@article{ref1,
title="One-leg standing time of the affected side moderately predicts for postdischarge falls in community stroke patients",
journal="Journal of stroke and cerebrovascular diseases",
year="2016",
author="Yoshimoto, Yoshinobu and Oyama, Yukitsuna and Tanaka, Mamoru and Sakamoto, Asuka",
volume="25",
number="8",
pages="1907-1913",
abstract="BACKGROUND: The purpose of the present study was to investigate the predictive accuracy of one-leg standing time at hospital discharge on falls in stroke patients. <br><br>METHODS: This was a retrospective cohort study. Participants included stroke patients (n = 65) who could walk when discharged from inpatient rehabilitation ward. To investigate the relationship between one-leg standing time and falls, logistic analysis was utilized with a criterion variable including the presence or absence of falls after 1-year hospital discharge as well as explanatory variables including Brunnstrom stage, knee extension strength on the affected side, Barthel Index, 10-m walking speed, and one-leg standing time on both sides. The accuracy of prediction by one-leg standing time was measured by the area under the curve of the receiver operating characteristic curve. <br><br>RESULTS: Among the 65 patients, 38 (58.5%) experienced a fall 1 year after discharge. One-leg standing time of the affected side was not significantly associated with the falls (odds ratio:.89; 95% confidence interval:.79-1.01). When the fall incidents were assessed by area under the curve of the receiver operating characteristic curve, one-leg standing time of the affected side was observed to have increased marginally to.93 (95% confidence interval:.87-.99) as compared to the traditional prediction mode area under the curve (area under the curve.88; 95% confidence interval:.81-.97). <br><br>CONCLUSIONS: One-leg standing time of the affected side may be considered as a moderately effective and simple assessment method for predicting postdischarge falls in a clinical setting.<br><br>Copyright © 2016 National Stroke Association. Published by Elsevier Inc. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="1052-3057",
doi="10.1016/j.jstrokecerebrovasdis.2016.03.032",
url="http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2016.03.032"
}