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Prediction of Post-stroke Falls by Quantitative Assessment of Balance

OBJECTIVE: To evaluate characteristics of the postural instability in patients with stroke and to present a prediction model of post-stroke falls. METHODS: Patients with a first-ever stroke who had been evaluated by the Balance Master (BM) at post-stroke 3 months (±1 month) between August 2011 and D...

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Autores principales: Lee, Hyun Haeng, Jung, Se Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Rehabilitation Medicine 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532338/
https://www.ncbi.nlm.nih.gov/pubmed/28758070
http://dx.doi.org/10.5535/arm.2017.41.3.339
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author Lee, Hyun Haeng
Jung, Se Hee
author_facet Lee, Hyun Haeng
Jung, Se Hee
author_sort Lee, Hyun Haeng
collection PubMed
description OBJECTIVE: To evaluate characteristics of the postural instability in patients with stroke and to present a prediction model of post-stroke falls. METHODS: Patients with a first-ever stroke who had been evaluated by the Balance Master (BM) at post-stroke 3 months (±1 month) between August 2011 and December 2015 were enrolled. Parameters for the postural instability, such as the weight bearing asymmetry (WBA) and postural sway velocity (PSV), were obtained. The fall events in daily lives were assessed via structured telephone interview with a fall related questionnaire. RESULTS: A total of 71 patients (45 men; 45 with ischemic stroke) were enrolled in this study. All subjects underwent BM evaluation at 3.03±0.40 months after stroke. The mean WBA was 17.18%±13.10% and mean PSV (measured as °/s) were noted as 0.66±0.37 (eyes-open on firm surface), 0.89±0.75 (eyes-closed on firm surface), 1.45±1.09 (eyes-open on soft surface), and 3.10±1.76 (eyes-closed on soft surface). A prediction model of post-stroke falls was drawn by multiple logistic regression analysis as follows: Risk of post-stroke falls = -2.848 + 1.878 x (PSV(ECSS)) + 0.154 x (age=1 if age≥65; age=0 if age<65). CONCLUSION: The weight bearing asymmetry and postural sway were significantly increased in patients with stroke. Older age and impaired postural control increased the risk of post-stroke falls.
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spelling pubmed-55323382017-07-28 Prediction of Post-stroke Falls by Quantitative Assessment of Balance Lee, Hyun Haeng Jung, Se Hee Ann Rehabil Med Original Article OBJECTIVE: To evaluate characteristics of the postural instability in patients with stroke and to present a prediction model of post-stroke falls. METHODS: Patients with a first-ever stroke who had been evaluated by the Balance Master (BM) at post-stroke 3 months (±1 month) between August 2011 and December 2015 were enrolled. Parameters for the postural instability, such as the weight bearing asymmetry (WBA) and postural sway velocity (PSV), were obtained. The fall events in daily lives were assessed via structured telephone interview with a fall related questionnaire. RESULTS: A total of 71 patients (45 men; 45 with ischemic stroke) were enrolled in this study. All subjects underwent BM evaluation at 3.03±0.40 months after stroke. The mean WBA was 17.18%±13.10% and mean PSV (measured as °/s) were noted as 0.66±0.37 (eyes-open on firm surface), 0.89±0.75 (eyes-closed on firm surface), 1.45±1.09 (eyes-open on soft surface), and 3.10±1.76 (eyes-closed on soft surface). A prediction model of post-stroke falls was drawn by multiple logistic regression analysis as follows: Risk of post-stroke falls = -2.848 + 1.878 x (PSV(ECSS)) + 0.154 x (age=1 if age≥65; age=0 if age<65). CONCLUSION: The weight bearing asymmetry and postural sway were significantly increased in patients with stroke. Older age and impaired postural control increased the risk of post-stroke falls. Korean Academy of Rehabilitation Medicine 2017-06 2017-06-29 /pmc/articles/PMC5532338/ /pubmed/28758070 http://dx.doi.org/10.5535/arm.2017.41.3.339 Text en Copyright © 2017 by Korean Academy of Rehabilitation Medicine http://creativecommons.org/licenses/by-nc/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Lee, Hyun Haeng
Jung, Se Hee
Prediction of Post-stroke Falls by Quantitative Assessment of Balance
title Prediction of Post-stroke Falls by Quantitative Assessment of Balance
title_full Prediction of Post-stroke Falls by Quantitative Assessment of Balance
title_fullStr Prediction of Post-stroke Falls by Quantitative Assessment of Balance
title_full_unstemmed Prediction of Post-stroke Falls by Quantitative Assessment of Balance
title_short Prediction of Post-stroke Falls by Quantitative Assessment of Balance
title_sort prediction of post-stroke falls by quantitative assessment of balance
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532338/
https://www.ncbi.nlm.nih.gov/pubmed/28758070
http://dx.doi.org/10.5535/arm.2017.41.3.339
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