Fu Xian, Zhang Weijin, Li Xianliang, Liu Hongying, Zhang Yin, Gao Qingchun
Department of Neurology, Shenzhen Bao'an District Songgang People's Hospital, Shenzhen, China.
Department of Neurology, Institute of Neuroscience, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Front Neurol. 2023 Mar 21;14:1091075. doi: 10.3389/fneur.2023.1091075. eCollection 2023.
To investigate cerebrovascular hemodynamics, including critical closing pressure (CrCP) and pulsatility index (PI), and their independent relationship with cerebral small vessel disease (CSVD) burden in patients with small-vessel occlusion (SVO).
We recruited consecutive patients with SVO of acute cerebral infarction who underwent brain magnetic resonance imaging (MRI), transcranial Doppler (TCD) and CrCP during admission. Cerebrovascular hemodynamics were assessed using TCD. We used the CSVD score to rate the total MRI burden of CSVD. Multiple regression analysis was used to determine parameters related to CSVD burden or CrCP.
Ninety-seven of 120 patients (mean age, 64.51 ± 9.99 years; 76% male) completed the full evaluations in this study. We observed that CrCP was an independent determinant of CSVD burden in four models [odds ratio, 1.41; 95% confidence interval (CI), 1.17-1.71; < 0.001] and correlated with CSVD burden [β (95% CI): 0.05 (0.04-0.06); < 0.001]. In ROC analysis, CrCP was considered as a predictor of CSVD burden, and AUC was 86.2% (95% CI, 78.6-93.9%; < 0.001). Multiple linear regression analysis showed that CrCP was significantly correlated with age [β (95% CI): 0.27 (0.06 to 0.47); = 0.012], BMI [β (95% CI): 0.61 (0.00-1.22)] and systolic BP [β (95% CI): 0.16 (0.09-0.23); < 0.001].
CrCP representing cerebrovascular tension is an independent determinant and predictor of CSVD burden. It was significantly correlated with age, BMI and systolic blood pressure. These results provide new insights in the mechanism of CSVD development.
研究小血管闭塞(SVO)患者的脑血管血流动力学,包括临界关闭压(CrCP)和搏动指数(PI),以及它们与脑小血管病(CSVD)负担的独立关系。
我们纳入了连续的急性脑梗死SVO患者,这些患者在入院期间接受了脑磁共振成像(MRI)、经颅多普勒(TCD)检查和CrCP测量。使用TCD评估脑血管血流动力学。我们用CSVD评分对CSVD的MRI总负担进行评分。采用多元回归分析来确定与CSVD负担或CrCP相关的参数。
120例患者中有97例(平均年龄64.51±9.99岁;76%为男性)完成了本研究的全部评估。我们观察到,在四个模型中CrCP是CSVD负担的独立决定因素[比值比,1.41;95%置信区间(CI),1.17 - 1.71;P<0.001],且与CSVD负担相关[β(95%CI):0.05(0.04 - 0.06);P<0.001]。在ROC分析中,CrCP被视为CSVD负担的预测指标,曲线下面积(AUC)为86.2%(95%CI,78.6 - 93.9%;P<0.001)。多元线性回归分析显示,CrCP与年龄[β(95%CI):0.27(0.06至0.47);P = 0.012]、体重指数(BMI)[β(95%CI):0.61(从0.00至1.22)]和收缩压[β(95%CI):0.16(0.09 - 0.23);P<0.001]显著相关。
代表脑血管张力的CrCP是CSVD负担的独立决定因素和预测指标。它与年龄、BMI和收缩压显著相关。这些结果为CSVD发生机制提供了新的见解。