title: Demographic and clinical predictors of leptomeningeal collaterals in stroke patients.
abstract: BACKGROUND
  Leptomeningeal collaterals improve outcome after stroke, including reduction of hemorrhagic complications after thrombolytic or endovascular therapy, smaller infarct size, and reduction in symptoms at follow-up evaluation. The purpose of this study was to determine the demographic and clinical variables that are associated with a greater degree of cerebral collaterals.
  
  
  METHODS
  Clinical data of patients presenting with M1 occlusions of the middle cerebral artery (MCA) and associated computed tomography angiography studies after admission from 3 separate institutions were retrospectively compiled (n = 82). Occluded hemispheres were evaluated against the intact hemisphere for degree of collateralization in the MCA territory. Regression analysis of variance was conducted between clinical variables and collateral score to determine which variables associate with greater collateral development.
  
  
  RESULTS
  Smaller infarct size corresponded to greater collateral scores, whereas older age and statin use corresponded to lower collateral scores (P < .001).
  
  
  CONCLUSIONS
  Cerebral collateralization is influenced by age and statin use and influences infarct size.
authors.affiliation: Neuroradiology Division, Department of Radiology, University of Virginia, Charlottesville, Virginia.
authors.forename: Nitin
authors.initials: N
authors.lastname: Malik
authors.affiliation: Neuroradiology Division, Department of Radiology, University of Virginia, Charlottesville, Virginia.
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Hou
authors.affiliation: Neuroradiology Division, Department of Radiology, University of Cincinnati, Cincinnati, Ohio.
authors.forename: Achala
authors.initials: A
authors.lastname: Vagal
authors.affiliation: Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
authors.forename: James
authors.initials: J
authors.lastname: Patrie
authors.affiliation: Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.
authors.forename: Wenjun
authors.initials: W
authors.lastname: Xin
authors.affiliation: Department of Neurology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
authors.forename: Patrik
authors.initials: P
authors.lastname: Michel
authors.affiliation: Department of Neurology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
authors.forename: Ashraf
authors.initials: A
authors.lastname: Eskandari
authors.affiliation: Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
authors.forename: Tudor
authors.initials: T
authors.lastname: Jovin
authors.affiliation: Neuroradiology Division, Department of Radiology, University of Virginia, Charlottesville, Virginia; Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland. Electronic address: Max.Wintermark@gmail.com.
authors.forename: Max
authors.initials: M
authors.lastname: Wintermark
mesh_terms: D000368:Aged; D000375:Aging / Q000473:pathology*; D020520:Brain Infarction / Q000503:physiopathology; D002533:Cerebral Angiography; D003097:Collateral Circulation; D005260:Female; D006801:Humans; D019161:Hydroxymethylglutaryl-CoA Reductase Inhibitors / Q000008:administration & dosage*; D008297:Male; D008875:Middle Aged; D020768:Middle Cerebral Artery / Q000000981:diagnostic imaging* / Q000473:pathology; D012189:Retrospective Studies; D012307:Risk Factors; D020521:Stroke / Q000000981:diagnostic imaging / Q000473:pathology / Q000503:physiopathology*; D014057:Tomography, X-Ray Computed
chemical_list: D019161:Hydroxymethylglutaryl-CoA Reductase Inhibitors
keywords: Predictors of collaterals in stroke; collaterals; computed tomography angiography; prediction; stroke