Yoo Il-Han, Kim Jeong-Min, Han Su-Hyun, Ryu Jaiyoung, Jung Keun-Hwa, Park Kwang-Yeol
Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Seoul, Republic of Korea.
Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Clin Hypertens. 2022 Aug 15;28(1):27. doi: 10.1186/s40885-022-00210-9.
Higher pulsatility of the middle cerebral artery (MCA) is known to be associated with stroke progression. We investigated whether pulsatility index (PI) of the basilar artery (BA) can predict neurological deterioration (ND) after acute cerebral infarction.
A total of 708 consecutive patients with acute ischemic stroke who had undergone transcranial Doppler (TCD) ultrasonography were included. ND was defined as an increase in the National Institutes of Health Stroke Scale scores by two or more points after admission. The patients were categorized into quartiles according to BA PI. Multivariable logistic regression analysis was performed to examine whether BA PI is independently associated with ND.
BA PI was well correlated with the right (n = 474, r = 0.573, P < 0.001) by Pearson correlation analysis although MCA PI could not be measured from right MCA (n = 234, 33.05%) and left MCA (n = 252, 35.59%) by TCD owing to insufficient temporal bone window. Multivariable logistic regression analysis including age, sex, cerebral atherosclerosis burden, National Institutes of Health Stroke Scale at admission, and the proportion of patients with current smoking status, hypertension, diabetes mellitus, atrial fibrillation revealed that the higher BA PI (odds ratio, 3.28; confidence interval, 1.07-10.17; P = 0.038) was independently associated with ND.
BA PI, which would be identified regardless of temporal window, could predict ND among acute stroke patients.
已知大脑中动脉(MCA)较高的搏动性与卒中进展相关。我们研究了基底动脉(BA)的搏动指数(PI)是否能预测急性脑梗死患者的神经功能恶化(ND)。
纳入708例连续接受经颅多普勒(TCD)超声检查的急性缺血性卒中患者。ND定义为入院后美国国立卫生研究院卒中量表评分增加2分或更多。根据BA PI将患者分为四分位数。进行多变量逻辑回归分析以检验BA PI是否与ND独立相关。
尽管由于颞骨窗不足,TCD无法测量右侧MCA(n = 234,33.05%)和左侧MCA(n = 252,35.59%)的MCA PI,但Pearson相关分析显示BA PI与右侧(n = 474,r = 0.573,P < 0.001)有良好的相关性。多变量逻辑回归分析纳入年龄、性别、脑动脉粥样硬化负担、入院时美国国立卫生研究院卒中量表评分以及当前吸烟状态、高血压、糖尿病、心房颤动患者的比例,结果显示较高的BA PI(比值比,3.28;置信区间,1.07 - 10.17;P = 0.038)与ND独立相关。
无论颞窗情况如何均可识别的BA PI能够预测急性卒中患者的ND。