Literature DB >> 17178824

Trunk performance after stroke: an eye catching predictor of functional outcome.

Geert Verheyden1, Alice Nieuwboer, Liesbet De Wit, Hilde Feys, Birgit Schuback, Ilse Baert, Walter Jenni, Wilfried Schupp, Vincent Thijs, Willy De Weerdt.   

Abstract

BACKGROUND AND AIMS: Trunk performance is an important predictor of functional outcome after stroke. However, the percentage of explained variance varies considerably between studies. This may be explained by the stroke population examined, the different scales used to assess trunk performance and the time points used to measure outcome. The aim of this multicentre study was to examine the predictive validity of the Trunk Impairment Scale (TIS) and its subscales when predicting the Barthel Index score at 6 months after stroke.
METHODS: A total of 102 subjects were recruited in three European rehabilitation centres. Participants were assessed on admission (median time since stroke onset 20 days) and 6 months after stroke. Correlation analysis and forward stepwise multiple regression analysis were used to model outcome.
RESULTS: The best predictors of the Barthel Index scores at 6 months after stroke were total TIS score (partial R2 = 0.52, p<.0001) and static sitting balance subscale score (partial R2 = 0.50, p<.0001) on admission. The TIS score on admission and its static sitting balance subscale were stronger predictors of the Barthel Index score at 6 months than the Barthel Index score itself on admission.
CONCLUSIONS: This study emphasises the importance of trunk performance, especially static sitting balance, when predicting functional outcome after stroke. The TIS is recommended as a prediction instrument in the rehabilitation setting when considering the prognosis of stroke patients. Future studies should address the evolution of trunk performance over time and the evaluation of treatment interventions to improve trunk performance.

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Year:  2006        PMID: 17178824      PMCID: PMC2117706          DOI: 10.1136/jnnp.2006.101642

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  26 in total

Review 1.  The impact of stroke.

Authors:  C D Wolfe
Journal:  Br Med Bull       Date:  2000       Impact factor: 4.291

2.  Trunk control test as a functional predictor in stroke patients.

Authors:  E Duarte; E Marco; J M Muniesa; R Belmonte; P Diaz; M Tejero; F Escalada
Journal:  J Rehabil Med       Date:  2002-11       Impact factor: 2.912

3.  Psychometric properties and practical attributes of the trunk control test in stroke patients.

Authors:  Franco Franchignoni
Journal:  J Rehabil Med       Date:  2003-05       Impact factor: 2.912

4.  Discriminative, predictive, and evaluative properties of a trunk control measure in patients with stroke.

Authors:  Chun-Hou Wang; I-Ping Hsueh; Ching-Fan Sheu; Ching-Lin Hsieh
Journal:  Phys Ther       Date:  2005-09

5.  Trunk control as an early predictor of comprehensive activities of daily living function in stroke patients.

Authors:  Ching-Lin Hsieh; Ching-Fan Sheu; I-Ping Hsueh; Chun-Hou Wang
Journal:  Stroke       Date:  2002-11       Impact factor: 7.914

6.  Use of time by stroke patients: a comparison of four European rehabilitation centers.

Authors:  Liesbet De Wit; Koen Putman; Eddy Dejaeger; Ilse Baert; Peter Berman; Kris Bogaerts; Nadine Brinkmann; Louise Connell; Hilde Feys; Walter Jenni; Christiane Kaske; Emmanuel Lesaffre; Mark Leys; Nadina Lincoln; Fred Louckx; Birgit Schuback; Wilfried Schupp; Bozena Smith; Willy De Weerdt
Journal:  Stroke       Date:  2005-08-04       Impact factor: 7.914

7.  Trunk performance after stroke and the relationship with balance, gait and functional ability.

Authors:  Geert Verheyden; Luc Vereeck; Steven Truijen; Mark Troch; Iris Herregodts; Cristophe Lafosse; Alice Nieuwboer; Willy De Weerdt
Journal:  Clin Rehabil       Date:  2006-05       Impact factor: 3.477

8.  Development of a new measure to assess trunk impairment after stroke (trunk impairment scale): its psychometric properties.

Authors:  Toshiyuki Fujiwara; Meigen Liu; Tetsuya Tsuji; Shigeru Sonoda; Katsuhiro Mizuno; Kazuto Akaboshi; Kimitaka Hase; Yoshihisa Masakado; Naoichi Chino
Journal:  Am J Phys Med Rehabil       Date:  2004-09       Impact factor: 2.159

9.  The Trunk Impairment Scale: a new tool to measure motor impairment of the trunk after stroke.

Authors:  G Verheyden; A Nieuwboer; J Mertin; R Preger; C Kiekens; W De Weerdt
Journal:  Clin Rehabil       Date:  2004-05       Impact factor: 3.477

10.  Change in stroke incidence, mortality, case-fatality, severity, and risk factors in Oxfordshire, UK from 1981 to 2004 (Oxford Vascular Study).

Authors:  P M Rothwell; A J Coull; M F Giles; S C Howard; L E Silver; L M Bull; S A Gutnikov; P Edwards; D Mant; C M Sackley; A Farmer; P A G Sandercock; M S Dennis; C P Warlow; J M Bamford; P Anslow
Journal:  Lancet       Date:  2004-06-12       Impact factor: 79.321

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  26 in total

Review 1.  A review on assessment and treatment of the trunk in stroke: A need or luxury.

Authors:  Suruliraj Karthikbabu; Mahabala Chakrapani; Sailakshmi Ganeshan; Kedambadi C Rakshith; Syed Nafeez; Venkatesan Prem
Journal:  Neural Regen Res       Date:  2012-09-05       Impact factor: 5.135

2.  Trunk flexor and extensor muscle performance in chronic stroke patients: a case-control study.

Authors:  Ludmylla Ferreira Quintino; Juliane Franco; Amanda Ferreira Machado Gusmão; Paula Fernanda De Sousa Silva; Christina Danielli Coelho De Morais Faria
Journal:  Braz J Phys Ther       Date:  2017-12-12       Impact factor: 3.377

3.  Geriatric rehabilitation of stroke patients in nursing homes: a study protocol.

Authors:  Monica Spruit-van Eijk; Bianca I Buijck; Sytse U Zuidema; Frans L M Voncken; Alexander C H Geurts; Raymond T C M Koopmans
Journal:  BMC Geriatr       Date:  2010-03-27       Impact factor: 3.921

4.  Truncal impairment after stroke: clinical correlates, outcome and impact on ambulatory and functional outcomes after rehabilitation.

Authors:  Keng He Kong; Rathi Ratha Krishnan
Journal:  Singapore Med J       Date:  2019-12-02       Impact factor: 1.858

5.  A Trunk Support System to Identify Posture Control Mechanisms in Populations Lacking Independent Sitting.

Authors:  Adam D Goodworth; Yen-Hsun Wu; Duffy Felmlee; Ellis Dunklebarger; Sandra Saavedra
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-03-24       Impact factor: 3.802

6.  The relationship between initial trunk performances and functional prognosis in patients with stroke.

Authors:  Tha Joo Kim; Kyung Mook Seo; Don-Kyu Kim; Si Hyun Kang
Journal:  Ann Rehabil Med       Date:  2015-02-28

7.  Trunk Impairment as a Predictor of Activities of Daily Living in Acute Stroke.

Authors:  Masahiro Ishiwatari; Kaoru Honaga; Akira Tanuma; Tomokazu Takakura; Kozo Hatori; Akihiro Kurosu; Toshiyuki Fujiwara
Journal:  Front Neurol       Date:  2021-06-17       Impact factor: 4.003

8.  The sitting-unsupported balance score as an early predictor of functional prognosis in stroke patients: a pilot study.

Authors:  Hyun-Mi Oh; Sun Im; Yeong A Ko; Sae Byuk Ko; Geun-Young Park
Journal:  Ann Rehabil Med       Date:  2013-04-30

9.  Does the addition of virtual reality training to a standard program of inpatient rehabilitation improve sitting balance ability and function after stroke? Protocol for a single-blind randomized controlled trial.

Authors:  L Sheehy; A Taillon-Hobson; H Sveistrup; M Bilodeau; D Fergusson; D Levac; H Finestone
Journal:  BMC Neurol       Date:  2016-03-31       Impact factor: 2.474

10.  Correlations among trunk impairment, functional performance, and muscle activity during forward reaching tasks in patients with chronic stroke.

Authors:  Jung-Hyun Kim; Suk-Min Lee; Seo-Hyun Jeon
Journal:  J Phys Ther Sci       Date:  2015-09-30
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