Cargando…
Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest
Improving neurological outcomes after cardiac arrest (CA) is the most important patient-oriented outcome for CA research. Near-infrared spectroscopy (NIRS) enables a non-invasive, real-time measurement of regional cerebral oxygen saturation. Here, we demonstrate a novel, non-invasive measurement usi...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787927/ https://www.ncbi.nlm.nih.gov/pubmed/33413628 http://dx.doi.org/10.1186/s40560-020-00521-9 |
_version_ | 1783632928621723648 |
---|---|
author | Takegawa, Ryosuke Hayashida, Kei Choudhary, Rishabh Rolston, Daniel M. Becker, Lance B. |
author_facet | Takegawa, Ryosuke Hayashida, Kei Choudhary, Rishabh Rolston, Daniel M. Becker, Lance B. |
author_sort | Takegawa, Ryosuke |
collection | PubMed |
description | Improving neurological outcomes after cardiac arrest (CA) is the most important patient-oriented outcome for CA research. Near-infrared spectroscopy (NIRS) enables a non-invasive, real-time measurement of regional cerebral oxygen saturation. Here, we demonstrate a novel, non-invasive measurement using NIRS, termed modified cerebral oximetry index (mCOx), to distinguish the severity of brain injury after CA. We aimed to test the feasibility of this method to predict neurological outcome after asphyxial CA in rats. Our results suggest that mCOx is feasible shortly after resuscitation and can provide a surrogate measure for the severity of brain injury in a rat asphyxia CA model. |
format | Online Article Text |
id | pubmed-7787927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77879272021-01-07 Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest Takegawa, Ryosuke Hayashida, Kei Choudhary, Rishabh Rolston, Daniel M. Becker, Lance B. J Intensive Care Letter to the Editor Improving neurological outcomes after cardiac arrest (CA) is the most important patient-oriented outcome for CA research. Near-infrared spectroscopy (NIRS) enables a non-invasive, real-time measurement of regional cerebral oxygen saturation. Here, we demonstrate a novel, non-invasive measurement using NIRS, termed modified cerebral oximetry index (mCOx), to distinguish the severity of brain injury after CA. We aimed to test the feasibility of this method to predict neurological outcome after asphyxial CA in rats. Our results suggest that mCOx is feasible shortly after resuscitation and can provide a surrogate measure for the severity of brain injury in a rat asphyxia CA model. BioMed Central 2021-01-07 /pmc/articles/PMC7787927/ /pubmed/33413628 http://dx.doi.org/10.1186/s40560-020-00521-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Letter to the Editor Takegawa, Ryosuke Hayashida, Kei Choudhary, Rishabh Rolston, Daniel M. Becker, Lance B. Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
title | Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
title_full | Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
title_fullStr | Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
title_full_unstemmed | Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
title_short | Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
title_sort | brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7787927/ https://www.ncbi.nlm.nih.gov/pubmed/33413628 http://dx.doi.org/10.1186/s40560-020-00521-9 |
work_keys_str_mv | AT takegawaryosuke brainmonitoringusingnearinfraredspectroscopytopredictoutcomeaftercardiacarrestanovelphenotypeinaratmodelofcardiacarrest AT hayashidakei brainmonitoringusingnearinfraredspectroscopytopredictoutcomeaftercardiacarrestanovelphenotypeinaratmodelofcardiacarrest AT choudharyrishabh brainmonitoringusingnearinfraredspectroscopytopredictoutcomeaftercardiacarrestanovelphenotypeinaratmodelofcardiacarrest AT rolstondanielm brainmonitoringusingnearinfraredspectroscopytopredictoutcomeaftercardiacarrestanovelphenotypeinaratmodelofcardiacarrest AT beckerlanceb brainmonitoringusingnearinfraredspectroscopytopredictoutcomeaftercardiacarrestanovelphenotypeinaratmodelofcardiacarrest |