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Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease

Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity...

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Autores principales: Schubert, Charlotte, Archer, Gareth, Zelis, Jo M., Nordmeyer, Sarah, Runte, Kilian, Hennemuth, Anja, Berger, Felix, Falk, Volkmar, Tonino, Pim A. L., Hose, Rod, ter Horst, Herman, Kuehne, Titus, Kelm, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347580/
https://www.ncbi.nlm.nih.gov/pubmed/32665977
http://dx.doi.org/10.1038/s41746-020-0299-2
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author Schubert, Charlotte
Archer, Gareth
Zelis, Jo M.
Nordmeyer, Sarah
Runte, Kilian
Hennemuth, Anja
Berger, Felix
Falk, Volkmar
Tonino, Pim A. L.
Hose, Rod
ter Horst, Herman
Kuehne, Titus
Kelm, Marcus
author_facet Schubert, Charlotte
Archer, Gareth
Zelis, Jo M.
Nordmeyer, Sarah
Runte, Kilian
Hennemuth, Anja
Berger, Felix
Falk, Volkmar
Tonino, Pim A. L.
Hose, Rod
ter Horst, Herman
Kuehne, Titus
Kelm, Marcus
author_sort Schubert, Charlotte
collection PubMed
description Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of n = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (p < 0.001; R(2) = 0.48). The uncertainty of these predictions is demonstrated.
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spelling pubmed-73475802020-07-13 Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease Schubert, Charlotte Archer, Gareth Zelis, Jo M. Nordmeyer, Sarah Runte, Kilian Hennemuth, Anja Berger, Felix Falk, Volkmar Tonino, Pim A. L. Hose, Rod ter Horst, Herman Kuehne, Titus Kelm, Marcus NPJ Digit Med Article Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of n = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (p < 0.001; R(2) = 0.48). The uncertainty of these predictions is demonstrated. Nature Publishing Group UK 2020-07-09 /pmc/articles/PMC7347580/ /pubmed/32665977 http://dx.doi.org/10.1038/s41746-020-0299-2 Text en © The Author(s) 2020 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
Schubert, Charlotte
Archer, Gareth
Zelis, Jo M.
Nordmeyer, Sarah
Runte, Kilian
Hennemuth, Anja
Berger, Felix
Falk, Volkmar
Tonino, Pim A. L.
Hose, Rod
ter Horst, Herman
Kuehne, Titus
Kelm, Marcus
Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_full Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_fullStr Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_full_unstemmed Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_short Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_sort wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347580/
https://www.ncbi.nlm.nih.gov/pubmed/32665977
http://dx.doi.org/10.1038/s41746-020-0299-2
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