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Updated: Jun 17, 2026

Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy
Published on: January 12, 2019
Longitudinal functional trajectories in Duchenne muscular dystrophy: outcome-specific patterns from a registry-based
Andrea Hörnö-Reissner1, Francesca Mattei2, Ilaria Zito2
1Department of Paediatric Neurology, Children's Hospital of Eastern, St. Gallen, Switzerland; Faculty of Medical Sciences, Private University in the Principality of Liechtenstein (UFL) Triesen, Liechtenstein.
Duchenne muscular dystrophy (DMD) progression varies by function. Ambulatory function shows non-linear decline, while upper limb function declines more gradually, requiring outcome-specific models for DMD patients.
Area of Science:
- Neurology
- Genetics
- Biostatistics
Background:
- Duchenne muscular dystrophy (DMD) is a progressive X-linked neuromuscular disorder.
- Limited population-level models exist for DMD functional outcomes in real-world settings.
Purpose of the Study:
- To characterize longitudinal trajectories of key functional outcomes in DMD using registry data.
- To develop outcome-specific models for DMD disease progression.
Main Methods:
- Retrospective analysis of pseudonymised data from the Italian DMD/BMD Patient Registry.
- Linear mixed-effects models used to analyze age-dependent trajectories for North Star Ambulatory Assessment (NSAA), 6-minute walk test (6MWT), and Performance of Upper Limb (PUL) scores.
- Parsimonious model specifications selected to manage data sparsity and heterogeneity.
Main Results:
- NSAA and 6MWT demonstrated non-linear, age-dependent trajectories, best modeled quadratically.
- PUL 1.2 showed a piecewise linear decline, while PUL 2.0 followed a linear trajectory.
- Significant inter-individual variability observed across all functional outcomes.
Conclusions:
- DMD progression exhibits distinct patterns for ambulatory versus upper limb function.
- Mixed-effects modeling provides interpretable, outcome-specific reference trajectories for DMD.
- Highlights the necessity of tailored modeling approaches for understanding DMD disease progression.
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