title: [Combination of cerebral angiography and abdominal angiography in patients with ischemic stroke].
abstract: OBJECTIVE
  To explore the imaging characteristics of cerebral stenosis and peripheral vascular stenosis in patients with ischemic stroke.
  
  
  METHODS
  The data collected from 1 060 patients with ischemic stroke, who were examined by cerebral angiography and abdominal angiography, were retrospectively analyzed. All relevant parameters for atherosclerosis were recorded. Then the correlation of cerebrovascular stenosis with peripheral vascular stenosis was analyzed, and the risk factors of multi-artery stenosis and ulcerative plaque were examined.
  
  
  RESULTS
  Peripheral vascular stenosis was closely correlated to cerebrovascular stenosis (r=0.236, P<0.01). The stenosis degree and quantity of cerebrovascular were positively correlated with peripheral vascular stenosis (r=0.228, P<0.01; r=0.231, P<0.01). The age (OR=1.059, 95% CI: 1.015-1.117; P<0.05), smoking (OR=3.423, 95% CI: 1.524-7.780; P<0.01) and diabetes (OR=3.651, 95% CI: 1.536-8.425; P<0.01) were risk factors for the occurrence of multi-artery stenosis. But the risk factor of ulcerative plaque was not found by single factor analysis.
  
  
  CONCLUSIONS
  The cerebral angiography combined abdominal angiography is an effective method to identify cerebrovascular and peripheral vascular stenosis in the patients with stroke. Age, smoking and diabetes are independent risk factors for multi-artery stenosis in patients with ischemic stroke.
authors.affiliation: Department of Cerebral Vascular, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
authors.forename: Xiang
authors.initials: X
authors.lastname: Wu
authors.affiliation: Department of Cerebral Vascular, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
authors.forename: Yamin
authors.initials: Y
authors.lastname: Liu
mesh_terms: D050197:Atherosclerosis / Q000473:pathology; D002533:Cerebral Angiography; D003251:Constriction, Pathologic; D006801:Humans; D012307:Risk Factors; D020521:Stroke / Q000175:diagnosis*