Do functional performance measures (broad jump and 10-meter run) enhance the assessment of disease activity alongside conventional clinical tools in children with juvenile dermatomyositis?
39 children with juvenile dermatomyositis (JDM)
Functional performance measures (FPMs) including broad jump (BJ) and 10-meter run (10MR)
Conventional clinical tools (PGA, CDASI, MMT8, and CMAS)
Measurement properties (construct validity and responsiveness) of functional performance measuressurrogate
Functional performance measures like broad jump and 10-meter run provide complementary information on dynamic muscle performance not fully captured by traditional assessments in juvenile dermatomyositis.
Abstract Objectives To evaluate the measurement properties of functional performance measures (FPMs), broad jump (BJ) and 10-meter run (10MR) in juvenile dermatomyositis (JDM), and to assess their added value alongside conventional clinical tools. Methods This longitudinal cohort study included 39 children with JDM. BJ and 10MR were assessed with PGA, CDASI, MMT8 and CMAS at baseline and follow-up visits (every 3–6 months). Construct validity and responsiveness were assessed through cross-sectional and longitudinal analyses. Results FPMs correlated significantly with disease activity and muscle function, with faster 10MR and longer BJ performance associated with lower PGA and higher CMAS/MMT8. 10MR and BJ demonstrated moderate responsiveness (standardized response mean = -0.56 and 0.31, respectively), and longitudinal analyses confirmed that FPM changes paralleled improvements in CMAS and MMT8 over time. Within the clinically inactive disease (CID) group, functional heterogeneity was evident. Cluster analysis based on CMAS and MMT8 identified a subgroup with relatively low strength scores and poor FPM performance, while a more comprehensive four-variable clustering using BJ, 10MR, CMAS, and MMT8 further stratified CID patients into three distinct phenotypes. Notably, one subgroup exhibited high CMAS/MMT8 scores but reduced FPMs, indicating residual functional impairment not captured by traditional assessments. Low internal consistency (Cronbach’s α = 0.44) further suggested that FPMs capture dimensions distinct from CMAS/MMT8. Conclusion FPMs are quick, feasible tools that may provide complementary information on dynamic muscle performance not fully captured by CMAS or MMT8. Their ability to identify functional variability within CID patients supports their potential utility in monitoring functional recovery in JDM.
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Jia Shi
Alexander Carpenter
Christopher Wong
Lara D. Veeken
University of Washington
Chinese Academy of Medical Sciences & Peking Union Medical College
Peking Union Medical College Hospital
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Shi et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69eefd43fede9185760d3f90 — DOI: https://doi.org/10.1093/rheumatology/keag232