Literature DB >> 29111502

A simple clinical score for prediction of nonepileptic seizures.

Sindhu R Rao1, Jeremy D Slater1, Giridhar P Kalamangalam2.   

Abstract

Psychogenic nonepileptic seizures (PNES), often mistaken for epilepsy in community practice, require inpatient video-EEG (VEEG) monitoring for diagnostic confirmation. We developed a simple score designed for use in an outpatient setting to predict the subsequent VEEG diagnosis of PNES. We retrospectively compared fifty-five consecutive patients with VEEG-proven PNES (N1=55) with a group of randomly selected patients with VEEG-proven epilepsy (N2=55). Patients were divided into two groups: I) a 'truly retrospective' group of 27 patients with PNES and 27 patients with epilepsy whose data served to develop the score, and II) a 'pseudoprospective' group of 28 patients each with PNES and epilepsy to whom the score was applied. Six features in the history of the Group I cohort appeared more prominent in patients with PNES than patients with epilepsy and were assigned escalating numerical values as follows: number of declared drug allergies (0, 0.5, 1), number of declared comorbidities (0, 0.5, 1), number of previous invasive medical interventions of any type (0, 0.5, 1), and a history of significant psychological or physical trauma (0 or 1). In addition, a score was assigned to verbal description of the seizures themselves as being consistent (=0), atypical (=1), or indeterminate (=0.5) for epilepsy. The values were added to yield an omnibus score ranging from 0 to 6. Scoring of Group II subjects in a blinded fashion revealed that in general patients with PNES had higher scores, and the majority obtained a score >2; most patients with epilepsy scored <1.5. Group difference in the mean between the PNES and epilepsy cohort was highly significant (p<0.0001, Wilcoxon rank-sum test). Our score is a simple clinical instrument based on the patient history that may find use in the triage of patients awaiting hospitalization for VEEG and in pre-VEEG counseling.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Epilepsy monitoring; Psychogenic attacks; Video-EEG

Mesh:

Year:  2017        PMID: 29111502     DOI: 10.1016/j.yebeh.2017.09.005

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  3 in total

1.  Objective score from initial interview identifies patients with probable dissociative seizures.

Authors:  Wesley T Kerr; Emily A Janio; Andrea M Chau; Chelsea T Braesch; Justine M Le; Jessica M Hori; Akash B Patel; Norma L Gallardo; Corinne H Allas; Amir H Karimi; Ishita Dubey; Siddhika S Sreenivasan; Janar Bauirjan; Eric S Hwang; Emily C Davis; Shannon R D'Ambrosio; Mona Al Banna; Rajarshi Mazumder; Ting Wu; Zachary A DeCant; Michael G Gibbs; Edward Chang; Xingruo Zhang; Andrew Y Cho; Nicholas J Beimer; Jerome Engel; Mark S Cohen; John M Stern
Journal:  Epilepsy Behav       Date:  2020-11-13       Impact factor: 2.937

2.  DDESVSFS: A simple, rapid and comprehensive screening tool for the Differential Diagnosis of Epileptic Seizures VS Functional Seizures.

Authors:  Nicholas J Janocko; Jin Jing; Ziwei Fan; Diane L Teagarden; Hannah K Villarreal; Matthew L Morton; Olivia Groover; David W Loring; Daniel L Drane; M Brandon Westover; Ioannis Karakis
Journal:  Epilepsy Res       Date:  2021-01-21       Impact factor: 3.045

3.  Association of Epileptic and Nonepileptic Seizures and Changes in Circulating Plasma Proteins Linked to Neuroinflammation.

Authors:  John M Gledhill; Elizabeth J Brand; John R Pollard; Richard D St Clair; Todd M Wallach; Peter B Crino
Journal:  Neurology       Date:  2021-01-25       Impact factor: 9.910

  3 in total

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