Real-World Postural Transitions as Biomarkers of Functional Impairment in Duchenne Muscular Dystrophy

Duchenne muscular dystrophy (DMD) is a progressive neuromuscular disorder that impairs daily functioning and results in premature death. Current clinical assessments are widely used for characterizing functional impairment but have limitations due to their subjective and effort-based nature and because they only capture a snapshot of symptoms at a single point in time. Digital health technologies, such as wearable devices, allow continuous collection of movement and physiological data during daily life and could provide objective measures of the impact of DMD symptoms on daily functioning. For example, measurement of the 95th centile of stride velocity has recently gained endorsement by European regulators as an endpoint for evaluating functional changes in DMD, but the use of wearables for this purpose is just beginning. In this study, we present preliminary investigations of candidate digital biomarkers of functional impairment using real-world data and further explore the relationships between these parameters and established clinical assessments. We found nine candidate biomarkers for detecting DMD-related functional impairment, all exhibiting large to very large effect sizes in our sample of 14 boys with DMD and matched controls (9 DMDs, 5 controls, age 4-12 years). Each candidate biomarker was moderately or strongly associated with clinical measures of function in DMD. Six of the biomarkers are novel and/or understudied in DMD including objective measures of gait acceleration and variability; postural control immediately before and after a postural transition; and the smoothness of postural transitions. Notably, postural transition measures were more sensitive to DMD-related impairment than gait, activity, and cardiac measures. These results suggest that the quality of postural transitions could serve as a sensitive and objective measure of functional impairment in DMD and point toward the need for further exploration of these measures.

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Publication Details

Journal
Digital Biomarkers
Published
2025-03-29
DOI
https://doi.org/10.1159/000545617
Primary Topic
Muscle Physiology and Disorders
Type
article
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article

Real-World Postural Transitions as Biomarkers of Functional Impairment in Duchenne Muscular Dystrophy

Paolo B. DePetrillo, Ryan S. McGinnis, Cailin J. Gramling, Reed D. Gurchiek et al.
Digital Biomarkers
Muscle Physiology and Disorders
article

Real-World Postural Transitions as Biomarkers of Functional Impairment in Duchenne Muscular Dystrophy

Paolo B. DePetrillo, Ryan S. McGinnis, Cailin J. Gramling, Reed D. Gurchiek, Jamie L. Marshall, Brett M. Meyer, Jesús Betegón Nicolás, Donna M. Rizzo, Carl Morris, Ellen W. McGinnis, Dheeraj D Kairamkonda, Jennifer Marlowe
article en

Abstract

Duchenne muscular dystrophy (DMD) is a progressive neuromuscular disorder that impairs daily functioning and results in premature death. Current clinical assessments are widely used for characterizing functional impairment but have limitations due to their subjective and effort-based nature and because they only capture a snapshot of symptoms at a single point in time. Digital health technologies, such as wearable devices, allow continuous collection of movement and physiological data during daily life and could provide objective measures of the impact of DMD symptoms on daily functioning. For example, measurement of the 95th centile of stride velocity has recently gained endorsement by European regulators as an endpoint for evaluating functional changes in DMD, but the use of wearables for this purpose is just beginning. In this study, we present preliminary investigations of candidate digital biomarkers of functional impairment using real-world data and further explore the relationships between these parameters and established clinical assessments. We found nine candidate biomarkers for detecting DMD-related functional impairment, all exhibiting large to very large effect sizes in our sample of 14 boys with DMD and matched controls (9 DMDs, 5 controls, age 4-12 years). Each candidate biomarker was moderately or strongly associated with clinical measures of function in DMD. Six of the biomarkers are novel and/or understudied in DMD including objective measures of gait acceleration and variability; postural control immediately before and after a postural transition; and the smoothness of postural transitions. Notably, postural transition measures were more sensitive to DMD-related impairment than gait, activity, and cardiac measures. These results suggest that the quality of postural transitions could serve as a sensitive and objective measure of functional impairment in DMD and point toward the need for further exploration of these measures.

Digital BiomarkersVol. 9(1)
University of Vermont (US), Solidus Biosciences (United States) (US), Wake Forest University (US), Clemson University (US)
Openalex Percentile: Top 95%
Muscle Physiology and Disorders
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