title: EEG background as predictor of electrographic seizures in high-risk neonates.
abstract: OBJECTIVE
  Experience with continuous EEG monitoring in 29 consecutive infants at risk of neonatal seizures demonstrated that background abnormalities on the initial EEG were strongly associated with electrographic seizures in the subsequent 18-24 h. To test this association prospectively, we examined the relationship between EEG background and the presence of electrographic seizures in the next 22 at-risk infants monitored for seizures.
  
  
  METHODS
  A standard EEG was recorded for each infant at risk for seizures. Based on specific criteria, the background was graded as normal; immature for age; or mildly, moderately, or severely abnormal. The EEG was then monitored continuously until no electrographic seizures were recorded for 18-24 h.
  
  
  RESULTS
  Findings in the retrospective group of 29 infants and the prospective group of 22 infants did not differ. For the combined 51 infants, a normal or immature initial EEG background predicted the absence of seizures in the subsequent 18-24 h with a sensitivity of 96% [confidence interval (CI) 0.88, 1.0] and specificity of 81% (CI 0.67, 0.96). Administration of antiepileptic drugs (AEDs) before the start of the EEG recording did not affect this association.
  
  
  CONCLUSIONS
  In 51 consecutively monitored infants at risk for neonatal seizures, a normal or immature EEG background strongly predicted the absence of electrographic seizures in the subsequent 18-24 h; background abnormalities strongly predicted the occurrence of electrographic seizures concomitantly or in the subsequent 18-24 h of recording. Screening infants at risk for neonatal seizures with a routine EEG allows identification of infants at highest risk for seizures, thus conserving resources required for continuous EEG monitoring and facilitating early intervention for seizures.
authors.affiliation: Department of Pediatrics, University of Rochester Medical Center, New York 14642, USA.
authors.forename: N
authors.initials: N
authors.lastname: Laroia
authors.forename: R
authors.initials: R
authors.lastname: Guillet
authors.forename: J
authors.initials: J
authors.lastname: Burchfiel
authors.forename: M C
authors.initials: MC
authors.lastname: McBride
mesh_terms: D000367:Age Factors; D000927:Anticonvulsants / Q000627:therapeutic use; D001049:Apnea / Q000175:diagnosis / Q000453:epidemiology; D001238:Asphyxia Neonatorum / Q000175:diagnosis / Q000453:epidemiology; D016001:Confidence Intervals; D000013:Congenital Abnormalities / Q000175:diagnosis / Q000453:epidemiology; D004569:Electroencephalography / Q000379:methods / Q000706:statistics & numerical data*; D005260:Female; D005865:Gestational Age; D006801:Humans; D007231:Infant, Newborn; D008297:Male; D008991:Monitoring, Physiologic; D015997:Neonatal Screening; D010243:Paralysis / Q000175:diagnosis / Q000453:epidemiology; D011336:Probability; D011446:Prospective Studies; D012189:Retrospective Studies; D012307:Risk Factors; D012640:Seizures / Q000175:diagnosis / Q000188:drug therapy / Q000453:epidemiology*; D012680:Sensitivity and Specificity
chemical_list: D000927:Anticonvulsants