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

M. Ferrarin, G. Bovi, M. Rabuffetti, P. Mazzoleni, A. Montesano, E. Pagliano, A. Marchi, A. Magro, C. Marchesi, D. Pareyson, I. Moroni

Research output: Contribution to journalArticlepeer-review


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

Original languageEnglish
Pages (from-to)131-137
Number of pages7
JournalGait and Posture
Issue number1
Publication statusPublished - Jan 2012


  • Charcot-Marie-Tooth disease
  • Cluster analysis
  • Gait analysis
  • Gait patterns
  • Heel walking
  • Toe walking

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Rehabilitation
  • Biophysics


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