Effect of atherosclerotic plaque characteristics of middle cerebral artery on cerebral infarction caused by arterial stenosis
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摘要:
目的 通过分析高分辨率磁共振血管壁成像(HRMR-VWI)和弥散加权成像(DWI),探讨大脑中动脉(MCA)粥样硬化狭窄患者血管壁特征和梗死模式之间的关系。 方法 回顾性纳入2021年1月—2022年12月连续就诊于郑州大学人民医院的大脑中动脉粥样硬化性疾病导致的急性缺血性卒中患者68例。采用HRMR-VWI获取患者血管壁特征, 根据DWI将患者分为单发脑梗死组和多发脑梗死组,比较2组的动脉粥样硬化危险因素、管腔狭窄程度、斑块特征。采用logistic回归分析研究MCA粥样硬化狭窄患者血管壁特征和梗死模式之间的关系。 结果 68例MCA粥样硬化狭窄患者中,多发脑梗死45例(66.18%),单发脑梗死23例(33.82%)。2组患者的年龄、性别、高血压、糖尿病、高脂血症、吸烟史、心血管疾病史、脑血管疾病史、NIHSS评分等危险因素比较,差异均无统计学意义(P>0.05)。多发脑梗死组狭窄程度及斑块内出血(IPH)发生率均显著高于单发脑梗死组(狭窄程度:P=0.029;IPH:P=0.025)。2组在偏心性、斑块强化等方面差异均无统计学意义(P>0.05)。在校正年龄、性别、高血压、糖尿病、高脂血症、吸烟史、心血管疾病史、脑血管疾病史、NIHSS评分等混杂因素后,logistic回归分析显示IPH(校正后OR=6.525,95% CI:1.108-38.442,P=0.038)是多发性脑梗死的独立预测因素。 结论 IPH与多发性脑梗死独立相关。HRMR-VWI可能为不同MCA梗死模式的机制提供新的见解。 Abstract:Objective To explore the correlation between vessel wall characteristics and infarction patterns in patients with atherosclerotic stenosis of the middle cerebral artery (MCA) using high-resolution magnetic resonance vessel wall imaging (HRMR-VWI) and diffusion-weighted imaging (DWI). Methods A retrospective study was conducted at the People's Hospital of Zhengzhou University from January 2021 to December 2022, involving 68 patients with acute ischemic stroke in the MCA due to atherosclerotic stenosis. Patients were categorized into single-and multiple-infarct groups based on DWI findings, and various atherosclerosis risk factors, degree of lumen stenosis, and plaque characteristics were compared between the two groups. Logistic regression analysis was performed to assess the relationship between vessel wall properties and infarct patterns in MCA atherosclerotic stenosis patients. Results Among 68 patients with atherosclerotic stenosis in the middle cerebral artery, 45 patients (66.18%) had multiple infarcts, and 23 (33.82%) had single infarcts. There were no significant difference in age, sex, hypertension, diabetes, hyperlipidemia, smoking history, cardiovascular disease history, cerebrovascular disease history and NIHSS score between the two groups (P>0.05). Degree of stenosis and prevalence of intraplaque hemorrhage (IPH) were significantly greater in the multiple-infarction group than those in the single-infarction group (degree of stenosis: P=0.029; IPH: P=0.025). There was no significant difference in eccentricity and plaque enhancement between the two groups (P>0.05). After adjusting for age, sex, hypertension, diabetes, hyperlipidemia, smoking history, cardiovascular disease history, cerebrovascular disease history, NIHSS score and other confounding factors, logistic regression analysis showed that IPH (adjusted OR=6.525, 95% CI: 1.108-38.442, P= 0.038) was independent predictor for multiple infarction. Conclusion IPH is independently associated with multiple infarcts. HRMR-VWI may provide new insight into the mechanisms underlying the different MCA infarction patterns. -
表 1 单发脑梗死组与多发脑梗死组患者一般资料比较
Table 1. Comparison of general data between single cerebral infarction group and multiple cerebral infarction group
组别 例数 年龄(x±s,岁) 性别(男/女,例) 高血压[例(%)] 糖尿病[例(%)] 高脂血症[例(%)] 吸烟史[例(%)] 心血管疾病史[例(%)] 脑血管疾病史[例(%)] NIHSS评分[M(P25, P75),分] 单发脑梗死组 23 61.96±10.32 15/8 12(52.17) 5(21.74) 2(8.70) 6(26.09) 1(4.35) 2(8.70) 4(3,9) 多发脑梗死组 45 62.18±12.46 25/20 23(51.11) 13(28.89) 8(17.78) 21(46.67) 5(11.11) 7(15.56) 6(4,10) 统计量 0.073a 0.851b 0.009b 0.455b 0.470b 3.237b 0.257b 0.202b -1.947c P值 0.942 0.356 0.923 0.500 0.493 0.072 0.612 0.653 0.052 注:a为t值,b为χ2值,c为Z值。 表 2 单发脑梗死组和多发脑梗死组的HR-MRI特征比较
Table 2. Comparison of HR-MRI features between single cerebral infarction group and multiple cerebral infarction group
组别 例数 IPH[例(%)] 偏心性斑块[例(%)] 斑块强化[例(%)] 狭窄程度[M(P25, P75), %] 单发脑梗死组 23 3(13.04) 10(43.48) 20(86.96) 66(58,71) 多发脑梗死组 45 17(37.78) 26(57.78) 41(91.11) 69(65,78) 统计量 5.046a 1.651a 0.162a -2.177b P值 0.025 0.199 0.687 0.029 注:a为χ2值,b为Z值。 表 3 自变量赋值情况
Table 3. Description of independent variables
自变量 赋值方法 性别 女性=0,男性=1 高血压 无=0,有=1 糖尿病 无=0,有=1 高脂血症 无=0,有=1 吸烟史 无=0,有=1 心血管疾病史 无=0,有=1 脑血管疾病史 无=0,有=1 IPH 无=0,有=1 偏心性斑块 无=0,有=1 斑块强化 无=0,有=1 表 4 多发性脑梗死预测因素的logistic回归分析
Table 4. Logistic regression analysis of predictive factors of multiple cerebral infarction
预测因素 B SE Waldχ2 P值 OR(95% CI) IPH 1.876 0.905 4.297 0.038 6.525(1.108~38.442) 偏心性斑块 0.673 0.677 0.990 0.320 1.961(0.520~7.388) 斑块强化 0.220 0.957 0.053 0.818 1.247(0.191~8.133) 狭窄程度 0.072 0.038 3.635 0.057 1.075(0.998~1.158) 注:校正年龄、性别、高血压、糖尿病、高脂血症、吸烟史、心血管疾病史、脑血管疾病史、NIHSS评分。 -
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