Literature DB >> 25073571

Novel characterization of gait impairments in people with multiple sclerosis by means of the gait profile score.

Massimiliano Pau1, Giancarlo Coghe2, Claudia Atzeni3, Federica Corona3, Giuseppina Pilloni3, Maria Giovanna Marrosu2, Eleonora Cocco2, Manuela Galli4.   

Abstract

The assessment of gait abnormalities in individuals with multiple sclerosis (MS) represents a key factor in evaluating the effectiveness of rehabilitation treatments. Despite the availability of sophisticated equipment to objectively evaluate the kinematic aspects of gait, there are still some difficulties in processing the large and complex amount of data they produce in the daily clinical routine. On the basis of the above-mentioned considerations we propose a novel characterization of gait kinematics in individuals with MS, based on a single measure (gait profile score, GPS) obtained from a quantitative three-dimensional analysis of gait performed using an opto-electronic system. We also investigated the correlation between GPS and the Expanded Disability Status Scale (EDSS) values. Thirty-four patients suffering from relapsing-remitting MS (13 female, 21 male, mean age 46.7 years) with an EDSS score of ≤6 underwent a gait analysis from which the GPS index was calculated. Their results were compared with those of a control group of healthy age- and gender-matched subjects. The GPS of individuals with MS was found significantly higher with respect to controls (9.12° vs. 5.67°, p<0.001) as the result of kinematic differences in gait patterns referring to pelvic tilt and rotation, hip flexion-extension and rotation, knee flexion-extension and ankle dorsi- and plantar-flexion. A moderate correlation was also found between the EDSS score of the participants and their GPS values (r = 0.63, p < 0.001). The GPS index thus appears suitable to represent gait deviations from physiological patterns in individuals affected by MS and potentially useful in assessing the outcomes related both to rehabilitation programs and pharmacologic/physical therapies.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Expanded Disability Status Scale (EDSS); Gait; Gait profile score (GPS); Kinematics; Motion analysis; Multiple sclerosis (MS)

Mesh:

Year:  2014        PMID: 25073571     DOI: 10.1016/j.jns.2014.07.032

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  8 in total

1.  Fatigue, as measured using the Modified Fatigue Impact Scale, is a predictor of processing speed improvement induced by exercise in patients with multiple sclerosis: data from a randomized controlled trial.

Authors:  Giancarlo Coghe; Federica Corona; Elisabetta Marongiu; Giuseppe Fenu; Jessica Frau; Lorena Lorefice; Antonio Crisafulli; Manuela Galli; Alberto Concu; Maria Giovanna Marrosu; Massimiliano Pau; Eleonora Cocco
Journal:  J Neurol       Date:  2018-03-24       Impact factor: 4.849

2.  Nociplastic Pain in Multiple Sclerosis Spasticity: Dermatomal Evaluation, Treatment with Intradermal Saline Injection and Outcomes Assessed by 3D Gait Analysis: Review and a Case Report.

Authors:  Paolo De Blasiis; Giampaolo de Sena; Elisabetta Signoriello; Felice Sirico; Marta Imamura; Giacomo Lus
Journal:  Int J Environ Res Public Health       Date:  2022-06-27       Impact factor: 4.614

3.  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

4.  Walking improvements with nabiximols in patients with multiple sclerosis.

Authors:  G Coghe; M Pau; F Corona; J Frau; L Lorefice; G Fenu; G Spinicci; E Mamusa; L Musu; S Massole; R Massa; M G Marrosu; E Cocco
Journal:  J Neurol       Date:  2015-08-05       Impact factor: 4.849

5.  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

6.  Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without multiple sclerosis.

Authors:  Ross M Neuman; Staci M Shearin; Karen J McCain; Nicholas P Fey
Journal:  J Neuroeng Rehabil       Date:  2021-06-27       Impact factor: 4.262

7.  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

8.  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

  8 in total

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