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.
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 * Participants will arrive to the research clinic after an overnight fast * Visit includes medical history, physical exam, a fasting oral glucose tolerance test (OGTT), blood will be drawn, dual-energy X-ray absorptiometry (DXA) scan, and cardiac MRI (CMR). * Participants will wear remote monitoring devices including a continuous glucose monitor (CGM) for up to 10 days, an activity monitor (Actigraph) for up to 7 days, and a Holter (cardiac) monitor for up to 7 days. * Participants will complete a brief diary/survey twice daily during the 7 days they are wearing the ActiGraph, Holter, and CGM. This survey will be texted or emailed to participants in the morning and evening and take approximately 5 minutes to complete. The questions are primarily related to sleep, activity, and food intake Visit 2 (V2): remote, 6 months after Visit 1 * Participants will wear remote monitoring devices including a continuous glucose monitor (CGM) for up to 10 days, an activity monitor (Actigraph) for up to 7 days, and a Holter (cardiac) monitor for up to 7 days. * Repeat the brief diary/survey as V1. Visit 3 (V3): remote, 12 months after Visit 1 • Same study procedures as V2. Visit 4 (V4): remote, 18 months after Visit 1 * Same study procedures as V2. 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.
Study Type
OBSERVATIONAL
Enrollment
10
Three wearable devices
Vanderbilt University Medical Center
Nashville, Tennessee, United States
RECRUITINGRate of hyperglycemia
number of glucose measurements ≥140mg/dL over total number of glucoses
Time frame: 5 time points, each over 10 days
Standard deviation of the mean R-to-R segment (SDANN)
correlation of rate of hyperglycemia and SDANN, which reflects heart rate variability
Time frame: 5 time points, each over 7 days
Coefficient of variation on CGM
variability of glucose levels on CGM measured by coefficient of variation (COV)
Time frame: 5 time points, each over 10 days
Rate of significant hyperglycemia
number of glucose measurements ≥200mg/dL over total number of glucoses
Time frame: 5 time points, each over 10 days
Activity level
Time spent in sedentary, low intensity, and moderate to vigorous physical activity
Time frame: 5 time points, each over 7 days
Standard deviation of normal R to R intervals (SDNN)
correlation of rate of hyperglycemia and SDNN
Time frame: 5 time points, each over 7 days
Late gadolinium enhancement (LGE)
correlation of change in SDANN from 0 to 24 months with change in percent LVEF on cardiac MRI from 0 to 24 months
Time frame: 2 time points: initially and approximately 2 years later
Left ventricular ejection fraction (LVEF)
correlation of change in SDANN from 0 to 24 months with change in percent LVEF on cardiac MRI from 0 to 24 months
Time frame: 2 time points: initially and approximately 2 years later
Insulin sensitivity
correlation between change in rate of hyperglycemia from 0 to 24 months (CGM) with change in insulin sensitivity from 0 to 24 months (oral glucose tolerance test)
Time frame: 2 time points: initially and approximately 2 years later
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