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Clinical validation of a wearable respiratory rate device: A brief report

BACKGROUND: Respiratory rate (RR) is used for the diagnosis and management of medical conditions and can predict clinical changes. Heavy workload, understaffing, and errors related to poor recording make it underutilized. Wearable devices may facilitate its use. METHODS: RR measurements using a wear...

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Autores principales: Eisenkraft, Arik, Goldstein, Nir, Ben Ishay, Arik, Fons, Meir, Tabi, Michael, Sherman, Anna Danielle, Merin, Roei, Nachman, Dean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461800/
https://www.ncbi.nlm.nih.gov/pubmed/37612250
http://dx.doi.org/10.1177/14799731231198865
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author Eisenkraft, Arik
Goldstein, Nir
Ben Ishay, Arik
Fons, Meir
Tabi, Michael
Sherman, Anna Danielle
Merin, Roei
Nachman, Dean
author_facet Eisenkraft, Arik
Goldstein, Nir
Ben Ishay, Arik
Fons, Meir
Tabi, Michael
Sherman, Anna Danielle
Merin, Roei
Nachman, Dean
author_sort Eisenkraft, Arik
collection PubMed
description BACKGROUND: Respiratory rate (RR) is used for the diagnosis and management of medical conditions and can predict clinical changes. Heavy workload, understaffing, and errors related to poor recording make it underutilized. Wearable devices may facilitate its use. METHODS: RR measurements using a wearable photoplethysmography-based monitor were compared with medical grade devices in complementary clinical scenarios: Study one included a comparison to a capnograph in 35 healthy volunteers; Study two included a comparison to a ventilator monitor in 18 ventilated patients; and Study three included a comparison to capnograph in 92 COVID-19 patients with active pulmonary disease. Pearson’s correlations and Bland-Altman analysis were used to assess the accuracy and agreement between the measurement techniques, including stratification for Body Mass Index (BMI) and skin tone. Statistical significance was set at p ≤ 0.05. RESULTS: High correlation was found in all studies (r = 0.991, 0.884, and 0.888, respectively, p < 0.001 for all). 95% LOA of ±2.3, 1.7-(−1.6), and ±3.9 with a bias of < 0.1 breaths per minute was found in Bland-Altman analysis in studies 1,2, and 3, respectively. In all, high accordance was found in all sub-groups. CONCLUSIONS: RR measurements using the wearable monitor were highly-correlated with medical-grade devices in various clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT03603860.
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spelling pubmed-104618002023-08-29 Clinical validation of a wearable respiratory rate device: A brief report Eisenkraft, Arik Goldstein, Nir Ben Ishay, Arik Fons, Meir Tabi, Michael Sherman, Anna Danielle Merin, Roei Nachman, Dean Chron Respir Dis Original Paper BACKGROUND: Respiratory rate (RR) is used for the diagnosis and management of medical conditions and can predict clinical changes. Heavy workload, understaffing, and errors related to poor recording make it underutilized. Wearable devices may facilitate its use. METHODS: RR measurements using a wearable photoplethysmography-based monitor were compared with medical grade devices in complementary clinical scenarios: Study one included a comparison to a capnograph in 35 healthy volunteers; Study two included a comparison to a ventilator monitor in 18 ventilated patients; and Study three included a comparison to capnograph in 92 COVID-19 patients with active pulmonary disease. Pearson’s correlations and Bland-Altman analysis were used to assess the accuracy and agreement between the measurement techniques, including stratification for Body Mass Index (BMI) and skin tone. Statistical significance was set at p ≤ 0.05. RESULTS: High correlation was found in all studies (r = 0.991, 0.884, and 0.888, respectively, p < 0.001 for all). 95% LOA of ±2.3, 1.7-(−1.6), and ±3.9 with a bias of < 0.1 breaths per minute was found in Bland-Altman analysis in studies 1,2, and 3, respectively. In all, high accordance was found in all sub-groups. CONCLUSIONS: RR measurements using the wearable monitor were highly-correlated with medical-grade devices in various clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT03603860. SAGE Publications 2023-08-23 /pmc/articles/PMC10461800/ /pubmed/37612250 http://dx.doi.org/10.1177/14799731231198865 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Paper
Eisenkraft, Arik
Goldstein, Nir
Ben Ishay, Arik
Fons, Meir
Tabi, Michael
Sherman, Anna Danielle
Merin, Roei
Nachman, Dean
Clinical validation of a wearable respiratory rate device: A brief report
title Clinical validation of a wearable respiratory rate device: A brief report
title_full Clinical validation of a wearable respiratory rate device: A brief report
title_fullStr Clinical validation of a wearable respiratory rate device: A brief report
title_full_unstemmed Clinical validation of a wearable respiratory rate device: A brief report
title_short Clinical validation of a wearable respiratory rate device: A brief report
title_sort clinical validation of a wearable respiratory rate device: a brief report
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461800/
https://www.ncbi.nlm.nih.gov/pubmed/37612250
http://dx.doi.org/10.1177/14799731231198865
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