Literature DB >> 27473020

Review of systems questionnaire helps differentiate psychogenic nonepileptic seizures from epilepsy.

Ali A Asadi-Pooya1, Amin H Rabiei2, Jennifer Tinker2, Joseph Tracy2.   

Abstract

We investigated the utility of a very brief review of system (ROS) questionnaire in differentiating psychogenic nonepileptic seizures (PNES) from epilepsy. In this retrospective study, we investigated all patients with PNES admitted to Jefferson Comprehensive Epilepsy Center from October 2013 through April 2015. Patients with a confirmed diagnosis of PNES or epilepsy based on video-EEG monitoring were included. These were matched with respect to age and sex. All patients had a brief ROS questionnaire in their electronic charts. The questionnaire included 10 general yes/no questions about the presence or absence of any abnormality in body systems. Thirty patients with PNES and 30 patients with epilepsy were investigated. The mean of ROS responses for the presence of any abnormality (±standard deviation) for the PNES group was 2.43 (±1.33) and for the epilepsy group was 1.50 (±0.94) (p=0.01). Cut-off point of three positive ROS was able to differentiate these two conditions from each another (p=0.01; OR: 6, 95% confidence interval: 1.48-24.29). Presence of multiple complaints in the ROS questionnaire argues in favor of PNES compared with epilepsy. This brief and easy to apply ROS questionnaire may be used as a valuable ancillary tool to differentiate PNES from epilepsy during the initial screening visit. This may help prevent the delay in making the diagnosis.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diagnosis; Epilepsy; Psychogenic nonepileptic seizures; Questionnaire; Review of systems

Mesh:

Year:  2016        PMID: 27473020     DOI: 10.1016/j.jocn.2016.05.037

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  5 in total

1.  Diagnostic implications of review-of-systems questionnaires to differentiate epileptic seizures from psychogenic seizures.

Authors:  Wesley T Kerr; Emily A Janio; Chelsea T Braesch; Justine M Le; Jessica M Hori; Akash B Patel; Sarah E Barritt; Norma L Gallardo; Janar Bauirjan; Andrea M Chau; Eric S Hwang; Emily C Davis; David Torres-Barba; Andrew Y Cho; Jerome Engel; Mark S Cohen; John M Stern
Journal:  Epilepsy Behav       Date:  2017-02-23       Impact factor: 2.937

2.  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

3.  An objective score to identify psychogenic seizures based on age of onset and history.

Authors:  Wesley T Kerr; Emily A Janio; Chelsea T Braesch; Justine M Le; Jessica M Hori; Akash B Patel; Norma L Gallardo; Janar Bauirjan; Andrea M Chau; Eric S Hwang; Emily C Davis; Albert Buchard; David Torres-Barba; Shannon D'Ambrosio; Mona Al Banna; Andrew Y Cho; Jerome Engel; Mark S Cohen; John M Stern
Journal:  Epilepsy Behav       Date:  2018-02-02       Impact factor: 2.937

4.  Machine learning as a diagnostic decision aid for patients with transient loss of consciousness.

Authors:  Alistair Wardrope; Jenny Jamnadas-Khoda; Mark Broadhurst; Richard A Grünewald; Timothy J Heaton; Stephen J Howell; Matthias Koepp; Steve W Parry; Sanjay Sisodiya; Matthew C Walker; Markus Reuber
Journal:  Neurol Clin Pract       Date:  2020-04

5.  The relation of fibromyalgia and fibromyalgia symptoms to self-reported seizures.

Authors:  Johannes J Rasker; Frederick Wolfe; Ewa G Klaver-Krol; Machiel J Zwarts; Peter M Ten Klooster
Journal:  PLoS One       Date:  2021-02-04       Impact factor: 3.240

  5 in total

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