To evaluate characteristics of the postural instability in patients with stroke and to present a prediction model of post-stroke falls.
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.
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 (PSVECSS) + 0.154 x (age=1 if age≥65; age=0 if age<65).
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.
Stroke is one of the major causes of permanent disability [
Various measures have been adopted to assess the post-stroke postural instability, such as the Berg Balance Scale (BBS) [
We aimed to show the characteristics of postural instability and to predict post-stroke falls by quantitative balance parameters.
Patients who were admitted for rehabilitation therapy following a first-ever stroke in the Boramae Medical Center between August 2011 and December 2015 were screened. Inclusion criteria were a patient (1) who was ≥19 years old, (2) who could stand without any aid or manual contact for at least 30 seconds, and (3) who was evaluated by the Balance Master (BM) system (NeuroCom International Inc., Clackamas, OR, USA) at post-stroke 3 months (±1 month). Exclusion criteria included a patient (1) whose muscle strength of the hip and knee extensors in the affected side was less than 3 (as Medical Research Council manual muscle testing grading), (2) with other disorders which could affect sensorimotor functions, such as Parkinson's disease, multiple sclerosis, lumbosacral radiculopathy, peripheral neuropathy, musculoskeletal problems involving the lower extremity, and visual or vestibular dysfunction, (3) whose Functional Ambulation Categories (FAC) was lower than 4, (4) with visuospatial hemineglect, anosognosia, apraxia, or aphasia disabling the relevant assessment, (5) whose Korean-Mini Mental State Examination (K-MMSE) score was lower than 27, (6) with psychiatric problems, and (7) with any history of fall within 1 year prior to stroke.
All demographic and stroke-related data were obtained, including age, sex, duration after stroke, type of stroke (ischemic or hemorrhagic), location of lesion (supratentorial or infratentorial), muscle strength of bilateral hip and knee extensors, and the presence of ataxia. Score of Fugl-Meyer Assessment (FMA) of the affected lower extremity, BBS, and Korean version of Modified Barthel Index (K-MBI) were also retrieved. All clinical evaluationas were performed on the same day as the BM test.
The BM system measured the WBA and the PSV. The BM test verifies the dynamics of postural instability by sensing loaded gravity force via the dual-force platform placed under bilateral feet. It includes a set of quantitative measurement protocols: weight-bearing squat (WBS), modified clinical test of sensory interaction on balance (mCTSIB), unilateral stance, limits of stability, rhythmic weight shift, sit to stand, tandem walk, step/quick turn, step up/over, and forward lunge. It has little inter-rater variability, and is known as valid and reliable in individuals with stroke [
Among the subdomain of the BM test, the results of WBS and mCTSIB were selected to analyze the WBA and the PSV. For WBS test, subjects were instructed to bear weight on both feet as even as possible, while standing erect with extended knees. The WBA was formulated as follows:
The mCTSIB test quantifies postural control under various sensory conditions. The support surface (firm or foam) and the visual input (eyes open or eyes closed) are selected to alter the level of somatosensory demand or visual compensation [
At 12.47±7.29 months after stroke, information about balance-related function and falls in daily lives were obtained via structured telephone interviews using a fall-related questionnaire. The questionnaire covered FAC, number of falls or near-falls within recent one month, fear of fall, mode of transfer, and type of residence. Falls were defined as events resulting in a person coming to rest accidentally or inadvertently on the ground, and near-falls were defined as situations in which a person anticipates a fall is imminent, but avoids it by a compensatory movement. Only falls or near-falls which occurred in the fully awakened state were counted. If a subject had at least one event of fall or near-fall, the subject was classified as the faller group.
This study was approved by the Institutional Review Board of Boramae Medical Center, was conducted according to the declaration of Helsinki, and followed the Good Clinical Practice guidelines.
Statistical analysis was done by the SPSS ver. 20.0 (IBM, Armonk, NY, USA). The Shapiro-Wilk normality test was performed for ensuring the normality of data distribution such as age, interval between onset of stroke and the BM evaluation, interval between onset of stroke and telephone interview, the WBA, and PSV. To compare the variables between groups (supratentorial versus infratentorial lesion and fallers versus non-fallers) for the univariable analysis, we used the Student t-test for age, interval between onset of stroke and the BM evaluation, interval between onset of stroke and telephone interview, and the WBA; Fisher exact test for sex; and Wilcoxon rank sum test for BBS, K-MBI, FMA, K-MMSE, and the PSV. To find out the predictors of post-stroke falls, the multivariable logistic regression with backward elimination was applied by using the package ‘MASS’ of R software ver. 3.3.1 (
For the prediction ability of variables for post-stroke falls, the receiver operating characteristics (ROC) curve was drawn, and the area under the curve (AUC) was calculated using the package ‘pROC’ in the R program with 2000 stratified bootstrap replicates [
A total of 231 patients with a first-ever stroke were screened. Among them, 71 patients (45 men and 26 women; 45 with ischemic stroke and 26 with hemorrhagic stroke) were included in this study (
The BM test was performed 3.03±0.40 months (range, 2.00–3.83 months) after stroke. The mean WBA was 17.18%±13.10% (range, 0.0%–52.0%). The PSVs in their respective test conditions (presented as °/s) were 0.66±0.37 (range, 0.2–2.1) of eyes-open on firm surface (PSVEOFS); 0.89±0.75 (range, 0.3–6.0) of eyes-closed on firm surface (PSVECFS); 1.45±1.09 (range, 0.5–6.0) of eyes-open on soft surface (PSVEOSS); and 3.10±1.76 (range, 1.1–6.0) of eyes-closed on soft surface (PSVECSS) (
Among subjects, 53 patients completed the telephone interview. The mean interval between the onset of stroke and telephone interview was 12.47±7.29 months (range, 3.63–29.10 months). The information of two subjects who had a second stroke before the telephone interview were excluded from the analysis. Mean age was 59.80±14.20 years, and mean value of FAC was 4.96±1.31 at the time of the telephone interview.
Twelve subjects (23.5%) reported falls within recent one month (
Although the WBA was similar between fallers and non-fallers, there were significant differences in the PSVs as follows: 0.72±0.22 (fallers), 0.59±0.34 (non-fallers), p=0.044 in PSVEOFS; 2.06±1.33 (fallers), 1.35±1.09 (non-fallers), p=0.023 in PSVEOSS; and 4.98±1.68 (fallers), 2.76±1.60 (non-fallers), p=0.002 in PSVECSS (
Multivariable logistic regression analysis was performed by backward elimination with age at the onset of stroke (≥65 or <65 years), score of the K-MBI, the PSVEOFS, the PSVEOSS, and the PSVECSS. A prediction model of post-stroke falls was drawn with age at onset and the PSVECSS (Nagelkerke R2=0.454, p=0.013) (
Few trials have aimed to predict post-stroke falls. A retrospective case-control study showed that near-falls in hospital and upper limb function at the time of discharge could predict post-stroke falls in the first 12 months following discharge to the community [
There have been very few studies which investigated the correlation between results of the quantitative balance assessment and post-stroke falls [
In this study, we demonstrated the static and dynamic characteristics of standing balance of individuals with stroke. The WBA in this study was similar to the value reported in a previous study of stroke patients [
No significant difference was observed in the static and dynamic characteristics of standing balance between patients with supratentorial stroke and those with infratentorial stroke. This may be attributed to the fact that only one patient with infratentorial stroke had clinically significant ataxia in our group.
There was no significant difference in the WBA between fallers and non-fallers, which is similar to the results of a previous study, which demonstrated no significant correlation between the WBA and the frequency of fall events [
There are several limitations of this study. The amount and intensity of the rehabilitation therapy that subjects received after the BM evaluation was not controlled. However, as the balance function tends to change little after post-stroke 3 months, the rehabilitation therapy was expected to have a limited effect on the balance function. This study included a telephone interview, which is often liable to the recall bias. To minimize the recall bias, subjects were asked fall events that had occurred only within the recent one month prior to the interview. Also, it is hard to say that the subjects represent the stroke population, since the subject could stand without any gait aid or manual contact for at least 30 seconds, and such subjects are usually classified as a mild stroke group. The relatively small number of data could have impeded our search for predictors of post-stroke falls.
In conclusion, we demonstrated the characteristics of the postural instability in patients with stroke, and suggested that advanced age and impaired postural control increase the risk of post-stroke falls. Rehabilitation therapy are suggested to focus on reducing the postural sway with visual and proprioceptive inputs deprived to prevent post-stroke falls.
This study was partially supported by the grant of National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2010-0004974). We thank Dr. Sohee Oh for her statistical advice.
Values are presented as mean±standard deviation or number.
a)The patient had infratentorial infarction.
Values are presented as mean±standard deviation or number.
Values are presented as mean±standard deviation or number.
a)Score in the lower extremity of the affected side, b)at the time of telephone interview.
*p<0.05, **p<0.01, ***p<0.001.
CI, confidence interval.
Nagelkerke R2=0.454.