Literature DB >> 15879321

Steps after stroke: capturing ambulatory recovery.

Marianne Shaughnessy1, Kathleen M Michael, John D Sorkin, Richard F Macko.   

Abstract

BACKGROUND AND
PURPOSE: Nearly two thirds of stroke survivors have deficits impairing ambulatory recovery. Conventional mobility outcome measures such as timed walks and functional independence measure (FIM) do not quantify free-living ambulatory behavior. This study compared step activity monitoring (SAM) with established instruments to assess ambulatory recovery across the outpatient subacute stroke rehabilitation phase.
METHODS: We measured FIM mobility subscale, SAM-derived daily steps, Stroke Impact Scale (SIS) mobility scores, and timed walks in 11 subjects after discharge from inpatient rehabilitation and again 3 months later.
RESULTS: Significant improvement was measured in free-living step activity (mean gain 80%; P=0.001) but not with timed walks (P=0.4), FIM (P=0.08), or SIS mobility scales (P=0.3).
CONCLUSIONS: Microprocessor-linked SAM is a sensitive indicator of ambulatory recovery that measures improvements not captured by other conventional outcome instruments.

Entities:  

Mesh:

Year:  2005        PMID: 15879321     DOI: 10.1161/01.STR.0000166202.00669.d2

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  30 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

2.  Adherence to accelerometry measurement of community ambulation poststroke.

Authors:  Sharon Barak; Samuel S Wu; Yunfeng Dai; Pamela W Duncan; Andrea L Behrman
Journal:  Phys Ther       Date:  2013-09-12

3.  Identifying activity levels and steps of people with stroke using a novel shoe-based sensor.

Authors:  George D Fulk; S Ryan Edgar; Rebecca Bierwirth; Phil Hart; Paulo Lopez-Meyer; Edward Sazonov
Journal:  J Neurol Phys Ther       Date:  2012-06       Impact factor: 3.649

4.  Objective functional assessment after a head injury using movement and activity in physical space scores: a case report.

Authors:  James L Farnsworth; Danielle McElhiney; Shannon David; Gaurav Sinha; Brian G Ragan
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5.  Using sensors to measure activity in people with stroke.

Authors:  George D Fulk; Edward Sazonov
Journal:  Top Stroke Rehabil       Date:  2011 Nov-Dec       Impact factor: 2.119

Review 6.  Task-oriented treadmill exercise training in chronic hemiparetic stroke.

Authors:  Frederick M Ivey; Charlene E Hafer-Macko; Richard F Macko
Journal:  J Rehabil Res Dev       Date:  2008

7.  Total hip arthroplasty in patients 50 years or less: do we improve activity profiles?

Authors:  Margaret Kuhn; Marcie Harris-Hayes; Karen Steger-May; Gail Pashos; John C Clohisy
Journal:  J Arthroplasty       Date:  2013-03-15       Impact factor: 4.757

8.  Ventilatory threshold may be a more specific measure of aerobic capacity than peak oxygen consumption rate in persons with stroke.

Authors:  Pierce Boyne; Darcy Reisman; Michael Brian; Brian Barney; Ava Franke; Daniel Carl; Jane Khoury; Kari Dunning
Journal:  Top Stroke Rehabil       Date:  2016-07-25       Impact factor: 2.119

9.  Biomechanical variables related to walking performance 6-months following post-stroke rehabilitation.

Authors:  A L Hall; M G Bowden; S A Kautz; R R Neptune
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-08-20       Impact factor: 2.063

10.  Community walking activity in neurological disorders with leg weakness.

Authors:  M E Busse; C M Wiles; R W M van Deursen
Journal:  J Neurol Neurosurg Psychiatry       Date:  2006-03       Impact factor: 10.154

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