Article

OBJECTIVE: To investigate the ability of the Timed Up & Go test to identify
patients with Parkinson's disease at risk for a fall. DESIGN: Cross-sectional
cohort study. SETTING: Sixteen participating National Parkinson's Foundation
Centers of Excellence. PARTICIPANTS: A query yielded a total of 2985 records
(1828 men and 1157 women). From these, 884 were excluded because of a lack of
crucial information (age, diagnosis, presence of deep brain stimulation, disease
duration, inability of performing the Timed Up & Go test without assistance) at
the time of testing, leaving 2097 patients included in the analysis.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The primary outcome measure
for this study was falls. The chief independent variable was the Timed Up & Go
test. RESULTS: The initial model examined the prediction of falls from the Timed
Up & Go test, adjusting for all study covariates. The estimated models in the
imputed data sets represented a significant improvement above chance (chi(2)
range [df=17], 531.29-542.39, P<.001), suggesting that 74% of participants were
accurately classified as a faller or nonfaller. The secondary model in which the
question of whether the effect of Timed Up & Go test was invariant across disease
severity demonstrated 75% of participants were accurately classified as a faller
or nonfaller. Additional analysis revealed a proposed cut score of 11.5 seconds
for discrimination of those who did or did not fall. CONCLUSIONS: The findings
suggest that the Timed Up & Go test may be an accurate assessment tool to
identify those at risk for falls.
CI - Copyright (c) 2013 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS