TY - JOUR
T1 - Cross section of stat (emergent) eeg use. who orders them? what do we find? what indications best predict finding seizures?
AU - Teleb, Mohamed S.
AU - Lee, Susan W.
AU - Crepeau, Amy Z.
AU - Chang, Jason
AU - Wu, Tzu Ching
AU - Chappie, Kristina
AU - Chung, Steve
AU - Maganti, Rama
AU - Teleb, Mohamed S.
PY - 2012/9/1
Y1 - 2012/9/1
N2 - Stat electroencephalograms (sEEG) recorded over a one year period were analyzed to determine the rate of seizure or status epilepticus (SE) detection and the best predictors based on: ordering physician, clinical indication for study, and clinical history. All consecutive sEEG reports done over a year period at our institution were retrospectively reviewed. The following data were evaluated: sEEG findings, clinical history, clinical indication for study, requesting physician, location of patient, and demographics. Univariate analysis followed by a multivariate regression model analysis was performed. Of the 3,471 inpatient EEGs performed during the review period, 778 (22.4%) were sEEGs. 3.5% (n=27) nonconvulsive status epilepticus (NCSE), 0.4% (n=3) convulsive status epilepticus (CSE), and 1.1% (n=9) had discrete electro graphic seizures giving a total yield of 5.0% (39/778) patients with seizures or SE. A multivariate logistic retrospective model looking at ordering physician, clinical indication, and clinical history found that only clinical indications (overt continuous seizures/movements and witnessed seizure without return to baseline) were significant in the overall model. In our tertiary care institution sample, the rate of detecting status epilepticus or seizures among sEEG is low compared to prior studies. The best clinical predictors of finding SE or discrete seizures were overt continuous seizures/movements or witnessed seizure without return to baseline.
AB - Stat electroencephalograms (sEEG) recorded over a one year period were analyzed to determine the rate of seizure or status epilepticus (SE) detection and the best predictors based on: ordering physician, clinical indication for study, and clinical history. All consecutive sEEG reports done over a year period at our institution were retrospectively reviewed. The following data were evaluated: sEEG findings, clinical history, clinical indication for study, requesting physician, location of patient, and demographics. Univariate analysis followed by a multivariate regression model analysis was performed. Of the 3,471 inpatient EEGs performed during the review period, 778 (22.4%) were sEEGs. 3.5% (n=27) nonconvulsive status epilepticus (NCSE), 0.4% (n=3) convulsive status epilepticus (CSE), and 1.1% (n=9) had discrete electro graphic seizures giving a total yield of 5.0% (39/778) patients with seizures or SE. A multivariate logistic retrospective model looking at ordering physician, clinical indication, and clinical history found that only clinical indications (overt continuous seizures/movements and witnessed seizure without return to baseline) were significant in the overall model. In our tertiary care institution sample, the rate of detecting status epilepticus or seizures among sEEG is low compared to prior studies. The best clinical predictors of finding SE or discrete seizures were overt continuous seizures/movements or witnessed seizure without return to baseline.
KW - Convulsive status epilepticus
KW - Emergent eeg
KW - Non-convulsive seizures
KW - Nonconvulsive status epilepticus
KW - Stat eeg
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U2 - 10.1080/21646821.2012.11079863
DO - 10.1080/21646821.2012.11079863
M3 - Article
C2 - 23019765
AN - SCOPUS:84867846504
SN - 2164-6821
VL - 52
SP - 281
EP - 290
JO - Neurodiagnostic Journal
JF - Neurodiagnostic Journal
IS - 3
ER -