Sozzi Caterina, Brenlla Carla, Bartolomé Inés, Girona Andrés, Muñoz-Moreno Emma, Laredo Carlos, Rodríguez-Vázquez Alejandro, Doncel-Moriano Antonio, Rudilosso Salvatore, Chamorro Ángel
Neurology Department, University of Milano Bicocca, 20126 Milan, Italy.
Neurology Department, Hospital Clínic, 08036 Barcelona, Spain.
J Cardiovasc Dev Dis. 2024 Nov 1;11(11):345. doi: 10.3390/jcdd11110345.
: Perivascular spaces (PVS) are usually enlarged in small vessel disease (SVD). However, the significance of PVS patterns in different locations is uncertain. Hence, we analyzed the distribution of PVS in patients with a recent small subcortical infarct (RSSI) and their correlation with clinical and imaging factors. : In a cohort of 71 patients with an RSSI with complete clinical data, including the Pittsburgh Sleep Quality Index (PSQI), we segmented PVS in white matter (WM-PVS), basal ganglia (BG-PVS), and brainstems (BS-PVS) on 3T-MRI T2-weighted sequences, obtaining fractional volumes (%), and calculated the WM/BG-PVS ratio. We analyzed the Pearson's correlation coefficients between PVS regional loads. We used normalized PVS measures to assess the associations with clinical and MRI-SVD features (white matter hyperintensities (WMHs), number of lacunes, and microbleeds) in univariable and multivariable linear regressions adjusted for age, sex, and hypertension. : In our cohort (mean age 70 years; 27% female), the Pearson's correlation coefficients between WM-PVS/BG-PVS, WM-PVS/BS-PVS, and BG-PVS/BS-PVS were 0.67, 0.61, and 0.59 (all < 0.001). In the adjusted models, BG-PVS were associated with lacunes ( = 0.034), WMHs ( = 0.006), and microbleeds ( = 0.017); WM-PVS with lacunes ( = 0.003); while BS-PVS showed no associations. The WM/BG-PVS ratio was associated with lacunes ( = 0.018) and the PSQI ( = 0.046). : PVS burdens in different regions are highly correlated in patients with RSSI but with different SVD patterns. Sleep quality impairment might affect waste removal mechanisms differently in the WM and BG regions.
脑周血管间隙(PVS)在小血管疾病(SVD)中通常会扩大。然而,不同位置的PVS模式的意义尚不确定。因此,我们分析了近期皮质下小梗死(RSSI)患者的PVS分布及其与临床和影像学因素的相关性。
在一组71例具有完整临床数据(包括匹兹堡睡眠质量指数(PSQI))的RSSI患者中,我们在3T-MRI T2加权序列上对脑白质(WM-PVS)、基底节(BG-PVS)和脑干(BS-PVS)中的PVS进行分割,获得分数体积(%),并计算WM/BG-PVS比值。我们分析了PVS区域负荷之间的Pearson相关系数。我们使用标准化的PVS测量值,在针对年龄、性别和高血压进行调整的单变量和多变量线性回归中,评估其与临床和MRI-SVD特征(脑白质高信号(WMHs)、腔隙数量和微出血)的关联。
在我们的队列中(平均年龄70岁;27%为女性),WM-PVS/BG-PVS、WM-PVS/BS-PVS和BG-PVS/BS-PVS之间的Pearson相关系数分别为0.67、0.61和0.59(均<0.001)。在调整后的模型中,BG-PVS与腔隙(=0.034)、WMHs(=0.006)和微出血(=0.017)相关;WM-PVS与腔隙(=0.003)相关;而BS-PVS未显示出相关性。WM/BG-PVS比值与腔隙(=0.018)和PSQI(=0.046)相关。
RSSI患者不同区域的PVS负荷高度相关,但具有不同的SVD模式。睡眠质量受损可能对脑白质和基底节区域的废物清除机制产生不同影响。