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Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO

Neonates supported on extracorporeal membrane oxygenation (ECMO) are at high risk of brain injury due to haemodynamic instability. In order to monitor cerebral and peripheral (muscle) haemodynamic and oxygenation changes in this population we used a dual-channel near-infrared spectroscopy (NIRS) sys...

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Autores principales: Caicedo, Alexander, Papademetriou, Maria D., Elwell, Clare E., Hoskote, Aparna, Elliott, Martin J., Van Huffel, Sabine, Tachtsidis, Ilias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer New York 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038010/
https://www.ncbi.nlm.nih.gov/pubmed/22879010
http://dx.doi.org/10.1007/978-1-4614-4989-8_4
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author Caicedo, Alexander
Papademetriou, Maria D.
Elwell, Clare E.
Hoskote, Aparna
Elliott, Martin J.
Van Huffel, Sabine
Tachtsidis, Ilias
author_facet Caicedo, Alexander
Papademetriou, Maria D.
Elwell, Clare E.
Hoskote, Aparna
Elliott, Martin J.
Van Huffel, Sabine
Tachtsidis, Ilias
author_sort Caicedo, Alexander
collection PubMed
description Neonates supported on extracorporeal membrane oxygenation (ECMO) are at high risk of brain injury due to haemodynamic instability. In order to monitor cerebral and peripheral (muscle) haemodynamic and oxygenation changes in this population we used a dual-channel near-infrared spectroscopy (NIRS) system. In addition, to assess interrelations between NIRS and systemic variables, collected simultaneously, canonical correlation analysis (CCA) was employed. CCA can quantify the relationship between a set of variables and assess levels of dependency. In four out of five patients, systemic variables were found to be less inter-related with cerebral rather than peripheral NIRS measurements. Moreover, during ECMO flow manipulations, we found that the interrelation between the systemic and the NIRS cerebral/peripheral variables changed. The CCA method presented here can be used to assess differences between NIRS cerebral and NIRS peripheral responses due to systemic variations which may be indicative of physiological differences in the mechanisms that regulate oxygenation and/or haemodynamics of the brain and the muscle.
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spelling pubmed-40380102014-06-02 Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO Caicedo, Alexander Papademetriou, Maria D. Elwell, Clare E. Hoskote, Aparna Elliott, Martin J. Van Huffel, Sabine Tachtsidis, Ilias Adv Exp Med Biol Article Neonates supported on extracorporeal membrane oxygenation (ECMO) are at high risk of brain injury due to haemodynamic instability. In order to monitor cerebral and peripheral (muscle) haemodynamic and oxygenation changes in this population we used a dual-channel near-infrared spectroscopy (NIRS) system. In addition, to assess interrelations between NIRS and systemic variables, collected simultaneously, canonical correlation analysis (CCA) was employed. CCA can quantify the relationship between a set of variables and assess levels of dependency. In four out of five patients, systemic variables were found to be less inter-related with cerebral rather than peripheral NIRS measurements. Moreover, during ECMO flow manipulations, we found that the interrelation between the systemic and the NIRS cerebral/peripheral variables changed. The CCA method presented here can be used to assess differences between NIRS cerebral and NIRS peripheral responses due to systemic variations which may be indicative of physiological differences in the mechanisms that regulate oxygenation and/or haemodynamics of the brain and the muscle. Springer New York 2012-07-21 /pmc/articles/PMC4038010/ /pubmed/22879010 http://dx.doi.org/10.1007/978-1-4614-4989-8_4 Text en © The Author(s) 2013 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), 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 license and indicate if changes were made.The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license 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.
spellingShingle Article
Caicedo, Alexander
Papademetriou, Maria D.
Elwell, Clare E.
Hoskote, Aparna
Elliott, Martin J.
Van Huffel, Sabine
Tachtsidis, Ilias
Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO
title Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO
title_full Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO
title_fullStr Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO
title_full_unstemmed Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO
title_short Canonical Correlation Analysis in the Study of Cerebral and Peripheral Haemodynamics Interrelations with Systemic Variables in Neonates Supported on ECMO
title_sort canonical correlation analysis in the study of cerebral and peripheral haemodynamics interrelations with systemic variables in neonates supported on ecmo
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038010/
https://www.ncbi.nlm.nih.gov/pubmed/22879010
http://dx.doi.org/10.1007/978-1-4614-4989-8_4
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