Literature DB >> 19490032

The Personality Assessment Inventory as a tool for diagnosing psychogenic nonepileptic seizures.

Alexander W Thompson1, Nathan Hantke, Vaishali Phatak, Naomi Chaytor.   

Abstract

Using 184 subjects with valid personality assessment interview (PAI) profiles and video-electroencephalography (VEEG)-confirmed diagnoses of epileptic seizures (ES; n = 109) or psychogenic nonepileptic seizures (PNES; n = 75), we present the diagnostic test performance of the PAI PNES Indicator and other PAI scales when used to differentiate PNES from ES. Subjects with PNES reported significantly higher somatic, conversion, depressed, anxious, and suicidal symptoms. As a diagnostic tool, the PNES Indicator does not add additional accuracy beyond the conversion subscale (SOM-C). The somatization (SOM-S) and physiological depression (DEP-P) subscales perform as well as the SOM-C subscale. The SOM-C scale (cut point > or =70) was 58.7% sensitive and 83.5% specific at diagnosing PNES. Assuming a 30% prevalence of PNES, the SOM-C scale has a positive predictive value (PPV) of 60.4% and negative predictive value (NPV) of 82.5%. Overall, the PAI SOM-C subscale does not appear more accurate than other psychometric tests used to differentiate PNES from ES.

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Year:  2009        PMID: 19490032      PMCID: PMC2844915          DOI: 10.1111/j.1528-1167.2009.02151.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  6 in total

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Review 4.  EEG in epilepsy: current perspectives.

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6.  Using the Minnesota Multiphasic Inventory 2, EEGs, and clinical data to predict nonepileptic events.

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  6 in total
  3 in total

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Journal:  CNS Spectr       Date:  2016-03-21       Impact factor: 3.790

Review 3.  Psychogenic non-epileptic seizures: so-called psychiatric comorbidity and underlying defense mechanisms.

Authors:  Massimiliano Beghi; Paola Beffa Negrini; Cecilia Perin; Federica Peroni; Adriana Magaudda; Cesare Cerri; Cesare Maria Cornaggia
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  3 in total

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