Journal of Pediatric Neurology 2020; 18(02): 079-087
DOI: 10.1055/s-0039-1687883
Original Article
Georg Thieme Verlag KG Stuttgart · New York

Combined vEEG and Cerebral Oximetry Results to Determine the Severity of Hypoxic–Ischemic Encephalopathy

1   Department of Pediatrics, University of Florida, Gainesville, Florida, United States
,
Suman Ghosh
1   Department of Pediatrics, University of Florida, Gainesville, Florida, United States
,
Erik Middlebrook
2   Department of Radiology, University of Florida, Gainesville, Florida, United States
,
2   Department of Radiology, University of Florida, Gainesville, Florida, United States
,
Nikolay Bliznyuk
3   Department of Agricultural and Biological Engineering, University of Florida, Gainesville, Florida, United States
,
Melissa Huene
1   Department of Pediatrics, University of Florida, Gainesville, Florida, United States
,
Nicole Copenhaver
1   Department of Pediatrics, University of Florida, Gainesville, Florida, United States
,
Livia Sura
1   Department of Pediatrics, University of Florida, Gainesville, Florida, United States
,
Michael D. Weiss
1   Department of Pediatrics, University of Florida, Gainesville, Florida, United States
› Author Affiliations
Funding Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Further Information

Publication History

05 February 2019

12 March 2019

Publication Date:
30 April 2019 (online)

Abstract

The objectives of the study were to evaluate the prognostic utility of bedside monitoring tools for hypoxic–ischemic encephalopathy (HIE) outcome and develop a prognostic predictive model. This retrospective study reviewed neonatal HIE treated with hypothermia between 2013 and 2016. Continuous video electroencephalography (vEEG) recordings scored for background electrocerebral activity, seizure, and sleep–wake cycles, and rSO2 data were stratified by magnetic resonance imaging (MRI) severity. The vEEG and rSO2 were combined in a predictive model. The analysis included 38 patients. The rSO2 was significantly higher in the severe group. vEEG showed early and persistent maximal suppression in the severe group. The predictive correlation of the rSO2 improves when combined with the vEEG.

 
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