Diurnal step count patterns in progressive multiple sclerosis

BACKGROUND: Progressive multiple sclerosis (MS) leads to increasing disability, commonly assessed using the Expanded Disability Status Scale (EDSS) and the Timed 25-Foot Walk (T25FW). However, these episodically assessed, in-clinic measures miss diurnal fluctuations in mobility. OBJECTIVE: To evaluate whether diurnal step count patterns reflect MS-related disability and whether these associations persist after accounting for temporal context and Kurtzke Functional Systems Scores (KFS). METHODS: Minute-level step count data were collected from 529 progressive MS patients over 27 months in the placebo-controlled, SPI2 trial of MD1003. Function-on-scalar regression (FOSR) was applied to model average daily step-count curves (30-minute bins) against EDSS, T25FW, and demographics. Analyses included overall averages, temporally aligned scores (±3 months), and KFS components. RESULTS: Higher EDSS and slower T25FW were linked to lower step count patterns, particularly during mid-day hours. EDSS demonstrated stronger associations than T25FW, although both provided complementary predictive value. Temporally aligned (±3 months) scores confirmed robust associations. Among KFS domains, ambulation, pyramidal, and cerebellar functions explained the most variation. CONCLUSIONS: Diurnal step count patterns provide objective markers of disability in progressive MS, reflecting specific neurologic deficits. These findings highlight their potential to complement clinical scales and to inform the timing of mobility-focused interventions.

Authors

Institutions

Publication Details

Journal
Multiple Sclerosis Journal
Published
2026-08-17
DOI
https://doi.org/10.1177/13524585261475910
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diurnal step count patterns in progressive multiple sclerosis

Aditya Behal, Bruce Cree, Valerie J. Block, Reza Abbasi-Asl
Multiple Sclerosis Journal
Multiple Sclerosis Research Studies
article

Diurnal step count patterns in progressive multiple sclerosis

Aditya Behal, Bruce Cree, Valerie J. Block, Reza Abbasi-Asl
article en

Abstract

BACKGROUND: Progressive multiple sclerosis (MS) leads to increasing disability, commonly assessed using the Expanded Disability Status Scale (EDSS) and the Timed 25-Foot Walk (T25FW). However, these episodically assessed, in-clinic measures miss diurnal fluctuations in mobility. OBJECTIVE: To evaluate whether diurnal step count patterns reflect MS-related disability and whether these associations persist after accounting for temporal context and Kurtzke Functional Systems Scores (KFS). METHODS: Minute-level step count data were collected from 529 progressive MS patients over 27 months in the placebo-controlled, SPI2 trial of MD1003. Function-on-scalar regression (FOSR) was applied to model average daily step-count curves (30-minute bins) against EDSS, T25FW, and demographics. Analyses included overall averages, temporally aligned scores (±3 months), and KFS components. RESULTS: Higher EDSS and slower T25FW were linked to lower step count patterns, particularly during mid-day hours. EDSS demonstrated stronger associations than T25FW, although both provided complementary predictive value. Temporally aligned (±3 months) scores confirmed robust associations. Among KFS domains, ambulation, pyramidal, and cerebellar functions explained the most variation. CONCLUSIONS: Diurnal step count patterns provide objective markers of disability in progressive MS, reflecting specific neurologic deficits. These findings highlight their potential to complement clinical scales and to inform the timing of mobility-focused interventions.

Multiple Sclerosis Journal
University of California, San Francisco (US)
Openalex Percentile: Top 10%
Multiple Sclerosis Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.