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Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis
Wearable sensors are becoming increasingly more available in Parkinson’s disease and are used to measure motor function. Whether non-motor symptoms (NMS) can also be measured with these wearable sensors remains unclear. We therefore performed a retrospective, exploratory, analysis of 108 patients wi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775049/ https://www.ncbi.nlm.nih.gov/pubmed/31602393 http://dx.doi.org/10.1038/s41531-019-0094-4 |
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author | van Wamelen, Daniel J. Hota, Shweta Podlewska, Aleksandra Leta, Valentina Trivedi, Dhaval Rizos, Alexandra Parry, Miriam Chaudhuri, K. Ray |
author_facet | van Wamelen, Daniel J. Hota, Shweta Podlewska, Aleksandra Leta, Valentina Trivedi, Dhaval Rizos, Alexandra Parry, Miriam Chaudhuri, K. Ray |
author_sort | van Wamelen, Daniel J. |
collection | PubMed |
description | Wearable sensors are becoming increasingly more available in Parkinson’s disease and are used to measure motor function. Whether non-motor symptoms (NMS) can also be measured with these wearable sensors remains unclear. We therefore performed a retrospective, exploratory, analysis of 108 patients with a diagnosis of idiopathic Parkinson’s disease enroled in the Non-motor Longitudinal International Study (UKCRN No. 10084) at King’s College Hospital, London, to determine the association between the range and nature of NMS and an accelerometer-based outcome measure of bradykinesia (BKS) and dyskinesia (DKS). NMS were assessed by the validated NMS Scale, and included, e.g., cognition, mood and sleep, and gastrointestinal, urinary and sexual problems. Multiple linear regression modelling was used to identify NMS associated with BKS and DKS. We found that BKS was associated with domains 6 (gastrointestinal tract; p = 0.006) and 8 (sexual function; p = 0.003) of the NMS scale. DKS was associated with domains 3 (mood/cognition; p = 0.016), 4 (perceptual problems; p = 0.025), 6 (gastrointestinal tract; p = 0.029) and 9 (miscellaneous, p = 0.003). In the separate domains, constipation was significantly associated with BKS. Delusions, dysphagia, hyposmia, weight change and hyperhidrosis were identified as significantly associated with DKS. None of the NMSS domains were associated with disease duration (p ≥ 0.08). In conclusion, measures of BKS and DKS were mainly associated with gastrointestinal problems, independent of disease duration, showing the potential for wearable devices to pick up on these symptoms. These exploratory results deserve further exploration, and more research on this topic in the form of comprehensive large-scale studies is needed. |
format | Online Article Text |
id | pubmed-6775049 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67750492019-10-10 Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis van Wamelen, Daniel J. Hota, Shweta Podlewska, Aleksandra Leta, Valentina Trivedi, Dhaval Rizos, Alexandra Parry, Miriam Chaudhuri, K. Ray NPJ Parkinsons Dis Article Wearable sensors are becoming increasingly more available in Parkinson’s disease and are used to measure motor function. Whether non-motor symptoms (NMS) can also be measured with these wearable sensors remains unclear. We therefore performed a retrospective, exploratory, analysis of 108 patients with a diagnosis of idiopathic Parkinson’s disease enroled in the Non-motor Longitudinal International Study (UKCRN No. 10084) at King’s College Hospital, London, to determine the association between the range and nature of NMS and an accelerometer-based outcome measure of bradykinesia (BKS) and dyskinesia (DKS). NMS were assessed by the validated NMS Scale, and included, e.g., cognition, mood and sleep, and gastrointestinal, urinary and sexual problems. Multiple linear regression modelling was used to identify NMS associated with BKS and DKS. We found that BKS was associated with domains 6 (gastrointestinal tract; p = 0.006) and 8 (sexual function; p = 0.003) of the NMS scale. DKS was associated with domains 3 (mood/cognition; p = 0.016), 4 (perceptual problems; p = 0.025), 6 (gastrointestinal tract; p = 0.029) and 9 (miscellaneous, p = 0.003). In the separate domains, constipation was significantly associated with BKS. Delusions, dysphagia, hyposmia, weight change and hyperhidrosis were identified as significantly associated with DKS. None of the NMSS domains were associated with disease duration (p ≥ 0.08). In conclusion, measures of BKS and DKS were mainly associated with gastrointestinal problems, independent of disease duration, showing the potential for wearable devices to pick up on these symptoms. These exploratory results deserve further exploration, and more research on this topic in the form of comprehensive large-scale studies is needed. Nature Publishing Group UK 2019-10-02 /pmc/articles/PMC6775049/ /pubmed/31602393 http://dx.doi.org/10.1038/s41531-019-0094-4 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 van Wamelen, Daniel J. Hota, Shweta Podlewska, Aleksandra Leta, Valentina Trivedi, Dhaval Rizos, Alexandra Parry, Miriam Chaudhuri, K. Ray Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis |
title | Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis |
title_full | Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis |
title_fullStr | Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis |
title_full_unstemmed | Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis |
title_short | Non-motor correlates of wrist-worn wearable sensor use in Parkinson’s disease: an exploratory analysis |
title_sort | non-motor correlates of wrist-worn wearable sensor use in parkinson’s disease: an exploratory analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775049/ https://www.ncbi.nlm.nih.gov/pubmed/31602393 http://dx.doi.org/10.1038/s41531-019-0094-4 |
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