An examination of the fall risk classification model in short-term intensive inpatient rehabilitation for elderly patients with Parkinson's disease

DOI Web Site Web Site 18 References
  • Taniuchi Ryoma
    Department of Rehabilitation, National Hospital Organization Hiroshima-Nishi Medical Center Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima
  • Hara Amane
    Department of Rehabilitation, National Hospital Organization Hiroshima-Nishi Medical Center
  • Morioka Shinichi
    Department of Rehabilitation, National Hospital Organization Hiroshima-Nishi Medical Center
  • Matsukawa Kayo
    Department of Rehabilitation, National Hospital Organization Hiroshima-Nishi Medical Center
  • Uenishi Yasushi
    Department of Rehabilitation, National Hospital Organization Hiroshima-Nishi Medical Center
  • Nagatani Hiroaki
    Department of Rehabilitation, National Hospital Organization Hiroshima-Nishi Medical Center
  • Makino Takako
    Department of Neurology, National Hospital Organization Hiroshima-Nishi Medical Center
  • Harada Toshihide
    Graduate School of Comprehensive Scientific Research, Prefectural University of Hiroshima

Bibliographic Information

Other Title
  • 高齢パーキンソン病患者の短期集中入院リハビリテーションにおける転倒リスク判別モデルの検討
  • コウレイ パーキンソンビョウ カンジャ ノ タンキ シュウチュウ ニュウイン リハビリテーション ニ オケル テントウ リスク ハンベツ モデル ノ ケントウ

Search this article

Abstract

<p>Aim: To examine the predictive model that classifies the fluctuation in fall risk two weeks after an evaluation at the beginning of short-term intensive inpatient rehabilitation for elderly patients with Parkinson's disease (PD).</p><p>Methods: Of the patients with PD ≥65 years old who underwent intensive rehabilitation, 17 patients (mean age: 76.5±6.1 years old) who had a fall risk detected by the Timed "Up & Go" including a cognitive task (TUG-cognitive) were enrolled in this study. The patients were divided into two groups depending on the TUG-cognitive two weeks after starting intensive rehabilitation: reduced fall risk or residual fall risk. The differences in the evaluated items between the two groups were examined, and those items found to have significant differences were used as independent variables in the logistic regression analysis with the fluctuation in fall risk after two weeks as the dependent variable.</p><p>Results: A logistic regression analysis revealed that the fast-walking speed was a factor affecting the fluctuation in fall risk. In addition, the incidence of residual fall risk was calculated from the logistic function, and the risk was determined to be high when the fast-walking speed was ≤0.84 m/sec.</p><p>Conclusions: The predictive model consisted of the TUG-cognitive and fast-walking speed at the beginning of intensive rehabilitation; it was suggested that the fluctuation in fall risk after two weeks could be classified based on these findings. Improvement of the fast-walking speed is important for reducing the fall risk in elderly patients with PD.</p>

Journal

References(18)*help

See more

Keywords

Report a problem

Back to top