Literature DB >> 34456442

Berg Balance Scale Score as a Predictor of Independent Walking at Discharge among Adult Stroke Survivors.

Joanna Jenkin1,2, Stephanie Parkinson3, Angela Jacques3, Lay Kho1,4, Kylie Hill3,4.   

Abstract

Purpose: The purpose of this study was to determine which admission clinical assessment or assessments best predict independent walking at discharge (IW-DC) among adults with unilateral impairments hospitalized for rehabilitation post-stroke. Method: On admission, we collected measures of balance (Berg Balance Scale [BBS]), physical function (Chedoke McMaster Stroke Assessment - Activity Inventory), postural and leg motor control (Chedoke McMaster Stroke Assessment - Impairment Inventory), functional independence (FIM), sensation and proprioception, and pushing behaviour (Four-Point Pusher Score). Logistic regression determined which measures influenced the odds of IW-DC. A receiver operating characteristic (ROC) curve determined the cut-points for variables retained in a multivariable model.
Results: Data were available for 68 participants, aged a median of 57 (interquartile range [IQR] 16) years, who had received inpatient rehabilitation for a median of 8 (IQR 10) weeks. The odds of IW-DC were reduced with greater impairments in motor control, sensation, or proprioception and with pusher behaviour and increased with lesser impairments in balance, physical function, and functional independence. Only the BBS was retained in the multivariable model (OR 1.23; 95% CI: 1.02, 1.49). An admission BBS score of 14 or more points (sensitivity 0.73; specificity 0.89) predicted IW-DC (area under the ROC curve 0.81; 95% CI: 0.71, 0.92). Conclusions: Among adult stroke survivors, a BBS score of 14 or more provides information on the odds of achieving IW-DC. © Canadian Physiotherapy Association.

Entities:  

Keywords:  rehabilitation; stroke; walking

Year:  2021        PMID: 34456442      PMCID: PMC8370698          DOI: 10.3138/ptc-2019-0090

Source DB:  PubMed          Journal:  Physiother Can        ISSN: 0300-0508            Impact factor:   1.039


  15 in total

1.  Is accurate prediction of gait in nonambulatory stroke patients possible within 72 hours poststroke? The EPOS study.

Authors:  J M Veerbeek; E E H Van Wegen; B C Harmeling-Van der Wel; G Kwakkel
Journal:  Neurorehabil Neural Repair       Date:  2010-12-26       Impact factor: 3.919

2.  Predictive factors for ambulation in stroke patients in the rehabilitation setting: a multivariate analysis.

Authors:  Stefano Masiero; Renato Avesani; Mario Armani; Postal Verena; Mario Ermani
Journal:  Clin Neurol Neurosurg       Date:  2007-09-04       Impact factor: 1.876

3.  Prediction of discharge walking ability from initial assessment in a stroke inpatient rehabilitation facility population.

Authors:  Marghuretta D Bland; Audra Sturmoski; Michelle Whitson; Lisa Tabor Connor; Robert Fucetola; Thy Huskey; Maurizio Corbetta; Catherine E Lang
Journal:  Arch Phys Med Rehabil       Date:  2012-03-20       Impact factor: 3.966

4.  Use of the Berg Balance Scale to predict independent gait after stroke: a study of an inpatient population in Japan.

Authors:  Hyuma Makizako; Norihito Kabe; Asami Takano; Kanako Isobe
Journal:  PM R       Date:  2015-01-26       Impact factor: 2.298

5.  The functional independence measure: a new tool for rehabilitation.

Authors:  R A Keith; C V Granger; B B Hamilton; F S Sherwin
Journal:  Adv Clin Rehabil       Date:  1987

Review 6.  Predictors of poststroke mobility: systematic review.

Authors:  Louise E Craig; Olivia Wu; Julie Bernhardt; Peter Langhorne
Journal:  Int J Stroke       Date:  2011-08       Impact factor: 5.266

7.  A Core Set of Outcome Measures for Adults With Neurologic Conditions Undergoing Rehabilitation: A CLINICAL PRACTICE GUIDELINE.

Authors:  Jennifer L Moore; Kirsten Potter; Kathleen Blankshain; Sandra L Kaplan; Linda C OʼDwyer; Jane E Sullivan
Journal:  J Neurol Phys Ther       Date:  2018-07       Impact factor: 3.649

Review 8.  Usefulness of the Berg Balance Scale in stroke rehabilitation: a systematic review.

Authors:  Lisa Blum; Nicol Korner-Bitensky
Journal:  Phys Ther       Date:  2008-02-21

9.  Measuring balance in the elderly: validation of an instrument.

Authors:  K O Berg; S L Wood-Dauphinee; J I Williams; B Maki
Journal:  Can J Public Health       Date:  1992 Jul-Aug

10.  Measuring physical impairment and disability with the Chedoke-McMaster Stroke Assessment.

Authors:  C Gowland; P Stratford; M Ward; J Moreland; W Torresin; S Van Hullenaar; J Sanford; S Barreca; B Vanspall; N Plews
Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

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