title: Association of the metabolic syndrome with intracranial atherosclerotic stroke.
abstract: To investigate the impact of metabolic syndrome (MetSD) on the development of intracranial atherosclerotic stroke, the authors evaluated the components of the MetSD in 512 patients with stroke. The MetSD was observed most frequently in patients with intracranial atherosclerosis (p = 0.007). In multiple regression analysis, the MetSD, but not conventional risk factors, was independently associated with intracranial atherosclerosis (p = 0.005). The results suggest that treatment of metabolic abnormalities may be an important prevention strategy for intracranial atherosclerosis.
authors.affiliation: Department of Neurology, School of Medicine, Ajou University, Suwon, South Korea. nmboy@unitel.co.kr
authors.forename: O Y
authors.initials: OY
authors.lastname: Bang
authors.forename: J W
authors.initials: JW
authors.lastname: Kim
authors.forename: J H
authors.initials: JH
authors.lastname: Lee
authors.forename: M A
authors.initials: MA
authors.lastname: Lee
authors.forename: P H
authors.initials: PH
authors.lastname: Lee
authors.forename: I S
authors.initials: IS
authors.lastname: Joo
authors.forename: K
authors.initials: K
authors.lastname: Huh
mesh_terms: D000368:Aged; D015901:Angiography, Digital Subtraction; D001921:Brain / Q000098:blood supply / Q000473:pathology / Q000503:physiopathology; D002545:Brain Ischemia / Q000453:epidemiology / Q000209:etiology / Q000503:physiopathology; D002339:Carotid Arteries / Q000378:metabolism / Q000473:pathology / Q000503:physiopathology; D002536:Cerebral Arteries / Q000378:metabolism / Q000473:pathology / Q000503:physiopathology; D015897:Comorbidity; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D002537:Intracranial Arteriosclerosis / Q000453:epidemiology* / Q000503:physiopathology; D018810:Magnetic Resonance Angiography; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology* / Q000503:physiopathology; D008875:Middle Aged; D011446:Prospective Studies; D012044:Regression Analysis; D012307:Risk Factors; D020521:Stroke / Q000453:epidemiology* / Q000503:physiopathology