Literature DB >> 12213608

Prognostic value of neonatal discontinuous EEG.

Caroline C Menache1, Blaise F D Bourgeois, Joseph J Volpe.   

Abstract

The burst suppression pattern on the neonatal electroencephalogram (EEG) is associated with a poor outcome. However, this serious abnormality constitutes only a small proportion of discontinuous neonatal EEGs. We sought to establish whether any easily measurable parameters among the broad range of excessively discontinuous neonatal EEGs are predictive of outcome. We retrospectively reviewed the EEGs and medical records of 43 term infants with excessively discontinuous EEGs. We quantitated 10 parameters in the bursts and interburst intervals, among them the predominant interburst interval duration (defined as the duration of more than 50% of all interburst intervals of an EEG). Univariate and multivariate analyses were performed on the 10 EEG variables in relation to neurologic outcome and subsequent epilepsy. Based on multivariate analysis, a single easily measurable EEG parameter related significantly to outcome. A predominant interburst interval duration of more than 30 seconds correlated with the occurrence of both unfavorable neurologic outcome and subsequent epilepsy (P = 0.040 and P = 0.033, respectively). In conclusion, a infant whose EEG contains a predominant interburst interval duration of more than 30 seconds has a 100% probability of experiencing severe neurologic disabilities or death and an 86% chance of developing subsequent epilepsy. This easily quantitated EEG parameter could be valuable for the early estimation of neurologic prognosis.

Entities:  

Mesh:

Year:  2002        PMID: 12213608     DOI: 10.1016/s0887-8994(02)00396-x

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  12 in total

1.  The etiology and outcome analysis of neonatal burst suppression EEG.

Authors:  Lian Zhang; Yanxia Zhou; Sanqing Xu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2007-10

2.  Video-EEG monitoring in newborns with hypoxic-ischemic encephalopathy treated with hypothermia.

Authors:  K B Nash; S L Bonifacio; H C Glass; J E Sullivan; A J Barkovich; D M Ferriero; M R Cilio
Journal:  Neurology       Date:  2011-02-08       Impact factor: 9.910

3.  Automated sedation outperforms manual administration of propofol and remifentanil in critically ill patients with deep sedation: a randomized phase II trial.

Authors:  Morgan Le Guen; Ngai Liu; Eric Bourgeois; Thierry Chazot; Daniel I Sessler; Jean-Jacques Rouby; Marc Fischler
Journal:  Intensive Care Med       Date:  2012-12-06       Impact factor: 17.440

4.  Technical standards for recording and interpretation of neonatal electroencephalogram in clinical practice.

Authors:  Perumpillichira J Cherian; Renate M Swarte; Gerhard H Visser
Journal:  Ann Indian Acad Neurol       Date:  2009-01       Impact factor: 1.383

5.  Hemodynamic response to burst-suppressed and discontinuous electroencephalography activity in infants with hypoxic ischemic encephalopathy.

Authors:  Maria Chalia; Chuen Wai Lee; Laura A Dempsey; Andrea D Edwards; Harsimrat Singh; Andrew W Michell; Nicholas L Everdell; Reuben W Hill; Jeremy C Hebden; Topun Austin; Robert J Cooper
Journal:  Neurophotonics       Date:  2016-05-02       Impact factor: 3.593

6.  Neuronal Circuit Activity during Neonatal Hypoxic-Ischemic Seizures in Mice.

Authors:  Jennifer Burnsed; Daria Skwarzyńska; Pravin K Wagley; Laura Isbell; Jaideep Kapur
Journal:  Ann Neurol       Date:  2019-10-18       Impact factor: 10.422

7.  Presence of electroencephalogram burst suppression in sedated, critically ill patients is associated with increased mortality.

Authors:  Paula L Watson; Ayumi K Shintani; Richard Tyson; Pratik P Pandharipande; Brenda T Pun; E Wesley Ely
Journal:  Crit Care Med       Date:  2008-12       Impact factor: 7.598

8.  Value of electroencephalographic monitoring in newborns with hypoxic-ischemic encephalopathy treated with hypothermia.

Authors:  Hatem Hamed Elshorbagy; Ahmed A Azab; Naglaa M Kamal; Naglaa Fathy Barseem; Mohamed M Bassiouny; Mostafa A Elsayed; Tohamy H Elkhouly
Journal:  J Pediatr Neurosci       Date:  2016 Oct-Dec

9.  Building an Open Source Classifier for the Neonatal EEG Background: A Systematic Feature-Based Approach From Expert Scoring to Clinical Visualization.

Authors:  Saeed Montazeri Moghadam; Elana Pinchefsky; Ilse Tse; Viviana Marchi; Jukka Kohonen; Minna Kauppila; Manu Airaksinen; Karoliina Tapani; Päivi Nevalainen; Cecil Hahn; Emily W Y Tam; Nathan J Stevenson; Sampsa Vanhatalo
Journal:  Front Hum Neurosci       Date:  2021-05-31       Impact factor: 3.169

10.  Objective differentiation of neonatal EEG background grades using detrended fluctuation analysis.

Authors:  Vladimir Matic; Perumpillichira Joseph Cherian; Ninah Koolen; Amir H Ansari; Gunnar Naulaers; Paul Govaert; Sabine Van Huffel; Maarten De Vos; Sampsa Vanhatalo
Journal:  Front Hum Neurosci       Date:  2015-04-23       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.