Gait and Balance Disorder in Patients with Transient Ischemic Attack or Minor Stroke

Li, Ning; Li, Jinxin; Gao, Ting; Wang, Dandan; Du, Yang; Wang, Wenjuan

doi:10.2147/ndt.s289158

Cited by 6 publications

(9 citation statements)

References 43 publications

(58 reference statements)

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“…It is intriguing that gait is not limited to non-treatable neurodegenerative disorders. The CNS involvement experience of COVID-19 pandemic, for which a definitive pharmaceutical treatment is also lacking, corroborates this fact ( Klein et al, 2020 , Saleki et al, 2020 , Rostamtabar et al, 2021 , Rahmani et al, 2020 , Li et al, 2021 , Mohseni Afshar et al, 2022 , Saleki et al, 2021 , Saleki et al, 2022b ). Deep brain stimulation (DBS) has been established as an efficacious therapeutic approach for Parkinson's disease (PD), essential tremor (ET), and dystonia.…”

Section: Introductionmentioning

confidence: 58%

Deep brain stimulation (DBS) as a therapeutic approach in gait disorders: What does it bring to the table?

Pourahmad,

Saleki,

Esmaili

et al. 2023

IBRO Neuroscience Reports

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Section: Introductionmentioning

confidence: 58%

Deep brain stimulation (DBS) as a therapeutic approach in gait disorders: What does it bring to the table?

Pourahmad,

Saleki,

Esmaili

et al. 2023

IBRO Neuroscience Reports

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“…Compared with the ABCD2 score, our nomogram model yielded a better diagnostic performance with higher AUC value. We hypothesize that the inclusion of the finger to nose and tandem gait tests might partly account for high accuracy of our model to a certain extent since both are reportedly powerful predictors for posterior circulation ischemia and minor stroke (35,40,41). In comparison, ABCD2 score was initially generated to assess the risk of early stroke after a transient ischemic attack and incorporate signs of anterior circulation abnormal and features of medical history (61).…”

Section: Discussionmentioning

confidence: 99%

“…We searched for predictors of stroke from keynote papers (3,31,(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50). Candidate predictors were identified when the factors were consistently reported in predictive research on patients with dizziness, easily ascertained, and routine diagnostic tests for patients with stroke.…”

Section: Predictor Variablesmentioning

confidence: 99%

A Dynamic Nomogram to Predict the Risk of Stroke in Emergency Department Patients With Acute Dizziness

Cao

2022

Front. Neurol.

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ObjectiveTo develop a risk prediction tool for acute ischemic stroke (AIS) for patients presenting to the emergency department (ED) with acute dizziness/vertigo or imbalance.MethodA prospective, multicenter cohort study was designed, and adult patients presenting with dizziness/vertigo or imbalance within 14 days were consecutively enrolled from the EDs of 4 tertiary hospitals between August 10, 2020, and June 10, 2021. Stroke was diagnosed by CT or MRI performed within 14 days of symptom onset. Participants were followed-up for 30 days. The least absolute shrinkage and selection operator (LASSO) logistic regression analysis was conducted to extract predictive factors that best identified patients at high risk of stroke to establish a prediction model. Model discrimination and calibration were assessed and its prediction performance was compared with the age, blood pressure, clinical features, duration, and diabetes (ABCD2) score, nystagmus scheme, and finger to nose test.ResultsIn this study, 790 out of 2,360 patients were enrolled {median age, 60.0 years [interquartile range (IQR), 51–68 years]; 354 (44.8%) men}, with complete follow-up data available. AIS was identified in 80 patients. An online web service tool (https://neuroby.shinyapps.io/dynnomapp/) was developed for stroke risk prediction, including the variables of sex, trigger, isolated symptom, nausea, history of brief dizziness, high blood pressure, finger to nose test, and tandem gait test. The model exhibited excellent discrimination with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.889 (95% CI: 0.855–0.923), compared with the ABCD2 score, nystagmus scheme, and finger to nose test [0.712 (95% CI, 0.652–0.771), 0.602 (95% CI, 0.556–0.648), and 61.7 (95% CI, 0.568–0.666) respectively].ConclusionOur new prediction model exhibited good performance and could be useful for stroke identification in patients presenting with dizziness, vertigo, or imbalance. Further externally validation study is needed to increase the strength of our findings.

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“…Impairment of the lower limbs can occur when the afferent and efferent pathways of speci c areas are affected, and this impairment has a signi cant correlation with limitations in balance and walking ability (KIPER et al, 2020;WANG et al, 2017). Post-stroke patients demonstrate poorer performance in clinical balance tests compared to healthy older adults (LI et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Performance of Post-Stroke Patient's Balance on a Game Platform "Game Balance" and its Correlation with Functional Tests: A Cross-Sectional Study

Oliveira

Souza

Barreto

et al. 2023

Preprint

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Introduction: Commercial platforms are widely used in research to assess and treat balance deficits in post-stroke patients. However, they do not provide the necessary specificity for the limitations and/or compensations that these patients may present. It is also difficult to extract the captured data, and there are concerns about the accuracy of this capture. Objective:To validate a low-cost game platform called "Game Balance" for the analysis and training of balance in post-stroke patients. Materials and Methods: This is a cross-sectional study with a quantitative approach. Eight (8) post-stroke patients of both genders were recruited from the Physiotherapy Clinic of FACISA (Santa Cruz/RN). This sample was evaluated using the following clinical scales: Mini-Mental State Examination (MMSE), Functional Ambulation Categories (FAC), The Modified Clinical Test of Sensory Interaction and Balance (mCTSIB), Modified Rankin Scale (mRS), and Fugl-Meyer Assessment Scale. The statistical analysis was performed using means or medians and standard deviation or quartiles, followed by correlation analysis using the Pearson coefficient based on the identification of data normality or non-normality using Statistical Package for the Social Sciences (SPSS) software, version 20.0, with a significance level of 5%. Results: We had an n = 8, with a majority of males (62.5%), a mean age of 60.88 ± 11.67 years, and a majority of patients with ischemic stroke (62.5%) and left hemiparesis (75%) for a duration of 6.75 ± 4.33 years. Significant correlations were found between age and scores on "Game Balance" (Pearson's ρ = -0.743; p-value = 0.035), as well as between scores and activity time on the platform (Pearson's ρ = -0.738; p-value = 0.037), and between limb balance on the platform and the Rankin scale (Pearson's ρ = -0.745; p-value = 0.034). Conclusions:The platform achieved the proposed objective, with some relationships between the variables of the device and the physical conditions of the selected population. The results of this research serve as a basis for future studies aiming to establish the effectiveness of this therapeutic approach in the rehabilitation of post-stroke sequelae.

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Gait and Balance Disorder in Patients with Transient Ischemic Attack or Minor Stroke

Cited by 6 publications

References 43 publications

Deep brain stimulation (DBS) as a therapeutic approach in gait disorders: What does it bring to the table?

Deep brain stimulation (DBS) as a therapeutic approach in gait disorders: What does it bring to the table?

A Dynamic Nomogram to Predict the Risk of Stroke in Emergency Department Patients With Acute Dizziness

Performance of Post-Stroke Patient's Balance on a Game Platform "Game Balance" and its Correlation with Functional Tests: A Cross-Sectional Study

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