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Real-world heart rate norms in the Health eHeart study

Emerging technology allows patients to measure and record their heart rate (HR) remotely by photoplethysmography (PPG) using smart devices like smartphones. However, the validity and expected distribution of such measurements are unclear, making it difficult for physicians to help patients interpret...

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Autores principales: Avram, Robert, Tison, Geoffrey H., Aschbacher, Kirstin, Kuhar, Peter, Vittinghoff, Eric, Butzner, Michael, Runge, Ryan, Wu, Nancy, Pletcher, Mark J., Marcus, Gregory M., Olgin, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592896/
https://www.ncbi.nlm.nih.gov/pubmed/31304404
http://dx.doi.org/10.1038/s41746-019-0134-9
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author Avram, Robert
Tison, Geoffrey H.
Aschbacher, Kirstin
Kuhar, Peter
Vittinghoff, Eric
Butzner, Michael
Runge, Ryan
Wu, Nancy
Pletcher, Mark J.
Marcus, Gregory M.
Olgin, Jeffrey
author_facet Avram, Robert
Tison, Geoffrey H.
Aschbacher, Kirstin
Kuhar, Peter
Vittinghoff, Eric
Butzner, Michael
Runge, Ryan
Wu, Nancy
Pletcher, Mark J.
Marcus, Gregory M.
Olgin, Jeffrey
author_sort Avram, Robert
collection PubMed
description Emerging technology allows patients to measure and record their heart rate (HR) remotely by photoplethysmography (PPG) using smart devices like smartphones. However, the validity and expected distribution of such measurements are unclear, making it difficult for physicians to help patients interpret real-world, remote and on-demand HR measurements. Our goal was to validate HR-PPG, measured using a smartphone app, against HR-electrocardiogram (ECG) measurements and describe out-of-clinic, real-world, HR-PPG values according to age, demographics, body mass index, physical activity level, and disease. To validate the measurements, we obtained simultaneous HR-PPG and HR-ECG in 50 consecutive patients at our cardiology clinic. We then used data from participants enrolled in the Health eHeart cohort between 1 April 2014 and 30 April 2018 to derive real-world norms of HR-PPG according to demographics and medical conditions. HR-PPG and HR-ECG were highly correlated (Intraclass correlation = 0.90). A total of 66,788 Health eHeart Study participants contributed 3,144,332 HR-PPG measurements. The mean real-world HR was 79.1 bpm ± 14.5. The 95th percentile of real-world HR was ≤110 in individuals aged 18–45, ≤100 in those aged 45–60 and ≤95 bpm in individuals older than 60 years old. In multivariable linear regression, the number of medical conditions, female gender, increasing body mass index, and being Hispanic was associated with an increased HR, whereas increasing age was associated with a reduced HR. Our study provides the largest real-world norms for remotely obtained, real-world HR according to various strata and they may help physicians interpret and engage with patients presenting such data.
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spelling pubmed-65928962019-07-12 Real-world heart rate norms in the Health eHeart study Avram, Robert Tison, Geoffrey H. Aschbacher, Kirstin Kuhar, Peter Vittinghoff, Eric Butzner, Michael Runge, Ryan Wu, Nancy Pletcher, Mark J. Marcus, Gregory M. Olgin, Jeffrey NPJ Digit Med Article Emerging technology allows patients to measure and record their heart rate (HR) remotely by photoplethysmography (PPG) using smart devices like smartphones. However, the validity and expected distribution of such measurements are unclear, making it difficult for physicians to help patients interpret real-world, remote and on-demand HR measurements. Our goal was to validate HR-PPG, measured using a smartphone app, against HR-electrocardiogram (ECG) measurements and describe out-of-clinic, real-world, HR-PPG values according to age, demographics, body mass index, physical activity level, and disease. To validate the measurements, we obtained simultaneous HR-PPG and HR-ECG in 50 consecutive patients at our cardiology clinic. We then used data from participants enrolled in the Health eHeart cohort between 1 April 2014 and 30 April 2018 to derive real-world norms of HR-PPG according to demographics and medical conditions. HR-PPG and HR-ECG were highly correlated (Intraclass correlation = 0.90). A total of 66,788 Health eHeart Study participants contributed 3,144,332 HR-PPG measurements. The mean real-world HR was 79.1 bpm ± 14.5. The 95th percentile of real-world HR was ≤110 in individuals aged 18–45, ≤100 in those aged 45–60 and ≤95 bpm in individuals older than 60 years old. In multivariable linear regression, the number of medical conditions, female gender, increasing body mass index, and being Hispanic was associated with an increased HR, whereas increasing age was associated with a reduced HR. Our study provides the largest real-world norms for remotely obtained, real-world HR according to various strata and they may help physicians interpret and engage with patients presenting such data. Nature Publishing Group UK 2019-06-25 /pmc/articles/PMC6592896/ /pubmed/31304404 http://dx.doi.org/10.1038/s41746-019-0134-9 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Avram, Robert
Tison, Geoffrey H.
Aschbacher, Kirstin
Kuhar, Peter
Vittinghoff, Eric
Butzner, Michael
Runge, Ryan
Wu, Nancy
Pletcher, Mark J.
Marcus, Gregory M.
Olgin, Jeffrey
Real-world heart rate norms in the Health eHeart study
title Real-world heart rate norms in the Health eHeart study
title_full Real-world heart rate norms in the Health eHeart study
title_fullStr Real-world heart rate norms in the Health eHeart study
title_full_unstemmed Real-world heart rate norms in the Health eHeart study
title_short Real-world heart rate norms in the Health eHeart study
title_sort real-world heart rate norms in the health eheart study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592896/
https://www.ncbi.nlm.nih.gov/pubmed/31304404
http://dx.doi.org/10.1038/s41746-019-0134-9
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