Literature DB >> 30904770

Bedside neurophysiological tests can identify neonates with stroke leading to cerebral palsy.

Päivi Nevalainen1, Marjo Metsäranta2, Sanna Toiviainen-Salo3, Tuula Lönnqvist4, Sampsa Vanhatalo5, Leena Lauronen5.   

Abstract

OBJECTIVE: The unspecific symptoms of neonatal stroke still challenge its bedside diagnosis. We studied the accuracy of routine electroencephalography (EEG) and simultaneously recorded somatosensory evoked potentials (EEG-SEP) for diagnosis and outcome prediction of neonatal stroke.
METHODS: We evaluated EEG and EEG-SEPs from a hospital cohort of 174 near-term neonates with suspected seizures or encephalopathy, 32 of whom were diagnosed with acute ischemic or hemorrhagic stroke in MRI. EEG was scored for background activity and seizures. SEPs were classified as present or absent. Developmental outcome of stroke survivors was evaluated from medical records at 8- to 18-months age.
RESULTS: The combination of continuous EEG and uni- or bilaterally absent SEP (n = 10) was exclusively seen in neonates with a middle cerebral artery (MCA) stroke (specificity 100%). Moreover, 80% of the neonates with this finding developed with cerebral palsy. Bilaterally present SEPs did not exclude stroke, but predicted favorable neuromotor outcome in stroke survivors (positive predictive value 95%).
CONCLUSIONS: Absent SEP combined with continuous EEG background in near-term neonates indicates an MCA stroke and a high risk for cerebral palsy. SIGNIFICANCE: EEG-SEP offers a bedside method for diagnostic screening and a reliable prediction of neuromotor outcome in neonates suspected of having a stroke.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cerebral palsy (CP); Electroencephalography (EEG); Neonatal intensive care; Neonatal seizures; Neonatal stroke; Somatosensory evoked potentials (SEP)

Mesh:

Year:  2019        PMID: 30904770     DOI: 10.1016/j.clinph.2019.02.017

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  3 in total

1.  Ensemble Learning Using Individual Neonatal Data for Seizure Detection.

Authors:  Ana Borovac; Steinn Gudmundsson; Gardar Thorvardsson; Saeed M Moghadam; Paivi Nevalainen; Nathan Stevenson; Sampsa Vanhatalo; Thomas P Runarsson
Journal:  IEEE J Transl Eng Health Med       Date:  2022-08-23

2.  Background suppression of electrical activity is a potential biomarker of subsequent brain injury in a rat model of neonatal hypoxia-ischemia.

Authors:  A Zayachkivsky; M J Lehmkuhle; J J Ekstrand; F E Dudek
Journal:  J Neurophysiol       Date:  2022-06-08       Impact factor: 2.974

Review 3.  Perinatal stroke: mapping and modulating developmental plasticity.

Authors:  Adam Kirton; Megan J Metzler; Brandon T Craig; Alicia Hilderley; Mary Dunbar; Adrianna Giuffre; James Wrightson; Ephrem Zewdie; Helen L Carlson
Journal:  Nat Rev Neurol       Date:  2021-06-14       Impact factor: 42.937

  3 in total

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