ArticleFrontiers in neurology2023
Gait characteristics related to fall risk in patients with cerebral small vessel disease.
Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 7 citations in OpenAlex.
- The relationship between white matter hyperintensity and gait in patients with cerebral small vessel disease.Frontiers in neurology · 2026Article
- Bridging the visual-to-physical gap: physically aligned representations for fall risk analysis.Frontiers in medicine · 2026Article
- Small vessel disease increases risk of poor outcome through stroke and dementia.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Observational
- Wearable sensors and machine learning fusion-based fall risk prediction in covert cerebral small vessel disease.Frontiers in neuroscience · 2025Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Falls and gait disturbance are significant clinical manifestations of cerebral small vessel disease (CSVD). However, few relevant studies are reported at present. We aimed to investigate gait characteristics and fall risk in patients with CSVD. Methods: A total of 119 patients with CSVD admitted to the Department of Neurology at Tianjin Huanhu Hospital between 17 August 2018 and 7 November 2018 were enrolled in this study. All patients underwent cerebral magnetic resonance imaging scanning and a 2-min walking test using an OPAL wearable sensor and Mobility Lab software. Relevant data were collected using the gait analyzer test system to further analyze the time-space and kinematic parameters of gait. All patients were followed up, and univariate and multivariate logistic regression analyses were conducted to analyze the gait characteristics and relevant risk factors in patients with CSVD at an increased risk of falling. Results: All patients were grouped according to the presence or absence of falling and fear of falling and were divided into a high-fall risk group ( Conclusion: CSVD patients with seemingly normal gait and ambulation independently still have a high risk of falling, and gait spatiotemporal-kinematic parameters, gait symmetry, and gait variability are important indicators to assess the high-fall risk. The decrease in toe-off angle, in particular, and an increase in related parameters of CV, can increase the fall risk of CSVD patients.
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