Literature DB >> 28844614

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

Tiziana Lencioni1, Giuseppe Piscosquito2, Marco Rabuffetti1, Gabriele Bovi1, Enrica Di Sipio3, Manuela Diverio4, Isabella Moroni5, Luca Padua3, Emanuela Pagliano5, Angelo Schenone6, Davide Pareyson7, Maurizio Ferrarin1.   

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.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Charcot–Marie–Tooth disease; Clinical trials; Gait analysis; Outcome measures; Responsiveness

Mesh:

Year:  2017        PMID: 28844614     DOI: 10.1016/j.nmd.2017.07.003

Source DB:  PubMed          Journal:  Neuromuscul Disord        ISSN: 0960-8966            Impact factor:   4.296


  3 in total

1.  Human kinematic, kinetic and EMG data during different walking and stair ascending and descending tasks.

Authors:  Tiziana Lencioni; Ilaria Carpinella; Marco Rabuffetti; Alberto Marzegan; Maurizio Ferrarin
Journal:  Sci Data       Date:  2019-12-06       Impact factor: 6.444

2.  Comparison of the Gait Biomechanical Constraints in Three Different Type of Neuromotor Damages.

Authors:  Silvia Minosse; Martina Favetta; Alberto Romano; Alessandra Pisano; Susanna Summa; Tommaso Schirinzi; Gessica Vasco; Enrico Castelli; Maurizio Petrarca
Journal:  Front Hum Neurosci       Date:  2022-03-29       Impact factor: 3.169

3.  Responsiveness of outcome measures in myotonic dystrophy type 1.

Authors:  Kirsten L Knak; Aisha M Sheikh; Nanna Witting; John Vissing
Journal:  Ann Clin Transl Neurol       Date:  2020-07-16       Impact factor: 4.511

  3 in total

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