Gait & Posture
Volume 35, Issue 1 , Pages 131-137, January 2012

Gait pattern classification in children with Charcot–Marie–Tooth disease type 1A

  • M. Ferrarin

      Affiliations

    • Fondazione Don C. Gnocchi, Italy
    • Corresponding Author InformationCorresponding author at: Polo Tecnologico, IRCCS S. Maria Nascente, Fondazione Don Carlo Gnocchi Onlus, Via Capecelatro 66, 20148 Milano, Italy. Tel.: +39 02 40308305; fax: +39 02 4048919.
  • ,
  • G. Bovi

      Affiliations

    • Fondazione Don C. Gnocchi, Italy
  • ,
  • M. Rabuffetti

      Affiliations

    • Fondazione Don C. Gnocchi, Italy
  • ,
  • P. Mazzoleni

      Affiliations

    • Fondazione Don C. Gnocchi, Italy
  • ,
  • A. Montesano

      Affiliations

    • Fondazione Don C. Gnocchi, Italy
  • ,
  • E. Pagliano

      Affiliations

    • Developmental Neurology Division, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy
  • ,
  • A. Marchi

      Affiliations

    • Developmental Neurology Division, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy
  • ,
  • A. Magro

      Affiliations

    • Developmental Neurology Division, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy
  • ,
  • C. Marchesi

      Affiliations

    • Unit of Clinic of Central and Peripheral Degenerative Neuropathies, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy
  • ,
  • D. Pareyson

      Affiliations

    • Unit of Clinic of Central and Peripheral Degenerative Neuropathies, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy
  • ,
  • I. Moroni

      Affiliations

    • Division of Child Neurology, Fondazione IRCCS Istituto Neurologico C. Besta, Milano, Italy

Received 27 March 2011; received in revised form 7 May 2011; accepted 8 May 2011. published online 23 September 2011.

Abstract 

Gait pattern classification may assist in clinical decision making and cluster analysis (CA) has been often adopted to this aim. The goal of this study was to identify, through CA, typical walking patterns in a group of 21 young subjects with CMT1A, a hereditary progressive neuropathy, and to study possible correlation with the disease's clinical status. The protocol included kinematic/kinetic analysis of natural walking and more demanding locomotor tasks, i.e. toe- and heel-walking. Hierarchical cluster analysis was carried out on parameters related to primary signs (foot-drop and push-off deficit) and, separately, to compensatory mechanisms at proximal (pelvis, hip and knee) or distal (ankle) level.

CA on primary signs during natural walking identified three clusters: (1) pseudo-normal patients (PN), not significantly different from controls; (2) patients showing only foot-drop (FD); (3) patients with foot-drop and push-off deficit (FD&POD). Patients belonging to the PN subgroup showed distal abnormalities during heel-walking. The FD&POD subgroup was associated to a significantly worse clinical score (CMTES, p<0.05). The main compensatory strategies, which occurred independently from primary clusterization, included augmented hip/knee flexion in swing (steppage) and early ankle plantarflexion at mid stance (vaulting). We concluded that, although a number of young CMT1A patients do not show typical primary deviations during natural walking, they do show significant abnormalities in more demanding locomotor tasks that should be therefore considered. It is also hypothesized that progression of this degenerative condition may be associated to the migration of patients to more severe clusters, with possible appearance of compensatory strategies.

Keywords: Gait analysis, Charcot–Marie–Tooth disease, Gait patterns, Cluster analysis, Toe walking, Heel walking

 

PII: S0966-6362(11)00280-3

doi:10.1016/j.gaitpost.2011.08.023

Gait & Posture
Volume 35, Issue 1 , Pages 131-137, January 2012