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Pulse oximetry-derived respiratory rate in general care floor patients

Respiratory rate is recognized as a clinically important parameter for monitoring respiratory status on the general care floor (GCF). Currently, intermittent manual assessment of respiratory rate is the standard of care on the GCF. This technique has several clinically-relevant shortcomings, includi...

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Autores principales: Addison, Paul S., Watson, James N., Mestek, Michael L., Ochs, James P., Uribe, Alberto A., Bergese, Sergio D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309914/
https://www.ncbi.nlm.nih.gov/pubmed/24796734
http://dx.doi.org/10.1007/s10877-014-9575-5
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author Addison, Paul S.
Watson, James N.
Mestek, Michael L.
Ochs, James P.
Uribe, Alberto A.
Bergese, Sergio D.
author_facet Addison, Paul S.
Watson, James N.
Mestek, Michael L.
Ochs, James P.
Uribe, Alberto A.
Bergese, Sergio D.
author_sort Addison, Paul S.
collection PubMed
description Respiratory rate is recognized as a clinically important parameter for monitoring respiratory status on the general care floor (GCF). Currently, intermittent manual assessment of respiratory rate is the standard of care on the GCF. This technique has several clinically-relevant shortcomings, including the following: (1) it is not a continuous measurement, (2) it is prone to observer error, and (3) it is inefficient for the clinical staff. We report here on an algorithm designed to meet clinical needs by providing respiratory rate through a standard pulse oximeter. Finger photoplethysmograms were collected from a cohort of 63 GCF patients monitored during free breathing over a 25-min period. These were processed using a novel in-house algorithm based on continuous wavelet-transform technology within an infrastructure incorporating confidence-based averaging and logical decision-making processes. The computed oximeter respiratory rates (RR(oxi)) were compared to an end-tidal CO(2) reference rate (RR(ETCO2)). RR(ETCO2) ranged from a lowest recorded value of 4.7 breaths per minute (brpm) to a highest value of 32.0 brpm. The mean respiratory rate was 16.3 brpm with standard deviation of 4.7 brpm. Excellent agreement was found between RR(oxi) and RR(ETCO2), with a mean difference of −0.48 brpm and standard deviation of 1.77 brpm. These data demonstrate that our novel respiratory rate algorithm is a potentially viable method of monitoring respiratory rate in GCF patients. This technology provides the means to facilitate continuous monitoring of respiratory rate, coupled with arterial oxygen saturation and pulse rate, using a single non-invasive sensor in low acuity settings.
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spelling pubmed-43099142015-02-02 Pulse oximetry-derived respiratory rate in general care floor patients Addison, Paul S. Watson, James N. Mestek, Michael L. Ochs, James P. Uribe, Alberto A. Bergese, Sergio D. J Clin Monit Comput Original Research Respiratory rate is recognized as a clinically important parameter for monitoring respiratory status on the general care floor (GCF). Currently, intermittent manual assessment of respiratory rate is the standard of care on the GCF. This technique has several clinically-relevant shortcomings, including the following: (1) it is not a continuous measurement, (2) it is prone to observer error, and (3) it is inefficient for the clinical staff. We report here on an algorithm designed to meet clinical needs by providing respiratory rate through a standard pulse oximeter. Finger photoplethysmograms were collected from a cohort of 63 GCF patients monitored during free breathing over a 25-min period. These were processed using a novel in-house algorithm based on continuous wavelet-transform technology within an infrastructure incorporating confidence-based averaging and logical decision-making processes. The computed oximeter respiratory rates (RR(oxi)) were compared to an end-tidal CO(2) reference rate (RR(ETCO2)). RR(ETCO2) ranged from a lowest recorded value of 4.7 breaths per minute (brpm) to a highest value of 32.0 brpm. The mean respiratory rate was 16.3 brpm with standard deviation of 4.7 brpm. Excellent agreement was found between RR(oxi) and RR(ETCO2), with a mean difference of −0.48 brpm and standard deviation of 1.77 brpm. These data demonstrate that our novel respiratory rate algorithm is a potentially viable method of monitoring respiratory rate in GCF patients. This technology provides the means to facilitate continuous monitoring of respiratory rate, coupled with arterial oxygen saturation and pulse rate, using a single non-invasive sensor in low acuity settings. Springer Netherlands 2014-05-06 2015 /pmc/articles/PMC4309914/ /pubmed/24796734 http://dx.doi.org/10.1007/s10877-014-9575-5 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Original Research
Addison, Paul S.
Watson, James N.
Mestek, Michael L.
Ochs, James P.
Uribe, Alberto A.
Bergese, Sergio D.
Pulse oximetry-derived respiratory rate in general care floor patients
title Pulse oximetry-derived respiratory rate in general care floor patients
title_full Pulse oximetry-derived respiratory rate in general care floor patients
title_fullStr Pulse oximetry-derived respiratory rate in general care floor patients
title_full_unstemmed Pulse oximetry-derived respiratory rate in general care floor patients
title_short Pulse oximetry-derived respiratory rate in general care floor patients
title_sort pulse oximetry-derived respiratory rate in general care floor patients
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309914/
https://www.ncbi.nlm.nih.gov/pubmed/24796734
http://dx.doi.org/10.1007/s10877-014-9575-5
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