Literature DB >> 9050049

Electroencephalographic dysmaturity in preterm infants: a prognostic tool in the early postnatal period.

E Biagioni1, L Bartalena, P Biver, R Pieri, G Cioni.   

Abstract

The aim of the study was to assess the prognostic value of maturational abnormalities in the electroencephalogram (EEG) of preterm infants. 63 subjects (mean gestational age: 32.7 weeks; range 28-34) were submitted to EEG recording within the first two weeks of life and subsequently followed up until at least 12 months of corrected age. Maturational features of background EEG were analysed and the occurrence of different degrees of maturational anomalies ("dysmaturity") was scored, according to standardised criteria. The results were compared to neurological outcome and to cranial ultrasound (US) findings. EEG maturational features significantly related to the outcome. When the EEG background activity was normal all but one patient showed a favourable outcome; the incidence of neurological sequelae became higher according to the degree of dysmaturity detected. However, some infants had a normal evolution, despite severe EEG dysmaturity in the early postnatal period. The correlation between EEG and US findings was low, although US also significantly related to the outcome. Background EEG maturational features seem to be a reliable prognostic tool in the early postnatal period of preterm infants, complementary to serial US scans.

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Year:  1996        PMID: 9050049     DOI: 10.1055/s-2007-973800

Source DB:  PubMed          Journal:  Neuropediatrics        ISSN: 0174-304X            Impact factor:   1.947


  5 in total

1.  Prognostic value of EEG performed at term age in preterm infants.

Authors:  Teresa Randò; Daniela Ricci; Rita Luciano; M Flavia Frisone; Giovanni Baranello; Tania Tonelli; Marika Pane; Costantino Romagnoli; Giuseppe Tortorolo; Eugenio Mercuri; Francesco Guzzetta
Journal:  Childs Nerv Syst       Date:  2005-06-01       Impact factor: 1.475

2.  Quick and accurate quantification of the premature brain.

Authors:  Catherine J Chu
Journal:  Clin Neurophysiol       Date:  2016-05-04       Impact factor: 3.708

3.  Fetal cerebrovascular resistance and neonatal EEG predict 18-month neurodevelopmental outcome in infants with congenital heart disease.

Authors:  I A Williams; A R Tarullo; P G Grieve; A Wilpers; E F Vignola; M M Myers; W P Fifer
Journal:  Ultrasound Obstet Gynecol       Date:  2012-08-02       Impact factor: 7.299

Review 4.  Characteristics and clinical significance of delta brushes in the EEG of premature infants.

Authors:  Kimberley Whitehead; Ronit Pressler; Lorenzo Fabrizi
Journal:  Clin Neurophysiol Pract       Date:  2016-12-05

5.  Prediction of Neurodevelopment in Infants With Tuberous Sclerosis Complex Using Early EEG Characteristics.

Authors:  Jessie De Ridder; Mario Lavanga; Birgit Verhelle; Jan Vervisch; Katrien Lemmens; Katarzyna Kotulska; Romina Moavero; Paolo Curatolo; Bernhard Weschke; Kate Riney; Martha Feucht; Pavel Krsek; Rima Nabbout; Anna C Jansen; Konrad Wojdan; Dorota Domanska-Pakieła; Magdalena Kaczorowska-Frontczak; Christoph Hertzberg; Cyrille H Ferrier; Sharon Samueli; Barbora Benova; Eleonora Aronica; David J Kwiatkowski; Floor E Jansen; Sergiusz Jóźwiak; Sabine Van Huffel; Lieven Lagae
Journal:  Front Neurol       Date:  2020-10-16       Impact factor: 4.003

  5 in total

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