Factors Predicting Functional Outcome in Acute Stroke Patients

DOI
  • HASEGAWA Koki
    Department of Rehabilitation, Sainokuni Higashiomiya Medical Center
  • FUJINO Yuji
    Department of Physical Therapy, Faculty of Health Science, Juntendo University
  • MATSUDA Tadamitsu
    Department of Physical Therapy, Faculty of Health Science, Juntendo University
  • FUKATA Kazuhiro
    Department of Rehabilitation, Saitama Medical University International Medical Center
  • MIKI Hiroshi
    Department of Rehabilitation, Tokyo Saiseikai Central Hospital
  • KOBAYASHI Yohei
    Department of Rehabilitation, Saitama Sekishinkai Hospital
  • SATO Hirofumi
    Department of Rehabilitation, Medical Technology Department, Saitama Citizens Medical Center

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Other Title
  • 急性期脳卒中患者の自宅退院と回復期病院転院に影響する病前生活情報ならびに初回機能評価項目の検討
  • A Multicenter Study
  • ─多施設間共同研究─

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Abstract

<p>Purpose: We investigated potential predictors of functional outcome in acute stroke patients.</p><p>Methods: This multicentric prospective cohort study evaluated NIH stroke scale (NIHSS), Brunnstrom recovery stage, Trunk control test, Revised version of the ability for basic movement scale, Scale for contraversive pushing (SCP), Scale for the assessment and rating of ataxia, Functional ambulation category (FAC), and stroke type (cerebral infarction or hemorrhage) in 447 acute stroke (294 cerebral infarction) patients at the outset of their rehabilitation and assessed whether these measures predicated functional outcome (home discharge or rehabilitation hospital discharge). Multivariable logistic regression analysis was used to evaluate outcome predictors.</p><p>Results: The identified significant factors associated with outcome were NIHSS (OR: 1.234, 95%CI 1.110–1.372, p<0.01), SCP (OR: 6.270, 95%CI 1.461–26.904, p<0.05), FAC (OR: 0.527, 95%CI 0.417–0.668, p<0.01), and stroke type (OR: 3.369, 95%CI 1.896–5.986, p<0.05), with the percentage of correct classifications was 81.6%.</p><p>Conclusion: It was suggested that evaluation data at the early mobilization is useful to predict the functional outcome.</p>

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