Literature DB >> 10699448

Defining post-stroke recovery: implications for design and interpretation of drug trials.

P W Duncan1, S M Lai, J Keighley.   

Abstract

Measurement of stroke recovery is complex because definition of successful recovery is highly variable across measures and cut-off points for defining successful outcomes vary. The purpose of this paper is to describe patterns of recovery in stroke patients of varying severity when different measures are used and when different cut-off points are selected. 459 individuals enrolled in a prospective cohort study were assessed within 14 days post stroke and re-evaluated at 1, 3, and 6 months. Recovery was assessed using the NIH Stroke Scale, the Fugl-Meyer Assessment of Motor Recovery, the Barthel Index of Activities of Daily Living, the Physical Function Index of the SF-36, and the Modified Rankin Outcome Scale. Subjects also defined their preference (utility) for their current health state with a time-trade off question. We compared patterns of recovery using the different measures and varying the cut-off points for defining successful recovery. The percentage of patients who are believed to have recovered depends on how recovery is defined. If recovery is defined at the disability level (Barthel > 90), the majority 57.3% of stroke survivors experience a full recovery. Fewer individuals are considered to be fully recovered if impairments are measured (NIH </= 1, 44.9% and Fugl-Meyer > 90, 36.8%. Less than 25% of stroke survivors are considered recovered if recovery is defined relative to reported prior function in higher levels of physical activity. Shifting the definition of recovery on the modified Rankin scale from </= 1 to </= 2 shifts the percentage of those deemed recovered from </= 25% to 53.8%. In designing drug trials the methods for defining stroke recovery should be carefully considered. If recovery is defined in terms of disability, a higher proportion of the placebo group will achieve the outcome than if impairments are used to define recovery. The benchmarks for recovery in minor strokes must include measures of higher functioning (e.g. the SF-36 physical functioning index or a Rankin 0 (no symptoms).

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Year:  2000        PMID: 10699448     DOI: 10.1016/s0028-3908(00)00003-4

Source DB:  PubMed          Journal:  Neuropharmacology        ISSN: 0028-3908            Impact factor:   5.250


  95 in total

1.  A meta-analysis of quality-of-life estimates for stroke.

Authors:  Tammy O Tengs; Ting H Lin
Journal:  Pharmacoeconomics       Date:  2003       Impact factor: 4.981

2.  Psychometric properties and administration of the wrist/hand subscales of the Fugl-Meyer Assessment in minimally impaired upper extremity hemiparesis in stroke.

Authors:  Stephen J Page; Peter Levine; Erinn Hade
Journal:  Arch Phys Med Rehabil       Date:  2012-07-01       Impact factor: 3.966

3.  Paradoxical Motor Recovery From a First Stroke After Induction of a Second Stroke: Reopening a Postischemic Sensitive Period.

Authors:  Steven R Zeiler; Robert Hubbard; Ellen M Gibson; Tony Zheng; Kwan Ng; Richard O'Brien; John W Krakauer
Journal:  Neurorehabil Neural Repair       Date:  2015-12-31       Impact factor: 3.919

4.  Claudin-1-Dependent Destabilization of the Blood-Brain Barrier in Chronic Stroke.

Authors:  Nikola Sladojevic; Svetlana M Stamatovic; Allison M Johnson; Jennifer Choi; Anna Hu; Sophie Dithmer; Ingolf E Blasig; Richard F Keep; Anuska V Andjelkovic
Journal:  J Neurosci       Date:  2018-11-30       Impact factor: 6.167

5.  Behavioral and neurophysiological effects of delayed training following a small ischemic infarct in primary motor cortex of squirrel monkeys.

Authors:  Scott Barbay; Erik J Plautz; Kathleen M Friel; Shawn B Frost; Numa Dancause; Ann M Stowe; Randolph J Nudo
Journal:  Exp Brain Res       Date:  2005-11-05       Impact factor: 1.972

Review 6.  Issues in selecting outcome measures to assess functional recovery after stroke.

Authors:  Sharon Barak; Pamela W Duncan
Journal:  NeuroRx       Date:  2006-10

7.  Smoking cessation treatment and outcomes patterns simulation: a new framework for evaluating the potential health and economic impact of smoking cessation interventions.

Authors:  Denis Getsios; Jenő P Marton; Nikhil Revankar; Alexandra J Ward; Richard J Willke; Dale Rublee; K Jack Ishak; James G Xenakis
Journal:  Pharmacoeconomics       Date:  2013-09       Impact factor: 4.981

Review 8.  Exosome-mediated amplification of endogenous brain repair mechanisms and brain and systemic organ interaction in modulating neurological outcome after stroke.

Authors:  Poornima Venkat; Jieli Chen; Michael Chopp
Journal:  J Cereb Blood Flow Metab       Date:  2018-06-11       Impact factor: 6.200

9.  Imaging correlates of motor recovery from cerebral infarction and their physiological significance in well-recovered patients.

Authors:  Dinesh G Nair; Siobhan Hutchinson; Felipe Fregni; Michael Alexander; Alvaro Pascual-Leone; Gottfried Schlaug
Journal:  Neuroimage       Date:  2006-10-27       Impact factor: 6.556

Review 10.  Functional magnetic resonance imaging in chronic ischaemic stroke.

Authors:  Evelyn M R Lake; Paolo Bazzigaluppi; Bojana Stefanovic
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-05       Impact factor: 6.237

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