Del Brutto Oscar H, Mera Robertino M, Costa Aldo F, Peñaherrera Ernesto, Peñaherrera Rubén, Zambrano Mauricio
School of Medicine, Universidad Espíritu Santo-Ecuador, Guayaquil, Ecuador.
Vanderbilt University Medical Center, Nashville, Tennessee.
J Stroke Cerebrovasc Dis. 2018 Sep;27(9):2494-2499. doi: 10.1016/j.jstrokecerebrovasdis.2018.05.009. Epub 2018 Jun 19.
Knowledge on the association between arterial stiffness and intracranial atherosclerosis is limited. Here, we aimed to assess whether the aortic pulse wave velocity (PWV)-used as a surrogate of arterial stiffness-might independently predict severity of carotid siphon calcifications (CSCs), used as a marker of atherosclerosis.
Of 437 Atahualpa residents aged 60 years or older, 300 (69%) underwent head computed tomography (CT) (for CSC assessment), brain magnetic resonance imaging (for identification of neuroimaging signatures of cerebral small vessel disease [SVD]), and aortic PWV determinations (for arterial stiffness estimation). Ordinal logistic regression models were constructed to predict severity of CSC (as the dependent variable) according to levels of aortic PWV after adjusting for demographics, cardiovascular risk factors, and neuroimaging signatures of SVD.
Grade 1 CSC were noticed in 120 (40%) subjects, grade 2 in 84 (28%), grade 3 in 73 (24%), and grade 4 in 23 (8%). The mean PWV was 10.4 ± 1.8 m/s, which increased from 9.8 ± 1.3 to 11.1 ± 2.1 m/s in individuals with grades 1 and 4 CSC, respectively (P <.001). The most parsimonious ordinal logistic regression model adjusted for relevant confounders showed a significant association between aortic PWV and severity of CSC. In this model, a change of 1 unit of aortic PWV increased the odds of CSC severity by 1.22 (95% confidence interval 1.07-1.39; P = .004).
The monotonically increased odds of aortic PWV among subjects with different grades of CSC, suggest that aortic PWV may be a marker for identifying candidates for CT screening in the search of CSC.
关于动脉僵硬度与颅内动脉粥样硬化之间关联的知识有限。在此,我们旨在评估用作动脉僵硬度替代指标的主动脉脉搏波速度(PWV)是否能独立预测作为动脉粥样硬化标志物的颈动脉虹吸部钙化(CSC)的严重程度。
在437名60岁及以上的阿塔瓦尔帕居民中,300名(69%)接受了头部计算机断层扫描(CT)(用于CSC评估)、脑磁共振成像(用于识别脑小血管疾病[SVD]的神经影像学特征)以及主动脉PWV测定(用于动脉僵硬度评估)。构建有序逻辑回归模型,在调整人口统计学、心血管危险因素和SVD的神经影像学特征后,根据主动脉PWV水平预测CSC的严重程度(作为因变量)。
120名(40%)受试者出现1级CSC,84名(28%)出现2级,73名(24%)出现3级,23名(8%)出现4级。平均PWV为10.4±1.8 m/s,1级和4级CSC个体的PWV分别从9.8±1.3 m/s增加到11.1±2.1 m/s(P<.001)。针对相关混杂因素进行调整的最简约有序逻辑回归模型显示,主动脉PWV与CSC严重程度之间存在显著关联。在该模型中,主动脉PWV每变化1个单位,CSC严重程度增加的几率为1.22(95%置信区间1.07 - 1.39;P = .004)。
不同等级CSC受试者中主动脉PWV增加几率呈单调上升,提示主动脉PWV可能是在筛查CSC时识别CT筛查候选者的一个标志物。