ArticlePloS one2024
Characterization of patients with Duchenne muscular dystrophy across previously developed health states.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Estimating Utility Values Using the DMD-QoL: A Disease-Specific Preference-Based Measure for Duchenne Muscular Dystrophy (DMD).Advances in therapy · 2026Article
- Disease progression and economic burden of duchenne muscular dystrophy: A retrospective study using Swedish register data.Journal of neuromuscular diseases · 2026Article
- Descriptive characterization of ambulatory health states in Duchenne muscular dystrophy: Motor function trajectories and times to loss of ambulation.Journal of neuromuscular diseases · 2026Article
- Management of Duchenne Muscular Dystrophy in Clinical Practice: A Survey-Based Study in Spain.Neurology and therapy · 2026Article
- Paediatric medicines development for Duchenne muscular dystrophy: An EU regulatory perspective.Journal of neuromuscular diseases · 2026Review
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Authors and funding
14 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Project HERCULES has developed a natural history model (NHM) of disease progression in Duchenne muscular dystrophy (DMD) that comprises eight ordered health states (two ambulatory states, one transfer state indicating increased caregiver burden in which patients cannot walk/run 10m or rise from floor but can still support their own weight, and five non-ambulatory states). The current study used data from nine sources (clinical trial placebo arms, one real-world dataset, and three natural history datasets) to further characterize patients with DMD according to these health states. The study included 1,173 patients across 5,306 visits. Patients were on average older and exhibited worse ambulatory, pulmonary, upper limb, and cardiac functions with each successive health state. Mean±SE ages increased monotonically across health states, starting with 8.47±0.07 for early ambulatory, 10.86±0.13 for late ambulatory, 11.65±0.35 for transfer state, and ranging from 13.17±0.32 to 16.84±0.37 for the non-ambulatory states. North Star Ambulatory Assessment (NSAA) total score, which measures motor function and ranges from 34 (best) to 0 (worst), was 23.7 (interquartile range [IQR]: 20-30) for early ambulatory patients, 12.7 (IQR: 9-16) for late ambulatory patients, and 3.9 (IQR: 2-5) for transfer patients. Pulmonary function as measured by mean±SE of forced vital capacity percent predicted (FVC%p) was 94.5±0.8 for early ambulatory, 89.1±1.4 for late ambulatory, and 80.2±2.8 for transfer states, and decreased from 77.2±1.7 to 20.6±1.6 across the five non-ambulatory health states. In summary, these findings further characterize health states and their interpretation in economic modeling and decision-making in DMD management.
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