title: RSE prediction by EEG patterns in adult GCSE patients.
abstract: BACKGROUND
  Electroencephalogram (EEG) can predict mortality in status epilepticus (SE) patients. However, we consider that the prediction for refractory status epilepticus (RSE) after SE initial treatment is more significant than long-term prognosis of SE. The objective of this study is to detect some predictive EEG patterns for RSE.
  
  
  METHODS
  Pooled data derived from two randomized controlled trials (RCTs) were prospectively analyzed in adult generalized convulsive status epilepticus (GCSE) patients.
  
  
  RESULTS
  Etiology, GCSE duration and EEG patterns are three factors which were statistically different between non-RSE and RSE groups. However, when we introduced these factors into multivariable logistic regression model, only EEG pattern was an independent risk factor for RSE prediction. Comparing with rhythmic fast activities background (RFAB) pattern, there were positive correlations between interictal epileptiform discharges (IEDs), periodic epileptic discharges/subtle status epilepticus (PEDs/subtle SE) patterns and RSE incidence respectively.
  
  
  CONCLUSIONS
  There was an increased risk of RSE incidence accompanied with IEDs and PEDs/subtle SE patterns appearance. Clinicians should adjust anti-epileptic strategies with the aid of these EEG patterns in order to reduce RSE incidence.
authors.affiliation: Department of Neurology, Xuanwu Hospital, Capital Medical University, No 45 Changchun Street, Beijing 100053, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Tian
authors.forename: Yingying
authors.initials: Y
authors.lastname: Su
authors.forename: Weibi
authors.initials: W
authors.lastname: Chen
authors.forename: Ran
authors.initials: R
authors.lastname: Gao
authors.forename: Yunzhou
authors.initials: Y
authors.lastname: Zhang
authors.forename: Yan
authors.initials: Y
authors.lastname: Zhang
authors.forename: Hong
authors.initials: H
authors.lastname: Ye
authors.forename: Daiquan
authors.initials: D
authors.lastname: Gao
mesh_terms: D000328:Adult; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D013226:Status Epilepticus / Q000175:diagnosis* / Q000503:physiopathology*