Pam C G Molenaar, Samantha Noteboom, David R van Nederpelt, Eva A Krijnen, Julia R Jelgerhuis, Ka-Hoo Lam, Gerrieke B Druijff-van de Woestijne, Kim A Meijer, Pim van Oirschot, Brigit A de Jong, Iman Brouwer, Bas Jasperse, Vincent de Groot, Bernard M J Uitdehaag, Menno M Schoonheim, Eva M M Strijbis, Joep Killestein
{"title":"数字结果测量与多发性硬化症患者的脑萎缩有关。","authors":"Pam C G Molenaar, Samantha Noteboom, David R van Nederpelt, Eva A Krijnen, Julia R Jelgerhuis, Ka-Hoo Lam, Gerrieke B Druijff-van de Woestijne, Kim A Meijer, Pim van Oirschot, Brigit A de Jong, Iman Brouwer, Bas Jasperse, Vincent de Groot, Bernard M J Uitdehaag, Menno M Schoonheim, Eva M M Strijbis, Joep Killestein","doi":"10.1007/s00415-024-12516-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Digital monitoring of people with multiple sclerosis (PwMS) using smartphone-based monitoring tools is a promising method to assess disease activity and progression.</p><p><strong>Objective: </strong>To study cross-sectional and longitudinal associations between active and passive digital monitoring parameters and MRI volume measures in PwMS.</p><p><strong>Methods: </strong>In this prospective study, 92 PwMS were included. Clinical tests [Expanded Disability Status Scale (EDSS), Timed 25 Foot Walk test (T25FW), 9-Hole Peg Test (NHPT), and Symbol Digit Modalities Test (SDMT)] and structural MRI scans were performed at baseline (M0) and 12-month follow-up (M12). Active monitoring included the smartphone-based Symbol Digit Modalities Test (sSDMT) and 2 Minute Walk Test (s2MWT), while passive monitoring was based on smartphone keystroke dynamics (KD). Linear regression analyses were used to determine cross-sectional and longitudinal relations between digital and clinical outcomes and brain volumes, with age, disease duration and sex as covariates.</p><p><strong>Results: </strong>In PwMS, both sSDMT and SDMT were associated with thalamic volumes and lesion volumes. KD were related to brain, ventricular, thalamic and lesion volumes. No relations were found between s2MWT and MRI volumes. NHPT scores were associated with lesion volumes only, while EDSS and T25FW were not related to MRI. No longitudinal associations were found for any of the outcome measures between M0 and M12.</p><p><strong>Conclusion: </strong>Our results show clear cross-sectional correlations between digital biomarkers and brain volumes in PwMS, which were not all present for conventional clinical outcomes, supporting the potential added value of digital monitoring tools.</p>","PeriodicalId":16558,"journal":{"name":"Journal of Neurology","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11377687/pdf/","citationCount":"0","resultStr":"{\"title\":\"Digital outcome measures are associated with brain atrophy in patients with multiple sclerosis.\",\"authors\":\"Pam C G Molenaar, Samantha Noteboom, David R van Nederpelt, Eva A Krijnen, Julia R Jelgerhuis, Ka-Hoo Lam, Gerrieke B Druijff-van de Woestijne, Kim A Meijer, Pim van Oirschot, Brigit A de Jong, Iman Brouwer, Bas Jasperse, Vincent de Groot, Bernard M J Uitdehaag, Menno M Schoonheim, Eva M M Strijbis, Joep Killestein\",\"doi\":\"10.1007/s00415-024-12516-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Digital monitoring of people with multiple sclerosis (PwMS) using smartphone-based monitoring tools is a promising method to assess disease activity and progression.</p><p><strong>Objective: </strong>To study cross-sectional and longitudinal associations between active and passive digital monitoring parameters and MRI volume measures in PwMS.</p><p><strong>Methods: </strong>In this prospective study, 92 PwMS were included. Clinical tests [Expanded Disability Status Scale (EDSS), Timed 25 Foot Walk test (T25FW), 9-Hole Peg Test (NHPT), and Symbol Digit Modalities Test (SDMT)] and structural MRI scans were performed at baseline (M0) and 12-month follow-up (M12). Active monitoring included the smartphone-based Symbol Digit Modalities Test (sSDMT) and 2 Minute Walk Test (s2MWT), while passive monitoring was based on smartphone keystroke dynamics (KD). Linear regression analyses were used to determine cross-sectional and longitudinal relations between digital and clinical outcomes and brain volumes, with age, disease duration and sex as covariates.</p><p><strong>Results: </strong>In PwMS, both sSDMT and SDMT were associated with thalamic volumes and lesion volumes. KD were related to brain, ventricular, thalamic and lesion volumes. No relations were found between s2MWT and MRI volumes. NHPT scores were associated with lesion volumes only, while EDSS and T25FW were not related to MRI. No longitudinal associations were found for any of the outcome measures between M0 and M12.</p><p><strong>Conclusion: </strong>Our results show clear cross-sectional correlations between digital biomarkers and brain volumes in PwMS, which were not all present for conventional clinical outcomes, supporting the potential added value of digital monitoring tools.</p>\",\"PeriodicalId\":16558,\"journal\":{\"name\":\"Journal of Neurology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11377687/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00415-024-12516-9\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/15 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00415-024-12516-9","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Digital outcome measures are associated with brain atrophy in patients with multiple sclerosis.
Background: Digital monitoring of people with multiple sclerosis (PwMS) using smartphone-based monitoring tools is a promising method to assess disease activity and progression.
Objective: To study cross-sectional and longitudinal associations between active and passive digital monitoring parameters and MRI volume measures in PwMS.
Methods: In this prospective study, 92 PwMS were included. Clinical tests [Expanded Disability Status Scale (EDSS), Timed 25 Foot Walk test (T25FW), 9-Hole Peg Test (NHPT), and Symbol Digit Modalities Test (SDMT)] and structural MRI scans were performed at baseline (M0) and 12-month follow-up (M12). Active monitoring included the smartphone-based Symbol Digit Modalities Test (sSDMT) and 2 Minute Walk Test (s2MWT), while passive monitoring was based on smartphone keystroke dynamics (KD). Linear regression analyses were used to determine cross-sectional and longitudinal relations between digital and clinical outcomes and brain volumes, with age, disease duration and sex as covariates.
Results: In PwMS, both sSDMT and SDMT were associated with thalamic volumes and lesion volumes. KD were related to brain, ventricular, thalamic and lesion volumes. No relations were found between s2MWT and MRI volumes. NHPT scores were associated with lesion volumes only, while EDSS and T25FW were not related to MRI. No longitudinal associations were found for any of the outcome measures between M0 and M12.
Conclusion: Our results show clear cross-sectional correlations between digital biomarkers and brain volumes in PwMS, which were not all present for conventional clinical outcomes, supporting the potential added value of digital monitoring tools.
期刊介绍：
The Journal of Neurology is an international peer-reviewed journal which provides a source for publishing original communications and reviews on clinical neurology covering the whole field.
In addition, Letters to the Editors serve as a forum for clinical cases and the exchange of ideas which highlight important new findings. A section on Neurological progress serves to summarise the major findings in certain fields of neurology. Commentaries on new developments in clinical neuroscience, which may be commissioned or submitted, are published as editorials.
Every neurologist interested in the current diagnosis and treatment of neurological disorders needs access to the information contained in this valuable journal.
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