Chapter title |
A New Framework for the Assessment of Cerebral Hemodynamics Regulation in Neonates Using NIRS.
|
---|---|
Chapter number | 63 |
Book title |
Oxygen Transport to Tissue XXXVII
|
Published in |
Advances in experimental medicine and biology, January 2016
|
DOI | 10.1007/978-1-4939-3023-4_63 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3022-7, 978-1-4939-3023-4
|
Authors |
Alexander Caicedo, Thomas Alderliesten, Gunnar Naulaers, Petra Lemmers, Frank van Bel, Sabine Van Huffel |
Editors |
Clare E. Elwell, Terence S. Leung, David K. Harrison |
Abstract |
We present a new framework for the assessment of cerebral hemodynamics regulation (CHR) in neonates using near-infrared spectroscopy (NIRS). In premature infants, NIRS measurements have been used as surrogate variables for cerebral blood flow (CBF) in the assessment of cerebral autoregulation (CA). However, NIRS measurements only reflect changes in CBF under constant changes in arterial oxygen saturation (SaO2). This condition is unlikely to be met at the bedside in the NICU. Additionally, CA is just one of the different highly coupled mechanisms that regulate brain hemodynamics. Traditional methods for the assessment of CA do not take into account the multivariate nature of CHR, producing inconclusive results. In this study we propose a newly developed multivariate methodology for the assessment of CHR. This method is able to effectively decouple the influences of SaO2 from the NIRS measurements, and at the same time, produces scores indicating the strength of the coupling between the systemic variables and NIRS recordings. We explore the use of this method, and its derived scores, for the monitoring of CHR using data from premature infants who developed a grade III-IV intra-ventricular hemorrhage during the first 3 days of life. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 4% |
Unknown | 25 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 31% |
Other | 3 | 12% |
Professor | 3 | 12% |
Student > Bachelor | 2 | 8% |
Researcher | 2 | 8% |
Other | 5 | 19% |
Unknown | 3 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 42% |
Neuroscience | 3 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Social Sciences | 1 | 4% |
Other | 3 | 12% |
Unknown | 5 | 19% |