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Developmental outcome and types of chronic-stage EEG abnormalities in preterm infants
Akihisa Okumura1, Fumio Hayakawa, Toru Kato
1Department of Peadiatrics, Nagoya University Graduate School of Medicine, Aichi, Japan. okumura@med.nagoya-u.ac.jp
Insights
Chronic-stage EEG abnormalities in preterm infants predict neurological outcomes. Disorganized patterns correlate with severe brain injury like periventricular leukomalacia, while dysmature patterns are linked to intraventricular hemorrhage and poorer development.
Area of Science:
- Neonatal Neurology
- Neurodevelopmental Pediatrics
- Clinical Neurophysiology
Background:
- Preterm infants are at high risk for neurological sequelae.
- Electroencephalography (EEG) is crucial for monitoring brain development in neonates.
- Understanding chronic-stage EEG patterns can help predict neurodevelopmental outcomes.
Purpose of the Study:
- To identify chronic-stage EEG abnormality patterns in preterm infants.
- To investigate the relationship between these EEG patterns and neurodevelopmental outcomes.
- To assess the utility of EEG in determining the type of brain injury.
Main Methods:
- 183 preterm infants (<33 weeks gestation) underwent serial EEGs until 40-42 weeks post-conceptional age.
- Chronic-stage EEG abnormalities were classified as disorganized or dysmature.
- Neurological outcomes were assessed via ultrasound for periventricular leukomalacia (PVL) and intraventricular hemorrhage (IVH), and psychomotor development evaluations up to 18 months corrected age.
Main Results:
- Disorganized EEG patterns (n=52) were associated with higher rates of PVL (31 infants), IVH (7 infants), and cerebral palsy (39 infants).
- Dismature EEG patterns (n=28) showed lower rates of PVL (1 infant), but higher rates of IVH (11 infants), cerebral palsy (5 infants), and significantly fewer infants with normal cognitive development (8 infants).
- Infants with dysmature patterns had significantly lower gestational age and birth weight compared to those with disorganized patterns.
Conclusions:
- Chronic-stage EEG abnormality types are linked to specific neurological sequelae in preterm infants.
- EEG patterns provide valuable insights into the mode of brain injury.
- Serial EEG monitoring is essential for predicting neurodevelopmental outcomes in high-risk preterm populations.
Abstract:
The aims of this study were to determine the types of chronic-stage EEG abnormalities that exist and to clarify their relation to neurodevelopmental outcome in preterm infants. We evaluated 183 preterm infants with gestational ages of less than 33 weeks (mean age 29.2 weeks) and weighing less than 2000 g (mean weight 1275 g). The first EEG was performed within 72 hours of life; thereafter, EEG was performed once every 1 to 4 weeks until the infant reached a post-conceptional age of 40 to 42 weeks. Two kinds of EEG abnormalities, acute- and chronic-stage abnormalities, were evaluated and we assessed mainly the latter. Chronic-stage EEG abnormalities were divided into two patterns: disorganized and dysmature. Periventricular leukomalacia (PVL) and intraventricular haemorrhage (IVH) were diagnosed on the basis of ultrasound findings. Psychomotor development was examined every 3 months after discharge until at least 18 months of the infants' corrected age. Disorganized and dysmature patterns were observed in 52 and 28 infants respectively. Among the 52 infants with disorganized patterns, PVL was observed in 31 and IVH in seven infants. Thirty-nine infants had cerebral palsy (CP). Twenty-six achieved normal cognitive development. Of the 28 infants with dysmature patterns, PVL was seen in one and IVH in 11 infants. CP was seen in five infants. Only eight infants achieved normal cognitive development. Gestational age and birthweight were significantly lower in infants with dysmature patterns than in those with disorganized ones. Results indicate that types of chronic-stage EEG abnormalities are related to types of neurological sequelae and are useful for assessing the mode of brain injury in preterm infants.