ArticleEuropean journal of pediatrics2017
Comparison of two common aEEG classifications for the prediction of neurodevelopmental outcome in preterm infants.
Article in European journal of pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 34 citations in OpenAlex.
- [Effect of oral motor intervention in improving brain function development in preterm infants: a randomized controlled trial].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2021Trial
- A Mixed Lipid Emulsion Containing Fish Oil and Its Effect on Electrophysiological Brain Maturation in Infants of Extremely Low Birth Weight: A Secondary Analysis of a Randomized Clinical Trial.The Journal of pediatrics · 2019Trial
- Cerebral Oxygenation During Transition and Amplitude-Integrated Electroencephalography Signals: An Ancillary Study to the COSGOD-III Trial.Acta paediatrica (Oslo, Norway : 1992) · 2025Observational
- The Predictive Value of Amplitude-Integrated Electroencephalography for the Neurodevelopmental Outcomes of Preterm Newborns at 12 Months Corrected Age.Children (Basel, Switzerland) · 2024Article
- aEEG in the first 3 days after extremely preterm delivery relates to neurodevelopmental outcomes.Journal of perinatology : official journal of the California Perinatal Association · 2024Article
- The Role of Amplitude-Integrated Electroencephalography (aEEG) in Monitoring Infants with Neonatal Seizures and Predicting Their Neurodevelopmental Outcome.Children (Basel, Switzerland) · 2023Article
- A practical approach toward interpretation of amplitude integrated electroencephalography in preterm infants.European journal of pediatrics · 2022Review
- [Biomarkers and neuromonitoring for prognosis of development after perinatal brain damage].Monatsschrift Kinderheilkunde : Organ der Deutschen Gesellschaft fur Kinderheilkunde · 2022Review
- Characterization of aEEG During Sleep and Wakefulness in Healthy Children.Frontiers in pediatrics · 2021Article
- [Value of amplitude-integrated EEG combined with Full Outline of Unresponsiveness in evaluating the prognosis of children with disturbance of consciousness].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2020Article
- Predictive Value of Early Amplitude Integrated EEG in Extremely Premature Infants.Journal of child neurology · 2020Article
- aEEG Use in Pediatric Critical Care-An Online Survey.Frontiers in pediatrics · 2020Article
- Amplitude-Integrated EEG for Neurological Assessment and Seizure Detection in a German Pediatric Intensive Care Unit.Frontiers in pediatrics · 2019Article
- Relationship between brain function (aEEG) and brain structure (MRI) and their predictive value for neurodevelopmental outcome of preterm infants.European journal of pediatrics · 2018Article
- Application of an Amplitude-integrated EEG Monitor (Cerebral Function Monitor) to Neonates.Journal of visualized experiments : JoVE · 2017Article
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Authors and funding
8 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
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).
conclusionCycling 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.
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