Analysis of relevant factors for fall risk in stroke patients
10.3969/j.issn.1006-9771.2024.07.009
- VernacularTitle:脑卒中患者跌倒风险的相关因素研究
- Author:
Linru DUAN
1
;
Jiejiao ZHENG
;
Xi CHEN
;
Yan LI
Author Information
1. 复旦大学附属华东医院,上海市 200040
- Keywords:
stroke;
fall;
International Classification of Functioning,Disability and Health;
World Health Organization Disability Assessment Schedule;
activity and participation;
motor function;
discriminant analysis
- From:
Chinese Journal of Rehabilitation Theory and Practice
2024;30(7):811-817
- CountryChina
- Language:Chinese
-
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,includ-ing gender,age,height,weight,stroke type,course of disease,WHO Disability Assessment Schedule 2.0(WHO-DAS 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 dis-criminant 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,respective-ly.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 Mo-CA were significantly differenct among stroke patients with different fall risk levels(F>2.277,P<0.05).Dis-criminant analysis showed that patients with different fall risk levels had different functional parameter equa-tions,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 lev-el of falls by establishing a discriminant function through functional indicators.
