Literature DB >> 26522899

Predictors of Functional Outcome Following Stroke.

Richard L Harvey1.   

Abstract

Predicting functional outcome in stroke is challenging to most clinicians, partly because of the complexity of the condition and also because of the lack of validated prognostic models. The strongest predictors of functional outcome are age and motor function at stroke onset. There is a growing literature on predicting recovery of upper limb after stroke; however, literature on prediction of language recovery remains sparse. This review covers the current status of predicting functional outcome after stroke focusing on recovery of activities of daily living, ambulation, upper limb use, and aphasia. Use of clinical factors, imaging, and neurophysiological measures are discussed.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Functional outcome prediction; Language recovery; Motor function; Stroke

Mesh:

Year:  2015        PMID: 26522899     DOI: 10.1016/j.pmr.2015.07.002

Source DB:  PubMed          Journal:  Phys Med Rehabil Clin N Am        ISSN: 1047-9651            Impact factor:   1.784


  17 in total

1.  Changes in synaptic density in the subacute phase after ischemic stroke: A 11C-UCB-J PET/MR study.

Authors:  Laura Michiels; Nathalie Mertens; Liselot Thijs; Ahmed Radwan; Stefan Sunaert; Mathieu Vandenbulcke; Geert Verheyden; Michel Koole; Koen Van Laere; Robin Lemmens
Journal:  J Cereb Blood Flow Metab       Date:  2021-09-22       Impact factor: 6.960

2.  A Comparative Analysis of Functional Status and Mobility in Stroke Patients with and without Aphasia.

Authors:  Zbigniew Guzek; Wioletta Dziubek; Małgorzata Stefańska; Joanna Kowalska
Journal:  J Clin Med       Date:  2022-06-16       Impact factor: 4.964

Review 3.  Transcranial magnetic stimulation implementation on stroke prognosis.

Authors:  Stella Karatzetzou; Dimitrios Tsiptsios; Aikaterini Terzoudi; Nikolaos Aggeloussis; Konstantinos Vadikolias
Journal:  Neurol Sci       Date:  2021-11-30       Impact factor: 3.830

4.  The Responsiveness of the Lucerne ICF-Based Multidisciplinary Observation Scale: A Comparison with the Functional Independence Measure and the Barthel Index.

Authors:  Tim Vanbellingen; Beatrice Ottiger; Tobias Pflugshaupt; Jan Mehrholz; Stephan Bohlhalter; Tobias Nef; Thomas Nyffeler
Journal:  Front Neurol       Date:  2016-09-26       Impact factor: 4.003

5.  Prognostic Factors of Functional Recovery from Left Hemispheric Stroke.

Authors:  Siriphan Kongsawasdi; Jakkrit Klaphajone; Kanokwan Watcharasaksilp; Pakorn Wivatvongvana
Journal:  ScientificWorldJournal       Date:  2018-05-02

6.  Association of Lesion Location With Long-Term Recovery in Post-stroke Aphasia and Language Deficits.

Authors:  Bomi Sul; Kyoung Bo Lee; Bo Young Hong; Joon Sung Kim; Jaewon Kim; Woo Seop Hwang; Seong Hoon Lim
Journal:  Front Neurol       Date:  2019-07-24       Impact factor: 4.003

7.  Does Measurement of Corticospinal Tract Involvement Add Value to Clinical Behavioral Biomarkers in Predicting Motor Recovery after Stroke?

Authors:  Jong Youb Lim; Mi-Kyoung Oh; Jihong Park; Nam-Jong Paik
Journal:  Neural Plast       Date:  2020-11-27       Impact factor: 3.599

8.  Predicting language recovery in post-stroke aphasia using behavior and functional MRI.

Authors:  Michael Iorga; James Higgins; David Caplan; Richard Zinbarg; Swathi Kiran; Cynthia K Thompson; Brenda Rapp; Todd B Parrish
Journal:  Sci Rep       Date:  2021-04-19       Impact factor: 4.379

9.  Genetic and lifestyle predictors of ischemic stroke severity and outcome.

Authors:  Ivana Celap; Nora Nikolac Gabaj; Vida Demarin; Vanja Basic Kes; Ana-Maria Simundic
Journal:  Neurol Sci       Date:  2019-07-20       Impact factor: 3.307

10.  Brain Functional Networks Study of Subacute Stroke Patients With Upper Limb Dysfunction After Comprehensive Rehabilitation Including BCI Training.

Authors:  Qiong Wu; Zan Yue; Yunxiang Ge; Di Ma; Hang Yin; Hongliang Zhao; Gang Liu; Jing Wang; Weibei Dou; Yu Pan
Journal:  Front Neurol       Date:  2020-01-27       Impact factor: 4.003

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