scholarly journals Baseline fat fraction is a strong predictor of disease progression in Becker muscular dystrophy

2022 ◽  
Author(s):  
Thom T. J. Veeger ◽  
Nienke M. Velde ◽  
Kevin R. Keene ◽  
Erik H. Niks ◽  
Melissa T. Hooijmans ◽  
...  
Keyword(s):  
Muscular Dystrophy ◽  
Disease Progression ◽  
Strong Predictor ◽  
Becker Muscular Dystrophy ◽  
Fat Fraction

scholarly journals Measuring Disease Severity in Duchenne and Becker Muscular Dystrophy

2010 ◽  
Vol 1 (1) ◽  
pp. 8 ◽  
Author(s):  
Melinda F. Davis ◽  
Katalin H. Scherer ◽  
Timothy M. Miller ◽  
F. John Meaney
Keyword(s):  
Muscular Dystrophy ◽  
Medical History ◽  
Disease Progression ◽  
Disease Severity ◽  
Rating Scale ◽  
Becker Muscular Dystrophy ◽  
Assisted Ventilation ◽  
Structured Interviews ◽  
Course Of Disease ◽  
Outcome Indicators

Medical investigations use a wide variety of outcome indicators that are often not comparable. It can be challenging to integrate results across multiple studies that do not share a common metric. Some conditions such as Duchenne and Becker muscular dystrophy have a predictable course of disease progression. Severity can be inferred from a patient's medical history. This paper describes the development of a disease severity measure using common markers of disease progression. Rasch modeling was used to estimate severity using dichotomous events that indicate disease progression. Caregivers of 34 young men with Duchenne or Becker muscular dystrophy completed structured interviews about their care and medical history. Interview questions included surgeries (tendon release, scoliosis, tracheostomy), respiratory equipment (assisted ventilation, cough assist devices), and the use of other medical equipment (e.g., braces, walkers, wheelchairs, transfer boards, hospital beds). The resulting measure had a reliability of .83. The correlation between the severity measure and the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) was .68. Preliminary results and item calibrations are provided for the severity measure that can be estimated from caregiver reports or administrative data. DOI:10.2458/azu_jmmss_v1i1_davis

scholarly journals Measuring Disease Severity in Duchenne and Becker Muscular Dystrophy

2010 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Melinda F. Davis ◽  
Katalin H. Scherer ◽  
Timothy M. Miller ◽  
F. John Meaney
Keyword(s):  
Muscular Dystrophy ◽  
Medical History ◽  
Disease Progression ◽  
Disease Severity ◽  
Rating Scale ◽  
Becker Muscular Dystrophy ◽  
Assisted Ventilation ◽  
Structured Interviews ◽  
Course Of Disease ◽  
Outcome Indicators

Medical investigations use a wide variety of outcome indicators that are often not comparable. It can be challenging to integrate results across multiple studies that do not share a common metric. Some conditions such as Duchenne and Becker muscular dystrophy have a predictable course of disease progression. Severity can be inferred from a patient's medical history. This paper describes the development of a disease severity measure using common markers of disease progression. Rasch modeling was used to estimate severity using dichotomous events that indicate disease progression. Caregivers of 34 young men with Duchenne or Becker muscular dystrophy completed structured interviews about their care and medical history. Interview questions included surgeries (tendon release, scoliosis, tracheostomy), respiratory equipment (assisted ventilation, cough assist devices), and the use of other medical equipment (e.g., braces, walkers, wheelchairs, transfer boards, hospital beds). The resulting measure had a reliability of .83. The correlation between the severity measure and the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) was .68. Preliminary results and item calibrations are provided for the severity measure that can be estimated from caregiver reports or administrative data. DOI:10.2458/azu_jmmss_v1i1_davis

scholarly journals Serum creatinine as a biomarker for dystrophinopathy: a cross-sectional and longitudinal study

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Liang Wang ◽  
Min Xu ◽  
Dawei Liu ◽  
Yingyin Liang ◽  
Pinning Feng ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Muscular Dystrophy ◽  
Serum Creatinine ◽  
Disease Progression ◽  
Motor Function ◽  
Fatty Infiltration ◽  
Becker Muscular Dystrophy ◽  
Cross Sectional Study ◽  
Neuromuscular Disorder ◽  
Cross Sectional

Abstract Background Dystrophinopathy, a common neuromuscular disorder, includes Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD). Many researches are currently ongoing to develop curative approaches, which results in an urgent need for biomarkers of disease progression and treatment response. This study investigated whether the serum creatinine (SCRN) level can be used as a biomarker of disease progression in dystrophinopathy. Methods We enrolled 377 male patients with dystrophinopathy and 520 male non-dystrophinopathy controls in a cross-sectional study. From this cohort, 113 follow-up patients were enrolled in a longitudinal study. Patients’ demographic information, motor function, muscle fatty infiltration, and muscle dystrophin levels were evaluated. We investigated correlations between these parameters and SCRN levels, and determined changes in SCRN levels with maturation and with motor function changes. Results Our results showed SCRN levels correlated with motor function (FDR < 0.001) and timed test results (FDR between < 0.001–0.012), as well as with muscle fatty infiltration (FDR < 0.001) and dystrophin levels (FDR = 0.015 and 0.001). SCRN levels increased with maturation in control individuals; it slowly increased with maturation in patients with BMD but decreased generally with maturation in patients with DMD. The longitudinal study further demonstrated that SCRN levels were associated with motor function. Conclusions These findings indicated that the SCRN level is a promising biomarker for assessing disease progression in dystrophinopathy and could be used as a potential outcome measure in clinical trials.

scholarly journals Selection Approach to Identify the Optimal Biomarker Using Quantitative Muscle MRI and Functional Assessments in Becker Muscular Dystrophy

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012233
Author(s):  
Nienke M. van de Velde ◽  
Melissa T. Hooijmans ◽  
Aashley S.D. Sardjoe Mishre ◽  
Kevin R. Keene ◽  
Zaida Koeks ◽  
...  
Keyword(s):  
Muscular Dystrophy ◽  
Disease Progression ◽  
Intraclass Correlation ◽  
Becker Muscular Dystrophy ◽  
Knee Extension ◽  
Muscle Mri ◽  
Cross Sectional ◽  
Functional Assessments ◽  
The Difference ◽  
Muscle Groups

Objective:To identify the best quantitative fat-water MRI biomarker for disease progression of leg muscles in Becker muscular dystrophy (BMD) by applying a stepwise approach based on standardized response mean (SRM) over 24 months, correlations with baseline ambulatory tests and reproducibility.Methods:Dixon fat-water imaging was performed at baseline (n=24) and 24 months (n=20). Fat fractions (FF) were calculated for three center slices and the whole muscles for 19 muscles and six muscle groups. Contractile cross sectional area (cCSA) was obtained from the center slice. Functional assessments included knee extension and flexion force, and three ambulatory tests (North Star Ambulatory Assessment (NSAA), 10-meter run, six-minute walking test). MR parameters were selected using SRM (≥0.8) and correlation with all ambulatory tests (rho≤-0.8). Parameters were evaluated based on intraclass correlation coefficient (ICC) and standard deviation (SD) of the difference. Sample sizes (SS) were calculated assuming 50% reduction in disease progression over 24 months in a clinical trial with 1:1 randomization.Results:Median whole muscle FF increased between 0.2-2.6% without consistent cCSA changes. High SRMs and strong functional correlations were found for eight FF but no cCSA parameters. All parameters showed excellent ICC (≥0.999) and similar SD of the inter-rater difference. Whole thigh three center slices FF was the best biomarker (SRM=1.04, correlations rho≤-0.81, ICC=1.00, SD=0.23%, SS=59) based on low SD and acquisition and analysis time.Conclusion:In BMD, median FF of all muscles increased over 24 months. Whole thigh three center slices FF reduced the SS by approximately 40% compared to NSAA.

scholarly journals Measuring Disease Severity in Duchenne and Becker Muscular Dystrophy

2010 ◽  
Vol 1 (1) ◽  
pp. 8
Author(s):  
Melinda F. Davis ◽  
Katalin H. Scherer ◽  
Timothy M. Miller ◽  
F. John Meaney
Keyword(s):  
Muscular Dystrophy ◽  
Medical History ◽  
Disease Progression ◽  
Disease Severity ◽  
Rating Scale ◽  
Becker Muscular Dystrophy ◽  
Assisted Ventilation ◽  
Structured Interviews ◽  
Course Of Disease ◽  
Outcome Indicators

Medical investigations use a wide variety of outcome indicators that are often not comparable. It can be challenging to integrate results across multiple studies that do not share a common metric. Some conditions such as Duchenne and Becker muscular dystrophy have a predictable course of disease progression. Severity can be inferred from a patient's medical history. This paper describes the development of a disease severity measure using common markers of disease progression. Rasch modeling was used to estimate severity using dichotomous events that indicate disease progression. Caregivers of 34 young men with Duchenne or Becker muscular dystrophy completed structured interviews about their care and medical history. Interview questions included surgeries (tendon release, scoliosis, tracheostomy), respiratory equipment (assisted ventilation, cough assist devices), and the use of other medical equipment (e.g., braces, walkers, wheelchairs, transfer boards, hospital beds). The resulting measure had a reliability of .83. The correlation between the severity measure and the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) was .68. Preliminary results and item calibrations are provided for the severity measure that can be estimated from caregiver reports or administrative data. DOI:10.2458/azu_jmmss_v1i1_davis

Differentiation of Pediatric-Onset Duchenne and Becker Muscular Dystrophy Subphenotypes Using the Muscular Dystrophy Surveillance Tracking and Research Network (MD STARnet)

2021 ◽  
pp. 1-8
Author(s):  
Jennifer G. Andrews ◽  
Molly Lamb ◽  
Kristin Conway ◽  
Natalie Street ◽  
Christina Westfield ◽  
...  
Keyword(s):  
Muscular Dystrophy ◽  
Disease Progression ◽  
Becker Muscular Dystrophy ◽  
Research Network ◽  
Anticipatory Guidance ◽  
Clinical Presentations ◽  
Study Results ◽  
Using Data ◽  
Pediatric Onset ◽  
Predict Disease Progression

Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) phenotypes are used to describe disease progression in affected individuals. However, considerable heterogeneity has been observed across and within these two phenotypes, suggesting a spectrum of severity rather than distinct conditions. Characterizing the phenotypes and subphenotypes aids researchers in the design of clinical studies and clinicians in providing anticipatory guidance to affected individuals and their families. Using data from the Muscular Dystrophy Surveillance, Tracking, and Research Network (MD STARnet), we used K-means cluster analysis to group phenotypically similar males with pediatric-onset dystrophinopathy. We identified four dystrophinopathy clusters: Classical BMD, Classical DMD, late ambulatory DMD, and severe DMD. The clusters that we identified align with both ‘classical’ and ‘non-classical’ dystrophinopathy described in the literature. Individuals with dystrophinopathies have heterogenous clinical presentations that cluster into phenotypically similar groups. Use of clinically-derived phenotyping may provide a clearer understanding of disease trajectories, reduce variability in study results, and prevent exclusion of certain cohorts from analysis. Findings from studying subphenotypes may ultimately improve our ability to predict disease progression.

scholarly journals Measuring Disease Severity in Duchenne and Becker Muscular Dystrophy

2010 ◽  
Vol 1 (1) ◽  
pp. 8 ◽  
Author(s):  
Melinda F. Davis ◽  
Katalin H. Scherer ◽  
Timothy M. Miller ◽  
F. John Meaney
Keyword(s):  
Muscular Dystrophy ◽  
Medical History ◽  
Disease Progression ◽  
Disease Severity ◽  
Rating Scale ◽  
Becker Muscular Dystrophy ◽  
Assisted Ventilation ◽  
Structured Interviews ◽  
Course Of Disease ◽  
Outcome Indicators

Medical investigations use a wide variety of outcome indicators that are often not comparable. It can be challenging to integrate results across multiple studies that do not share a common metric. Some conditions such as Duchenne and Becker muscular dystrophy have a predictable course of disease progression. Severity can be inferred from a patient's medical history. This paper describes the development of a disease severity measure using common markers of disease progression. Rasch modeling was used to estimate severity using dichotomous events that indicate disease progression. Caregivers of 34 young men with Duchenne or Becker muscular dystrophy completed structured interviews about their care and medical history. Interview questions included surgeries (tendon release, scoliosis, tracheostomy), respiratory equipment (assisted ventilation, cough assist devices), and the use of other medical equipment (e.g., braces, walkers, wheelchairs, transfer boards, hospital beds). The resulting measure had a reliability of .83. The correlation between the severity measure and the Amyotrophic Lateral Sclerosis Functional Rating Scale (ALSFRS) was .68. Preliminary results and item calibrations are provided for the severity measure that can be estimated from caregiver reports or administrative data. DOI:10.2458/azu_jmmss_v1i1_davis

G.P.76 Dystrophin levels do not influence disease progression in Becker muscular dystrophy patients with an exon 45–47 deletion

2012 ◽  
Vol 22 (9-10) ◽  
pp. 834-835
Author(s):  
J. van den Bergen ◽  
B. Wokke ◽  
S. van Duinen ◽  
H. Ginjaar ◽  
A. Janson ◽  
...  
Keyword(s):  
Muscular Dystrophy ◽  
Disease Progression ◽  
Becker Muscular Dystrophy

scholarly journals Patients With Becker Muscular Dystrophy Have Severe Paraspinal Muscle Involvement

2021 ◽  
Vol 12 ◽  
Author(s):  
Aisha M. Sheikh ◽  
Karen Rudolf ◽  
Josefine de Stricker Borch ◽  
Tahmina Khawajazada ◽  
Nanna Witting ◽  
...  
Keyword(s):  
Muscular Dystrophy ◽  
Becker Muscular Dystrophy ◽  
Erector Spinae ◽  
Paraspinal Muscle ◽  
Paraspinal Muscles ◽  
Muscle Mri ◽  
Cross Sectional ◽  
Muscle Involvement ◽  
Fat Replacement ◽  
Fat Fraction

Introduction: Paraspinal muscles are important for gross motor functions. Impairment of these muscles can lead to poor postural control and ambulation difficulty. Little knowledge exists about the involvement of paraspinal muscles in Becker muscular dystrophy.Objective: In this cross-sectional study, we investigated the involvement of paraspinal muscles with quantitative trunk strength measure and quantitative muscle MRI.Methods and Materials: Eighteen patients with Becker muscular dystrophy underwent trunk, hip, and thigh strength assessment using a Biodex dynamometer and an MRI Dixon scan. Fourteen age- and body mass index-matched healthy men were included for comparison.Results: Muscle fat fraction (FF) of the paraspinal muscles (multifidus and erector spinae) was higher in participants with Becker muscular dystrophy vs. healthy controls at all three examined spinal levels (C6, Th12, and L4/L5) (p &lt; 0.05). There was a strong and inverse correlation between paraspinal muscle FF and trunk extension strength (ρ = −0.829, p &lt; 0.001), gluteus maximus FF and hip extension strength (ρ = −0.701, p = 0.005), FF of the knee extensor muscles (quadriceps and sartorius) and knee extension strength (ρ = −0.842, p &lt; 0.001), and FF of the knee flexor muscles (hamstring muscles) and knee flexion strength (ρ = −0.864, p &lt; 0.001). Fat fraction of the paraspinal muscles also correlated with muscle FF of the thigh muscles and lower leg muscles.Conclusion: In conclusion, patients with Becker muscular dystrophy demonstrate severe paraspinal muscular involvement indicated by low back extension strength and high levels of fat replacement, which parallel involvement of lower limb muscles. Assessment of paraspinal muscle strength and fat replacement may serve as a possible biomarker for both the clinical management and further study of the disease.

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