title: The potent different risk factors for cerebral infarction in young patients with and without type 2 diabetes: subanalysis of the Young Cerebral Infarction Study (YCIS).
abstract: BACKGROUND
  To compare risk factors, stroke characteristics, and short-term prognosis between diabetic and nondiabetic young ischemic stroke patients to provide information for patient management, counseling, and future research in these patient groups.
  
  
  METHODS
  All consecutive patients between the ages of 18 and 45 years with first-ever cerebral infarction during 2001-2010 were recruited to participate in the study. Using multivariate logistic regression modeling, demographic characteristics, cerebrovascular risk factors, clinical events, stroke subtypes, and outcome in ischemic stroke patients with and without diabetes were compared.
  
  
  RESULTS
  Logistic regression analysis adjusted for confounders confirmed the following independent susceptibility markers: in a substudy of young patients with and without diabetes, the predictors of short-term outcome were more likely to be TOAST subtype, initial stroke severity and serum uric acid, and age at onset, dyslipidemia, initial stroke severity and serum fibron levels correlate with a higher risk for incident stroke in young with diabetes.
  
  
  CONCLUSIONS
  Our findings suggest that diabetic and nondiabetic ischemic stroke patients exhibit a distinct risk-factor and etiologic profile and may help clinicians to assess prognosis more accurately.
authors.affiliation: Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and The Ministry of Education of China, Institute of Neuroscience and The Second Affiliated Hospital of GuangZhou Medical University, 250# Changgang east Road, GuangZhou, 510260 Guangdong Province, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Zhang
authors.forename: Cong
authors.initials: C
authors.lastname: Gao
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Hou
authors.forename: Jianrui
authors.initials: J
authors.lastname: Yin
authors.forename: Longchang
authors.initials: L
authors.lastname: Xie
authors.forename: Shuxiang
authors.initials: S
authors.lastname: Pu
authors.forename: Yonghong
authors.initials: Y
authors.lastname: Yi
authors.forename: Qingchun
authors.initials: Q
authors.lastname: Gao
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D002544:Cerebral Infarction / Q000175:diagnosis / Q000453:epidemiology*; D016009:Chi-Square Distribution; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D003924:Diabetes Mellitus, Type 2 / Q000175:diagnosis / Q000453:epidemiology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D010351:Patient Discharge; D011379:Prognosis; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D055815:Young Adult