超声参数与高血压患者亚临床白质高信号的关系。

Cardiovascular psychiatry and neurology Pub Date : 2012-01-01 Epub Date: 2012-09-26 DOI:10.1155/2012/616572
Ioannis Heliopoulos, Dimitrios Artemis, Konstantinos Vadikolias, Grigorios Tripsianis, Charitomeni Piperidou, Georgios Tsivgoulis
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引用次数: 52

摘要

背景和目的。脑白质高信号(WMHs)被认为是小血管病变(SVD)的典型MRI表现,常见于高血压患者。高血压引起大循环和微循环的病理改变。微循环的改变可导致脑SVD,从而导致高血压终末器官损伤。这种损伤被认为是大血管和微血管水平相互作用的结果。我们试图通过颈动脉双工超声(CDU)和经颅多普勒超声(TCD)评估脑wmh与脑大循环超声参数的关系。研究对象和方法。该研究是前瞻性、横断面和连续的,纳入了伴有脑MRI的高血压患者。患者分别行CDU和TCD。记录的临床变量包括人口统计学特征(年龄、性别、种族)和血管危险因素(高血压、糖尿病、高胆固醇血症、当前吸烟和体重指数)。本研究排除有临床卒中史(包括腔隙性卒中和出血性卒中)或短暂性脑缺血发作(半球或眼部)、血流动力学显著(>50%)的颅内或外腔狭窄、潜在的心脏栓塞源和无颞窗的患者。采用半定量目视评定法对wmh进行定量。超声参数包括:(1)颈总动脉(CCA)直径及内膜-中膜厚度;(2)CCA及颈内动脉(ICA)血流速度;(3)大脑中动脉(MCA)血流速度及脉搏指数。结果。共有52例患者符合研究纳入标准(平均年龄71.4±4.5岁,男性占54%,中位wmh评分:20)。在调整了人口统计学特征和血管危险因素的多元线性回归模型中,仅有两个超声参数与WMH评分独立相关,分别是颈总动脉(CCA)平均直径增加(beta = 0.784, SE = 0.272, P = 0.006, R(2) = 23.9%)和大脑中动脉脉搏指数(MCA-PI;β= 0.262,= 0.110,P = 0.025 R(2) = 9.0%)。在所有超声参数中,MCA-PI的AUC(受试者工作特征曲线下面积)最高(AUC = 0.82, 95% CI = 0.68-0.95, P < 0.001),平均CCA直径(AUC = 0.80, 95% CI = 0.67-0.92, P < 0.001)。结论。我们的研究表明,在高血压合并脑SVD患者中,wmh负荷反映的脑微循环结构改变程度与以下脑大循环超声参数:CCA直径和MCA-PI有关。
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Association of ultrasonographic parameters with subclinical white-matter hyperintensities in hypertensive patients.

Background and Purpose. Cerebral white matter hyperintensities (WMHs) are regarded as typical MRI expressions of small-vessel disease (SVD) and are common in hypertensive patients. Hypertension induces pathologic changes in macrocirculation and in microcirculation. Changes in microcirculation may lead to SVD of brain and consequently to hypertensive end-organ damage. This damage is regarded the result of interactions between the macrovascular and microvascular levels. We sought to investigate the association of cerebral WMHs with ultrasonographic parameters of cerebral macrocirculation evaluated by carotid duplex ultrasound (CDU) and transcranial doppler (TCD). Subjects and Methods. The study was prospective, cross-sectional and consecutive and included hypertensive patients with brain MRI with WMHs. Patients underwent CDU and TCD. The clinical variables recorded were demographic characteristics (age, gender, race) and vascular risk factors (hypertension, diabetic mellitus, hypercholesterolemia, current smoking, and body mass index). Excluded from the study were patients with history of clinical stroke (including lacunar stroke and hemorrhagic) or transient ischemic attack (either hemispheric or ocular), hemodynamically significant (>50%) extra- or intracranial stenosis, potential sources of cardioembolism, and absent transtemporal windows. WMHs were quantified with the use of a semiquantitative visual rating method. Ultrasound parameters investigated were (1) common carotid artery (CCA) diameter and intima-media thickness, (2) blood flow velocity in the CCA and internal carotid artery (ICA), and (3) blood flow velocity and pulsatility index of middle cerebral artery (MCA). Results. A total of 52 patients fulfilled the study inclusion criteria (mean age 71.4 ± 4.5 years, 54% men, median WMH-score: 20). The only two ultrasound parameters that were independently associated with WMH score in multivariate linear regression models adjusting for demographic characteristics and vascular risk factors were increased mean common carotid artery (CCA) diameter (beta = 0.784, SE = 0.272, P = 0.006, R(2) = 23.9%) and increased middle cerebral artery pulsatility index (MCA-PI; beta = 0.262, SE = 0.110, P = 0.025, R(2) = 9.0%). Among all ultrasound parameters the highest AUC (areas under the receiver operating characteristic curve) were documented for MCA-PI (AUC = 0.82, 95% CI = 0.68-0.95, P < 0.001) and mean CCA diameter (AUC = 0.80, 95% CI = 0.67-0.92, P < 0.001). Conclusions. Our study showed that in hypertensive individuals with brain SVD the extent of structural changes in cerebral microcirculation as reflected by WMHs burden is associated with the following ultrasound parameters of cerebral macrocirculation: CCA diameter and MCA-PI.

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