title: Validation of the RRE-90 Scale to Predict Stroke Risk after Transient Symptoms with Infarction: A Prospective Cohort Study.
abstract: OBJECTIVE
  The risk of stroke after a transient ischemic attack (TIA) for patients with a positive diffusion-weighted image (DWI), i.e., transient symptoms with infarction (TSI), is much higher than for those with a negative DWI. The aim of this study was to validate the predictive value of a web-based recurrence risk estimator (RRE; http://www.nmr.mgh.harvard.edu/RRE/) of TSI.
  
  
  METHODS
  Data from the prospective hospital-based TIA database of the First Affiliated Hospital of Zhengzhou University were analyzed. The RRE and ABCD2 scores were calculated within 7 days of symptom onset. The predictive outcome was ischemic stroke occurrence at 90 days. The receiver-operating characteristics curves were plotted, and the predictive value of the two models was assessed by computing the C statistics.
  
  
  RESULTS
  A total of 221 eligible patients were prospectively enrolled, of whom 46 (20.81%) experienced a stroke within 90 days. The 90-day stroke risk in high-risk TSI patients (RRE ≥4) was 3.406-fold greater than in those at low risk (P <0.001). The C statistic of RRE (0.681; 95% confidence interval [CI], 0.592-0.771) was statistically higher than that of ABCD2 score (0.546; 95% CI, 0.454-0.638; Z = 2.115; P = 0.0344) at 90 days.
  
  
  CONCLUSIONS
  The RRE score had a higher predictive value than the ABCD2 score for assessing the 90-day risk of stroke after TSI.
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Song
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Lulu
authors.initials: L
authors.lastname: Pei
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Fang
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Lu
authors.initials: L
authors.lastname: Zhao
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Yuanyuan
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Neurology, the Sichuan Provincial People's Hospital, Chengdu, Sichuan Province, China.
authors.forename: Song
authors.initials: S
authors.lastname: Tan
authors.affiliation: Department of Neurology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
authors.forename: Yuming
authors.initials: Y
authors.lastname: Xu
mesh_terms: D000368:Aged; D019540:Area Under Curve; D015331:Cohort Studies; D016208:Databases, Factual; D005260:Female; D006801:Humans; D002546:Ischemic Attack, Transient / Q000150:complications / Q000175:diagnosis*; D053208:Kaplan-Meier Estimate; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000150:complications / Q000175:diagnosis*; D011237:Predictive Value of Tests; D016016:Proportional Hazards Models; D011446:Prospective Studies; D012372:ROC Curve; D012307:Risk Factors; D020521:Stroke / Q000453:epidemiology / Q000209:etiology* / Q000401:mortality