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Predicting Apnoeic Events in Preterm Infants
Apnoea, a pause in respiration, is almost ubiquitous in preterm infants born before completing 30 weeks gestation. Apnoea often begets hypoxemia and/or bradycardia, and has the potential to result in adverse neurodevelopmental consequences. Our current inability to predict apnoeic events in preterm...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525015/ https://www.ncbi.nlm.nih.gov/pubmed/33042915 http://dx.doi.org/10.3389/fped.2020.00570 |
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author | Lim, Kathleen Jiang, Haimin Marshall, Andrew P. Salmon, Brian Gale, Timothy J. Dargaville, Peter A. |
author_facet | Lim, Kathleen Jiang, Haimin Marshall, Andrew P. Salmon, Brian Gale, Timothy J. Dargaville, Peter A. |
author_sort | Lim, Kathleen |
collection | PubMed |
description | Apnoea, a pause in respiration, is almost ubiquitous in preterm infants born before completing 30 weeks gestation. Apnoea often begets hypoxemia and/or bradycardia, and has the potential to result in adverse neurodevelopmental consequences. Our current inability to predict apnoeic events in preterm infants requires apnoea to first be detected by monitoring device/s in order to trigger an intervention by bedside (medical or nursing) staff. Such a reactive management approach is laborious, and makes the consequences of apnoeic events inevitable. Recent technological advances and improved signal processing have allowed the possibility of developing prediction models for apnoeic events in preterm infants. However, the development of such models has numerous challenges and is only starting to show potential. This paper identifies requisite components and current gaps in developing prediction models for apnoeic events, and reviews previous studies on predicting apnoeic events in preterm infants. |
format | Online Article Text |
id | pubmed-7525015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75250152020-10-09 Predicting Apnoeic Events in Preterm Infants Lim, Kathleen Jiang, Haimin Marshall, Andrew P. Salmon, Brian Gale, Timothy J. Dargaville, Peter A. Front Pediatr Pediatrics Apnoea, a pause in respiration, is almost ubiquitous in preterm infants born before completing 30 weeks gestation. Apnoea often begets hypoxemia and/or bradycardia, and has the potential to result in adverse neurodevelopmental consequences. Our current inability to predict apnoeic events in preterm infants requires apnoea to first be detected by monitoring device/s in order to trigger an intervention by bedside (medical or nursing) staff. Such a reactive management approach is laborious, and makes the consequences of apnoeic events inevitable. Recent technological advances and improved signal processing have allowed the possibility of developing prediction models for apnoeic events in preterm infants. However, the development of such models has numerous challenges and is only starting to show potential. This paper identifies requisite components and current gaps in developing prediction models for apnoeic events, and reviews previous studies on predicting apnoeic events in preterm infants. Frontiers Media S.A. 2020-09-16 /pmc/articles/PMC7525015/ /pubmed/33042915 http://dx.doi.org/10.3389/fped.2020.00570 Text en Copyright © 2020 Lim, Jiang, Marshall, Salmon, Gale and Dargaville. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pediatrics Lim, Kathleen Jiang, Haimin Marshall, Andrew P. Salmon, Brian Gale, Timothy J. Dargaville, Peter A. Predicting Apnoeic Events in Preterm Infants |
title | Predicting Apnoeic Events in Preterm Infants |
title_full | Predicting Apnoeic Events in Preterm Infants |
title_fullStr | Predicting Apnoeic Events in Preterm Infants |
title_full_unstemmed | Predicting Apnoeic Events in Preterm Infants |
title_short | Predicting Apnoeic Events in Preterm Infants |
title_sort | predicting apnoeic events in preterm infants |
topic | Pediatrics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7525015/ https://www.ncbi.nlm.nih.gov/pubmed/33042915 http://dx.doi.org/10.3389/fped.2020.00570 |
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