Literature DB >> 24095856

Use of the gait profile score for the evaluation of patients with joint hypermobility syndrome/Ehlers-Danlos syndrome hypermobility type.

Claudia Celletti1, Manuela Galli, Veronica Cimolin, Marco Castori, Nunzio Tenore, Giorgio Albertini, Filippo Camerota.   

Abstract

Gait analysis (GA) is widely used for clinical evaluations in various pathological states, both in children and in adults, such as in patients with joint hypermobility syndrome/Ehlers-Danlos syndrome hypermobility type (JHS/EDS-HT). Otherwise, GA produces a large volume of data and there is the clinical need to provide also a quantitative measure of the patient's overall gait. Starting from this aim some global indexes were proposed by literature as a summary measure of the patient's gait, such as the Gait Profile Score (GPS). While validity of the GPS was demonstrated for the evaluation of the functional limitation of children with Cerebral Palsy, no studies have been conducted in patients JHS/EDS-HT. The aim of our study was therefore to investigate the effectiveness of the GPS in the quantification of functional limitation of patients with JHS/EDS-HT. Twenty-one adult (age: 36.1 ± 12.7 years) individuals with JHS/EDS-HT were evaluated using GA and from GA data the GPS was computed. The results evidenced that the GPS value of patients was 8.9 ± 2.6, statistically different from 4.6 ± 0.9 displayed by the control group. In particular, all values of Gait Variable Scores (GVS) which compose the GPS were higher if compared to controls, with the exception of Pelvic Tilt and Foot Progression. The correlations between GPS/GVS and Lower Extremity Functional Scale (LEFS) showed significant relationship between GPS and the item 11 ("Walking 2 blocks") (ρ=-0.56; p<0.05) and 12 ("Walking a mile") of LEFS (ρ=-0.76; p<0.05). Our results showed that GPS and GVS seem to be appropriate outcome measures for the evaluation of the functional limitation during gait of patients with JHS/EDS-HT.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gait Profile Score; Gait analysis; Joint hypermobility syndrome; Walking

Mesh:

Year:  2013        PMID: 24095856     DOI: 10.1016/j.ridd.2013.09.019

Source DB:  PubMed          Journal:  Res Dev Disabil        ISSN: 0891-4222


  5 in total

1.  The effects of neuromuscular taping on gait walking strategy in a patient with joint hypermobility syndrome/Ehlers-Danlos syndrome hypermobility type.

Authors:  Filippo Camerota; Manuela Galli; Veronica Cimolin; Claudia Celletti; Andrea Ancillao; David Blow; Giorgio Albertini
Journal:  Ther Adv Musculoskelet Dis       Date:  2015-02       Impact factor: 5.346

2.  Brain Asymmetry and Its Effects on Gait Strategies in Hemiplegic Patients: New Rehabilitative Conceptions.

Authors:  Luca Vismara; Veronica Cimolin; Francesca Buffone; Matteo Bigoni; Daniela Clerici; Serena Cerfoglio; Manuela Galli; Alessandro Mauro
Journal:  Brain Sci       Date:  2022-06-18

3.  Gait strategy and body composition in patients with Prader-Willi syndrome.

Authors:  Veronica Cimolin; Nicola Cau; Manuela Galli; Massimiliano Pau; Cinzia Parisio; Antonella Saezza; Graziano Grugni; Paolo Capodaglio
Journal:  Eat Weight Disord       Date:  2019-12-04       Impact factor: 4.652

4.  Effects of Physical Rehabilitation Integrated with Rhythmic Auditory Stimulation on Spatio-Temporal and Kinematic Parameters of Gait in Parkinson's Disease.

Authors:  Massimiliano Pau; Federica Corona; Roberta Pili; Carlo Casula; Fabrizio Sors; Tiziano Agostini; Giovanni Cossu; Marco Guicciardi; Mauro Murgia
Journal:  Front Neurol       Date:  2016-08-11       Impact factor: 4.003

5.  Measuring Abnormality in High Dimensional Spaces with Applications in Biomechanical Gait Analysis.

Authors:  Michael Marks; Trevor Kingsbury; Richard Bryant; John David Collins; Marilynn Wyatt
Journal:  Sci Rep       Date:  2018-10-19       Impact factor: 4.379

  5 in total

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