国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Cerebellar Arteriovenous Malformations: Clinical Feature, Risk of Hemorrhage and Predictors of Posthemorrhage Outcome.

第一作者:Xianzeng Tong

通讯作者:Jizong Zhao

cerebellar arteriovenous malformations (AVMs) cli

基本信息

  • 负责人:Xianzeng Tong
  • 数据来源: OTHERS
  • 论文编号:OTHERS20190436
  • 发表时间:2016-08-01

2016-08-01

已发表文章

发表杂志:World Neurosurgery

发表类型: Research Article

影响因子(IF): 2.104

PMID: 27178234 Pubmed原文链接 全文下载

主要研究背景及目的

方法

We searched our AVM database at Beijing Tiantan Hospital and identified 225 patients with cerebellar AVMs between the year 2000 and 2015. The clinical presentation and hemorrhage risk were analyzed in all patients. Further analysis of predictors for immediate post-hemorrhage outcome was performed in patients with ruptured AVMs. Post-hemorrhage mRS scores were dichotomized into nonsevere outcome (mRS ≤3) and severe outcome (mRS >3). Univariate and multivariate logistic regression analyses were applied to test the risk factors of hemorrhage and predictors of severe outcome

结论

Cerebellar AVMs have an aggressive nature of hemorrhage. Younger age, single feeding artery and exclusively deep venous drainage were independent risk factors for hemorrhagic presentation. Eloquent location, associated aneurysm and presence of intraventricular hemorrhage may predict severe immediate post-hemorrhage outcome

主要结果

We searched our AVM database at Beijing Tiantan Hospital and identified 225 patients with cerebellar AVMs between the year 2000 and 2015. The clinical presentation and hemorrhage risk were analyzed in all patients. Further analysis of predictors for immediate posthemorrhage outcome was performed in patients with ruptured AVMs. Posthemorrhage modified Rankin Scale (mRS) scores were dichotomized into nonsevere outcome (mRS ?3) and severe outcome (mRS >3). Univariate and multivariate logistic regression analyses were applied to test the risk factors of hemorrhage and predictors of severe outcome.