| Literature DB >> 33265919 |
Stefanos Tsitlakidis1, Martin Schwarze1, Fabian Westhauser1, Korbinian Heubisch1, Axel Horsch1, Sébastien Hagmann1, Sebastian I Wolf1, Marco Götze1.
Abstract
As cerebral palsy (CP) is a complex disorder, classification of gait pathologies is difficult. It is assumed that unclassified patients show less functional impairment and less gait deviation. The aim of this study was to assess the different subgroups and the unclassified patients with unilateral CP using different gait indices. The Gillette Gait Index (GGI), Gait Deviation Index (GDI), Gait Profile Score (GPS) and spatiotemporal parameters derived from instrumented 3D-Gait Analysis (IGA) were assessed. Subgroups were defined using morphological and functional classification systems. Regarding the different gait indices, a ranking of the different gait patterns is evident. Significant differences were found between GMFCS level I and II, Winters et al. (Winters, Gage, Hicks; WGH) type IV and type I and the WGH-unclassified. Concerning the spatiotemporal parameters significant differences were found between GMFCS level I and II concerning velocity. The unclassified patients showed mean values for the different gait indices that were comparable to those of established subgroups. Established gait patterns cause different degrees of gait deviation and functional impairment. The unclassified patients do not differ from established gait patterns but from the unimpaired gait. Further evaluation using 3D-IGA is necessary to identify the underlying gait pathologies of the unclassified patients.Entities:
Keywords: 3D-instrumented gait analysis; classification; gait index; unclassified patterns; unilateral cerebral palsy
Year: 2020 PMID: 33265919 DOI: 10.3390/jcm9123888
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241