Evidence-Based Practice for the Clinical Assessment of Psychogenic Nonepileptic Seizures: A Report From the American Neuropsychiatric Association Committee on Research
| Autor: | Mandana Modirrousta, Gaston Baslet, Selma Aybek, Andrea E. Cavanna, Sepideh N. Bajestan, David L. Perez, Geoffrey Raynor, Jason Price D.Clin.Psy., W. Curt LaFrance, Valerie Voon, Shelby Scott Lazarow, Simon Ducharme |
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| Přispěvatelé: | Baslet, G, Bajestan, S, Aybek, S, Modirrousta, M, Price, J, Cavanna, A, Perez, D, Lazarow, S, Raynor, G, Voon, V, Ducharme, S, LaFrance WC, J |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Functional Neurological Disorder
medicine.medical_specialty Evidence-based practice Comorbidity Electroencephalography 03 medical and health sciences 0302 clinical medicine Seizures medicine Psychogenic disease Humans Somatoform Disorders 610 Medicine & health Conversion disorder medicine.diagnostic_test business.industry Gold standard Neuropsychology Semiology medicine.disease Seizure Psychophysiologic Disorders 030227 psychiatry Psychiatry and Mental health Conversion Disorder Evidence-Based Practice Psychogenic Nonepileptic Seizure Neurology (clinical) Personality Assessment Inventory business 030217 neurology & neurosurgery Clinical psychology Systematic Reviews as Topic |
| DOI: | 10.7892/boris.147392 |
| Popis: | The American Neuropsychiatric Association’s Committee on Research assigned the task of defining the most helpful clinical factors and tests in establishing the diagnosis of psychogenic nonepileptic seizures (PNES) during a neuro-psychiatric assessment. A systematic review of the literature was conducted using three search engines and specified search terms for PNES and the predetermined clinical factors and diagnostic tests, followed by a selection process with specific criteria. Data extraction results from selected articles are presented for clinical factors (semiology, psychiatric comorbidities, medical comorbidities, psychological traits) and diagnostic tests (EEG, psychometric and neuropsychological measures, prolactin level, clinical neu-roimaging, autonomic testing). Semiology with video EEG (vEEG) remains the most valuable tool to determine the diagnosis of PNES. With the exception of semiology, very few studies revealed the predictive value of a clinical factor for PNES, and such findings were isolated and not replicated in most cases. Induction techniques, especially when coupled with vEEG, can lead to a captured event, which then con-firms the diagnosis. In the absence of a captured event, postevent prolactin level and personality assessment can support the diagnosis but need to be carefully contextual-ized with other clinical factors. A comprehensive clinical assessment in patients with suspected PNES can identify several clinical factors and may include a number of tests that can support the diagnosis of PNES. This is especially relevant when the gold standard of a captured event with typical semiology on vEEG cannot be obtained. |
| Databáze: | OpenAIRE |
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