Of 188 eligible individuals, 50 people (68% women, mean age = 40.3 ± 12.5 years) with acute WAD (52% Grade III) were included. METHODS: Specialized physicians initially screened participants for the presence of NP components according to clinical practice and international recommendations. After physician assessment, blinded investigators used NP screening questionnaires (DN4, S-LANSS, and PDQ) to assess participants within 2 weeks of their accident. The diagnostic accuracy of these tools was analyzed and compared with the reference standard (physicians' assessments). RESULTS: The 3 screening questionnaires showed excellent discriminant validity (area under the curve: ≥0.8), especially S-LANSS (area under the curve: 0.9; P < .001). DN4 demonstrated the highest sensitivity (87%), followed by S-LANSS (75%), while S-LANSS and PDQ showed the highest specificity (85% and 82%, respectively). These tools demonstrated a strong correlation with the reference standard (S-LANSS: rho = 0.7; PDQ: rho = 0.62; DN4: rho = 0.7; all, P < .001). CONCLUSIONS: The DN4, S-LANSS, and PDQ show excellent discriminant validity to detect the presence of NP components in acute WAD, especially S-LANSS. Initial screening with these tools might improve management of WAD.

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