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Duchenne Muscular Dystrophy (DMD) is an X-linked disorder that causes muscle wasting, cardiopulmonary failure, and premature death. Heart failure is a leading cause of death in DMD, but substantial knowledge gaps exist regarding predisposing risk factors. In the general population, hyperglycemia, insulin resistance, and decreased heart rate variability (HRV; reflecting autonomic dysfunction) are associated with cardiomyopathy (CM). It is unclear whether these factors are associated with DMD-CM. Closing this knowledge gap may lead to novel screening and therapeutic strategies to delay progression of DMD related CM. Despite risk factors for hyperglycemia, including the use of glucocorticoids, low muscle mass, obesity, and reduced ambulation, little is known regarding glucose abnormalities in DMD. Some of these same risk factors, along with the distance needed to travel for specialty care, present significant barriers to research participation and clinical care for individuals with DMD. Remote wearable technology may improve research participation in this vulnerable population. Therefore, this study will leverage remote wearable technologies to overcome these barriers and define the relationship between dysglycemia and DMD-CM.
In this Aim of the study, the investigators will assess the utility of remote wearable technology to predict changes in traditional metrics of metabolism and cardiac function. In this pilot study, 10 individuals with DMD will undergo cardiac magnetic resonance imaging (CMR) and oral glucose tolerance tests (OGTTs) at baseline and two years. The investigators will remotely assess glycemia (using continuous glucose monitors), HRV (using extended Holter monitors), and activity (using accelerometers) every 6 months over the 2 years and evaluate if changes in wearable metrics predict changes in CMR and OGTT.
Full description
Risk for hyperglycemia and insulin resistance in DMD: Individuals with DMD have multiple risk factors for abnormal glucose and insulin metabolism: frequent use of glucocorticoid (GC) medication, decreased ambulation/activity, sarcopenia, and obesity. GC use is known to increase the risk of impaired glucose tolerance (IGT) and insulin resistance (IR) in multiple populations. Decreased skeletal muscle mass and function are associated with impaired skeletal muscle insulin sensitivity and type 2 diabetes (T2D). Despite these risks, there are limited data relating glycemia and IR in this population.
This study is a critical first step in evaluating hyperglycemia in DMD and the relationship to autonomic dysfunction. Our findings will help establish screening guidelines and provide a basis for intervention studies targeting glycemia in DMD. Additionally, this study, along with other ongoing studies (Remote study: Wearable Technology to Evaluate Hyperglycemia and Heart Rate Variability in Duchenne Muscular Dystrophy) will establish wearable technology as investigational tools, for potential use in future clinical trials, in individuals with DMD and neuromuscular diseases.
Study Population: This study will include approximately 10 male participants at Vanderbilt with DMD.
DMD is an X-linked disorder affecting approximately 1/3500-6000 males and 1/50 million females. Therefore, only males will be included in this study.
Study Enrollment Period: Expected duration of the study is 6 years.
Study Visits and procedures:
Visit 1 (V1): in-person study visit
Visit 2 (V2): remote, 6 months after Visit 1
Visit 3 (V3): remote, 12 months after Visit 1
• Same study procedures as V2.
Visit 4 (V4): remote, 18 months after Visit 1
Visit 5 (V5): in-person study visit, approximately 24 months after Visit 1 • Same study procedures as V1.
*If the participant has completed a cardiac MRI or other study procedure for an alternate clinical or research evaluation within a month of other study procedures, the investigators may be able to use that data instead of repeating the study procedure.
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Central trial contact
Jaclyn Tamaroff, MD; Andrea Lee, MA, MLS
Data sourced from clinicaltrials.gov
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