Abstract
Purpose
Transient ischemic attack (TIA) and minor stroke had a high recurrence rate, resulting in potential neurological impairment. Only a few previous studies focused on gait and balance disorder in TIA and minor stroke. This study aimed to explore the relationship between gait and balance disorder and TIA/minor stroke.
Patients and Methods
Eighty-two patients with TIA/minor stroke and fifty-two healthy control participants were recruited. The gait and balance function of the two groups was tested with six measurements (Four Square Step, Tandem, Functional Reach, Gait and Pivot Turn, Timed “Up and Go”, and Single Leg Balance tests). The associations between these measures and TIA/minor stroke were determined through linear and logistic regression analyses.
Results
There were no significant group differences in age, gender, body mass index, vision, and cognitive function. People with TIA/minor stroke had poorer performance in all six gait and balance measures (all p<0.05). Logistic regression analysis showed TIA/minor stroke was strongly associated with gait and balance disorder (Four Square Step Test [OR, 24.07; 95% CI 5.90–98.13; p<0.001], Tandem Test [OR, 5.50; 95% CI 1.64–18.40; p=0.006], Functional Reach Test [OR, 4.25; 95% CI 1.04–17.33; p=0.044], Gait and Pivot Turn Test [OR, 3.78; 95% CI 1.22–11.31; p=0.021], Timed“Up and Go”Test [OR, 15.79; 95% CI 2.32–107.48; p=0.005], and Single Leg Balance Test [OR, 8.96; 95% CI 2.34–34.01; p=0.001]). TIA/minor stroke patients with older age, cognitive dysfunction, high K-CRP level, and severe atherosclerosis in lower limbs were more likely to have gait and balance disorder.
Conclusion
Our findings highlight the significant relationship between gait and balance disorder and TIA/minor stroke. It seems that people with TIA/minor stroke had a higher possibility to get gait and balance disorder. Gait and balance disorder following a minor stroke or TIA may be attributed to cognitive function in these patients.
Keywords: TIA, minor stroke, mobility function, intervention, cognition
Introduction
TIA and minor stroke are two of the most common cerebrovascular events with mild or transient symptoms. According to data from Chinese National Stroke Registry (CNSR), patients suffering from TIA and minor stroke accounted for 38% of inpatients with acute ischemic stroke.1 The majority of non-disabling ischemic cerebrovascular events were TIA/minor stroke. These patients had a relatively good prognosis compared to those with acute major stroke, while the recurrence rate of stroke reached 17%-20% within 90 days in TIA/minor stroke.2
After the onset of TIA/minor stroke, cerebral hemisphere cortex excitability has been shown to change on the lesion side.3 Increasing evidence has confirmed that patients with TIA/minor stroke experience persistent cognitive impairment, confusion, and fatigue. However, few studies in TIA/minor stroke focus on gait and balance disorder, despite the fact that it may interfere with daily activities and reduce quality of life. Gait and balance disorder is the most important determinant of independent living in the elderly, which can result in falling, fracture, and consequent disability, even death.4 It may occur before or concomitantly with the disease but is easily overlooked in milder diseases. Therefore, this study tested the hypothesis that gait and balance function is decreased in TIA/minor stroke patients compared to the healthy controls, even though the patients had no previous walking problems or decreased muscle strength.
Patients and Methods
Study Design
We designed an observational study. This study invited TIA/minor stroke patients from inpatient ward at Beijing Tiantan Hospital from November 2018 to October 2019. All gait and balance tests were performed by trained researchers blinded to participants within 2 weeks of the onset of minor stroke or the last attack of TIA. The order of testing was consistent for each participant and performed only once. The study was approved by the Ethics Committees of Beijing Tiantan Hospital and was performed in accordance with the guidelines of the Helsinki Declaration. Written informed consent was obtained from all participants.
Participants Selection
Inclusion criteria were: (1) age ≥ 45 years; (2) diagnosis of acute TIA or minor stroke by a professional neurologist; (3) no reported falls in the year before TIA/minor stroke; and (4) ability to sign informed consent.
Exclusion criteria were: (1) current or past history of bone or joint diseases, sequelae of stroke, Parkinson’s disease, postural hypotension, and other diseases that can affect gait or balance function; (2) taking medication that includes drugs known to affect gait balance, such as dopaminergic, antiepileptic drugs, etc; and (3) diagnosis of mental illness or depression.
A group of participants without TIA/minor stroke but meeting other inclusion/exclusion criteria were also recruited as controls from the medical examination clinic at the same time. TIA was defined as a transient episode of neurological dysfunction caused by focal brain, spinal cord, or retinal ischemia, without acute infarction or tissue injury on magnetic resonance imaging (DWI).2 Acute minor stroke was defined by a score of 3 or less on the National Institutes of Health Stroke Scale (NIHSS) and could not include muscle strength score.5
Data Sources and Measurement
Demographic and Clinical Characteristics
In each assessment, participants were interviewed by questionnaires that ascertained age, sex, height, weight (calculated BMI), years of education, medications, and health conditions. Clinical characteristics were recorded including vision (superior and inferior vision), ABCD2 score/NIHSS score, localization signs (anterior or posterior circulation), and localization of MRI lesion (lobe, paraventricular, basal ganglia, thalamus, brainstem, cerebellum).
Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MOCA): tests of cognitive function.
Hospital Anxiety and Depression Scale (HADS): a 14-item self-report questionnaire for emotional changes in daily life and behavior in the past month.6
Five Times Sit-to-Stand Test (FTSST): a test assessing lower limb muscle strength.7
Gait and Balance Measures
Timed“Up and Go”Test (TUG): the time required to walk 3 meters forward and back, a test of gait and dynamic balance.8
Four Square Step Test (FSST): the time required to step clockwise in four directions and then step back anticlockwise, a test of gait and dynamic balance ability.9
Functional Reach Test (FRT): the maximum distance of distal forearm extension of both upper limbs when both lower limbs are fixed, a static balance test.10
Gait and Pivot Turn (GPT): the time required to turn around quickly after hearing instructions, derived from the Functional Gait Assessment scale, a test of dynamic balance ability.11
Single Leg Balance Test (SLBT): the amount of time one is able to stand balanced on one leg, a static balance test.12
Tandem Test: the amount of time one is able to stand in a line with both feet and keep balance, a static balance test derived from the Berg scale.13
These six standardized, objective, and validated tests were used to assess mobility function in all participants, and include both quantitative data (TUG, FSST, FRT, and GPT) and qualitative data (SLBT, Tandem). The presence of gait and balance disorder was defined as: scoring 1 standard deviation below (or above) the mean of the control group for TUG, FSST, GPT, and FRT, or scores less than 4 for SLBT and Tandem.14
Sample Size
The sample size was not predetermined for this pilot study.
Statistical Analysis
Continuous data are reported as mean ± standard deviation (SD) for normally distributed data, median (interquartile range) for non-normally distributed data, and categorical data are reported as numbers and percentages (%). All analyses were undertaken using SPSS version 22.0 (IBM Corporation). Baseline differences in characteristics between the groups were analyzed using T tests, Wilcoxon signed-rank tests, and χ2 tests. Between-group differences in the frequency of gait and balance disorders between groups was estimated with χ2 and logistic regression tests. Spearman correlation and Kendall’s tau-b correlation analysis were used to assess relationships between selected characteristics and gait and balance measurements in TIA/minor stroke patients. Multivariate regression analysis was used to further determine associated factors of gait and balance function in TIA/minor stroke patients. P values ≤0.05 indicated statistical significance.
Results
According to the inclusion/exclusion criteria, 82 participants with TIA/minor stroke out of the total 256 screened were eligible and agreed to participate (16 TIA and 66 minor stroke), 52 participants out of 66 screened were included in the control group. The median time from symptom onset to gait and balance function assessment was 13 days.
Compared to controls, patients with TIA/minor stroke had a higher number of drinking and, smoking, and tend to use ≥4 kinds of medications. Other basic characteristics such as age, gender, years of education, medical history of hypertension and diabetes, vision, MMSE and MOCA score, HADS score, and FTSST showed no significant differences between groups (Table 1). For minor stroke patients, the median NIHSS score at presentation was 1 (0–2). As high as 63.4% of the infarction lesions were located in the anterior circulation, with basal ganglia as the most (23.2%), followed by frontal lobe (12.5%) and paraventricular (8.5%). For TIA patients, the median ABCD2 score was 4.5 (2.5–5.0).
Table 1.
Demographic and Clinical Characteristics of Participants
| TIA/Minor Stroke (n=82) | Controls (n=52) | P value | |
|---|---|---|---|
| Age(years) | 62.0 (55.8–67.3) | 61.0 (56.0–66.5) | 0.515 |
| Female (% yes) | 21(25.6%) | 19(36.5%) | 0.178 |
| BMI(kg/m2) | 25.2 (22.8–27.7) | 24.0 (22.4–26.2) | 0.092 |
| Education (years) | 9 (9–12) | 12 (9–15) | 0.182 |
| Smoking (% yes) | 48(58.5%) | 17(32.7%) | 0.004 |
| Drinking (% yes) | 41(50.0%) | 11(21.2%) | 0.001 |
| Hypertension (% yes) | 54(65.9%) | 27(51.9%) | 0.108 |
| Diabetes (% yes) | 30(36.6%) | 14(26.9%) | 0.246 |
| Combined disease ≥ 3 kinds (% yes) | 23(28.0%) | 19(36.5%) | 0.302 |
| Medication use≥4 kinds (% yes) | 18(22.0%) | 19(38.8%) | 0.038 |
| Psychotropic drugs use (% yes) | 4(4.9%) | 1(1.9%) | 0.379 |
| Superior vision | 0.6(0.5–0.8) | 0.6(0.5–0.8) | 0.954 |
| Inferior vision | 0.5(0.4–0.6) | 0.6(0.4–0.8) | 0.501 |
| MMSE (score) | 28.0(27.0–30.0) | 28.0(27.0–29.0) | 0.362 |
| MoCA (score) | 23.5(19.5–26.0) | 23(20.0–24.5) | 0.289 |
| HADS (score) | 4.0(3.0–7.0) | 4.5(2.0–7.5) | 0.858 |
| FTSST(s) | 13.0(11.5–14.4) | 13.9(12.0–15.8) | 0.628 |
Notes: Values are presented as median (IQR) or percentages. Percentages are based on total number of individuals for each group.
Abbreviations: MMSE, Mini-Mental State Examination; MoCA, Montreal Cognitive Assessment; HADS, Montreal Cognitive Assessment; FTSST, Five Times Sit-to-Stand Test.
Gait and Balance Measurements Outcomes
Patients with TIA/minor stroke had significantly poorer performance on all measures of gait and balance function (Table 2, Figure 1–2). After defining gait and balance disorder with the above measurements, proportions of patients with the disorder remained higher in TIA/minor stroke group compared to controls. When gait and balance disorder was defined according to the FSST, the difference between groups was the largest (64.2% vs 7.7%, p=0.011). Similar results were obtained when the disorder was defined based on the other measurements (TUG, 30.5% vs 11.5%; FRT, 25.9% vs 9.6%; GPT, 42.7% vs 15.7%; SLBT, 46.3% vs 13.5%; Tandem, 40.2% vs 17.%; respectively, all p<0.05). In multivariate-adjusted logistic regression, TIA/minor stroke was independently associated with gait and balance disorder; the association remained after adjusting the relevant factors with ORs ranging from 4.25 to 24.07 (Table 3, Figure 3).
Table 2.
Results of Six Gait and Balance Measurements in Two Groups
| TIA/Minor Stroke (n=82) | Controls (n=52) | p value | |
|---|---|---|---|
| TUG (s)a | 11.7 ± 2.0 | 10.5 ± 1.9 | 0.001 |
| FSST (s)a | 12.7 ± 2.8 | 9.4 ± 2.3 | <0.001 |
| GPT (s)a | 2.6 ± 0.5 | 2.2 ± 0.6 | <0.001 |
| FRT (cm)b | 27.8 ± 6.1 | 32.2 ± 6.5 | <0.001 |
| SLBT (Score)b | <0.001 | ||
| 1 | 10 (12.2%) | 0 (0.0%) | |
| 2 | 8 (9.8%) | 0 (0.0%) | |
| 3 | 20 (24.4%) | 7 (13.5%) | |
| 4 | 44 (53.7%) | 45 (86.5%) | |
| Tandem (Score)b | 0.005 | ||
| 1 | 0 (0.0%) | 0 (0.0%) | |
| 2 | 2 (2.4%) | 0 (0.0%) | |
| 3 | 31 (37.8%) | 9 (17.3%) | |
| 4 | 49 (59.8%) | 43 (82.7%) |
Notes: aHigher number means worse performance; bhigher score means better performance.
Abbreviations: TUG, Timed “Up and Go” Test; FSST, Four Square Step Test; FRT, Functional Reach Test; GPT, gait and pivot turn; SLBT, Single Leg Balance Test.
Figure 1.
Boxplot (A–D) showed the distribution of the gait and balance measures for the four continuous variables. TUG, Timed “Up and Go” Test; FSST, Four Square Step Test; GPT, gait and pivot turn; FRT, Functional Reach Test.
Figure 2.
Percentage bar chart (A) and (B) showed the score distribution of the gait and balance measures for the two categorical variables. SLBT, Single Leg Balance Test.
Table 3.
Effects of TIA/Minor Stroke on Gait and Balance Disorder
| TIA/Minor Stroke | Controls | Crude | Adjusted | |||
|---|---|---|---|---|---|---|
| OR(95% CI) | p value | OR(95% CI) | p value | |||
| TUG (s) | 25 (30.5%) | 6 (11.5%) | 3.36 (1.27–8.89) | 0.014 | 15.79 (2.32–107.48) | 0.005 |
| FSST (s) | 52 (64.2%) | 4 (7.7%) | 21.52 (7.05–65.72) | <0.001 | 24.07 (5.90–98.13) | <0.001 |
| GPT (s) | 35 (42.7%) | 8 (15.7%) | 4.00 (1.67–9.58) | 0.002 | 3.78 (1.22–11.31) | 0.021 |
| FRT (cm) | 21 (25.9%) | 5 (9.6%) | 3.29 (1.15–9.38) | 0.026 | 4.25 (1.04–17.33) | 0.044 |
| SLBT (score) | 38 (46.3%) | 7 (13.5%) | 9.02 (2.84–28.70) | <0.001 | 8.96 (2.34–34.01) | 0.001 |
| Tandem (score) | 33 (40.2%) | 9 (17.3%) | 3.22 (1.39–7.48) | 0.007 | 5.50 (1.64–18.40) | 0.006 |
Notes: The disorder is defined as: 1 standard deviation below (or above) the mean of the control group (TUG, FSST, GPT, FRT) or scores less than 4 (SLBT, Tandem). P value adjusted for: age, gender, BMI, smoking, drinking, combined medication ≥4 kinds, MMSE, MoCA, FTSST.
Figure 3.
Adjusted odds ratios of presenting TIA/minor stroke (independent variable) on gait and balance dysfunction (dependent variable).
Risk Factors on Gait and Balance in TIA/Minor Stroke
We next assessed the relationship between each gait and balance measurement and selected demographic and clinical characteristics in TIA/minor stroke patients. Age, sex, cognitive function (scores on MMSE and MOCA), use ≥4 medications, presence of ≥3 combined diseases, vision, lower limb strength (FTSST), atherosclerosis in lower limbs, and K-CRP were all correlated with one or more gait and balance measurements. Among these variables, age (age-TUG, r=0.490, p<0.001; age-FRT, r=−0.380, p<0.001; age-SLBT, r=−0.440, p<0.001; age-Tandem, r=0.019, p=0.019) and MMSE (MMSE-TUG, r=−0.354, p=0.002; MMSE-GPT, r=−0.239, p=0.039; MMSE-SLBT, r=0.218, p=0.023; MMSE-Tandem, r=0.199, p=0.049) had the most significant correlation coefficients with 4 pairs, followed by FTSST and inferior vision (Table 4). Location of the MRI lesion, BMI, HADS, vascular risk factors (smoking, drinking, hypertension, diabetes), and levels of other laboratory indices (leucocyte, hemoglobin, D-dimer, glycated hemoglobin, low-density lipoprotein, high-density lipoprotein, very low-density lipoprotein, homocysteine) were not statistically correlated with gait and balance measurements (shown in supplemental Tables S1-S4). As for the six gait and balance measurements, the significant correlation was most prevalent between the Tandem test and corresponding variables were the most, followed by the SLBT, and the TUG test. We chose the Tandem and TUG test, one for categorical variables and the other for continuous variables, for further multivariate regression analysis.
Table 4.
Correlation Analysis Between Clinical Characteristics and Gait and Balance Function in TIA/Minor Stroke
| Tandem | TUG | FSST | FRT | GPT | SLBT | ||
|---|---|---|---|---|---|---|---|
| Age (years) | r | −0.258 | 0.490 | 0.138 | −0.380 | 0.154 | −0.440 |
| p | 0.019 | <0.001 | 0.221 | <0.001 | 0.168 | <0.001 | |
| Female | r | −0.205 | 0.127 | −0.076 | −0.116 | 0.009 | −0.261 |
| p | 0.063 | 0.164 | 0.408 | 0.224 | 0.920 | 0.012 | |
| Combined disease ≥3 kinds | r | −0.261 | −0.103 | 0.013 | 0.121 | 0.156 | 0.165 |
| p | 0.018 | 0.258 | 0.890 | 0.205 | 0.088 | 0.112 | |
| Medication use ≥4 kinds | r | −0.229 | −0.173 | −0.052 | 0.055 | 0.097 | 0.096 |
| p | 0.037 | 0.058 | 0.574 | 0.563 | 0.292 | 0.356 | |
| Superior vision | r | 0.261 | −0.225 | −0.150 | 0.090 | 0.021 | 0.268 |
| p | 0.022 | 0.049 | 0.196 | 0.439 | 0.855 | 0.018 | |
| Inferior vision | r | 0.370 | −.0215 | −0.160 | 0.147 | −0.002 | 0.237 |
| p | 0.001 | 0.061 | 0.167 | 0.206 | 0.987 | 0.038 | |
| MMSE (score) | r | 0.199 | −0.354 | −0.169 | 0.211 | −0.239 | 0.218 |
| p | 0.049 | 0.002 | 0.147 | 0.069 | 0.039 | 0.023 | |
| MoCA (score) | r | 0.078 | −0.264 | −0.245 | 0.058 | 0.018 | 0.115 |
| p | 0.447 | 0.029 | 0.044 | 0.638 | 0.882 | 0.239 | |
| FTSST(s) | r | −0.095 | 0.580 | 0.461 | −0.207 | 0.259 | −0.127 |
| p | 0.293 | <0.001 | <0.001 | 0.064 | 0.019 | 0.140 | |
| Intravenous thrombolysis | r | −0.245 | −0.019 | 0.029 | −0.183 | −0.214 | 0.357 |
| p | 0.028 | 0.867 | 0.800 | 0.106 | 0.057 | 0.001 | |
| K-CRP (mg/L) | r | −0.212 | 0.038 | 0.401 | −0.168 | 0.045 | −0.061 |
| p | 0.222 | 0.830 | 0.017 | 0.335 | 0.797 | 0.728 | |
| Atherosclerosis in lower limbs | r | −0.128 | −0.098 | −0.031 | −0.251 | 0.048 | −0.133 |
| p | 0.298 | 0.428 | 0.802 | 0.041 | 0.697 | 0.278 | |
Notes: Only variables with statistically significance were shown; boldfaced p values indicate significant findings (p < 0.05); atherosclerosis in lower limbs was categorized as: Normal, Stenosis, Occlusion.
For TIA/minor stroke patients, age and K-CRP were independently associated with Tandem score. Statistically, patients with severe lower limb stenosis were 0.0002 times more likely to have a better balance performance than those without stenosis (95% CI, 0.00, 0.97; p=0.049), and 0.001 times more likely than those with mild to moderate stenosis (OR, 0.0001; 95% CI, 0.00, 0.47; p=0.032). In the linear regression of the TUG test, TUG test time dropped by 0.57 seconds for each point added to MMSE score (95% CI: −0.73, −0.06; p=0.023) (Table 5).
Table 5.
Multivariate-Adjusted Odds Ratios and 95% Confidence Intervals of Tandem and TUG Test in TIA/Minor Stroke
| Tandema | TUGb | |||
|---|---|---|---|---|
| OR (95% CI) | p | β (95% CI) | p | |
| Age(years) | 0.63 (0.41–0.87) | 0.041 | 0.04 (−0.07–0.14) | 0.477 |
| Female | 7.60 (0.51–269.62) | 0.266 | 0.03 (−2.04–2.09) | 0.979 |
| Medication use≥4 kinds | 0.86 (0.04–16.96) | 0.921 | 1.77 (−0.19–3.73) | 0.074 |
| Inferior vision | 10.30 (0.01–3333.03) | 0.524 | −1.33 (−4.64–1.99) | 0.409 |
| FTSST (s) | 3.01 (0.98–9.22) | 0.054 | 0.31 (−0.04–0.65) | 0.078 |
| MMSE Score | 0.50 (0.20–1.23) | 0.131 | −0.57 (−0.73–-0.06) | 0.023 |
| K-CRP (mg/L) | 0.54 (0.30–0.89) | 0.046 | −0.07 (−0.32–0.18) | 0.575 |
| Intravenous thrombolysis | 0.23 (0.05–1.03) | 0.055 | 0.08(−1.33–2.22) | 0.605 |
| Atherosclerosis in lower limbs | −0.62 (−1.90–0.65) | 0.078 | ||
| Normal–Stenosis | 0.57 (0.04–8.86) | 0.684 | ||
| Normals–Occlusion | 0.0002 (0.00–0.97) | 0.049 | ||
| Stenosis–Occlusion | 0.0001 (0.00–0.47) | 0.032 | ||
Notes: aOrdinal regression was used in Tandem test; blinear regression was used in TUG test. P value adjusted for: age, female, medication use≥4 kinds, Inferior vision, FTSST, MMSE score, K-CRP, intravenous thrombolysis, atherosclerosis in lower limbs.
Discussion
In our study, we found that patients with TIA/minor stroke experienced gait and balance disorder after the disease at a higher rate than controls without TIA/minor stroke. This disorder may be attributed to cognitive impairment, aging, and atherosclerotic processes. To the best of our knowledge, this is the first pilot study to demonstrate the relationship between TIA/minor stroke and gait and balance function in China.
Clinical managements after TIA/minor stroke were focused on stroke prevention; however, previous studies have suggested that patients may experience ongoing cortical dysfunction. Halevi found that TIA patients have cognitive impairment within 24 h of onset.15 Moran reported that TIA/minor stroke patients may experience residual impairments including fatigue, anxiety, depression, post-traumatic stress disorder (PTSD), and cognitive impairment for which they are not routinely offered treatment.16 Therefore, in our study, because gait and balance are also related to proper functioning of higher cerebral cortical structures, we further demonstrated a significant relationship between gait and balance function and TIA/minor stroke. In previous studies, Israelsson studied 76 patients with TIA and found 16% of them showed observed disturbance in the gait analysis.17 Batchelor found that people with TIA/minor stroke had worse performance on mobility and cognition tests.18 But their sample may have represented those with relatively high functional status given that their inclusion criteria did not include severe restrictions on muscle strength condition. In our study, participants with decreased muscle strength were excluded, and there was no significant group difference on the lower limb muscle strength test (FTSST). We believe that the sample of our study is more representative and thus the conclusion is more convincing.
In order to find rational explanations for the result, we analyzed potential causative factors and raised several possibilities. Firstly, in our study, we found that the cognitive function was significantly related to gait and balance disorder. The patients performed worse especially under more cognitively challenging conditions (FSST, TUG). The balance reflex is achieved through autonomic posture adjustment and feed-forward posture adjustment.19–21 It requires the coordination of visual, vestibular, proprioceptive and, in particular, cognitive integration capabilities.22 An observational study of elderly participants in Spain showed a significant correlation between cognition and frailty.23 During the aging process, coordination among the systems declines, and the original balance control process based on body reflexes relies more on cognitive function.24 Decreased cognitive integration function may lead to deviations in judgment of the surrounding environment. The cognitive integration function of the prefrontal cortex may not be coordinated with the executive function of the body, which leads to impaired mobility function.24,25
Secondly, our study found that patients with severe atherosclerosis in lower limbs or high K-CRP level have a higher probability of having gait and balance disorder. Gray reported that asymptomatic carotid artery stenosis is associated with impaired mobility, and the impairment increased with worsening stenosis severity.14 Atherosclerosis was also associated with microembolism and asymptomatic infarction, which have been reported to lead to decreased mobility.26 As atherosclerosis and the related active inflammation cause neurodegeneration, that may be an essential causative factor contributing to gait and balance disorder.27
In addition, chronic hypoperfusion and abnormal cerebrovascular hemodynamics in the TIA/minor stroke population lead to the loss of neurons and neurotrophic dysfunction,28–30 which destroys the neurological pathways related to motor control, and subsequently lead to abnormal walking. Israelsson also reported that TIA patients with increased white matter lesions (WML) coped worse with the most advanced balance tests (single leg stance and Tandem test).17 Moreover, decreased cerebral perfusion may be related to impaired cognitive function, which can indirectly affect gait and balance.31 Further studies including cerebral perfusion imaging and functional scanning are needed as these were not performed in our study population. Thus, it may be a combination of mechanisms, including cognitive dysfunction, atherosclerosis and related inflammation, hypoperfusion, and abnormal cerebrovascular hemodynamic that contribute to impaired mobility in TIA/minor stroke.
Motor function decreased with increasing age and vascular risk factors. Previous studies suggested that a single disease may not be significantly related to gait balance disorder, but when more than three basic diseases were combined as a factor, it was obviously related, and the more basic diseases, the greater the risk ratio.22 Navarro-Flores recently found that using more than 5 different medications on a regular basis is correlated with the fragility in older participants, which may increase the risk of falls.23 Findings by Bloch and Woolcott JC both showed that gait and balance function may be influenced by combined use of multiple drugs, especially psychotropic medication.32,33 Good control of vascular risk factors and rational prescription of medications remains important to patient health and prognosis. Clinical controlled trials have found that effective single interventions included improving the safety of the living environment, exercising and physical therapy, improving vision, and reducing medication.34,35 Studies using automated mechanical peripheral stimulation, like plantar stimulation, have been shown to improve postural instability in individuals with Parkinson's disease.36 The most effective strategy may be to intervene with multiple risk factors.22,37,38 A management strategy employing dual-task cognitive exercise training and active cerebrovascular risk factor management may improve gait and balance function and reduce the risk of falls.39
This project had important clinical implications. The immediate meaning is that clinicians can identify patients with a higher tendency to have gait and balance disorder earlier, manage intervention and rehabilitation treatment in a timely manner, and improve prognosis. Regarding stroke prevention, ABCD2 and ESSEN scales are commonly used to predict the risk of stroke and guide the selection of treatment in TIA/minor stroke patients. However, these tools mainly use baseline information, such as age, symptom, and medical history, and rarely include clinical objective indicators.40–42 Further studies may embrace the idea that gait and balance tests may be efficient clinical indicators to enrich the set of evaluation tools used for secondary prevention of stroke.
Our study may have some potential limitations. First, all participants were recruited from one hospital, which may introduce selection bias. We will try to develop further multi-center studies to better understand the mechanisms involved and to determine effective interventions. Second, we only tested the baseline gait and balance function in our study, long time follow-up tests need to be performed and compared. We will continue to focus on the patients’ stroke recurrence events to further explore the impact of gait and balance disorder on stroke recurrence. Future research should investigate mechanistic associations between TIA/minor stroke and mobility impairments, including the combination of advanced electric gait recorder and cerebral perfusion imaging. Furthermore, additional research should develop cost-effective measures to identify TIA/minor stroke patients with gait and balance impairment and improve the healthcare and rehabilitation of these patients.
Conclusion
TIA/minor stroke was independently associated with gait and balance disorder. Age, cognitive function, and atherosclerosis burden were correlated with the gait and balance function of TIA/minor stroke patients. These results suggest that TIA/minor stroke is not only a “non-disabling” disease but that there are many potential dysfunctions to be discovered. The exploration of associated mechanisms and early identification and management of risk factors may delay the progression. Although there are challenges and obstacles, gait and balance assessment strategies should be incorporated into the clinical practice of TIA/minor stroke.
Acknowledgments
This study was supported by National Science and Technology Major Project (2017ZX09304018). Authors would like to express sincere gratitude to all the participants. And thanks EditSprings for the expert linguistic services provided.
Disclosure
The authors report no conflicts of interest in this work.
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