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颈动脉僵硬度准确预测 20 年后的脑白质高信号体积:社区动脉粥样硬化风险研究的二次分析。

Carotid Artery Stiffness Accurately Predicts White Matter Hyperintensity Volume 20 Years Later: A Secondary Analysis of the Atherosclerosis Risk in the Community Study.

机构信息

From the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah

From the Department of Neurology (A.d.H., K.-H.W., A.E., J.S.M., J.J.M.), University of Utah, Salt Lake City, Utah.

出版信息

AJNR Am J Neuroradiol. 2019 Aug;40(8):1369-1373. doi: 10.3174/ajnr.A6115. Epub 2019 Jun 27.

Abstract

BACKGROUND AND PURPOSE

Arterial stiffness is a biomarker of cerebrovascular disease and dementia risk. Studies have shown an association between carotid artery stiffness and increased white matter hyperintensity volume and, as a result, reduced total brain volume on MR imaging, but none have had prolonged follow-up to fully evaluate the slow change seen in white matter hyperintensity volume and total brain volume with time. Our objective was to determine whether common carotid artery stiffness on sonography accurately predicts white matter hyperintensity volume and total brain volume on MR imaging more than 20 years later.

MATERIALS AND METHODS

We performed a secondary analysis of the Atherosclerosis Risk in the Community study to compare 5 measurements of carotid artery stiffness, including strain, distensibility, compliance, Stiffness index, and pressure-strain elastic modulus, with the white matter hyperintensity volume and total brain volume on a follow-up MR imaging using linear regression.

RESULTS

We included 1402 patients enrolled in the Atherosclerosis Risk in the Community study. There was a significant relationship between increasing carotid artery stiffness and both higher white matter hyperintensity volume and lower total brain volume on MR imaging, measured at a mean of 21.5 years later. In multivariable linear regression models, the carotid strain, distensibility, Stiffness index, and pressure-strain elastic modulus were associated with white matter hyperintensity volume. Only compliance was associated with total brain volume in the multivariate models.

CONCLUSIONS

Sonography measurements of carotid artery stiffness are predictive of white matter hyperintensity volume and total brain volume on MR imaging more than 20 years later. The association is more robust for white matter hyperintensity volume than total brain volume. These findings support the role of arterial stiffness as a method for identifying patients at risk of developing white matter hyperintensity volume and as a potential mechanism leading to small-artery disease of the brain.

摘要

背景与目的

动脉僵硬度是脑血管疾病和痴呆风险的生物标志物。研究表明,颈动脉僵硬度与脑白质高信号体积增加有关,进而导致磁共振成像(MRI)上的总脑容量减少,但没有研究进行长时间随访以充分评估脑白质高信号体积和总脑容量随时间的缓慢变化。我们的目的是确定超声检查的颈总动脉僵硬度是否能更准确地预测 20 多年后 MRI 上的脑白质高信号体积和总脑容量。

材料与方法

我们对社区动脉粥样硬化风险研究(Atherosclerosis Risk in the Community study)进行了二次分析,比较了 5 种颈动脉僵硬度测量指标,包括应变、可扩展性、顺应性、僵硬度指数和压力-应变弹性模量,与后续 MRI 上的脑白质高信号体积和总脑容量进行线性回归比较。

结果

我们纳入了 1402 名参加社区动脉粥样硬化风险研究的患者。在平均 21.5 年后的 MRI 上,颈总动脉僵硬度与脑白质高信号体积和总脑容量的增加呈显著相关。在多变量线性回归模型中,颈动脉应变、可扩展性、僵硬度指数和压力-应变弹性模量与脑白质高信号体积相关。只有顺应性在多变量模型中与总脑容量相关。

结论

超声测量的颈总动脉僵硬度可预测 20 多年后 MRI 上的脑白质高信号体积和总脑容量。这种相关性在脑白质高信号体积方面比总脑容量更为显著。这些发现支持动脉僵硬度作为识别发生脑白质高信号体积风险患者的方法,并可能是导致小动脉脑疾病的潜在机制。

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