Mingzhu Jiang, Yan Li, Ying Chen, Jinying Fan, Zhiqin Zhao, Wenkai Long, Hailun Huang, Fang Luo, Chao Tang, Mi Li, Ning Xiao, Bo Lin, Shan Wu, Jing Ding
{"title":"步态参数可反映患有脑小血管疾病的老年人的认知能力:一项横断面研究","authors":"Mingzhu Jiang, Yan Li, Ying Chen, Jinying Fan, Zhiqin Zhao, Wenkai Long, Hailun Huang, Fang Luo, Chao Tang, Mi Li, Ning Xiao, Bo Lin, Shan Wu, Jing Ding","doi":"10.2174/0115672026281431231212052728","DOIUrl":null,"url":null,"abstract":"Background: Cerebral small vessel disease (CSVD) is a common chronic progressive disease. It remains unclear whether high gait variability is a marker of cognitive cortical dysfunction. <p> </P> Methods: This study included 285 subjects (aged from 60 to 85 years, 60.3% female) including 37 controls, 179 presented as Fazekas II, and 69 presented as Fazekas III. The severity of white matter hyperintensities was assessed by the Fazekas Rating Scale. Gait parameters were assessed using a vision-based artificial intelligent gait analyzer. Cognitive function was tested by MMSE, MoCA, DST, and VFT. <p> </P> Results: Three gait parameters including gait speed, gait length, and swing time were associated with cognitive performance in patients with CSVD. Gait speed was associated with cognitive performance, including MMSE (β 0.200; 95%CI 1.706-6.018; P <.001), MoCA (β 0.183; 95%CI 2.047-7.046; P <.001), DST (order) (β 0.204; 95%CI 0.563-2.093; P =.001) and VFT (β 0.162; 95%CI 0.753-4.865; P =.008). Gait length was associated with cognitive performance, including MMSE (β 0.193; 95%CI 3.475-12.845; P =.001), MoCA (β 0.213; 95%CI 6.098-16.942; P <.001), DST (order) (β 0.224; 95%CI 1.056-4.839; P <.001) and VFT (β 0.149; 95%CI 1.088- 10.114; P =.015). Swing time was associated with cognitive performance, including MMSE (β - 0.242; 95%CI -2.639 to -0.974; P<.001), MoCA (β -0.211; 95%CI -2.989 to -1.034; P <.001) and DST (reverse order) (β -0.140; 95%CI -0.568 to -0.049; P =.020). <p> </P> Conclusion: This study revealed that the relationship between gait parameters and cognitive performance in patients with CSVD and the deteriorated gait parameters can reflect cognitive impairment and even dementia in older people with CSVD.","PeriodicalId":10879,"journal":{"name":"Current neurovascular research","volume":"2 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gait Parameters can Reflect Cognitive Performance in Older Adults with Cerebral Small Vessel Disease: A Cross-sectional Research\",\"authors\":\"Mingzhu Jiang, Yan Li, Ying Chen, Jinying Fan, Zhiqin Zhao, Wenkai Long, Hailun Huang, Fang Luo, Chao Tang, Mi Li, Ning Xiao, Bo Lin, Shan Wu, Jing Ding\",\"doi\":\"10.2174/0115672026281431231212052728\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Cerebral small vessel disease (CSVD) is a common chronic progressive disease. It remains unclear whether high gait variability is a marker of cognitive cortical dysfunction. <p> </P> Methods: This study included 285 subjects (aged from 60 to 85 years, 60.3% female) including 37 controls, 179 presented as Fazekas II, and 69 presented as Fazekas III. The severity of white matter hyperintensities was assessed by the Fazekas Rating Scale. Gait parameters were assessed using a vision-based artificial intelligent gait analyzer. Cognitive function was tested by MMSE, MoCA, DST, and VFT. <p> </P> Results: Three gait parameters including gait speed, gait length, and swing time were associated with cognitive performance in patients with CSVD. Gait speed was associated with cognitive performance, including MMSE (β 0.200; 95%CI 1.706-6.018; P <.001), MoCA (β 0.183; 95%CI 2.047-7.046; P <.001), DST (order) (β 0.204; 95%CI 0.563-2.093; P =.001) and VFT (β 0.162; 95%CI 0.753-4.865; P =.008). Gait length was associated with cognitive performance, including MMSE (β 0.193; 95%CI 3.475-12.845; P =.001), MoCA (β 0.213; 95%CI 6.098-16.942; P <.001), DST (order) (β 0.224; 95%CI 1.056-4.839; P <.001) and VFT (β 0.149; 95%CI 1.088- 10.114; P =.015). Swing time was associated with cognitive performance, including MMSE (β - 0.242; 95%CI -2.639 to -0.974; P<.001), MoCA (β -0.211; 95%CI -2.989 to -1.034; P <.001) and DST (reverse order) (β -0.140; 95%CI -0.568 to -0.049; P =.020). <p> </P> Conclusion: This study revealed that the relationship between gait parameters and cognitive performance in patients with CSVD and the deteriorated gait parameters can reflect cognitive impairment and even dementia in older people with CSVD.\",\"PeriodicalId\":10879,\"journal\":{\"name\":\"Current neurovascular research\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current neurovascular research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/0115672026281431231212052728\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current neurovascular research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0115672026281431231212052728","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Gait Parameters can Reflect Cognitive Performance in Older Adults with Cerebral Small Vessel Disease: A Cross-sectional Research
Background: Cerebral small vessel disease (CSVD) is a common chronic progressive disease. It remains unclear whether high gait variability is a marker of cognitive cortical dysfunction. <p> </P> Methods: This study included 285 subjects (aged from 60 to 85 years, 60.3% female) including 37 controls, 179 presented as Fazekas II, and 69 presented as Fazekas III. The severity of white matter hyperintensities was assessed by the Fazekas Rating Scale. Gait parameters were assessed using a vision-based artificial intelligent gait analyzer. Cognitive function was tested by MMSE, MoCA, DST, and VFT. <p> </P> Results: Three gait parameters including gait speed, gait length, and swing time were associated with cognitive performance in patients with CSVD. Gait speed was associated with cognitive performance, including MMSE (β 0.200; 95%CI 1.706-6.018; P <.001), MoCA (β 0.183; 95%CI 2.047-7.046; P <.001), DST (order) (β 0.204; 95%CI 0.563-2.093; P =.001) and VFT (β 0.162; 95%CI 0.753-4.865; P =.008). Gait length was associated with cognitive performance, including MMSE (β 0.193; 95%CI 3.475-12.845; P =.001), MoCA (β 0.213; 95%CI 6.098-16.942; P <.001), DST (order) (β 0.224; 95%CI 1.056-4.839; P <.001) and VFT (β 0.149; 95%CI 1.088- 10.114; P =.015). Swing time was associated with cognitive performance, including MMSE (β - 0.242; 95%CI -2.639 to -0.974; P<.001), MoCA (β -0.211; 95%CI -2.989 to -1.034; P <.001) and DST (reverse order) (β -0.140; 95%CI -0.568 to -0.049; P =.020). <p> </P> Conclusion: This study revealed that the relationship between gait parameters and cognitive performance in patients with CSVD and the deteriorated gait parameters can reflect cognitive impairment and even dementia in older people with CSVD.
期刊介绍:
Current Neurovascular Research provides a cross platform for the publication of scientifically rigorous research that addresses disease mechanisms of both neuronal and vascular origins in neuroscience. The journal serves as an international forum publishing novel and original work as well as timely neuroscience research articles, full-length/mini reviews in the disciplines of cell developmental disorders, plasticity, and degeneration that bridges the gap between basic science research and clinical discovery. Current Neurovascular Research emphasizes the elucidation of disease mechanisms, both cellular and molecular, which can impact the development of unique therapeutic strategies for neuronal and vascular disorders.