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Responsiveness of gait analysis parameters in a cohort of 71 CMT subjects.

  • T Lencioni
  • , G Piscosquito
  • , Marco Rabuffetti
  • , G Bovi
  • , E Di Sipio
  • , M Diverio
  • , I Moroni
  • , Luca Padua
  • , E Pagliano
  • , A Schenone
  • , D Pareyson*
  • , Maurizio Ferrarin
  • *Corresponding author
  • IRCCS Fondazione Don Carlo Gnocchi - Milano

Research output: Contribution to journalArticle

Abstract

Detection of worsening in the slowly progressive Charcot-Marie-Tooth disease (CMT) is difficult. As previous clinical scales showed low responsiveness, novel outcome measures are under study, including innovative approaches such as quantitative muscle MRI and instrumented movement analysis. Since gait analysis proved able to reliably quantify CMT locomotor deficits, we aimed to explore whether it can be a sensitive-to-change outcome measure in CMT studies. Clinical and biomechanical evaluations were performed in 71 CMT subjects at baseline and after a mean (±sd) of 28.9 ± 9.5 months. Locomotor tasks included natural walking, ascending and descending steps. Instrumented analysis of such tasks provided indexes related to muscle strength (kinetic parameters) and joint movement (kinematic parameters). Parameter responsiveness was expressed as Standardized Response Mean (SRM). Considering the whole CMT group, several parameters showed moderate responsiveness; subgrouping subjects according to disease severity allowed reaching high responsiveness (SRM >0.80). CMT Examination Score showed moderate responsiveness (SRM 0.53) in the minimally affected group; kinematic parameters were more responsive in this group, whereas kinetic parameters in the most severely affected one. Biomechanical parameters can represent suitable outcome measures for CMT by showing moderate-to-high responsiveness. These data suggest that appropriate selection of patient population and outcome measures is crucial for clinical trials' design.
Original languageEnglish
Pages (from-to)1029-1037
Number of pages9
JournalNeuromuscular Disorders
Volume27
Issue number11
DOIs
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Pediatrics, Perinatology, and Child Health
  • Neurology
  • Clinical Neurology
  • Genetics(clinical)

Keywords

  • Charcot–Marie–Tooth disease
  • Clinical trials
  • Gait analysis
  • Outcome measures
  • Responsiveness

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