Predictive value of early amplitude-integrated electroencephalography for later diagnosed cerebral white matter damage in preterm infants

Neuropediatrics. 2014 Oct;45(5):314-20. doi: 10.1055/s-0034-1382823. Epub 2014 Jul 8.


Purpose: The aim of the article is to assess the predictive value of amplitude-integrated electroencephalogram (aEEG) for cerebral white matter damage (WMD) in preterm infants. Patients and

Methods: Preterms ≤ 32 weeks' gestational age (GA) born between March 2012 and December 2012 were enrolled. The aEEG patterns within 72 hours were classified and recorded to predict their neurodevelopmental prognosis and the predictive results were used to compare with the results by cerebral ultrasound examination. Neurobehavioral disorder (neonatal behavioral neurological assessment score < 35, dyskinesia or dysgnosia) or death was thought as poor neurodevelopmental prognosis. Psychomotor development index (PDI) or mental development index (MDI) ≤ 79 was regarded as dyskinesia or dysgnosia, respectively.

Results: Of the 63 preterms, 3.2% were born < 27 weeks' gestation and 96.8% at 27 to 32 weeks' gestation. The median GA was 29.3 weeks and the median birth weight was 1,030 g. On the basis of the aEEG results, normal, mildly abnormal, and severely abnormal cases were 10, 24, and 29; whereas determined by cerebral ultrasound, normal, mild, and severe cases were 17, 20, and 26, respectively. The aEEG degree showed significantly positive correlations with both WMD and poor neurodevelopmental prognosis (p < 0.01).

Conclusion: Abnormal aEEG of preterm infants within 72 hours after birth may imply WMD occurrence and poor neurodevelopmental prognosis.

MeSH terms

  • Brain Waves / physiology*
  • Cerebral Cortex / diagnostic imaging
  • Cerebral Cortex / pathology*
  • Electroencephalography
  • Female
  • Gestational Age
  • Humans
  • Infant
  • Infant, Newborn
  • Infant, Premature
  • Infant, Premature, Diseases / diagnosis*
  • Leukoencephalopathies / diagnosis*
  • Male
  • Neurologic Examination
  • Predictive Value of Tests
  • Statistics as Topic
  • Ultrasonography