Chinese Journal of Rehabilitation Theory and Practice ›› 2024, Vol. 30 ›› Issue (7): 811-817.doi: 10.3969/j.issn.1006-9771.2024.07.009

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Analysis of relevant factors for fall risk in stroke patients

DUAN Linru1, ZHENG Jiejiao1(), CHEN Xi2, LI Yan3   

  1. 1. Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
    2. Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    3. Shanghai University of Sport, Shanghai 200438, China
  • Received:2024-04-07 Revised:2024-06-09 Published:2024-07-25 Online:2024-08-07
  • Contact: ZHENG Jiejiao, E-mail: zjjcss@163.com
  • Supported by:
    Shanghai Municipal Commission of Science and Technology Project(21MC1930200);Shanghai Municipal Commission of Science and Technology Project(22Y31900200);Shanghai Municipal Health Commission Project of Health Industry Clinical Research(20194Y0463)

Abstract:

Objective To explore the factors affecting the fall risks in stroke patients, and predict the level of fall risk.
Methods A retrospective analysis was conducted. A total of 64 stroke patients in Huadong Hospital from July, 2022 to January, 2024 were enrolled. The patient's demographic data, functional indicators and walking indicator, including gender, age, height, weight, stroke type, course of disease, WHO Disability Assessment Schedule 2.0 (WHODAS 2.0), simplified Fugl-Meyer Assessment (FMA), Functional Reaching Test (FRT), Multi-Directional Reach Test (MDRT), Montreal Cognitive Assessment (MoCA) and Timed Up and Go Test were recorded. Using the risk level of falls in stroke patients as the dependent variable, first, a univariate analysis was conducted, and then discriminant analysis was followed to observe the risk factors for falls in stroke patients.
Results All the included stroke patients had an average age of approximately 66 years old, more males than females, and more cerebral infarction patients than cerebral hemorrhage patients. The average course of the disease was (4.50±6.02) months. There were 19, 26 and 19 stroke patients with mild, moderate and severe fall risk levels, respectively. One-way analysis of variance showed that the scores of WHODAS 2.0, FMA, FMA-Upper Extremities (FMA-UE), FMA-Lower Extremities (FMA-LE), FRT, MDRT-Forward (MDRT-F), MDRT-Right (MDRT-R) and MoCA were significantly differenct among stroke patients with different fall risk levels (F > 2.277, P < 0.05). Discriminant analysis showed that patients with different fall risk levels had different functional parameter equations, using the retrospective method, the accuracy rates of Fisher discriminant function and Bayes discriminant function were 75% and 78.1%, and the misjudgment rates were 25% and 21.9%, respectively.
Conclusion Activity and participation ability, upper and lower extremity motor function, stability limits of the forward and right direction and cognitive function are related factors to the risk level of falls. It could predicte the risk level of falls by establishing a discriminant function through functional indicators.

Key words: stroke, fall, International Classification of Functioning, Disability and Health, World Health Organization Disability Assessment Schedule, activity and participation, motor function, discriminant analysis

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