title: [Analysis of relevant factors of cerebral arteriovenous malformation with hemorrhage].
abstract: OBJECTIVE
  To explore the influencing factors of bleeding in the patients with cerebral arteriovenous malformation (AVM) through observing its angioarchitecture with cerebral digital subtraction angiography (DSA) so as to decipher its hemorrhagic risks.
  
  
  METHODS
  A total of 87 cases of cerebral AVM during the period of 2004-2010 underwent cerebral angiography by digital subtraction angiography. The relationships between bleeding and such factors as the site and size of masses of AVM, the type and site of supplying arteries, the number and pathway of venous drainage, the relationships between AVM and aneurysm in terms of location and venous tumor were determined by univariate analyses and binary Logistic regression with SPSS 18.0.
  
  
  RESULTS
  Univariate analysis indicated that such factors as the site and size of masses, the type and site of supplying arteries, the number venous drainage, the relationships between AVM and aneurysm were positively correlated with hemorrhagic presentation. When stepwise multiple Logistic regression analysis was employed, only the size of AVM, the number of venous drainage and aneurysm were the independent predictors of hemorrhagic presentation.
  
  
  CONCLUSIONS
  The size of masses of AVM, the number of venous drainage and aneurysm are the strong risk predictors for AVM hemorrhage.
authors.affiliation: Department of Neurosurgery, Second Hospital, Shandong University, Jinan, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Ji
authors.forename: Xuan
authors.initials: X
authors.lastname: Ding
authors.forename: Zhi-gang
authors.initials: ZG
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D015901:Angiography, Digital Subtraction; D002533:Cerebral Angiography; D002543:Cerebral Hemorrhage / Q000209:etiology / Q000473:pathology*; D005260:Female; D006801:Humans; D002538:Intracranial Arteriovenous Malformations / Q000000981:diagnostic imaging*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012307:Risk Factors; D055815:Young Adult