Literature DB >> 18358723

Are the recommendations from three-dimensional gait analysis associated with better postoperative outcomes in patients with cerebral palsy?

Mauro César de Morais Filho1, Rafael Yoshida, Wander da Silva Carvalho, Helena Elisa Stein, Neil Ferreira Novo.   

Abstract

This study was performed to check if recommendations based on three-dimensional gait analysis (3DGA) are associated with better postoperative outcomes in patients with cerebral palsy (CP). Thirty-eight patients who underwent orthopedic surgery and assessment at the Gait Analysis Laboratory were evaluated retrospectively. The patients were divided in four groups according to the agreement between the recommendations from gait analysis and the procedures actually carried out. Fifteen patients with diplegic spastic cerebral palsy and indication for orthopedic surgery to improve walking - and whose surgical intervention was postponed - were also included in the study as a control group. Fourteen gait parameters recorded before and after treatment, were included in the statistical analysis. No gait improvement was noted in the control group or inh patients on whom no procedures recommended by the gait exam were performed (agreement of 0%). In the other groups, agreements averaged 46.71%, 72.2%, and 100%, respectively. Improvement of gait parameters after treatment was observed in these groups, with more significant values directly related to increased agreement percentage. Therefore, in this study the patients whose treatment matched the recommendations from three-dimensional gait analysis showed a more significant improvement in walking.

Entities:  

Mesh:

Year:  2008        PMID: 18358723     DOI: 10.1016/j.gaitpost.2008.01.013

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  8 in total

1.  Preliminary evidence of altered biomechanics in adolescents with juvenile fibromyalgia.

Authors:  Soumitri Sil; Staci Thomas; Christopher DiCesare; Daniel Strotman; Tracy V Ting; Gregory Myer; Susmita Kashikar-Zuck
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-01       Impact factor: 4.794

Review 2.  [Bilateral spastic cerebral palsy with ambulatory ability (diplegia): pathophysiology, state of the art of conservative and surgical treatment and rehabilitation].

Authors:  B Westhoff; D Bittersohl; R Krauspe
Journal:  Orthopade       Date:  2014-07       Impact factor: 1.087

3.  Can biomechanical variables predict improvement in crouch gait?

Authors:  Jennifer L Hicks; Scott L Delp; Michael H Schwartz
Journal:  Gait Posture       Date:  2011-05-26       Impact factor: 2.840

4.  A principal component analysis approach to correcting the knee flexion axis during gait.

Authors:  Elisabeth Jensen; Vipul Lugade; Jeremy Crenshaw; Emily Miller; Kenton Kaufman
Journal:  J Biomech       Date:  2016-04-02       Impact factor: 2.712

Review 5.  Perspective on musculoskeletal modelling and predictive simulations of human movement to assess the neuromechanics of gait.

Authors:  Friedl De Groote; Antoine Falisse
Journal:  Proc Biol Sci       Date:  2021-03-03       Impact factor: 5.349

Review 6.  Gait analysis using wearable sensors.

Authors:  Weijun Tao; Tao Liu; Rencheng Zheng; Hutian Feng
Journal:  Sensors (Basel)       Date:  2012-02-16       Impact factor: 3.576

7.  Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies.

Authors:  Antoine Falisse; Gil Serrancolí; Christopher L Dembia; Joris Gillis; Ilse Jonkers; Friedl De Groote
Journal:  J R Soc Interface       Date:  2019-08-21       Impact factor: 4.118

8.  Pre-treatment EMG can be used to model post-treatment muscle coordination during walking in children with cerebral palsy.

Authors:  Lorenzo Pitto; Sam van Rossom; Kaat Desloovere; Guy Molenaers; Catherine Huenaerts; Friedl De Groote; Ilse Jonkers
Journal:  PLoS One       Date:  2020-02-12       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.