Appendicular lean mass index and motor function in ambulatory patients with Duchenne muscular dystrophy

Author:

Kiefer Michael123ORCID,Townsend Elise1,Goncalves Celina2,Shellenbarger K. Courtney2,Gochyyev Perman1,Wong Brenda L.2

Affiliation:

1. School of Health and Rehabilitation Sciences, MGH Institute of Health Professions Boston Massachusetts USA

2. Department of Neurology University of Massachusetts Chan Medical School Worcester Massachusetts USA

3. Department of Physical Therapy College of Health Professions, Virginia Commonwealth University Richmond Virginia USA

Abstract

AbstractIntroduction/AimsAppendicular lean mass index (ALMI) has been linked to motor function in patients with Duchenne muscular dystrophy (DMD). However, quantification of the relationship between ALMI and disease‐specific clinical outcome assessment trajectories is needed. The purpose of this study was to determine associations between dual‐energy x‐ray absorptiometry (DXA) derived estimates of ALMI and motor function in ambulatory patients with DMD.MethodsA retrospective analysis of longitudinal clinical visit data from 137 glucocorticoid‐treated patients with DMD collected via structured motor assessment protocol evaluated associations between ALMI and motor function indexed by the North Star Ambulatory Assessment (NSAA) and 10 Meter Walk/run Test (10MWT). Body composition was assessed using DXA. ALMI was calculated by dividing arm and leg lean mass by height in m2; fat mass index (FMI) was calculated by dividing whole body fat mass by height in m2. Linear mixed‐effects models were used to estimate associations between ALMI and motor function, controlling for age and FMI.ResultsThe full prediction model (age, age,2 ALMI, and FMI) explained 57% of the variance in NSAA scores and 63% of the variance in 10MWT speed. A 1 kg/m2 higher ALMI value predicted a 5.4‐point higher NSAA score (p < .001) and 0.45 m/s faster 10MWT speed (p < .001). A 1 kg/m2 higher FMI value predicted a 1.5‐point lower NSAA score (p < .001) and 0.14 meters/second slower 10MWT speed (p < .001).DiscussionDXA‐derived estimates of ALMI and FMI are associated with motor function in DMD and may explain variation in DMD disease progression.

Publisher

Wiley

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