Clinical analysis of risk factors for falls in home-living stroke patients using functional evaluation tools.
OBJECTIVE
To identify risk factors associated with falls in home-living stroke patients and to predict falls using patient information and functional evaluation tools.


METHODS
Cohort study.


METHODS
Community.


METHODS
We recruited 101 home-living stroke patients who had hemiparesis and could walk independently with or without supporting devices. Disease duration ranged from 1 to 22 years (mean, 6.1 y).


METHODS
Not applicable.


METHODS
The score of each item of the Stroke Impairment Assessment Set (SIAS), and the FIM instrument, sex, age, duration of disease, stroke type, affected side of the body, frequency of rehabilitation, use of sedatives, and Mini-Mental State Examination score were evaluated and the occurrence of falls was observed prospectively for 12 months.


RESULTS
Forty-five (44.6%) participants fell, 20 of whom fell repeatedly. A logistic model for predicting falls was refined until it included 4 predictors: memory score on the FIM, range of motion of the lower extremities on the SIAS, duration of disease, and affected side. The predictive value of the logistic model was 86.7%.


CONCLUSIONS
Evaluation tools were useful for predicting falls and devising preventive strategies in the high-risk group of home-living stroke patients.
Wada
Naoki
N
Division of Rehabilitation Medicine, Gunma University Hospital, Gunma, Japan. nwada@med.gunma-u.ac.jp
Sohmiya
Makoto
M
Shimizu
Toru
T
Okamoto
Koichi
K
Shirakura
Kenji
K
D000058:Accidental Falls / Q000706:statistics & numerical data*; D000203:Activities of Daily Living; D000368:Aged; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012307:Risk Factors; D020521:Stroke / Q000145:classification / Q000150:complications*; D000071939:Stroke Rehabilitation