Key result
Review urges optimizing clinical outcome measures and digital biomarkers to accurately assess DMD treatment efficacy.
Why the study?
Recent therapeutic advances in Duchenne Muscular Dystrophy created a need to identify appropriate outcome measures to accurately evaluate treatment efficacy across ambulant and non-ambulant patients.
Robust and evolving outcome measures, including digital biomarkers and imaging, are essential for accurately evaluating therapeutic efficacy and disease progression in Duchenne Muscular Dystrophy.
Duchenne Muscular Dystrophy (DMD) is an X-linked recessive neuromuscular disorder primarily affecting males, caused by mutations in the dystrophin gene. The absence of dystrophin protein leads to progressive skeletal muscle degeneration. Recent advances in the therapeutic landscape underscore the need to identify appropriate outcome measures to assess treatment efficacy in ambulant and non-ambulant DMD patients, across clinical and research settings. This is essential for accurately evaluating new treatments and attributing therapeutic benefits.It is crucial to establish a robust correlation between outcome scores and disease progression patterns. This task is challenging since functional test performance may be influenced by different patient's characteristics, including the physiological evolution of the neurodevelopment together with the disease progression. While widely used DMD outcomes such as the North Star Ambulatory Assessment, the 6-Minute Walking Test, the 4 stairs climbed, and the Performance of the Upper Limb exhibit reliability and validity, their clinical significance is influenced by the wide phenotype and progression variability of the disease.We present and discuss the features (relevance, quantifiability, validity, objectivity, reliability, sensitivity, specificity, precision) of available DMD outcome measures, including new potential measures that may be provided by digital tools and artificial intelligence.
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Benemei et al. (2024) conducted a review in Duchenne Muscular Dystrophy. Clinical and digital outcome measures was evaluated. A comprehensive review highlights the critical need to optimize and validate clinical outcome measures, such as NSAA, 6MWT, and emerging digital biomarkers, to accurately assess treatment efficacy in Duchenne Muscular Dystrophy.
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