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    颈动脉狭窄与脑小血管病影像学标志物的关系

    Correlation between carotid artery stenosis and imaging markers of cerebral small vessel disease

    • 摘要: 目的 探讨颈动脉狭窄(CAS)与脑小血管病(CSVD)影像学标志物的关系及其预测CSVD总负荷的潜在价值。方法 选取2022年9月—2023年12月于河北医科大学第三医院神经内科就诊的CSVD患者310例。根据CAS程度将CSVD患者分为2组:无或轻度CAS组(狭窄程度<50%)、中重度CAS组(狭窄程度≥50%)。收集患者临床资料和影像学数据,评估CSVD总负荷。采用单因素和多因素logistic回归分析CAS与CSVD影像学标志物及CSVD总负荷的关系。绘制受试者工作特征(ROC)曲线,评估中重度CAS对CSVD总负荷的预测效能。结果 与无或轻度CAS组相比,中重度CAS组年龄较大,超敏C反应蛋白(hs-CRP)水平更高,男性占比、糖尿病史、吸烟史、饮酒史、腔隙性脑梗死(LI)比例、中重度血管周围间隙扩大(EPVS)比例、脑微出血(CMB)比例、中重度脑白质高信号(WMH)比例、中重度CSVD总负荷比例更高(P<0.05)。多因素logistic回归分析结果表明,中重度CAS是LI、CMB、中重度WMH和中重度CSVD总负荷的独立危险因素(P<0.05);中重度CAS、年龄、吸烟史、高血压是中重度CSVD总负荷的独立危险因素(P<0.05)。ROC曲线显示,年龄、中重度CAS、年龄联合中重度CAS预测中重度CSVD总负荷的曲线下面积(AUC)分别为0.710(95%CI:0.653~0.767,P<0.001)、0.606(95%CI:0.544~0.668,P=0.001)、0.748(95%CI:0.694~0.802,P<0.001)。结论 中重度CAS会加重CSVD总负荷,并可能是预测中重度CSVD总负荷的潜在指标。

       

      Abstract: Objective To investigate the relationship between carotid artery stenosis (CAS) and imaging markers of cerebral small vessel disease (CSVD), and to explore the potential value of CAS in predicting total CSVD burden. Methods A total of 310 CSVD patients who were admitted to Department of Neurology at the Third Hospital of Hebei Medical University between September 2022 and December 2023 were enrolled. According to the degree of CAS, the patients were divided into two groups: a non-CAS or mild CAS group (stenosis <50%) and a moderate-to-severe CAS group (stenosis ≥50%). Clinical data and imaging findings were collected to assess the total CSVD burden. Univariate and multivariate logistic regression analyses were used to examine the relationships between CAS and CSVD imaging markers, as well as total CSVD burden. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of moderate-to-severe CAS for total CSVD burden. Results Compared with the non-CAS or mild CAS group, the moderate-to-severe CAS group showed significant increases in older patients, high-sensitivity C-reactive protein (hs-CRP), as well as male percentage, diabetes history, smoking history, alcohol consumption, lacunar infarction (LI) percentage, moderate-to-severe enlarged perivascular space (EPVS) percentage, cerebral microbleed (CMB) percentage, moderate-to-severe white matter hyperintensity (WMH) percentage, and moderate-to-severe total CSVD burden (P<0.05). Multivariate logistic regression analysis indicated that moderate-to-severe CAS was an independent risk factor for LI, CMB, WMH, and moderate-to-severe total CSVD burden (P<0.05); moderate-to-severe CAS, age, smoking history, and hypertension were independent risk factors for moderate-to-severe total CSVD burden (P<0.05). ROC curve analysis showed that the area under the curve (AUC) for predicting moderate-to-severe CSVD burden using age, moderate-to-severe CAS, and the combination of age and moderate-to-severe moderate-to-severe CAS were 0.710 (95%CI: 0.653~0.767, P<0.001), 0.606 (95%CI: 0.544~0.668, P=0.001), and 0.748 (95%CI: 0.694~0.802, P<0.001), respectively. Conclusions Moderate-to-severe CAS exacerbates total CSVD burden and may serve as a potential predictor of moderate-to-severe CSVD burden.

       

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