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Assessment of neonatal respiratory rate variability
Accurate measurement of respiratory rate (RR) in neonates is challenging due to high neonatal RR variability (RRV). There is growing evidence that RRV measurement could inform and guide neonatal care. We sought to quantify neonatal RRV during a clinical study in which we compared multiparameter cont...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637627/ https://www.ncbi.nlm.nih.gov/pubmed/35332406 http://dx.doi.org/10.1007/s10877-022-00840-2 |
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author | Coleman, Jesse Ginsburg, Amy Sarah Macharia, William M. Ochieng, Roseline Chomba, Dorothy Zhou, Guohai Dunsmuir, Dustin Karlen, Walter Ansermino, J. Mark |
author_facet | Coleman, Jesse Ginsburg, Amy Sarah Macharia, William M. Ochieng, Roseline Chomba, Dorothy Zhou, Guohai Dunsmuir, Dustin Karlen, Walter Ansermino, J. Mark |
author_sort | Coleman, Jesse |
collection | PubMed |
description | Accurate measurement of respiratory rate (RR) in neonates is challenging due to high neonatal RR variability (RRV). There is growing evidence that RRV measurement could inform and guide neonatal care. We sought to quantify neonatal RRV during a clinical study in which we compared multiparameter continuous physiological monitoring (MCPM) devices. Measurements of capnography-recorded exhaled carbon dioxide across 60-s epochs were collected from neonates admitted to the neonatal unit at Aga Khan University-Nairobi hospital. Breaths were manually counted from capnograms and using an automated signal detection algorithm which also calculated mean and median RR for each epoch. Outcome measures were between- and within-neonate RRV, between- and within-epoch RRV, and 95% limits of agreement, bias, and root-mean-square deviation. Twenty-seven neonates were included, with 130 epochs analysed. Mean manual breath count (MBC) was 48 breaths per minute. Median RRV ranged from 11.5% (interquartile range (IQR) 6.8–18.9%) to 28.1% (IQR 23.5–36.7%). Bias and limits of agreement for MBC vs algorithm-derived breath count, MBC vs algorithm-derived median breath rate, MBC vs algorithm-derived mean breath rate were − 0.5 (− 2.7, 1.66), − 3.16 (− 12.12, 5.8), and − 3.99 (− 11.3, 3.32), respectively. The marked RRV highlights the challenge of performing accurate RR measurements in neonates. More research is required to optimize the use of RRV to improve care. When evaluating MCPM devices, accuracy thresholds should be less stringent in newborns due to increased RRV. Lastly, median RR, which discounts the impact of extreme outliers, may be more reflective of the underlying physiological control of breathing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10877-022-00840-2. |
format | Online Article Text |
id | pubmed-9637627 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-96376272022-11-08 Assessment of neonatal respiratory rate variability Coleman, Jesse Ginsburg, Amy Sarah Macharia, William M. Ochieng, Roseline Chomba, Dorothy Zhou, Guohai Dunsmuir, Dustin Karlen, Walter Ansermino, J. Mark J Clin Monit Comput Original Research Accurate measurement of respiratory rate (RR) in neonates is challenging due to high neonatal RR variability (RRV). There is growing evidence that RRV measurement could inform and guide neonatal care. We sought to quantify neonatal RRV during a clinical study in which we compared multiparameter continuous physiological monitoring (MCPM) devices. Measurements of capnography-recorded exhaled carbon dioxide across 60-s epochs were collected from neonates admitted to the neonatal unit at Aga Khan University-Nairobi hospital. Breaths were manually counted from capnograms and using an automated signal detection algorithm which also calculated mean and median RR for each epoch. Outcome measures were between- and within-neonate RRV, between- and within-epoch RRV, and 95% limits of agreement, bias, and root-mean-square deviation. Twenty-seven neonates were included, with 130 epochs analysed. Mean manual breath count (MBC) was 48 breaths per minute. Median RRV ranged from 11.5% (interquartile range (IQR) 6.8–18.9%) to 28.1% (IQR 23.5–36.7%). Bias and limits of agreement for MBC vs algorithm-derived breath count, MBC vs algorithm-derived median breath rate, MBC vs algorithm-derived mean breath rate were − 0.5 (− 2.7, 1.66), − 3.16 (− 12.12, 5.8), and − 3.99 (− 11.3, 3.32), respectively. The marked RRV highlights the challenge of performing accurate RR measurements in neonates. More research is required to optimize the use of RRV to improve care. When evaluating MCPM devices, accuracy thresholds should be less stringent in newborns due to increased RRV. Lastly, median RR, which discounts the impact of extreme outliers, may be more reflective of the underlying physiological control of breathing. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10877-022-00840-2. Springer Netherlands 2022-03-25 2022 /pmc/articles/PMC9637627/ /pubmed/35332406 http://dx.doi.org/10.1007/s10877-022-00840-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Research Coleman, Jesse Ginsburg, Amy Sarah Macharia, William M. Ochieng, Roseline Chomba, Dorothy Zhou, Guohai Dunsmuir, Dustin Karlen, Walter Ansermino, J. Mark Assessment of neonatal respiratory rate variability |
title | Assessment of neonatal respiratory rate variability |
title_full | Assessment of neonatal respiratory rate variability |
title_fullStr | Assessment of neonatal respiratory rate variability |
title_full_unstemmed | Assessment of neonatal respiratory rate variability |
title_short | Assessment of neonatal respiratory rate variability |
title_sort | assessment of neonatal respiratory rate variability |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637627/ https://www.ncbi.nlm.nih.gov/pubmed/35332406 http://dx.doi.org/10.1007/s10877-022-00840-2 |
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