Literature DB >> 21915587

Predicting recovery of bilateral upper extremity muscle strength after stroke.

Makoto Suzuki1, Yoshitsugu Omori, Seiichiro Sugimura, Masaaki Miyamoto, Yuko Sugimura, Hikari Kirimoto, Sumio Yamada.   

Abstract

OBJECTIVE: To investigate the recovery pattern of bilateral upper extremity muscle strength and to predict the recovery of strength early after stroke using a logarithmic regression model.
DESIGN: Longitudinal study.
SUBJECTS: Twenty-one inpatients with post-stroke hemiparesis were enrolled. The mean time after stroke event was 7.1 days (standard deviation (SD) 3.5 days).
METHODS: Bilateral elbow flexion and extension strengths were assessed separately with a hand-held dynamometer.Grip strength was also assessed with a Jamar dynamometer.These measurements were carried out on 4 occasions: baseline assessment within 2 weeks following stroke onset, and at weeks 1, 2 and 3 following baseline evaluation. Recovery off lexion and extension strengths was predicted using a logarithmic model using scores at the initial 2 evaluations.
RESULTS: The time course of recovery for bilateral upper extremities resembled a logarithmic function. Moreover, on the basis of a logarithmic regression model, baseline measures of bilateral strengths sampled from 2 time-points during recovery could be applied to predict the pattern of recovery accurately during the subacute stroke phase (R(2) = 0.74–0.95,p < 0.0001).
CONCLUSION: Upper extremity muscle strength improved significantly in a similar pattern on the sides contralateral and ipsilateral to the brain lesion. Moreover, a logarithmic regression model accurately predicted both measures.

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Mesh:

Year:  2011        PMID: 21915587     DOI: 10.2340/16501977-0877

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  5 in total

1.  Variability, frequency composition, and temporal regularity of submaximal isometric elbow flexion force in subacute stroke.

Authors:  John W Chow; Dobrivoje S Stokic
Journal:  Exp Brain Res       Date:  2016-07-01       Impact factor: 1.972

2.  Skeletal Muscle Changes in the First Three Months of Stroke Recovery: A Systematic Review.

Authors:  David Beckwée; Lotte Cuypers; Nina Lefeber; Emma De Keersmaecker; Ellen Scheys; Wout Van Hees; Stany Perkisas; Sylvie De Raedt; Eric Kerckhofs; Ivan Bautmans; Eva Swinnen
Journal:  J Rehabil Med       Date:  2022-10-04       Impact factor: 3.959

3.  Predicting recovery of cognitive function soon after stroke: differential modeling of logarithmic and linear regression.

Authors:  Makoto Suzuki; Yuko Sugimura; Sumio Yamada; Yoshitsugu Omori; Masaaki Miyamoto; Jun-ichi Yamamoto
Journal:  PLoS One       Date:  2013-01-11       Impact factor: 3.240

4.  A novel objective evaluation method for trunk function.

Authors:  Kazuaki Kinoshita; Masashi Hashimoto; Kazunari Ishida; Yuki Yoneda; Yuta Naka; Hideyuki Kitanishi; Hirotaka Oyagi; Yuichi Hoshino; Nao Shibanuma
Journal:  J Phys Ther Sci       Date:  2015-05-26

5.  Machine-learning prediction of self-care activity by grip strengths of both hands in poststroke hemiplegia.

Authors:  Makoto Suzuki; Seiichiro Sugimura; Takako Suzuki; Shotaro Sasaki; Naoto Abe; Takahide Tokito; Toyohiro Hamaguchi
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.817

  5 in total

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