PMID- 31533458
OWN - NLM
STAT- MEDLINE
DCOM- 20200623
LR  - 20200623
IS  - 2169-5202 (Electronic)
IS  - 1550-0594 (Linking)
VI  - 51
IP  - 1
DP  - 2020 Jan
TI  - Time to Detection of the First Seizure in Patients With Nonconvulsive Status 
      Epilepticus in the Neurological Intensive Care Unit.
PG  - 70-73
LID - 10.1177/1550059419876509 [doi]
AB  - Video-EEG monitoring is often used to detect nonconvulsive status epilepticus 
      (NCSE) in critical care patients. Short recording durations may fail to detect 
      seizures. In this study, we investigated the time required to record the first 
      ictal event, and whether it could be correlated with some clinical or EEG 
      parameters. Video-EEG recordings of patients who were followed up in our 
      neurological intensive care unit were evaluated retrospectively. The EEG 
      recordings of patients with NCSE were reviewed to determine the timing of the 
      first seizure occurrence. Demographic data and EEG findings were obtained from 
      patient charts and EEG reports. Possible correlations between the presence of 
      periodic discharges (PD), Glasgow Coma Scale (GCS) score and early seizure 
      detection (defined as a seizure within the first hour of recording) were explored 
      statistically. Out of 200 patients who underwent video-EEG monitoring, we 
      identified 30 cases (15%; 18 male, 12 female; age 24-86 years; mean recording 
      duration 99 hours) with NCSE. The first seizure was recorded within 0 to 1 hour 
      in 22 patients (73%) and within 1 to 12 hours in 6 patients (22%). Interictal PDs 
      were identified in 19 patients (63%). GCS score was </=8 in 16 patients (53%). 
      There was no correlation between early seizure detection and PDs (p=1.0) or GCS 
      score (P = .22). In our study, >90% of the seizures were captured within 12 
      hours. This finding suggests that most of the NCSE cases can be identified even 
      in centers with limited resources. The presence or absence of PDs or GCS score 
      does not predict the timing of the first seizure.
FAU - Dericioglu, Nese
AU  - Dericioglu N
AUID- ORCID: 0000-0003-2465-3017
AD  - Department of Adult Neurology, Hacettepe University Faculty of Medicine, Ankara, 
      Turkey.
FAU - Arsava, Ethem Murat
AU  - Arsava EM
AD  - Department of Adult Neurology, Hacettepe University Faculty of Medicine, Ankara, 
      Turkey.
FAU - Topcuoglu, Mehmet Akif
AU  - Topcuoglu MA
AD  - Department of Adult Neurology, Hacettepe University Faculty of Medicine, Ankara, 
      Turkey.
LA  - eng
PT  - Journal Article
DEP - 20190919
PL  - United States
TA  - Clin EEG Neurosci
JT  - Clinical EEG and neuroscience
JID - 101213033
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Critical Care/methods
MH  - *Electroencephalography/methods
MH  - Female
MH  - Humans
MH  - *Intensive Care Units
MH  - Male
MH  - Middle Aged
MH  - Retrospective Studies
MH  - Seizures/diagnosis/*physiopathology
MH  - Status Epilepticus/diagnosis/*physiopathology
MH  - Young Adult
OTO - NOTNLM
OT  - GCS score
OT  - intensive care unit
OT  - nonconvulsive status epilepticus
OT  - periodic discharges
OT  - time to first seizure
EDAT- 2019/09/20 06:00
MHDA- 2020/06/24 06:00
CRDT- 2019/09/20 06:00
PHST- 2019/09/20 06:00 [pubmed]
PHST- 2020/06/24 06:00 [medline]
PHST- 2019/09/20 06:00 [entrez]
AID - 10.1177/1550059419876509 [doi]
PST - ppublish
SO  - Clin EEG Neurosci. 2020 Jan;51(1):70-73. doi: 10.1177/1550059419876509. Epub 2019 
      Sep 19.