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• W2916615735 abstract "Diagnostic screening for functional neurological disorders (FNDs) continues to pose a challenge. Simple symptom counts fail clearly to discriminate patients with FND but there is increasing recognition of ‘positive’ features which are useful diagnostically during face-to-face assessments. A self-completed questionnaire evaluating specific features of FNDs would be useful for screening purposes in clinical and research settings. The Edinburgh Neurosymptoms Questionnaire (ENS) is a 30-item survey of presence and nature of: blackouts, weakness, hemisensory syndrome, memory problems, tremor, pain, fatigue, globus, multiple medical problems, and operations constructed via literature review and expert consensus. We conducted a pilot of the ENS on new general neurology clinic attendees at a large regional neuroscience centre. Patients were grouped according to consultant neurologist impression as having symptoms that were ‘Not at all’, ’Somewhat’, ’Largely’ or ’Completely’ due to a functional disorder. Blackouts, weakness and memory questions provided reasonable diagnostic utility (AUROC = 0.94, 0.71, 0.74 respectively) in single symptom analysis. All other symptoms lacked discriminating features. A multivariate linear model with all symptoms predicted functional classification with moderate diagnostic utility (AUROC = 0.83), specificity of 0.97, sensitivity of 0.47. Pain and blackout scores provided the most accurate predictor of functional classification. The ENS questionnaire provides some utility in differentiating patients presenting with functional blackouts but failed to provide diagnostic value in other types of FND, highlighting the limitations of this self-report tool." @default.
• W2916615735 created "2019-03-02" @default.
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• W2916615735 date "2019-04-01" @default.
• W2916615735 modified "2023-10-14" @default.
• W2916615735 title "Screening for functional neurological disorders by questionnaire" @default.
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• W2916615735 doi "https://doi.org/10.1016/j.jpsychores.2019.02.005" @default.
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