title: Distinguishing intracerebral hemorrhages caused by arteriovenous malformations.
abstract: BACKGROUND
  There is a shortage of data addressing the clinical characteristics of patients with arteriovenous malformations (AVMs) who present with intracerebral hemorrhages (ICH).
  
  
  METHODS
  A retrospective cohort study of members of a large, pre-paid health care program was conducted to identify factors that distinguish ICH secondary to cerebral AVMs from all other causes. Univariate and multivariate analysis was performed using Student's t test, Wilcoxon rank-sum test, and logistic regression.
  
  
  RESULTS
  Patients with an underlying AVM were younger and more likely to be female, non-smokers with lower blood pressures, lower cholesterol, and lower white blood cell counts on presentation.
  
  
  CONCLUSIONS
  These clinical characteristics may be useful in defining potential risk factors in future prospective studies as well as targeting candidates for additional imaging studies after ICH with no apparent etiology.
authors.affiliation: Department of Neurology, University of California at San Francisco, California 94143-0114, USA. nko@itsa.ucsf.edu
authors.forename: N U
authors.initials: NU
authors.lastname: Ko
authors.forename: S C
authors.initials: SC
authors.lastname: Johnston
authors.forename: W L
authors.initials: WL
authors.lastname: Young
authors.forename: V
authors.initials: V
authors.lastname: Singh
authors.forename: A L
authors.initials: AL
authors.lastname: Klatsky
mesh_terms: D000328:Adult; D000367:Age Factors; D000704:Analysis of Variance; D001794:Blood Pressure / Q000502:physiology; D002543:Cerebral Hemorrhage / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology*; D002784:Cholesterol / Q000097:blood; D015331:Cohort Studies; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D002538:Intracranial Arteriovenous Malformations / Q000150:complications*; D007958:Leukocyte Count; D008279:Magnetic Resonance Imaging; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D014057:Tomography, X-Ray Computed
chemical_list: D002784:Cholesterol