Prediction of Post-stroke Falls by Quantitative Assessment of Balance.
10.5535/arm.2017.41.3.339
- Author:
Hyun Haeng LEE
1
;
Se Hee JUNG
Author Information
1. Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul, Korea.
- Publication Type:Original Article
- Keywords:
Accidental falls;
Stroke;
Prediction;
Postural balance;
Weight-bearing
- MeSH:
Accidental Falls*;
Humans;
Interviews as Topic;
Logistic Models;
Male;
Postural Balance;
Stroke;
Weight-Bearing
- From:Annals of Rehabilitation Medicine
2017;41(3):339-346
- CountryRepublic of Korea
- Language:English
-
Abstract:
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.
