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 |
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container_title | Multiple sclerosis journal - experimental, translational and clinical |
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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 |
format | Article |
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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.</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. It revealed a general dysregulation in patients with multiple sclerosis.</description><subject>Heart rate</subject><subject>Multiple sclerosis</subject><subject>Nervous system</subject><subject>Original</subject><subject>Trends</subject><issn>2055-2173</issn><issn>2055-2173</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFRWT</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kcFO3DAQQK2KqiDKB_SCLPXCZantxHZyQUKrtiAh9dKerYkzWYwSe7Ed0P4Bn10vSykU9WRr_OaNZ4aQT5ydcq71F8GkFFxXQnDOqrpS78jBNrbYBvde3PfJUUo3jDEuVQnyD2S_kkpr2TYH5GEZfHZ-DnOiU_Auh-j8it67fE3vESJ0IybqPJ3mMbv1iDTZEWNILtGIdwhjouAppBSsg-yCp2GgFmLvwFKYc_Bhcpb2mzTM3j4Cj_LeJYRUdEUSXd58JO-HIsOjp_OQ_Pr29efyYnH14_vl8vxqYWul8kLW2NsK6wYVR8EscgHStkPTKmzUgEog1Lbjtm6x7axsAbUoGaqDCmSvq0NytvOu524qLvQ5wmjW0U0QNyaAM69fvLs2q3BnWq6aRrVFcPIkiOF2xpTN5JLFcQSPZYpGKF1rKTTfop__QW_CHH1pr1AN11xWkhWK7yhbxpoiDs-f4cxsV23erLrkHL_s4jnjz2ILcLoDEqzwb9n_G38D-GC2JA</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>Hilty, Marc</creator><creator>Oldrati, Pietro</creator><creator>Barrios, Liliana</creator><creator>Müller, Tamara</creator><creator>Blumer, Claudia</creator><creator>Foege, Magdalena</creator><creator>consortium, PHRT</creator><creator>Holz, Christian</creator><creator>Lutterotti, Andreas</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>AFRWT</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8454-531X</orcidid><orcidid>https://orcid.org/0000-0002-4953-5335</orcidid><orcidid>https://orcid.org/0000-0001-5551-4306</orcidid></search><sort><creationdate>20220401</creationdate><title>Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity</title><author>Hilty, Marc ; Oldrati, Pietro ; Barrios, Liliana ; Müller, Tamara ; Blumer, Claudia ; Foege, Magdalena ; consortium, PHRT ; Holz, Christian ; Lutterotti, Andreas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-54edc3e48e61e20ce12a5c9f896e86fe62ea4cb1c49e9bc59ae72dc36ba3a5d73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Heart rate</topic><topic>Multiple sclerosis</topic><topic>Nervous system</topic><topic>Original</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>Sage Journals GOLD Open Access 2024</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Multiple sclerosis journal - experimental, translational and clinical</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hilty, Marc</au><au>Oldrati, Pietro</au><au>Barrios, Liliana</au><au>Müller, Tamara</au><au>Blumer, Claudia</au><au>Foege, Magdalena</au><au>consortium, PHRT</au><au>Holz, Christian</au><au>Lutterotti, Andreas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity</atitle><jtitle>Multiple sclerosis journal - experimental, translational and clinical</jtitle><addtitle>Mult Scler J Exp Transl Clin</addtitle><date>2022-04-01</date><risdate>2022</risdate><volume>8</volume><issue>2</issue><spage>20552173221103436</spage><epage>20552173221103436</epage><pages>20552173221103436-20552173221103436</pages><issn>2055-2173</issn><eissn>2055-2173</eissn><abstract>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.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><pmid>35677598</pmid><doi>10.1177/20552173221103436</doi><orcidid>https://orcid.org/0000-0002-8454-531X</orcidid><orcidid>https://orcid.org/0000-0002-4953-5335</orcidid><orcidid>https://orcid.org/0000-0001-5551-4306</orcidid><oa>free_for_read</oa></addata></record> |
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ispartof | Multiple sclerosis journal - experimental, translational and clinical, 2022-04, Vol.8 (2), p.20552173221103436-20552173221103436 |
issn | 2055-2173 2055-2173 |
language | eng |
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source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
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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