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Characteristic 3D foot motion patterns during gait of patients with Charcot-Marie-Tooth identified by cluster analysis.
Schmidt, Selena; Böhm, Harald; Dussa, Chakravarthy U; Bienias, Katarzyna; Fujak, Albert.
Afiliação
  • Schmidt S; Department of Trauma and Orthopaedic Surgery, Pediatric and Neuro Orthopaedics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstr. 12, 91054, Erlangen, Germany. Electronic address: selenaschmidt.mail@gmail.com.
  • Böhm H; Department of Paediatric Orthopaedics, Orthopaedische Kinderklinik, Bernauerstrasse 18, D-83209 Aschau i. Chiemgau, Germany.
  • Dussa CU; Department of Trauma and Orthopaedic Surgery, Pediatric and Neuro Orthopaedics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstr. 12, 91054, Erlangen, Germany; Department of Paediatric Orthopaedics, Orthopaedische Kinderklinik, Bernauerstrasse 18, D-832
  • Bienias K; Clinical Department, EGZOTech sp. z o.o., 44-100 Gliwice, Poland.
  • Fujak A; Department of Trauma and Orthopaedic Surgery, Pediatric and Neuro Orthopaedics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Krankenhausstr. 12, 91054, Erlangen, Germany.
Gait Posture ; 104: 43-50, 2023 07.
Article em En | MEDLINE | ID: mdl-37307763
BACKGROUND: CMT is a clinically and genetically heterogenous disease with varying degrees of progression. Different foot deformities, gait and movement patterns are observed. In order to achieve an improved, targeted treatment strategy, the participants are divided into characteristic groups using a mathematical cluster analysis based on the data from the three-dimensional foot kinematics during walking. METHODS: Outpatients from age 5-64 years (N = 33 participants, 62 feet) with a proven CMT type 1 (N = 16, 31 feet) or CMT without any further type assignment (N = 17, 31 feet) were retrospectively analyzed. After a standard clinical examination, participants underwent 3D gait analysis using the Oxford Foot Model. To classify the movement patterns, a k-means cluster analysis was calculated based on the principal component analysis (PCA) of the foot kinematics data. Gait parameters, clinical parameters and X-ray data were statistically tested. RESULTS: The cluster analysis divided the gait data of the participants into two groups. Cluster 1 (N = 21 participants, 34 feet) showed increased dorsiflexion of the hindfoot and increased plantarflexion of the forefoot with cavus position in the sagittal plane, a hindfoot inversion and forefoot pronation with hindfoot varus in the frontal plane and in the transversal plane a forefoot adduction. Cluster 2 (N = 17 participants, 28 feet) deviated significantly from the norm mainly in the frontal plane and were characterized by a strong eversion of the hindfoot with a supination in the forefoot. DISCUSSION: Based on the findings, the resultant clusters can be interpreted as cavovarus feet (cluster 1) and pes valgus (cluster 2). The most reliable variables in the 3D gait analysis to classify CMT feet with regard to significance are the ones in the frontal plane. This subdivision of participants goes hand in hand with the various necessary guidelines for orthopedic treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Deformidades do Pé / Doença de Charcot-Marie-Tooth Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Humans / Middle aged Idioma: En Revista: Gait Posture Assunto da revista: ORTOPEDIA Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Deformidades do Pé / Doença de Charcot-Marie-Tooth Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Humans / Middle aged Idioma: En Revista: Gait Posture Assunto da revista: ORTOPEDIA Ano de publicação: 2023 Tipo de documento: Article