title: [Distribution of cerebral vascular hemodynamic indexes].
abstract: OBJECTIVE
  To describe the distribution of cerebral vascular hemodynamic indexes (CVHI).
  
  
  METHODS
  A number of 25,355 age 35 and over were selected in the Northeast China by cluster sampling. CVHI were checked during baseline survey and were followed to see the occurrence of stroke. Distribution of CVHI among non-stroke population, individuals prior to the onset of stroke and patients with stroke were described.
  
  
  RESULTS
  The CVHI accumulative score, V(mean), V(max) and V(min) were dramatically decreasing, but RV, Zcv, WV and DR were significantly increasing as age increased. V(max), RV and CP were significantly higher in males but WV was lower than that of females. The CVHI accumulative score, V(min) and RV were 95.0, 10.23 and 75.8 in non-stroke population, 51.25, 6.71 and 122.72 pre stroke group, and 55.0, 6.78 and 115.89 in patients with stroke respectively. There were significant differences among three groups after controlling of age and sex (P < 0.01).
  
  
  CONCLUSIONS
  Variance of CVHI was closely related to age, and there appeared a significant abnormal of CVHI before and after stroke.
authors.affiliation: Shanghai Institution of Cerebral Vascular Disease, Shanghai 200433, China.
authors.forename: Gui-qing
authors.initials: GQ
authors.lastname: Wang
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.forename: Yi-feng
authors.initials: YF
authors.lastname: Cao
authors.forename: Zuo
authors.initials: Z
authors.lastname: Guo
authors.forename: Feng-ying
authors.initials: FY
authors.lastname: Shen
authors.forename: Yong-ju
authors.initials: YJ
authors.lastname: Yang
authors.forename: Shun-ying
authors.initials: SY
authors.lastname: Fan
authors.forename: Xiao-bin
authors.initials: XB
authors.lastname: Xu
authors.forename: Chun-hong
authors.initials: CH
authors.lastname: Feng
authors.forename: Wen-sheng
authors.initials: WS
authors.lastname: Tian
mesh_terms: D000367:Age Factors; D000368:Aged; D016000:Cluster Analysis; D005260:Female; D006439:Hemodynamics; D006801:Humans; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D020521:Stroke / Q000503:physiopathology*