Literature DB >> 11725595

The recovery of walking ability and subclassification of stroke.

G Baer1, M Smith.   

Abstract

BACKGROUND AND
PURPOSE: The recovery of walking after a stroke is a key functional goal for many patients. Reports vary, but approximately 50-80% of patients will regain some degree of walking ability following stroke (Skilbeck et al., 1983). There are few data available to show whether different subclassifications of stroke have distinct patterns of gait recovery. The present paper describes the pattern of walking recovery in a population of stroke patients classified according to the Oxfordshire Community Stroke Project classification (Bamford et al., 1991).
METHOD: A prospective observational study. Stroke patients (n = 238) admitted to the inpatient Stroke Rehabilitation Unit at the Western General Hospital, Edinburgh were initially included, with data for 185 patients ultimately available for analysis. Standardized measures of recovery of 10 steps and a 10-metre walk were used routinely to examine recovery time of walking ability. The main outcome measures consisted of days taken to achieve a 10-step walk, days to achieve a 10-metre walk, and initial and discharge gait velocity over 10 meters.
RESULTS: Eighty-nine per cent of the sample (n = 164) achieved a 10-step walk in a median time of five days and a 10-metre walk in eight days. The median initial gait velocity was 0.45 m/s which improved by discharge to 0.55 m/s. Further analysis by subgroup revealed that subjects sustaining a partial anterior circulation infarct, lacunar infarct or posterior circulation infarct recovered significantly more quickly than those subjects with a total anterior circulation infarct (Kruskal Wallis test for days to achieve 10 steps (H = 22.524, N = 164, df = 3) p < 0.001; Kruskal Wallis test for days to achieve a 10-metre walk (H = 22.586, N = 164, df = 3) p < 0.001.
CONCLUSIONS: An hierarchical pattern of recovery of gait was observed with definite variation between the subclassifications of stroke. It is suggested that further work needs to be undertaken to identify more accurately the factors that may influence the recovery of walking following stroke.

Entities:  

Mesh:

Year:  2001        PMID: 11725595     DOI: 10.1002/pri.222

Source DB:  PubMed          Journal:  Physiother Res Int        ISSN: 1358-2267


  7 in total

Review 1.  Assessing walking speed in clinical research: a systematic review.

Authors:  James E Graham; Glenn V Ostir; Steven R Fisher; Kenneth J Ottenbacher
Journal:  J Eval Clin Pract       Date:  2008-05-02       Impact factor: 2.431

Review 2.  Relationship between test methodology and mean velocity in timed walk tests: a review.

Authors:  James E Graham; Glenn V Ostir; Yong-Fang Kuo; Steven R Fisher; Kenneth J Ottenbacher
Journal:  Arch Phys Med Rehabil       Date:  2008-05       Impact factor: 3.966

3.  Ankle dorsiflexion as an fMRI paradigm to assay motor control for walking during rehabilitation.

Authors:  Bruce H Dobkin; Ann Firestine; Michele West; Kaveh Saremi; Roger Woods
Journal:  Neuroimage       Date:  2004-09       Impact factor: 6.556

4.  A Randomized Controlled Evaluation of the Efficacy of an Ankle-Foot Cast on Walking Recovery Early After Stroke: SWIFT Cast Trial.

Authors:  Valerie M Pomeroy; Philip Rowe; Allan Clark; Andrew Walker; Andrew Kerr; Elizabeth Chandler; Mark Barber; Jean-Claude Baron
Journal:  Neurorehabil Neural Repair       Date:  2015-04-30       Impact factor: 3.919

Review 5.  Is Implicit Motor Learning Preserved after Stroke? A Systematic Review with Meta-Analysis.

Authors:  E Kal; M Winters; J van der Kamp; H Houdijk; E Groet; C van Bennekom; E Scherder
Journal:  PLoS One       Date:  2016-12-16       Impact factor: 3.240

6.  Effects of the Immobilization of the Upper Extremities on Spatiotemporal Gait Parameters during Walking in Stroke Patients: A Preliminary Study.

Authors:  Seung-Hyeon Hong; So-Young Jung; Hyeon-Kyung Oh; So-Hyeon Lee; Young-Keun Woo
Journal:  Biomed Res Int       Date:  2020-06-02       Impact factor: 3.411

7.  External Validation of the Early Prediction of Functional Outcome After Stroke Prediction Model for Independent Gait at 3 Months After Stroke.

Authors:  Janne M Veerbeek; Johannes Pohl; Jeremia P O Held; Andreas R Luft
Journal:  Front Neurol       Date:  2022-05-02       Impact factor: 4.003

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.