title: Prediction of functional outcome of ischemic stroke patients in northwest China.
abstract: OBJECTIVE
  To identify the clinical factors which predicted the outcome of ischemic stroke patients in northwest China.
  
  
  METHODS
  We retrospectively reviewed 489 consecutive patients with ischemic stroke admitted to the Neurology Department of Xijing Hospital. Demographic, clinical and laboratory data were recorded. Follow-up assessments were performed by telephone interviews or letters. The clinical outcome was assessed by using the modified Rankin Scale (mRS) and categorized as good (score 0-2) or poor (score 3-6) outcomes. Univariate and multivariate logistic regression analyses were performed to explore predictors of ischemic stroke.
  
  
  RESULTS
  The follow-up period was up to 47 months (mean, 28.3 months). Fifty-five patients (11.2%) were lost. Among these 434 patients, 244 (56.2%) patients had good outcome and 190 (43.8%) had poor outcome. The poor outcome was associated with old age (OR: 3.505; CI 95%: 2.100-5.849), lower educational level (OR: 0.686; CI 95%: 0.570-0.825), having stroke history (OR: 2.481; CI 95%: 1.442-4.268), and higher NIHSS total score (OR: 2.619; CI 95%: 1.584-4.330).
  
  
  CONCLUSIONS
  The results suggest that age, the educational level, stroke history, and NIHSS score are useful in the prediction of functional outcome of ischemic stroke in Chinese northwest area.
authors.affiliation: Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
authors.forename: Xuedong
authors.initials: X
authors.lastname: Liu
authors.forename: Yali
authors.initials: Y
authors.lastname: Lv
authors.forename: Bo
authors.initials: B
authors.lastname: Wang
authors.forename: Gang
authors.initials: G
authors.lastname: Zhao
authors.forename: Yongping
authors.initials: Y
authors.lastname: Yan
authors.forename: Dezhong
authors.initials: D
authors.lastname: Xu
mesh_terms: D000367:Age Factors; D000368:Aged; D002544:Cerebral Infarction / Q000175:diagnosis* / Q000401:mortality; D002681:China; D004185:Disability Evaluation; D005260:Female; D015600:Glasgow Coma Scale; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D012720:Severity of Illness Index; D012959:Socioeconomic Factors; D015996:Survival Rate