title: [Validation of ABCD3 score in the predication of stroke risk after transient ischemic attack].
abstract: Objective To explore the evaluation of ABCD(3) score in the prediction of stroke risk after transient ischemic attack and the influencing factors of early stroke risks.
  
  
  METHODS
  From October 2010 to September 2012, the data were prospectively collected from patients with transient ischemic attack according to the World Health Organization time-based criteria. ABCD(2) and ABCD(3) scores were available within 7 days of index transient ischemic attack. The predictive outcome was stroke occurrence at 90 days. Risks of stroke stratified according to the score were analysed by Logistic regression. And ABCD(2) and ABCD(3) model were compared by AUROCC.
  
  
  RESULTS
  Among 321 eligible patients, 4 cases were lost to follow-up. There were 38(11.8%) patients with ischemic stroke during a 90-day follow-up, including 22(57.9%) males, 16(42.1%) females. There were no occurrence of death, no hemorrhagic stroke. Multivariate analysis revealed that dual TIA (OR = 4.116, 95%CI 1.284-3.195) , history of stroke (OR = 4.022, 95%CI 1.472-10.944) and unilateral weakness (OR = 3.117, 95%CI 1.222-7.948) were the risk factors of early stroke. The ABCD(3) score (0.733, 95% CI,0.0.681-0.780) was statistically higher than that of ABCD(2) score (0.674, 95%CI, 0.619-0.725) (P < 0.05).
  
  
  CONCLUSIONS
  ABCD(3) may effectively predict early risk of stroke after TIA.
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Yuan-yuan
authors.initials: YY
authors.lastname: Wang
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Song
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Fang
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Lu
authors.initials: L
authors.lastname: Zhao
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Song
authors.initials: S
authors.lastname: Tan
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Ya-fang
authors.initials: YF
authors.lastname: Xu
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China.
authors.forename: Yu-ming
authors.initials: YM
authors.lastname: Xu
authors.affiliation: Department of Neurology, First Affiliated Hospital, Zhengzhou University, Zhengzhou 450052, China. Email: sunshilei18@hotmail.com.
authors.forename: Shi-lei
authors.initials: SL
authors.lastname: Sun
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D002546:Ischemic Attack, Transient / Q000150:complications* / Q000453:epidemiology*; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D020521:Stroke / Q000453:epidemiology*