Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity

Background Dysfunction of the autonomic nervous system is common in multiple sclerosis patients, and probably present years before diagnosis, but its role in the disease is poorly understood. Objectives To study the autonomic nervous system in patients with multiple sclerosis using cardiac autonomic...

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Veröffentlicht in:Multiple sclerosis journal - experimental, translational and clinical translational and clinical, 2022-04, Vol.8 (2), p.20552173221103436-20552173221103436
Hauptverfasser: Hilty, Marc, Oldrati, Pietro, Barrios, Liliana, Müller, Tamara, Blumer, Claudia, Foege, Magdalena, consortium, PHRT, Holz, Christian, Lutterotti, Andreas
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container_end_page 20552173221103436
container_issue 2
container_start_page 20552173221103436
container_title Multiple sclerosis journal - experimental, translational and clinical
container_volume 8
creator Hilty, Marc
Oldrati, Pietro
Barrios, Liliana
Müller, Tamara
Blumer, Claudia
Foege, Magdalena
consortium, PHRT
Holz, Christian
Lutterotti, Andreas
description Background Dysfunction of the autonomic nervous system is common in multiple sclerosis patients, and probably present years before diagnosis, but its role in the disease is poorly understood. Objectives To study the autonomic nervous system in patients with multiple sclerosis using cardiac autonomic regulation measured with a wearable. Methods In a two-week study, we present a method to standardize the measurement of heart rate variability using a wearable sensor that allows the investigation of circadian trends. Using this method, we investigate the relationship of cardiac autonomic dysfunction with clinical hallmarks and subjective burden of fatigue and autonomic symptoms. Results In 55 patients with multiple sclerosis and 24 healthy age- and gender-matched controls, we assessed the cumulative circadian heart-rate variability trend of two weeks. The trend analysis revealed an effect of inflammation (P = 0.0490, SMD = -0.5466) and progressive neurodegeneration (P = 0.0016, SMD = 1.1491) on cardiac autonomic function. No association with subjective symptoms could be found. Conclusions Trend-based heart rate variability measured with a wearable provides the opportunity for unobtrusive long-term assessment of autonomic functions in patients with multiple sclerosis. It revealed a general dysregulation in patients with multiple sclerosis.
doi_str_mv 10.1177/20552173221103436
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Objectives To study the autonomic nervous system in patients with multiple sclerosis using cardiac autonomic regulation measured with a wearable. Methods In a two-week study, we present a method to standardize the measurement of heart rate variability using a wearable sensor that allows the investigation of circadian trends. Using this method, we investigate the relationship of cardiac autonomic dysfunction with clinical hallmarks and subjective burden of fatigue and autonomic symptoms. Results In 55 patients with multiple sclerosis and 24 healthy age- and gender-matched controls, we assessed the cumulative circadian heart-rate variability trend of two weeks. The trend analysis revealed an effect of inflammation (P = 0.0490, SMD = -0.5466) and progressive neurodegeneration (P = 0.0016, SMD = 1.1491) on cardiac autonomic function. No association with subjective symptoms could be found. Conclusions Trend-based heart rate variability measured with a wearable provides the opportunity for unobtrusive long-term assessment of autonomic functions in patients with multiple sclerosis. It revealed a general dysregulation in patients with multiple sclerosis.</description><identifier>ISSN: 2055-2173</identifier><identifier>EISSN: 2055-2173</identifier><identifier>DOI: 10.1177/20552173221103436</identifier><identifier>PMID: 35677598</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Heart rate ; Multiple sclerosis ; Nervous system ; Original ; Trends</subject><ispartof>Multiple sclerosis journal - experimental, translational and clinical, 2022-04, Vol.8 (2), p.20552173221103436-20552173221103436</ispartof><rights>The Author(s), 2022</rights><rights>The Author(s), 2022.</rights><rights>The Author(s), 2022. This work is licensed under the Creative Commons Attribution License https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s), 2022 2022 SAGE Publications Ltd unless otherwise noted. Manuscript content on this site is licensed under Creative Commons Licenses</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-54edc3e48e61e20ce12a5c9f896e86fe62ea4cb1c49e9bc59ae72dc36ba3a5d73</citedby><cites>FETCH-LOGICAL-c466t-54edc3e48e61e20ce12a5c9f896e86fe62ea4cb1c49e9bc59ae72dc36ba3a5d73</cites><orcidid>0000-0002-8454-531X ; 0000-0002-4953-5335 ; 0000-0001-5551-4306</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168869/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168869/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35677598$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hilty, Marc</creatorcontrib><creatorcontrib>Oldrati, Pietro</creatorcontrib><creatorcontrib>Barrios, Liliana</creatorcontrib><creatorcontrib>Müller, Tamara</creatorcontrib><creatorcontrib>Blumer, Claudia</creatorcontrib><creatorcontrib>Foege, Magdalena</creatorcontrib><creatorcontrib>consortium, PHRT</creatorcontrib><creatorcontrib>Holz, Christian</creatorcontrib><creatorcontrib>Lutterotti, Andreas</creatorcontrib><title>Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity</title><title>Multiple sclerosis journal - experimental, translational and clinical</title><addtitle>Mult Scler J Exp Transl Clin</addtitle><description>Background Dysfunction of the autonomic nervous system is common in multiple sclerosis patients, and probably present years before diagnosis, but its role in the disease is poorly understood. Objectives To study the autonomic nervous system in patients with multiple sclerosis using cardiac autonomic regulation measured with a wearable. Methods In a two-week study, we present a method to standardize the measurement of heart rate variability using a wearable sensor that allows the investigation of circadian trends. Using this method, we investigate the relationship of cardiac autonomic dysfunction with clinical hallmarks and subjective burden of fatigue and autonomic symptoms. Results In 55 patients with multiple sclerosis and 24 healthy age- and gender-matched controls, we assessed the cumulative circadian heart-rate variability trend of two weeks. The trend analysis revealed an effect of inflammation (P = 0.0490, SMD = -0.5466) and progressive neurodegeneration (P = 0.0016, SMD = 1.1491) on cardiac autonomic function. No association with subjective symptoms could be found. Conclusions Trend-based heart rate variability measured with a wearable provides the opportunity for unobtrusive long-term assessment of autonomic functions in patients with multiple sclerosis. 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2055-2173
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subjects Heart rate
Multiple sclerosis
Nervous system
Original
Trends
title Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity
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