title: StatNet Electroencephalogram: A Fast and Reliable Option to Diagnose Nonconvulsive Status Epilepticus in Emergency Setting.
abstract: BACKGROUND
  The StatNet electrode set is a system that can be applied by a non-electroencephalogram (EEG) technologist after minimal training. The primary objectives of this study are to assess the quality and reliability of the StatNet recordings in comparison to the conventional EEG.
  
  
  METHODS
  Over 10 months, 19 patients with suspected nonconvulsive status epilepticus were included from university hospital emergency settings. Each patient received a StatNet EEG by a trained epilepsy fellow and a conventional EEG by registered technologists. We compared the studies in a blinded fashion, for the timeframe from EEG order to the setup time, start of acquisition, amount of artifact, and detection of abnormalities. The nonparametric Mann-Whitney two-sample t test was used for comparisons. The kappa score was used to assess reliability.
  
  
  RESULTS
  Mean age of patients was 61±16.3 (25-93) years. The inter-observer agreement for detection of abnormal findings was 0.83 for StatNet and 0.75 for conventional EEG. Nonconvulsive status epilepticus was detected in 10% (2/19) in both studies. The delay from the time of EEG requisition to acquisition was shorter in the StatNet (22.4±2.5 minutes) than the conventional EEG (217.7±44.6 minutes; p<0.0001). The setup time was also shorter in the StatNet (9.9±0.8 minutes) compared with the conventional EEG (17.8±0.8 minutes; p<0.0001). There was no difference in the percentage of artifact duration between the two studies (p=0.89).
  
  
  CONCLUSIONS
  This study demonstrates that StatNet EEG is a practical and reliable tool in the emergency setting, which reduces the delay of testing compared with conventional EEG, without significant compromise of study quality.
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Lady Diana
authors: LD
authors: Ladino
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Alexandra
authors: A
authors: Voll
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Dianne
authors: D
authors: Dash
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Wes
authors: W
authors: Sutherland
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Lizbeth
authors: L
authors: Hernández-Ronquillo
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Jose Francisco
authors: JF
authors: Téllez-Zenteno
authors: 1Department of Medicine,Division of Neurology,University of Saskatchewan,Saskatoon,Canada.
authors: Farzad
authors: F
authors: Moien-Afshari
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D004569:Electroencephalography / Q000379:methods*; D004636:Emergency Service, Hospital; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013226:Status Epilepticus / Q000175:diagnosis*
keywords: disposable EEG electrodes; emergency department; emergent EEG; intensive care unit; nonconvulsive status epilepticus; stat EEG