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Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities
Extracorporeal membrane oxygenation (ECMO) is a life-supporting therapy for critically ill patients with severe respiratory and/or cardiovascular failure. Cerebrovascular impairment can result in hemorrhagic and ischemic complications commonly seen in the patients supported on ECMO. We investigated...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562949/ https://www.ncbi.nlm.nih.gov/pubmed/28840161 http://dx.doi.org/10.1117/1.NPh.4.4.041410 |
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author | Tian, Fenghua Morriss, Michael Craig Chalak, Lina Venkataraman, Ramgopal Ahn, Chul Liu, Hanli Raman, Lakshmi |
author_facet | Tian, Fenghua Morriss, Michael Craig Chalak, Lina Venkataraman, Ramgopal Ahn, Chul Liu, Hanli Raman, Lakshmi |
author_sort | Tian, Fenghua |
collection | PubMed |
description | Extracorporeal membrane oxygenation (ECMO) is a life-supporting therapy for critically ill patients with severe respiratory and/or cardiovascular failure. Cerebrovascular impairment can result in hemorrhagic and ischemic complications commonly seen in the patients supported on ECMO. We investigated the degree of cerebral autoregulation impairment during ECMO as well as whether it is predictive of neuroimaging abnormalities. Spontaneous fluctuations of mean arterial pressure (MAP) and cerebral tissue oxygen saturation ([Formula: see text]) were continuously measured during the ECMO run. The dynamic relationship between the MAP and [Formula: see text] fluctuations was assessed based on wavelet transform coherence (WTC). Neuroimaging was conducted during and/or after ECMO as standard of care, and the abnormalities were evaluated based on a scoring system that had been previously validated among ECMO patients. Of the 25 patients, 8 (32%) had normal neuroimaging, 7 (28%) had mild to moderate neuroimaging abnormalities, and the other 10 (40%) had severe neuroimaging abnormalities. The degrees of cerebral autoregulation impairment quantified based on WTC showed significant correlations with the neuroimaging scores ([Formula: see text]; [Formula: see text]). Evidence that cerebral autoregulation impairment during ECMO was related to the patients’ neurological outcomes was provided. |
format | Online Article Text |
id | pubmed-5562949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-55629492018-08-19 Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities Tian, Fenghua Morriss, Michael Craig Chalak, Lina Venkataraman, Ramgopal Ahn, Chul Liu, Hanli Raman, Lakshmi Neurophotonics Special Section on Functional Near Infrared Spectroscopy, Part 2 Extracorporeal membrane oxygenation (ECMO) is a life-supporting therapy for critically ill patients with severe respiratory and/or cardiovascular failure. Cerebrovascular impairment can result in hemorrhagic and ischemic complications commonly seen in the patients supported on ECMO. We investigated the degree of cerebral autoregulation impairment during ECMO as well as whether it is predictive of neuroimaging abnormalities. Spontaneous fluctuations of mean arterial pressure (MAP) and cerebral tissue oxygen saturation ([Formula: see text]) were continuously measured during the ECMO run. The dynamic relationship between the MAP and [Formula: see text] fluctuations was assessed based on wavelet transform coherence (WTC). Neuroimaging was conducted during and/or after ECMO as standard of care, and the abnormalities were evaluated based on a scoring system that had been previously validated among ECMO patients. Of the 25 patients, 8 (32%) had normal neuroimaging, 7 (28%) had mild to moderate neuroimaging abnormalities, and the other 10 (40%) had severe neuroimaging abnormalities. The degrees of cerebral autoregulation impairment quantified based on WTC showed significant correlations with the neuroimaging scores ([Formula: see text]; [Formula: see text]). Evidence that cerebral autoregulation impairment during ECMO was related to the patients’ neurological outcomes was provided. Society of Photo-Optical Instrumentation Engineers 2017-08-19 2017-10 /pmc/articles/PMC5562949/ /pubmed/28840161 http://dx.doi.org/10.1117/1.NPh.4.4.041410 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Special Section on Functional Near Infrared Spectroscopy, Part 2 Tian, Fenghua Morriss, Michael Craig Chalak, Lina Venkataraman, Ramgopal Ahn, Chul Liu, Hanli Raman, Lakshmi Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
title | Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
title_full | Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
title_fullStr | Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
title_full_unstemmed | Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
title_short | Impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
title_sort | impairment of cerebral autoregulation in pediatric extracorporeal membrane oxygenation associated with neuroimaging abnormalities |
topic | Special Section on Functional Near Infrared Spectroscopy, Part 2 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562949/ https://www.ncbi.nlm.nih.gov/pubmed/28840161 http://dx.doi.org/10.1117/1.NPh.4.4.041410 |
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