- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07674758
Modeling Mortality in Duchenne Muscular Dystrophy Cardiomyopathy: Identification of Surrogate Outcome Measures for DMD Drug Trials
June 24, 2026 updated by: Jonathan Soslow, Vanderbilt University Medical Center
Evaluating Cardiac Function in Patients With Duchenne Muscular Dystrophy
Dystrophin associated heart dysfunction is a leading cause of death in patients with Duchenne and Becker Muscular dystrophy (DMD/BMD) and Duchenne and Becker muscular dystrophy carriers (MDC); however, the evolution of heart dysfunction is not well-understood.
The central objectives of this proposal are to elucidate this evolution of heart dysfunction and identify measures from cardiac MRI images that can predict death or significant heart disease in patients with DMD/BMD/MDC.
This study will create a large clinical and cardiac MRI registry of dystrophin associated heart dysfunction, will utilize advanced image analysis techniques, including deep learning neural networks, to comprehensively evaluate every patient, and will create a risk toolkit accessible to clinicians around the world; this proposal has the potential to improve the quality of life in patients with dystrophin associated heart dysfunction by allowing for earlier and more intensive therapy in patients with severe disease and by identifying surrogate outcome measures for use in therapeutic trials.
Study Overview
Status
Recruiting
Detailed Description
Duchenne and Becker muscular dystrophy (DMD/BMD) are devastating diseases with no cure resulting in loss of ambulation, respiratory failure, cardiomyopathy, and premature death.
Dystrophin associated cardiomyopathy (defined here as CM) is the leading cause of death in DMD/BMD, and an under-studied concern in DMD and BMD mutation carriers (MDC).
CM progression is variable and poorly described in the current era.
There are no blood or imaging biomarkers that can predict the pace of progression or the risk of early mortality.
More importantly, there are no established cardiac outcome measures.
Novel, targeted therapeutics are necessary to treat CM, but these significant knowledge gaps make clinical trials challenging.
A better understanding of DMD/BMD/MDC cardiovascular disease progression and the identification of surrogate outcome measures are critical for the field to advance.
To address these obstacles, we propose to leverage the Duchenne muscular dystrophy cardiac care consortium (DMDCCC).
Created with grants from the NHLBI and the FDA, this consortium consists of eight high-volume sites with similar DMD/BMD/MDC cardiovascular treatment and diagnostic protocols, including surveillance CMR imaging every 1-2 years.
This proposal will create a comprehensive prospective registry of DMD/BMD/MDC patients with meticulously collected clinical data and cardiac magnetic resonance (CMR) images; we anticipate enrollment of 950 patients with over 4000 CMR studies.
This cohort will be used to better define the progression of CM and to determine associations with mortality.
The central hypothesis of our proposal is that integrated statistical modeling based on advanced imaging can improve prediction of CM progression and mortality.
Aim 1 will create a comprehensive cohort of DMD/BMD/MDC patients and model the progression of CM.
Aim 2 will determine cardiovascular measures that are associated with CM mortality or rapid progression using novel, data-driven, personalized machine learning models.
Aim 3 will create a portal for DMD/BMD/MDC centers to determine patient risk.
This multi-PI proposal leverages expertise in clinical care, cardiac imaging, biomedical engineering, complex image analysis, and neural networks.
To our knowledge, this study will create the largest cohort of DMD/BMD/MDC patients with CMR images, allowing for a better understanding of CM progression and identifying biomarkers that associate with poor outcomes.
The resulting risk portal will provide clinicians all over the world with a method to assess their patient's risk in real time, allowing intensification of therapy for those deemed high risk.
By building on prior productive collaborations, particularly that of the DMDCCC, this proposal will expand our understanding of CM, improving clinical care and future cardiac-specific therapeutic trials.
Study Type
Observational
Enrollment (Estimated)
1000
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Jonathan Soslow, MD, MSCI
- Phone Number: 615-322-7447
- Email: DMDMachineLearning@vumc.org
Study Locations
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California
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Sacramento, California, United States, 95616
- Recruiting
- UC Davis
-
Contact:
- Study Coordinator
- Phone Number: 916-734-3456
- Email: DMDmachinelearning@vumc.org
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District of Columbia
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Washington D.C., District of Columbia, United States, 20010
- Recruiting
- Children's National
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Contact:
- Study Coordinator
- Phone Number: 202-476-2090
- Email: DMDmachinelearning@vumc.org
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Illinois
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Chicago, Illinois, United States, 60611
- Recruiting
- Lurie Children's
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Contact:
- Study Coordinator
- Phone Number: 312-227-4100
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Indiana
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Indianapolis, Indiana, United States, 46202
- Recruiting
- Riley Children's Hospital
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Contact:
- Study Coordinator
- Phone Number: 317-944-8906
- Email: DMDMachineLearning@vumc.org
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North Carolina
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Durham, North Carolina, United States, 27705
- Recruiting
- Duke Children's Hospital
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Contact:
- Study Coordinator
- Phone Number: 919-668-4000
- Email: DMDmachinelearning@vumc.org
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Ohio
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Columbus, Ohio, United States, 43205
- Recruiting
- Nationwide Children's
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Contact:
- Study Coordinator
- Phone Number: 614-722-2555
- Email: DMDmachinglearning@vumc.org
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Tennessee
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Nashville, Tennessee, United States, 37232
- Recruiting
- Vanderbilt University Medical Center
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Contact:
- Study Coordinator
- Phone Number: 615-322-7447
- Email: DMDMachineLearning@vumc.org
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Virginia
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Richmond, Virginia, United States, 23220
- Recruiting
- Children's Hospital of Richmond at VCU
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Contact:
- Study Coordinator
- Phone Number: (804) 828-2467
- Email: DMDmachinelearning@vumc.org
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Washington
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Seattle, Washington, United States, 98105
- Recruiting
- Seattle Children's
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Contact:
- Study Coordinator
- Phone Number: 206-987-2515
- Email: DMDmachinelearning@vumc.org
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
Clinical phenotype of Duchenne muscular dystrophy (DMD), Becker muscular dystrophy (BMD), or muscular dystrophy carrier (MDC) confirmed with muscle biopsy or genotype
Description
Inclusion Criteria:
- Clinical phenotype of Duchenne muscular dystrophy (DMD), Becker muscular dystrophy (BMD), or muscular dystrophy carrier (MDC) confirmed with muscle biopsy or genotype
Exclusion Criteria:
- Additional genetic or congenital abnormality that may affect cardiovascular function or progression
- Current investigational therapy that may affect cardiovascular function (would preclude ongoing data collection but prior data would still be used)
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
|
Duchenne Muscular Dystrophy, Becker muscular dystrophy, and carriers of muscular dystrophy
Evaluation of surrogate outcome measures of disease in patients with dystrophinopathy
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Mortality
Time Frame: baseline to 10 years
|
Time from biomarker of interest to mortality
|
baseline to 10 years
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 6, 2025
Primary Completion (Estimated)
February 1, 2029
Study Completion (Estimated)
February 1, 2029
Study Registration Dates
First Submitted
June 24, 2026
First Submitted That Met QC Criteria
June 24, 2026
First Posted (Actual)
June 30, 2026
Study Record Updates
Last Update Posted (Actual)
June 30, 2026
Last Update Submitted That Met QC Criteria
June 24, 2026
Last Verified
June 1, 2026
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Musculoskeletal Diseases
- Nervous System Diseases
- Cardiovascular Diseases
- Muscular Diseases
- Heart Diseases
- Neuromuscular Diseases
- Genetic Diseases, Inborn
- Genetic Diseases, X-Linked
- Muscular Disorders, Atrophic
- Muscular Dystrophies
- Congenital, Hereditary, and Neonatal Diseases and Abnormalities
- Cardiomyopathies
- Muscular Dystrophy, Duchenne
Other Study ID Numbers
- 240203
- R01HL167969 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
The data will be shared with C-PATH
IPD Sharing Time Frame
Data will be available at the conclusion of the study
IPD Sharing Access Criteria
Access will be determined by C-PATH
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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Nantes University HospitalAGENCE NATIONALE DE RECHERCHERecruitingBecker Muscular Dystrophy | Duchene Muscular DystrophyFrance