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The influence of muscle strength on the gait profile score (GPS) across different patients.
MedLine Citation:
PMID:  23810568     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
BACKGROUND: Muscle strength greatly influences gait kinematics. The question was whether this association is similar in different diseases.
METHODS: Data from instrumented gait analysis of 716 patients were retrospectively assessed. The effect of muscle strength on gait deviations, namely the gait profile score (GPS) was evaluated by means of generalised least square models. This was executed for seven different patient groups. The groups were formed according to the type of disease: orthopaedic/neurologic, uni-/bilateral affection, and flaccid/spastic muscles.
RESULTS: Muscle strength had a negative effect on GPS values, which did not significantly differ amongst the different patient groups. However, an offset of the GPS regression line was found, which was mostly dependent on the basic disease. Surprisingly, spastic patients, who have reduced strength and additionally spasticity in clinical examination, and flaccid neurologic patients showed the same offset. Patients with additional lack of trunk control (Tetraplegia) showed the largest offset.
CONCLUSION: Gait kinematics grossly depend on muscle strength. This was seen in patients with very different pathologies. Nevertheless, optimal correction of biomechanics and muscle strength may still not lead to a normal gait, especially in that of neurologic patients. The basic disease itself has an additional effect on gait deviations expressed as a GPS-offset of the linear regression line.
Authors:
Katrin Schweizer; Jacqueline Romkes; Michael Coslovsky; Reinald Brunner
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-6-27
Journal Detail:
Title:  Gait & posture     Volume:  -     ISSN:  1879-2219     ISO Abbreviation:  Gait Posture     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2013-7-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9416830     Medline TA:  Gait Posture     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2013 Elsevier B.V. All rights reserved.
Affiliation:
Laboratory for Movement Analysis, University Children's Hospital Basel (UKBB), Switzerland; Clinical Morphology and Biomedical Engineering, University of Basel, Switzerland.
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