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Measurements of Motor Function and Other Clinical Outcome Parameters in Ambulant Children with Duchenne Muscular Dystrophy
Published on: January 12, 2019
Beyond Teleconsultation: Exploring the Role of Mobile Health Technologies in Duchenne Muscular Dystrophy
Eliza Wasilewska1, Alessandro Onofri2, Andrzej Wasilewski3
1Department of Allergology, Medical University of Gdańsk, Marii Skłodowskiej-Curie 3a, Gdańsk, 80-210, Poland.
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Duchenne muscular dystrophy (DMD) is a progressive, multisystem disease requiring long-term monitoring of respiratory, cardiac, and functional status. Advances in care have extended survival, increasing the need for continuous, coordinated management. In parallel, digital health technologies have enabled remote monitoring and data collection outside traditional clinical settings. This Viewpoint examines the role of device-based remote monitoring in DMD and argues that it should be understood as an emerging multisystem digital surveillance framework rather than a collection of isolated technologies. This Viewpoint is based on a synthesis of published literature on device-based remote monitoring and digital health technologies in DMD and experiences at our center. The aim was to outline the current clinical and technological landscape and support an interpretive perspective. Device-based monitoring in DMD encompasses a range of technologies, including home spirometry, ventilator-integrated telemonitoring, wearable activity sensors, cardiac rhythm monitoring, and interactive rehabilitation systems. These approaches enable longitudinal assessment of physiological and functional parameters in real-world settings. However, the current evidence base is heterogeneous and largely limited to feasibility studies, small cohorts, and extrapolated data. While data acquisition is technically feasible and increasingly available, integration into clinical workflows remains constrained by the lack of validated digital biomarkers, standardized monitoring frameworks, and interoperable data systems. Remote monitoring in DMD is evolving toward a connected, multisystem model of disease surveillance. Its clinical impact will depend on the validation of digital end points, development of decision support frameworks, and integration into multidisciplinary care pathways. Bridging the gap between data generation and clinical decision-making remains a key priority for future research and implementation. These findings support a shift from isolated technologies toward a coordinated, clinically integrated model of multisystem care in DMD.
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