Using the Minnesota Multiphasic Inventory 2, EEGs, and clinical data to predict nonepileptic events.
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.
Schramke
Carol J
CJ
Allegheny General Hospital, Department of Neurology, Pittsburgh, PA 15212, USA. cschramk@wpahs.org
Valeri
April
A
Valeriano
James P
JP
Kelly
Kevin M
KM
D000328:Adult; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology* / Q000523:psychology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008950:MMPI; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014743:Videotape Recording / Q000379:methods