Literature DB >> 24805892

Prediction of responders for outcome measures of locomotor Experience Applied Post Stroke trial.

Bruce H K Dobkin1, Stephen E Nadeau, Andrea L Behrman, Samuel S Wu, Dorian K Rose, Mark Bowden, Stephanie Studenski, Xiaomin Lu, Pamela W Duncan.   

Abstract

The Locomotor Experience Applied Post Stroke rehabilitation trial found equivalent walking outcomes for body weight-supported treadmill plus overground walking practice versus home-based exercise that did not emphasize walking. From this large database, we examined several clinically important questions that provide insights into recovery of walking that may affect future trial designs. Using logistic regression analyses, we examined predictors of response based on a variety of walking speed-related outcomes and measures that captured disability, physical impairment, and quality of life. The most robust predictor was being closer at baseline to the primary outcome measure, which was the functional walking speed thresholds of 0.4 m/s (household walking) and 0.8 m/s (community walking). Regardless of baseline walking speed, a younger age and higher Berg Balance Scale score were relative predictors of responding, whether operationally defined by transitioning beyond each speed boundary or by a continuous change or a greater than median increase in walking speed. Of note, the cutoff values of 0.4 and 0.8 m/s had no particular significance compared with other walking speed changes despite their general use as descriptors of functional levels of walking. No evidence was found for any difference in predictors based on treatment group.

Entities:  

Keywords:  LEAPS; community ambulation; exercise; functional walking level; gait speed; outcome measures; physical zzm321990therapy; quality of life; stroke rehabilitation; walking

Mesh:

Year:  2014        PMID: 24805892      PMCID: PMC4374620          DOI: 10.1682/JRRD.2013.04.0080

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  23 in total

1.  Reliability and validity of bilateral ankle accelerometer algorithms for activity recognition and walking speed after stroke.

Authors:  Bruce H Dobkin; Xiaoyu Xu; Maxim Batalin; Seth Thomas; William Kaiser
Journal:  Stroke       Date:  2011-06-02       Impact factor: 7.914

Review 2.  Effects of augmented exercise therapy on outcome of gait and gait-related activities in the first 6 months after stroke: a meta-analysis.

Authors:  Janne M Veerbeek; Muriel Koolstra; Johannes C F Ket; Erwin E H van Wegen; Gert Kwakkel
Journal:  Stroke       Date:  2011-10-13       Impact factor: 7.914

3.  Participation in community walking following stroke: subjective versus objective measures and the impact of personal factors.

Authors:  Cynthia A Robinson; Anne Shumway-Cook; Marcia A Ciol; Deborah Kartin
Journal:  Phys Ther       Date:  2011-10-14

4.  Evaluating a complex intervention with a single outcome may not be a good idea: an example from a randomised trial of stroke case management.

Authors:  Nancy E Mayo; Susan Scott
Journal:  Age Ageing       Date:  2011-11       Impact factor: 10.668

Review 5.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

6.  Who may benefit from robotic-assisted gait training? A randomized clinical trial in patients with subacute stroke.

Authors:  Giovanni Morone; Maura Bragoni; Marco Iosa; Domenico De Angelis; Vincenzo Venturiero; Paola Coiro; Luca Pratesi; Stefano Paolucci
Journal:  Neurorehabil Neural Repair       Date:  2011-03-26       Impact factor: 3.919

7.  Health-related quality of life after stroke: does response shift occur in self-perceived physical function?

Authors:  Ruth Barclay-Goddard; Lisa M Lix; Robert Tate; Leah Weinberg; Nancy E Mayo
Journal:  Arch Phys Med Rehabil       Date:  2011-11       Impact factor: 3.966

8.  Should body weight-supported treadmill training and robotic-assistive steppers for locomotor training trot back to the starting gate?

Authors:  Bruce H Dobkin; Pamela W Duncan
Journal:  Neurorehabil Neural Repair       Date:  2012-03-12       Impact factor: 3.919

9.  Classification of walking handicap in the stroke population.

Authors:  J Perry; M Garrett; J K Gronley; S J Mulroy
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

10.  Test-retest reliability of trunk accelerometric gait analysis.

Authors:  Marius Henriksen; H Lund; R Moe-Nilssen; H Bliddal; B Danneskiod-Samsøe
Journal:  Gait Posture       Date:  2004-06       Impact factor: 2.840

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  21 in total

Review 1.  The Specific Requirements of Neural Repair Trials for Stroke.

Authors:  Bruce H Dobkin; S Thomas Carmichael
Journal:  Neurorehabil Neural Repair       Date:  2015-09-10       Impact factor: 3.919

2.  Adaptive Physical Activity for Stroke: An Early-Stage Randomized Controlled Trial in the United States.

Authors:  Mary Stuart; Alexander W Dromerick; Richard Macko; Francesco Benvenuti; Brock Beamer; John Sorkin; Sarah Chard; Michael Weinrich
Journal:  Neurorehabil Neural Repair       Date:  2019-07-11       Impact factor: 3.919

3.  Balance impairment limits ability to increase walking speed in individuals with chronic stroke.

Authors:  Addie Middleton; Carty H Braun; Michael D Lewek; Stacy L Fritz
Journal:  Disabil Rehabil       Date:  2016-03-13       Impact factor: 3.033

4.  A Rehabilitation-Internet-of-Things in the Home to Augment Motor Skills and Exercise Training.

Authors:  Bruce H Dobkin
Journal:  Neurorehabil Neural Repair       Date:  2016-11-24       Impact factor: 3.919

5.  Lesion location associated with balance recovery and gait velocity change after rehabilitation in stroke patients.

Authors:  Hyun Im Moon; Hyo Jeong Lee; Seo Yeon Yoon
Journal:  Neuroradiology       Date:  2017-05-18       Impact factor: 2.804

6.  The Effects of Stroke Type, Locus, and Extent on Long-Term Outcome of Gait Rehabilitation: The LEAPS Experience.

Authors:  Stephen E Nadeau; Bruce Dobkin; Samuel S Wu; Qinglin Pei; Pamela W Duncan
Journal:  Neurorehabil Neural Repair       Date:  2015-10-23       Impact factor: 3.919

7.  Implementation of High-Intensity Stepping Training During Inpatient Stroke Rehabilitation Improves Functional Outcomes.

Authors:  Jennifer L Moore; Jan E Nordvik; Anne Erichsen; Ingvild Rosseland; Elisabeth Bø; T George Hornby
Journal:  Stroke       Date:  2019-12-30       Impact factor: 7.914

8.  Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review.

Authors:  Jennapher Lingo VanGilder; Andrew Hooyman; Daniel S Peterson; Sydney Y Schaefer
Journal:  Curr Phys Med Rehabil Rep       Date:  2020-09-10

9.  Fluid Cognitive Abilities Are Important for Learning and Retention of a New, Explicitly Learned Walking Pattern in Individuals After Stroke.

Authors:  Margaret A French; Matthew L Cohen; Ryan T Pohlig; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2021-03-23       Impact factor: 3.919

10.  Locomotor Training and Strength and Balance Exercises for Walking Recovery After Stroke: Response to Number of Training Sessions.

Authors:  Dorian K Rose; Stephen E Nadeau; Samuel S Wu; Julie K Tilson; Bruce H Dobkin; Qinglin Pei; Pamela W Duncan
Journal:  Phys Ther       Date:  2017-11-01
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