Associations of carotid flow velocity with cerebral perfusion and cerebral small vessel disease: a community-based prospective study

颈动脉血流速度与脑灌注和脑小血管疾病的相关性:一项基于社区的前瞻性研究

阅读:2

Abstract

OBJECTIVES: To explore the associations of carotid artery hemodynamic parameters with cerebral perfusion and cerebral small vessel disease (CSVD) in a healthy population. METHODS: A total of 654 participants from the Kailuan community were included after those with incomplete data or carotid stenosis ≥ 50% were excluded. Carotid ultrasound was used to measure the peak carotid flow velocity (PSV), end-diastolic velocity (EDV), resistance index (RI), pulsatility index (PI) and carotid intima-media thickness (IMT) of the common carotid artery (CCA) and internal carotid artery (ICA). MRI was performed to assess cerebral perfusion and CSVD features, including white matter hyperintensities (WMH), lacunes (LA), cerebral microbleeds (CMB), and enlarged perivascular spaces (EPVS). Multivariate regression models were used to analyze the associations of carotid hemodynamics with cerebral perfusion and CSVD. RESULTS: CCA-EDV was positively associated with whole-brain perfusion (β = 0.14, p = 0.017) and regional perfusion in gray matter (GM) (β = 0.16, p = 0.012), frontal (β = 0.15, p = 0.014), parietal (β = 0.19, p = 0.006), temporal (β = 0.14, p = 0.020), and hippocampus (β = 0.12, p = 0.034), but no significant associations were found between CCA-EDV and white matter (WM) perfusion. A higher CCA-EDV was associated with a lower risk of LA (OR = 0.93, p = 0.029). The CCA-PSV was negatively correlated with the total CSVD score (OR = 0.99, p = 0.047). No significant associations were detected between other carotid hemodynamic parameters and LA, CMB, EPVS, WMH, or total CSVD score. CONCLUSIONS: Carotid artery hemodynamic parameters, especially the CCA-EDV, are closely related to cerebral perfusion and the development of CSVD. Reductions in total and regional cerebral perfusion, along with an increased LA burden, were associated with decreased CCA-EDV.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。