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Motion sensor‐acquired reachable workspace correlates with patient‐reported upper extremity activities of daily living ( ADL ) function in facioscapulohumeral dystrophy
Author(s) -
Hatch Maya N.,
Kurillo Gregorij,
Chan Vicky,
Han Jay J.
Publication year - 2021
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.27123
Subject(s) - activities of daily living , workspace , physical medicine and rehabilitation , facioscapulohumeral muscular dystrophy , receiver operating characteristic , quality of life (healthcare) , medicine , physical therapy , correlation , gee , generalized estimating equation , muscular dystrophy , computer science , mathematics , statistics , geometry , nursing , artificial intelligence , robot
Background This study examines the correlation, and clinical meaningfulness, between reachable workspace outcome and reported activities of daily living (ADL) function of individuals with facioscapulohumeral dystrophy (FSHD). Methods Twenty‐one FSHD subjects with various disease severity (clinical severity scores 1‐4) underwent reachable workspace evaluation and completed the Quality of Life in Neurological Disorders (NeuroQoL) upper extremity questionnaire. Spearman and receiver operator curve analyses were performed. Results Moderate correlation was found between NeuroQoL scores and total (ρ = 0.7609; P < .01), and upper‐quadrants relative surface areas (RSAs) (ρ = 0.6969; P < .01). Five specific items (ie, shirt on, shirt off, use spoon, pull on pants, pick‐up clothes) demonstrated even higher correlations with total (ρ = 0.8397; P < .01) and above shoulder (ρ = 0.8082; P < .01) RSAs. A total RSA cuffoff value of 0.70 would achieve 100% sensitivity and 94% specificity (area under the curve = 0.975). Conclusions Reachable workspace values identify when individuals have difficulties performing ADLs at home. This information improves patient monitoring, and clinical decision making by enabling more timely recommendations for medications, assistive devices, or considerations for clinical trial enrollments.