
@article{ref1,
title="Risk factors associated with falls in adult patients after stroke living in the community: baseline data from a stroke cohort in Brazil",
journal="Topics in stroke rehabilitation",
year="2014",
author="Pinto, Elen Beatriz and Nascimento, Carla and Marinho, Camila and Oliveira, Ilana and Monteiro, Maiana and Castro, Mayra and Myllane-Fernandes, Paula and Ventura, Laís M. G. B. and Maso, Iara and Lopes, Antonio Alberto and Oliveira-Filho, Jamary",
volume="21",
number="3",
pages="220-227",
abstract="BACKGROUND: Individuals with stroke have a high risk of falling, and their fall predictors may differ from those of other populations. <br><br>PURPOSE: To estimate fall frequency and identify factors related to fall occurrence in a sample of patients with stroke residing in the community. <br><br>METHODS: Clinical data were collected from 150 consecutive stroke patients with independent gait, and the following scales were applied: modified Barthel Index (mBI), Timed Up & Go Test (TUG), and National Institutes of Health Stroke Scale (NIHSS). Univariate analysis was performed; variables with possible association (P <.1) were included in a logistic regression model. Receiver operating characteristic curves were used to identify the best cutoff point for TUG. <br><br>RESULTS: Falls occurred in 37% of patients. In multivariate analysis, right hemisphere injury (odds ratio [OR], 2.621; 95% CI, 1.196-5.740; P =.016), time in TUG (OR, 1.035 for every increase in 1 second; 95% CI, 1.003-1.069; P =.034), and longer time since stroke onset (OR, 1.012 for every month increase; 95% CI, 1.002-1.021; P =.015) remained predictors. When we grouped individuals according to affected cerebral hemisphere, both hemispheres had similar accuracy, but TUG cutoff point was lower in individuals with right- versus left-hemisphere lesions. <br><br>CONCLUSIONS: Patients with poor TUG performance, longer times since stroke onset, and right-hemisphere injury have particularly high fall rates, and TUG cutoff points for fall prediction vary according to cerebral hemisphere.<p /> <p>Language: en</p>",
language="en",
issn="1074-9357",
doi="10.1310/tsr2103-220",
url="http://dx.doi.org/10.1310/tsr2103-220"
}