Comparison of two common aEEG classifications for the prediction of neurodevelopmental outcome in preterm infants

Autor: Hanna Müller, Julia Hobrecht, Frauke Dransfeld, Nora Bruns, Tobias Storbeck, Britta Hüning, Ursula Felderhoff-Müser, Christel Weiss
Rok vydání: 2016
Předmět:
Male
Pediatrics
medicine.medical_specialty
Medizin
Gestational Age
Independent predictor
Sensitivity and Specificity
Statistics
Nonparametric
aEEG
03 medical and health sciences
Child Development
0302 clinical medicine
Corrected Age
Amplitude-integrated EEG
Intensive Care Units
Neonatal
030225 pediatrics
Statistical analyses
Linear regression
medicine
Humans
Pediatrics
Perinatology
and Child Health
Mortality
Retrospective Studies
Psychomotor learning
Mental development index
Analysis of Variance
Neurodevelopmental outcome
Chi-Square Distribution
business.industry
Infant
Newborn
Brain
Infant
Gestational age
Electroencephalography
Prognosis
Neurodevelopmental Disorders
Child
Preschool
Preterm infant
Pediatrics
Perinatology and Child Health
Original Article
Female
Outcome prediction
business
Infant
Premature
030217 neurology & neurosurgery
Zdroj: European Journal of Pediatrics
ISSN: 1432-1076
0340-6199
DOI: 10.1007/s00431-016-2816-5
Popis: Neurodevelopmental outcome after prematurity is crucial. The aim was to compare two amplitude-integrated EEG (aEEG) classifications (Hellström-Westas (HW), Burdjalov) for outcome prediction. We recruited 65 infants ≤32 weeks gestational age with aEEG recordings within the first 72 h of life and Bayley testing at 24 months corrected age or death. Statistical analyses were performed for each 24 h section to determine whether very immature/depressed or mature/developed patterns predict survival/neurological outcome and to find predictors for mental development index (MDI) and psychomotor development index (PDI) at 24 months corrected age. On day 2, deceased infants showed no cycling in 80% (HW, p = 0.0140) and 100% (Burdjalov, p = 0.0041). The Burdjalov total score significantly differed between groups on day 2 (p = 0.0284) and the adapted Burdjalov total score on day 2 (p = 0.0183) and day 3 (p = 0.0472). Cycling on day 3 (HW; p = 0.0059) and background on day 3 (HW; p = 0.0212) are independent predictors for MDI (p = 0.0016) whereas no independent predictor for PDI was found (multiple regression analyses). Conclusion: Cycling in both classifications is a valuable tool to assess chance of survival. The classification by HW is also associated with long-term mental outcome.What is Known:•Neurodevelopmental outcome after preterm birth remains one of the major concerns in neonatology.•aEEG is used to measure brain activity and brain maturation in preterm infants.What is New:•The two common aEEG classifications and scoring systems described by Hellström-Westas and Burdjalov are valuable tools to predict neurodevelopmental outcome when performed within the first 72 h of life.•Both aEEG classifications are useful to predict chance of survival. The classification by Hellström-Westas can also predict long-term outcome at corrected age of 2 years. OA hybrid
Databáze: OpenAIRE
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