| Using the Minnesota Multiphasic Inventory 2, EEGs, and clinical data to predict nonepileptic events. | |
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MedLine Citation:
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PMID: 17904912 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Minnesota Multiphasic Inventory 2 (MMPI-2) scale 3, duration of illness, and routine EEGs have been used to predict nonepileptic events (NEEs) with a high degree of accuracy in patients referred for video/EEG (vEEG) monitoring. This study tested the Storzbach logistic regression equation in our patients with definitive epileptic seizures (n=57) or NEEs without evidence of epileptiform activity (n=51) during vEEG monitoring, yielding an overall classification accuracy of 81%, sensitivity of 80%, and specificity of 81%. This study also replicated previous findings of significant group differences in duration (years) of spells, number of elevations on the MMPI-2, MMPI-2 elevations on scales 1, 2, 3, and 8, and incidence of the conversion valley on the MMPI-2. Our findings indicated that combined use of the MMPI-2 and clinical variables was most predictive of patients with NEEs. |
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Authors:
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Carol J Schramke; April Valeri; James P Valeriano; Kevin M Kelly |
Publication Detail:
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Type: Journal Article Date: 2007-09-29 |
Journal Detail:
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Title: Epilepsy & behavior : E&B Volume: 11 ISSN: 1525-5050 ISO Abbreviation: Epilepsy Behav Publication Date: 2007 Nov |
Date Detail:
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Created Date: 2007-11-12 Completed Date: 2008-02-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100892858 Medline TA: Epilepsy Behav Country: United States |
Other Details:
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Languages: eng Pagination: 343-6 Citation Subset: IM |
Affiliation:
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Allegheny General Hospital, Department of Neurology, Pittsburgh, PA 15212, USA. cschramk@wpahs.org |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Electroencephalography / methods* Epilepsy / classification, diagnosis*, physiopathology*, psychology* Female Humans Logistic Models MMPI* Male Middle Aged Predictive Value of Tests Retrospective Studies Sensitivity and Specificity Videotape Recording / methods |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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