title: [Study on a test of screening to predict stroke-using cerebral vascular hemodynamic indexes].
abstract: OBJECTIVE
  To evaluate efficacy and optimal cut-off-point through cerebral vascular hemodynamic indexes (CVHI) examination to predict stroke.
  
  
  METHODS
  A number of 20,333 people at 35 years old and over were checked by CVHI and accumulative score was calculated according to the value of detected indexes. Risk factors of stroke were investigated simultaneously. One hundred and sixty-eight patients with stroke occurred during 4-year following up. Typical syndromes and signs stroke were used as golden standard to evaluate screening efficacy of CVHI.
  
  
  RESULTS
  Score of optimal cut-off-point of cerebral vascular hemodynamic indexes was under 75 in ROC curve analyses. Sensitivity, specificity, accuracy, positive and negative predictive values, positive and negative likelihood ratios as well as Youden's index for predicting stroke within 4 years after examination were found to be 87.50%, 67.70%, 67.86%, 2.21%, 99.85%, 2.71, 0.18 and 0.55 respectively. Sensitivity and positive predict values for predicting cerebral vascular thrombosis were superior to predicting cerebral hemorrhage. Positive predicting value in risk exposure population was higher than that of overall population. Coefficiency of variation of cerebral vascular hemodynamic examination was 4.03%. The agreement rate of examination between two physicians was 97.62% and Kappa value was 0.94.
  
  
  CONCLUSIONS
  The score of optimal cut-off-point of cerebral vascular hemodynamic indexes examination was 75. Both Efficacy and reliability for predicting stroke seemed to be good, especially for predicting cerebral vascular thrombosis.
authors.affiliation: Shanghai Institute of Cerebral Vascular Diseases Prevention and Cure, Shanghai 200433, China.
authors.forename: Jiuyi
authors.initials: J
authors.lastname: Huang
authors.forename: Zuo
authors.initials: Z
authors.lastname: Guo
authors.forename: Fengying
authors.initials: F
authors.lastname: Shen
authors.forename: Yongju
authors.initials: Y
authors.lastname: Yang
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
authors.forename: Shunying
authors.initials: S
authors.lastname: Fan
authors.forename: Bosheng
authors.initials: B
authors.lastname: Yang
authors.forename: Jianmin
authors.initials: J
authors.lastname: Lin
authors.forename: Yifeng
authors.initials: Y
authors.lastname: Cao
authors.forename: Xiaobin
authors.initials: X
authors.lastname: Xu
authors.forename: Chunhong
authors.initials: C
authors.lastname: Feng
authors.forename: Wensheng
authors.initials: W
authors.lastname: Tian
authors.forename: Guiqing
authors.initials: G
authors.lastname: Wang
mesh_terms: D000328:Adult; D000368:Aged; D001921:Brain / Q000503:physiopathology*; D005260:Female; D006439:Hemodynamics; D006801:Humans; D008297:Male; D008875:Middle Aged; D020521:Stroke / Q000175:diagnosis* / Q000503:physiopathology