Evidence map›Paper›PMID 42007625›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2026

Accelerometry-derived activity fragmentation as a predictor of brain atrophy and disability progression in multiple sclerosis.

Angeliki G Filippatou, Muraleetharan Sanjayan, Blake E Dewey, Evan Johnson, Pratim Guha Niyogi, Yasser Fadlallah, Safiya Duncan, Chelsea Wyche, Ela Moni, Vadim Zipunnikov and 2 more

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Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Angeliki G FilippatouDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-0419-233X
Muraleetharan SanjayanDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0009-0006-6465-0063
Blake E DeweyDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-4554-5058
Evan JohnsonDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Pratim Guha NiyogiDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; Department of Data Science, J. D. Bower School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.
Yasser FadlallahDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0009-0001-6806-1841
Safiya DuncanDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Chelsea WycheDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Ela MoniDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Vadim ZipunnikovDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Ellen M MowryDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Kathryn C FitzgeraldDivision of Neuroimmunology and Neurological Infections, Department of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0003-3137-0322

Funding

Home-based actigraphy to predict disability progression and enhance clinical trials in multiple sclerosisR01NR018851 · NINR · JOHNS HOPKINS UNIVERSITY · PI Ellen M. Mowry · 2020 to 2026
$4.2M
Research Education Program for Residents and Fellows in Neurology - PorrasR25NS065729 · NINDS · JOHNS HOPKINS UNIVERSITY · PI HILLIS, ARGYE E. · 2009 to 2024
$3.3M
Circadian Rhythms and Sleep, Structural Neuroimaging and Depression in People with Multiple SclerosisK01MH121582 · NIMH · JOHNS HOPKINS UNIVERSITY · PI FITZGERALD, KATHRYN C. · 2019 to 2022
$675k
NIMH NIH HHS K01 MH121582NINDS NIH HHS R25 NS065729NINR NIH HHS R01 NR018851
6 · The paper itself

Abstract

backgroundAccelerometry-derived activity fragmentation reflects how frequently active periods are interrupted by sedentary periods. It has been associated with frailty, mortality, and fatigability in the general population; however, its prognostic significance in multiple sclerosis (MS) remains unknown.

objectivesTo examine whether activity fragmentation is associated with disability progression and brain atrophy in MS.

methodsPeople with MS (PwMS) wore wrist tri-axial accelerometers at 3-month intervals, underwent disability assessments biannually, and underwent magnetic resonance imaging (MRI) brain approximately annually. We evaluated whether active-to-sedentary transition probability (ASTP) during the 10 most active hours of each 24-hour period (M10) was associated with outcomes, by modeling between- and within-person effects.

resultsAmong 238 PwMS, 120 had confirmed Expanded Disability Status Scale (EDSS)-plus progression over a mean of 2.9 ± 1.1 years. Within-person increase in ASTP slope during M10 (indicating increasing activity fragmentation throughout M10) was associated with higher risk of subsequent EDSS-plus progression (per 1 standard deviation (SD) increase: hazard ratio (HR) = 1.21 [95% confidence interval (CI):1.00, 1.45],

conclusionWithin-person worsening in activity fragmentation was associated with higher risk of neurologic decline. Activity fragmentation may represent an early compensatory strategy for reduced physiologic reserve and serve as an early indicator of MS progression.

Indexed as

Multiple sclerosisoutcome measurementprogressive

Identifiers

PMID42007625
PMCPMC13105268

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.