Neonatal EEG and neurodevelopmental outcome in preterm infants born before 32 weeks. Issue 3 (30th October 2015)

• Record Type: Journal Article
• Authors: Périvier, Maximilien; Rozé, Jean-Christophe; Gascoin, Géraldine; Hanf, Matthieu; Branger, Bernard; Rouger, Valérie; Berlie, Isabelle; Montcho, Yannis; Péréon, Yann; Flamant, Cyril; Nguyen The Tich, Sylvie
• Is Part Of: Archives of disease in childhood. Volume 101:Issue 3(2016)
• Page Start: F253
• Page End: F259
• Publication Date: 2015-10-30
• Subjects: Neonatology -- Neurodevelopment -- Clin Neurophysiology; Infants -- Diseases -- Periodicals; Newborn infants -- Diseases -- Periodicals; Fetus -- Diseases -- Periodicals; 618.920105
• DOI: 10.1136/archdischild-2015-308664
• Languages: English
• ISSNs: 1359-2998

Abstract

Abstract : Objective: To assess the value of neonatal EEG for predicting non-optimal neurodevelopmental outcomes in very preterm infants, using a multimodal strategy of evaluation comprising brain imaging and clinical assessment. Design and setting: Between 2003 and 2009, we performed an observational, population-based study. Out of 2040 eligible preterm infants born before 32 weeks, 1954 were enrolled in the French regional Loire Infant Follow-Up Team (LIFT) cohort. 1744 (89%) of these completed the follow-up. Neonatal EEGs were recorded prospectively as two EEGs during the first 2 weeks of life and then one every 2 weeks up to 33 weeks. Main outcome measures: The neurodevelopmental outcome was assessed by physical examination, the Brunet–Lézine Test and/or the Age and Stages Questionnaire at 2 years of corrected age. Results: Of the 1744 infants assessed at 2 years, 422 had a non-optimal outcome. A total of 4804 EEGs were performed, and 1345 infants had at least one EEG. EEG abnormalities were predictive of non-optimal outcomes after controlling for confounding factors such as severe intracranial lesions detected by brain imaging. Transient moderate and severe abnormalities were independent predictors of non-optimal outcomes with an OR and 95% CI of 1.49 (1.08 to 2.04) and 2.38 (1.49 to 3.81), respectively. In the validation group, the predictive risk stratification tree identified severe abnormalities as a factor contributing to the prognosis of two subgroups: infants with severe cranial lesions and infants with a normal examination at discharge and without severe cranial lesions.