Evidence map›Paper›PMID 41803906›Full record

ArticleJournal of neuroengineering and rehabilitation2026

Gait analysis reveals new outcome measures for monitoring disease progression in individuals with late-onset Pompe disease.

Mireia Claramunt-Molet, Jordi Pegueroles, Ariadna Pi-Cervera, Mari Rico, Sebastian Idelsohn-Zielonka, Cristina Domínguez-González, Manuela Corti, Virgilia Antón, Stephanie M Salabarria, Karen Wong and 3 more

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors.

Mireia Claramunt-Molet *Ephion Health, Barcelona, 08005, Spain. mireia.claramunt@ephion.health.
Jordi Pegueroles *Ephion Health, Barcelona, 08005, Spain.
Ariadna Pi-CerveraEphion Health, Barcelona, 08005, Spain.
Mari RicoEphion Health, Barcelona, 08005, Spain.
Sebastian Idelsohn-ZielonkaEphion Health, Barcelona, 08005, Spain.
Cristina Domínguez-GonzálezNeuromuscular disorders Unit, Neurology department, 12 de Octubre Hospital, Madrid, Spain.
Manuela CortiPowell Gene Therapy Center, University of Florida, Gainesville, USA.
Virgilia AntónUniversidad de Castilla La Mancha, Toledo, Spain.
Stephanie M SalabarriaPowell Gene Therapy Center, University of Florida, Gainesville, USA.
Karen WongThe John Walton Muscular Dystrophy Research Centre, Newcastle University Translational and Clinical Research Institute, Newcastle Upon Tyne, UK.
Meredith K JamesThe John Walton Muscular Dystrophy Research Centre, Newcastle University Translational and Clinical Research Institute, Newcastle Upon Tyne, UK.
Barry J ByrnePowell Gene Therapy Center, University of Florida, Gainesville, USA.
Jordi Díaz-ManeraThe John Walton Muscular Dystrophy Research Centre, Newcastle University Translational and Clinical Research Institute, Newcastle Upon Tyne, UK.

Funding

Centro para el Desarrollo Tecnológico Industrial SNEO-20231326Generalitat de Catalunya ACE052/22/000038
6 · The paper itself

Abstract

backgroundLate-onset Pompe disease (LOPD) presents with progressive muscle weakness, often leading to functional impairment that is challenging to monitor with conventional assessments. This study aims to develop and validate novel gait-based outcome measures for monitoring disease progression in individuals with LOPD.

methodsLongitudinal study with genetically confirmed LOPD patients and age-and gait velocity-matched healthy controls that were assessed over a two-year period using the Ephion Mobility system, which integrates inertial sensors, plantar pressure insoles, and surface electromyography. All participants completed a free walking test (10-15 m at self-selected pace) and the 6-minute walk test (6MWT). Differences in gait features were identified using a three-stage feature selection framework that includes linear mixed-effects model, ElasticNet-regularized and bootstrap analysis. To explore intra-group variability within the LOPD cohort, we performed a clustering analysis. Based on the selected features and their weighted temporal changes, we developed a Pompe Mobility-Derived Progression Index (Pompe-MDPI) by training a Linear Discriminant Analysis (LDA) to discriminate between control and LOPD data. We calculated the Minimum Clinically Important Difference and compared its performance against the 6MWT distance.

results24 LOPD and 39 healthy controls were included in the study. 46 gait features were found to significantly differentiate individuals with LOPD from controls (Holm-corrected p < 0.05), comprising 16 from trunk and pelvis joints, 18 from lower limb joints, 4 from force profiles, and 8 from EMG.Hierarchical clustering analysis revealed two distinct subgroups within the LOPD cohort, based on nine gait features. The computed Pompe-MDPI successfully discriminated between LOPD and healthy controls (AUC = 0.95), outperforming the 6MWT distance (AUC = 0.84). The Pompe-MDPI was also strongly associated with the 6MWT (p < 0.0001) and demonstrated significant change over time in the LOPD group (p = 0.02).

conclusionsThe Pompe Mobility-Derived Progression Index (Pompe-MDPI) was developed and validated as a sensitive biomarker of disease progression. Longitudinal analysis demonstrated that Pompe-MDPI captured gait deterioration over one year, outperforming traditional measures like the six-minute walk test in sensitivity. These findings support the use of wearable gait analysis as a clinically meaningful, scalable tool for monitoring motor function in LOPD, with implications for both patient care and therapeutic trials.

Indexed as

Gait AnalysisGlycogen Storage Disease Type IIOutcome Assessment, Health CareDisease ProgressionElectromyographyFemaleHumansLongitudinal StudiesMaleMiddle AgedBiomechanical biomarkersDisease progressionLate-onset Pompe diseaseNeuromuscular disordersWearable gait analysis

Identifiers

PMID41803906
PMCPMC13147610

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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.