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Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?

Introduction. We aimed to determine whether gait velocity is as useful as a balance test, a self-report measure of freezing of gait (FOG), and/or a measure of motor symptom severity for predicting falls among people with Parkinson Disease (PD). Methods. Fifty-six individuals with idiopathic PD compl...

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Autores principales: Duncan, Ryan P., Earhart, Gammon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503435/
https://www.ncbi.nlm.nih.gov/pubmed/23213622
http://dx.doi.org/10.1155/2012/923493
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author Duncan, Ryan P.
Earhart, Gammon M.
author_facet Duncan, Ryan P.
Earhart, Gammon M.
author_sort Duncan, Ryan P.
collection PubMed
description Introduction. We aimed to determine whether gait velocity is as useful as a balance test, a self-report measure of freezing of gait (FOG), and/or a measure of motor symptom severity for predicting falls among people with Parkinson Disease (PD). Methods. Fifty-six individuals with idiopathic PD completed a baseline assessment consisting of these measures: (1) MDS-UPDRS III, (2) Mini-BESTest, (3) gait velocity (forward, backward, dual task, and fast), and (4) FOGQ. Retrospective fall history was collected at baseline and six months later. Participants were considered fallers if they had two or more falls in the surveillance period. Ability of the tests to discriminate between fallers and nonfallers was determined using ROC curves followed by pairwise statistical noninferiority comparisons (P = .05) of the area under the ROC curve (AUC) for each test. Results. At six months, 22% (n = 21) of the sample were fallers. Fallers differed significantly from nonfallers on the MDS-UPDRS III, Mini-BESTest, backward gait velocity, and FOGQ. The Mini-BESTest had the highest AUC and was superior to all gait velocity measures at identifying fallers. Conclusion. A single measure of gait velocity, even in a challenging condition, may not be as effective as the Mini-BESTest in identifying fallers among people with PD.
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spelling pubmed-35034352012-12-04 Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease? Duncan, Ryan P. Earhart, Gammon M. Parkinsons Dis Clinical Study Introduction. We aimed to determine whether gait velocity is as useful as a balance test, a self-report measure of freezing of gait (FOG), and/or a measure of motor symptom severity for predicting falls among people with Parkinson Disease (PD). Methods. Fifty-six individuals with idiopathic PD completed a baseline assessment consisting of these measures: (1) MDS-UPDRS III, (2) Mini-BESTest, (3) gait velocity (forward, backward, dual task, and fast), and (4) FOGQ. Retrospective fall history was collected at baseline and six months later. Participants were considered fallers if they had two or more falls in the surveillance period. Ability of the tests to discriminate between fallers and nonfallers was determined using ROC curves followed by pairwise statistical noninferiority comparisons (P = .05) of the area under the ROC curve (AUC) for each test. Results. At six months, 22% (n = 21) of the sample were fallers. Fallers differed significantly from nonfallers on the MDS-UPDRS III, Mini-BESTest, backward gait velocity, and FOGQ. The Mini-BESTest had the highest AUC and was superior to all gait velocity measures at identifying fallers. Conclusion. A single measure of gait velocity, even in a challenging condition, may not be as effective as the Mini-BESTest in identifying fallers among people with PD. Hindawi Publishing Corporation 2012 2012-10-31 /pmc/articles/PMC3503435/ /pubmed/23213622 http://dx.doi.org/10.1155/2012/923493 Text en Copyright © 2012 R. P. Duncan and G. M. Earhart. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Study
Duncan, Ryan P.
Earhart, Gammon M.
Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?
title Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?
title_full Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?
title_fullStr Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?
title_full_unstemmed Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?
title_short Should One Measure Balance or Gait to Best Predict Falls among People with Parkinson Disease?
title_sort should one measure balance or gait to best predict falls among people with parkinson disease?
topic Clinical Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3503435/
https://www.ncbi.nlm.nih.gov/pubmed/23213622
http://dx.doi.org/10.1155/2012/923493
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