Literature DB >> 19706584

Chronologic changes in neonatal EEG findings in periventricular leukomalacia.

Hiroyuki Kidokoro1, Akihisa Okumura, Fumio Hayakawa, Toru Kato, Koichi Maruyama, Tetsuo Kubota, Motomasa Suzuki, Jun Natsume, Kazuyoshi Watanabe, Seiji Kojima.   

Abstract

OBJECTIVE: This study sought to clarify chronologic changes in neonatal electroencephalographic (EEG) findings in periventricular leukomalacia (PVL).
METHODS: We obtained serial EEG findings for all premature infants who were admitted to our hospital at gestational age of < or =33 weeks between 1997 and 2006. EEG recordings were obtained on days 1 to 4, 5 to 14, 15 to 28, 29 to 56, and 57 to 84. Abnormal EEG findings were classified as acute-stage abnormalities (ASAs) or chronic-stage abnormalities (CSAs) and were subclassified as mild, moderate, or severe. PVL was classified as noncystic, localized cystic, or extensive cystic. The final diagnosis of PVL was made through neurologic assessment and MRI findings at 24 months.
RESULTS: Fifty-five infants were diagnosed as having PVL, including 23 with noncystic PVL, 9 with localized cystic PVL, and 23 with extensive cystic PVL. ASAs were observed most frequently on days 1 to 4 and were observed rarely thereafter in all groups. CSAs were observed most frequently on days 5 to 14, were most severe on days 5 to 14, and then resolved within 1 to 2 months in all groups. CSAs in patients with extensive cystic PVL were more severe and persisted longer, compared with other groups. ASA and CSA severity was correlated with PVL severity.
CONCLUSIONS: EEG findings in PVL differed according to the severity of PVL and the time of recording. To detect PVL, > or =2 EEG recordings are recommended, 1 within 48 hours after birth, to detect ASAs, and 1 in the second week of life, to detect CSAs.

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Year:  2009        PMID: 19706584     DOI: 10.1542/peds.2008-2967

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  6 in total

1.  Predicting 2-y outcome in preterm infants using early multimodal physiological monitoring.

Authors:  Rhodri O Lloyd; John M O'Toole; Vicki Livingstone; William D Hutch; Elena Pavlidis; Anne-Marie Cronin; Eugene M Dempsey; Peter M Filan; Geraldine B Boylan
Journal:  Pediatr Res       Date:  2016-04-18       Impact factor: 3.756

2.  Early oxygen-utilization and brain activity in preterm infants.

Authors:  Maria Luisa Tataranno; Thomas Alderliesten; Linda S de Vries; Floris Groenendaal; Mona C Toet; Petra M A Lemmers; Renè E Vosse van de; Frank van Bel; Manon J N L Benders
Journal:  PLoS One       Date:  2015-05-12       Impact factor: 3.240

3.  Applying a data-driven approach to quantify EEG maturational deviations in preterms with normal and abnormal neurodevelopmental outcomes.

Authors:  Kirubin Pillay; Anneleen Dereymaeker; Katrien Jansen; Gunnar Naulaers; Maarten De Vos
Journal:  Sci Rep       Date:  2020-04-29       Impact factor: 4.379

4.  Video-EEG recordings in full-term neonates of diabetic mothers: observational study.

Authors:  José Ramón Castro Conde; Nieves Luisa González González; Desiré González Barrios; Candelaria González Campo; Yaiza Suárez Hernández; Elena Sosa Comino
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2013-07-19       Impact factor: 5.747

Review 5.  Monitoring of newborns at high risk for brain injury.

Authors:  Francesco Pisani; Carlotta Spagnoli
Journal:  Ital J Pediatr       Date:  2016-05-14       Impact factor: 2.638

Review 6.  Symptomatic seizures in preterm newborns: a review on clinical features and prognosis.

Authors:  Carlotta Spagnoli; Raffaele Falsaperla; Michela Deolmi; Giovanni Corsello; Francesco Pisani
Journal:  Ital J Pediatr       Date:  2018-11-01       Impact factor: 2.638

  6 in total

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