Five multivariate Duchenne muscular dystrophy progression models bridging six-minute walk distance and MRI relaxometry of leg muscles.

The study aimed to provide quantitative information on the utilization of MRI transverse relaxation time constant (MRI-T ₂ ) of leg muscles in DMD clinical trials by developing multivariate disease progression models of Duchenne muscular dystrophy (DMD) using 6-min walk distance (6MWD) and MRI-T ₂ . Clinical data were collected from the prospective and longitudinal ImagingNMD study. Disease progression models were developed by a nonlinear mixed-effect modeling approach. Univariate models of 6MWD and MRI-T ₂ of five muscles were developed separately. Age at assessment was the time metric. Multivariate models were developed by estimating the correlation of 6MWD and MRI-T ₂ model variables. Full model estimation approach for covariate analysis and five-fold cross validation were conducted. Simulations were performed to compare the models and predict the covariate effects on the trajectories of 6MWD and MRI-T ₂ . Sigmoid I _max and E _max models best captured the profiles of 6MWD and MRI-T ₂ over age. Steroid use, baseline 6MWD, and baseline MRI-T ₂ were significant covariates. The median age at which 6MWD is half of its maximum decrease in the five models was similar, while the median age at which MRI-T ₂ is half of its maximum increase varied depending on the type of muscle. The models connecting 6MWD and MRI-T ₂ successfully quantified how individual characteristics alter disease trajectories. The models demonstrate a plausible correlation between 6MWD and MRI-T ₂ , supporting the use of MRI-T ₂ . The developed models will guide drug developers in using the MRI-T ₂ to most efficient use in DMD clinical trials.
Competing Interests: Declarations. Conflict of interests: The authors declared no competing interests for this work.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)