open access

Vol 50, No 5 (2016)
Original research articles
Submitted: 2016-01-22
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Optimal time of duration of a long-term video-EEG monitoring in paroxysmal events – A retrospective analysis of 282 sessions in 202 patients

Marlena Hupalo1, Janusz W. Smigielski2, Dariusz J. Jaskolski1
DOI: 10.1016/j.pjnns.2016.05.005
·
Neurol Neurochir Pol 2016;50(5):331-335.
Affiliations
  1. Department of Neurosurgery and Oncology of Central Nervous System, Barlicki University Hospital, Medical University of Lodz, Lodz, Poland
  2. Department of Geriatrics, Medical University of Lodz, Lodz, Poland

open access

Vol 50, No 5 (2016)
Original research articles
Submitted: 2016-01-22

Abstract

Purpose

To find the optimal duration of the long-term video-EEG (LTM) and assess diagnostics utility of LTM in patients with epilepsy and other paroxysmal events in terms of future diagnosis and management.

Methods

Retrospective analysis of 282 LTMs performed in the last 5 years in our Epilepsy Monitoring Unit (EMU), in 202 consecutive patients. The analysis included demographic data, monitoring time, number and type of paroxysmal events, the time until their onset, influence of LTM result on the diagnosis and future management.

Results

There were 117 women and 85 men, mean age 34.2 years. Mean duration of LTM was 5 days (3–9), with 447 paroxysmal events recorded in 131 (65%) patients. Epileptic seizures were recorded in 82% cases (in 11% associated with PNES). The remaining 18% had either PNES (psychogenic non-epileptic seizures) – 11%, or parasomnias – 7%. Only 15% of epileptic seizures took place within the first 24h of the LTM (53% and 32% on the 2nd and 3rd day, respectively), whereas as many as 62% of PNES did (while only 28% and 10% on the 2nd and 3rd day, respectively). The LTM results changed the diagnosis in 36% of the patients, most frequently in PNES (from 2% to 14%). Altogether, it changed the management in 64% of the patients – particularly with PNES and those who underwent epilepsy surgery.

Conclusions

LTM should last at least 72h in patients with refractory epilepsy. Most of cases with PNES could be diagnosed after 48h.

Abstract

Purpose

To find the optimal duration of the long-term video-EEG (LTM) and assess diagnostics utility of LTM in patients with epilepsy and other paroxysmal events in terms of future diagnosis and management.

Methods

Retrospective analysis of 282 LTMs performed in the last 5 years in our Epilepsy Monitoring Unit (EMU), in 202 consecutive patients. The analysis included demographic data, monitoring time, number and type of paroxysmal events, the time until their onset, influence of LTM result on the diagnosis and future management.

Results

There were 117 women and 85 men, mean age 34.2 years. Mean duration of LTM was 5 days (3–9), with 447 paroxysmal events recorded in 131 (65%) patients. Epileptic seizures were recorded in 82% cases (in 11% associated with PNES). The remaining 18% had either PNES (psychogenic non-epileptic seizures) – 11%, or parasomnias – 7%. Only 15% of epileptic seizures took place within the first 24h of the LTM (53% and 32% on the 2nd and 3rd day, respectively), whereas as many as 62% of PNES did (while only 28% and 10% on the 2nd and 3rd day, respectively). The LTM results changed the diagnosis in 36% of the patients, most frequently in PNES (from 2% to 14%). Altogether, it changed the management in 64% of the patients – particularly with PNES and those who underwent epilepsy surgery.

Conclusions

LTM should last at least 72h in patients with refractory epilepsy. Most of cases with PNES could be diagnosed after 48h.

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Keywords

Refractory epilepsy, Video-electroencephalography, Long term monitoring

About this article
Title

Optimal time of duration of a long-term video-EEG monitoring in paroxysmal events – A retrospective analysis of 282 sessions in 202 patients

Journal

Neurologia i Neurochirurgia Polska

Issue

Vol 50, No 5 (2016)

Pages

331-335

Page views

305

Article views/downloads

362

DOI

10.1016/j.pjnns.2016.05.005

Bibliographic record

Neurol Neurochir Pol 2016;50(5):331-335.

Keywords

Refractory epilepsy
Video-electroencephalography
Long term monitoring

Authors

Marlena Hupalo
Janusz W. Smigielski
Dariusz J. Jaskolski

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