PMID- 23768540
OWN - NLM
STAT- MEDLINE
DCOM- 20140408
LR  - 20141021
IS  - 1532-2688 (Electronic)
IS  - 1059-1311 (Linking)
VI  - 22
IP  - 8
DP  - 2013 Oct
TI  - Continuous EEG predictors of outcome in patients with altered sensorium.
PG  - 656-61
LID - S1059-1311(13)00147-7 [pii]
LID - 10.1016/j.seizure.2013.05.002 [doi]
AB  - PURPOSE: To evaluate EEG predictors of outcome in patients with altered sensorium 
      suspected to have seizure and to assess whether short term EEG is as effective as 
      long term continuous EEG (cEEG) in predicting the outcome of patients with 
      altered sensorium due to neurological causes. METHODS: We identified 99 
      consecutive critically ill patients with altered sensorium in whom nonconvulsive 
      seizures were suspected. They underwent cEEG. Functional outcome was assessed 
      with the modified Rankin Scale (mRS) at 4 weeks, discharge or death. We compared 
      efficacy of short term EEG and long term continuous EEG in recording the abnormal 
      patterns on EEG. Logistic regression analysis was performed to identify EEG 
      findings associated with poor outcome, defined as mRS 4-6 (dead or moderately to 
      severely disabled). RESULTS: Poor outcome was associated with nonconvulsive 
      seizures (NCS), nonconvulsive status epilepticus (NCSE), periodic lateralized 
      epileptiform discharges (PLEDS), PLEDS plus, generalized periodic epileptiform 
      discharges (GPEDS) and abnormal EEG background. Short term EEG can detect seizure 
      activity and other electrographic markers of poor outcome but the values are 
      statistically insignificant. CONCLUSION: cEEG monitoring provides independent 
      prognostic information in patients with altered sensorium and suspected seizures. 
      Unfavorable findings include nonconvulsive seizures, periodic epileptiform 
      discharges and abnormal background. Short term EEG is ineffective in detecting 
      seizures on EEG in patients with altered sensorium and should not be used as 
      substitute for Long term EEG.
CI  - Copyright (c) 2013 British Epilepsy Association. Published by Elsevier Ltd. All 
      rights reserved.
FAU - Rai, Vinod
AU  - Rai V
AD  - Department of Neurology, All India Institute of Medical Sciences, Ansari Nagar, 
      New Delhi, India.
FAU - Jetli, Sanjeev
AU  - Jetli S
FAU - Rai, Neha
AU  - Rai N
FAU - Padma, M V
AU  - Padma MV
FAU - Tripathi, Manjari
AU  - Tripathi M
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20130612
PL  - England
TA  - Seizure
JT  - Seizure
JID - 9306979
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Brain/*physiopathology
MH  - Critical Illness
MH  - Electroencephalography/*methods
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Prognosis
MH  - Seizures/diagnosis/*physiopathology
MH  - Status Epilepticus/diagnosis/*physiopathology
OTO - NOTNLM
OT  - Altered sensorium
OT  - Continuous EEG
OT  - Outcome
OT  - Predictors
EDAT- 2013/06/19 06:00
MHDA- 2014/04/09 06:00
CRDT- 2013/06/18 06:00
PHST- 2012/09/23 00:00 [received]
PHST- 2013/04/22 00:00 [revised]
PHST- 2013/05/01 00:00 [accepted]
PHST- 2013/06/18 06:00 [entrez]
PHST- 2013/06/19 06:00 [pubmed]
PHST- 2014/04/09 06:00 [medline]
AID - S1059-1311(13)00147-7 [pii]
AID - 10.1016/j.seizure.2013.05.002 [doi]
PST - ppublish
SO  - Seizure. 2013 Oct;22(8):656-61. doi: 10.1016/j.seizure.2013.05.002. Epub 2013 Jun 
      12.