颈动脉比值与烟雾病患者大脑后动脉病变累及的相关性研究OACSTPCD
Correlation between diameter ratio of internal carotid artery to common carotid artery and posterior cerebral artery involvement in Moyamoya disease
目的 探讨颈动脉比值(DRICA/CCA)与烟雾病患者大脑后动脉(PCA)病变累及的相关性.方法 回顾性连续纳入2017 年12 月至2021 年12 月吉林市人民医院神经内科、南京医科大学附属常州第二人民医院神经外科通过经皮动脉插管行DSA诊断为MMD的住院患者85 例.根据患者DSA结果,将符合纳排标准的患者分为PCA病变累及组和PCA病变未累及组.收集两组住院患者的临床资料及影像学资料并进行组间比较,其中临床资料包括性别、年龄、高血压病、糖尿病、高脂血症、吸烟史、脑梗死病史、脑出血病史、抗血小板聚集药物服用史、临床表现(出血型、缺血型、无症状型、混合型);影像学资料包括是否存在后交通动脉开放、铃木分期及DRICA/CCA.并根据铃木分期评估MMD患者的疾病严重程度,进一步将其分为铃木分期≤Ⅲ期(早期)和铃木分期>Ⅲ期(晚期).对符合纳入标准的MMD患者的双侧颈动脉分别测量并计算DRICA/CCA.对于双侧PCA病变累及患者按PCA病变累及较重侧(狭窄率更高侧)纳入;对于单侧PCA病变累及患者按累及侧纳入;对于双侧PCA病变未累及患者按铃木分期较高侧纳入.后交通动脉开放、铃木分期及DRICA/CCA以纳入研究侧别的同侧数据进行统计.将单因素分析中P<0.10 的因素纳入多因素Logistic回归分析,确定MMD患者发生PCA病变累及的独立影响因素.绘制MMD发生PCA病变累及与独立影响因素的受试者工作特征(ROC)曲线,计算曲线下面积(AUC)、最佳截断值、灵敏度和特异度.结果 (1)所有患者中,PCA病变未累及组44 例(51.8%),PCA病变累及组41 例(48.2%).与PCA病变未累及组比较,PCA病变累及组患者中男性占比更高(51.2%比29.6%),差异有统计学意义(P<0.05);余临床资料差异均无统计学意义(均P>0.05).(2)两组患者铃木分期分布差异有统计学意义(P =0.030).相较于PCA病变未累及组,PCA病变累及组DRICA/CCA平均数更小(0.46±0.10 比0.58±0.11),铃木分期>Ⅲ期的患者比例更高(82.9%比52.3%),差异均有统计学意义(均P<0.01).两组的后交通动脉开放比例差异无统计学意义(P>0.05).(3)多因素Logistic回归分析结果显示,DRICA/CCA是MMD患者PCA病变累及的独立影响因素(OR =0.401,95%CI:0.233~0.693,P =0.001).DRICA/CCA预测PCA病变累及的最佳截断值为0.523,AUC为0.785(95%CI:0.689~0.880),敏感度为82.9%,特异度为65.9%.结论 MMD伴有PCA病变累及的患者同侧DRICA/CCA较PCA病变未累及患者更小,DRICA/CCA是同侧PCA病变累及的独立影响因素,对于MMD患者同侧PCA病变累及有一定的预测价值.
Objective To investigate the correlation between the diameter ratio of the internal carotid artery to the common carotid artery(DRICA/CCA)and posterior cerebral artery(PCA)involvement in patients with Moyamoya disease.Methods This study retrospectively included 85 consecutive inpatient patients with Moyamoya disease diagnosed by whole brain DSA in the the Department of Neurology of Jilin People's Hospital and Department of Neurosurgery of Changzhou Second People's Hospital affiliated to Nanjing Medical University from December 2017 to December 2021.Based on DSA,the included patients were divided into a PCA involvement group(41 cases)and a non-PCA involvement group(44 cases).Clinical data,including gender,age,hypertension,diabetes mellitus,hyperlipemia,smoking,history of cerebral infarction,history of cerebral hemorrhage,use of platelet aggregation inhibitor,clinical manifestation(hemorrhagic,ischemic,asymptomatic,or mixed type),and imaging characteristics,including the presence of posterior communicating artery,Suzuki staging and DRICA/CCA,were obtained and compared between the two groups.The disease severity was dichotomized according to whether the Suzuki stage is>Ⅲ.For the patients with a bilateral PCA involvement,the side with a more severe PCA involvement was included for further analyses.For the patients with unilateral PCA involvement,the involved side was included,and for the patients without PCA involvement,the side with a higher Suzuki stage was included.The factors with a P<0.10 in the univariable analysis were included in the multivariable Logistic regression analysis for determining the independent indicator of PCA involvement.The received operating characteristic(ROC)curves were obtained and then the area under the curve(AUC),the optimal cutoff,sensitivity,and specificity were calculated.Results(1)Among the 85patients,44(51.8%)had no PCA involvement.Compared to the non-PCA involvement group,the PCA involvement group had a larger proportion of males(51.2%vs.29.6%,P<0.05),while other clinical data were not significantly different between the two groups(all P>0.05).(2)The distribution of the Suzuki stage was significantly different between the two groups(P =0.030).Compared to the non-PCA involvement group,the PCA involvement group had a smaller average DRICA/CCA ratio(0.46±0.10 vs.0.58±0.11)and a higher proportion of cases with a Suzuki stage>Ⅲ(82.9%vs.52.3%;both P<0.01).The presence of posterior communicating artery was not statistically different between the two groups(P>0.05).(3)Multivariate Logistic regression analysis revealed that DRICA/CCA was an independent risk factor of PCA involvement(OR,0.401,95%CI 0.233-0.693,P = 0.001).The optimal cutoff for DRICA/CCA predicting PCA involvement in ROC curve analysis was 0.523,with an AUC of 0.785(95%CI 0.689-0.880),sensitivity of 82.9%,and specificity of 65.9%.Conclusion Patients with Moyamoya disease accompanied by PCA involvement have lower DRICA/CCA on the ipsilateral side,which is independently correlated with PCA involvement.
王志飞;王健;刘芳;高强;周肖东;李顺兰;梁群;苏北;韩斌;刘科峰;邹飞辉
132000 吉林市人民医院神经内科南京医科大学附属常州第二人民医院神经外科132000 吉林市人民医院神经外科
烟雾病大脑后动脉累及颈动脉比值颈动脉管径
Moyamoya diseasePosterior cerebral artery involvementCarotid artery ratioCarotid artery diameter
《中国脑血管病杂志》 2024 (001)
38-45 / 8
吉林省卫生科技能力提升项目(2022LC144);南京医科大学常州医学中心临床项目(CMCC202210)
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