Literature DB >> 32209795

Prediction of Independent Gait in Acute Stroke Patients with Hemiplegia Using the Ability for Basic Movement Scale II Score.

Hiroyuki Uwatoko1, Masahiro Nakamori2, Eiji Imamura3, Takeshi Imura4, Kazunori Okada1, Yoshikazu Matsumae1, Hiroyuki Okamoto1, Shinichi Wakabayashi5.   

Abstract

INTRODUCTION: Since independent gait is an important factor for home discharge, early prediction of independent gait after stroke is essential. The revised version of the Ability for Basic Movement Scale II (ABMS II) has been developed and validated for assessment of basic movements poststroke.
OBJECTIVE: The purpose of this study was to investigate the predictive value of the ABMS II score for independent gait in acute stroke patients with hemiplegia.
METHODS: We included 67 patients with first stroke and a unilateral lesion who were admitted to the stroke care unit. We evaluated the gait on the 14th and 90th days from admission.
RESULTS: The ABMS II score was significantly higher in patients with independent gait on both the 14th and 90th days from admission. On receiver operating characteristic curve analysis, a minimum score of 26 points was predictive of independent gait on the 14th day from admission. Similarly, a score of 15 points was predictive of independent gait on the 90th day from admission.
CONCLUSIONS: The ABMS II score is a useful predictor of independent gait in acute stroke patients with hemiplegia.
© 2020 S. Karger AG, Basel.

Entities:  

Keywords:  Ability for Basic Movement Scale II score; Independent gait; Rehabilitation; Stroke care unit; Trunk function

Year:  2020        PMID: 32209795     DOI: 10.1159/000506421

Source DB:  PubMed          Journal:  Eur Neurol        ISSN: 0014-3022            Impact factor:   1.710


  4 in total

1.  Effect of Hand Intensive Training on Upper Limb Function of Stroke Patients with Hemiplegia.

Authors:  Xiaoxia Gou; Xian Zhang; Xiaxia Zheng; Yaozhong Zhang; Hongxiang Ma
Journal:  Comput Math Methods Med       Date:  2022-03-25       Impact factor: 2.238

2.  Intervention Effect of Rehabilitation Robotic Bed Under Machine Learning Combined With Intensive Motor Training on Stroke Patients With Hemiplegia.

Authors:  Guangliang Liu; Haiqin Cai; Naruemon Leelayuwat
Journal:  Front Neurorobot       Date:  2022-06-09       Impact factor: 3.493

3.  A systematic review of the usefulness of magnetic resonance imaging in predicting the gait ability of stroke patients.

Authors:  Takeshi Imura; Tsubasa Mitsutake; Yuji Iwamoto; Ryo Tanaka
Journal:  Sci Rep       Date:  2021-07-12       Impact factor: 4.379

4.  Rehabilitation Evaluation of Hemiplegic Patients with Anterior Circulation Cerebral Infarction Based on Cranial Magnetic Stimulation.

Authors:  Zhengde Tao; Gaofeng Rao; Shasha Wu; Yongqiang Lin; Jinqiao Wang; Zhirui Chen
Journal:  J Healthc Eng       Date:  2021-07-29       Impact factor: 2.682

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.