title: Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study.
abstract: OBJECTIVE
  Our aim was to identify potential risk factors for and clinical manifestations of white matter findings on cranial MRI in elderly people.
  
  
  METHODS
  Medicare eligibility lists were used to obtain a representative sample of 5888 community-dwelling people aged 65 years or older. Correlates of white matter findings were sought among 3301 participants who underwent MRI scanning and denied a history of stroke or transient ischemic attack. Participants underwent extensive standardized evaluations at baseline and on follow-up, including standard questionnaires, physical examination, multiple blood tests, electrocardiogram, pulmonary function tests, carotid sonography, and M-mode echocardiography. Neuroradiologists graded white matter findings from 0 (none) to 9 (maximal) without clinical information.
  
  
  RESULTS
  Many potential risk factors were related to the white matter grade, but in the multivariate model the factors significantly (all P < .01) and independently associated with increased grade were greater age, clinically silent stroke on MRI, higher systolic blood pressure, lower forced expiratory volume in 1 second (FEV1), and income less than $50,000 per year. If excluded, FEV1 was replaced in the model by female sex, history of smoking, and history of physician-diagnosed hypertension at the baseline examination. Many clinical features were correlated with the white matter grade, especially those indicating impaired cognitive and lower extremity function.
  
  
  CONCLUSIONS
  White matter findings were significantly associated with age, silent stroke, hypertension, FEV1, and income. The white matter findings may not be considered benign because they are associated with impaired cognitive and lower extremity function.
authors.affiliation: Department of Neurology, University of Washington, Seattle, USA. wl@u.washington.edu
authors.forename: W T
authors.initials: WT
authors.lastname: Longstreth
authors.forename: T A
authors.initials: TA
authors.lastname: Manolio
authors.forename: A
authors.initials: A
authors.lastname: Arnold
authors.forename: G L
authors.initials: GL
authors.lastname: Burke
authors.forename: N
authors.initials: N
authors.lastname: Bryan
authors.forename: C A
authors.initials: CA
authors.lastname: Jungreis
authors.forename: P L
authors.initials: PL
authors.lastname: Enright
authors.forename: D
authors.initials: D
authors.lastname: O'Leary
authors.forename: L
authors.initials: L
authors.lastname: Fried
mesh_terms: D000367:Age Factors; D000368:Aged; D000375:Aging / Q000473:pathology*; D001794:Blood Pressure; D001921:Brain / Q000473:pathology; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000473:pathology*; D002561:Cerebrovascular Disorders / Q000453:epidemiology / Q000473:pathology*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D002546:Ischemic Attack, Transient / Q000453:epidemiology / Q000473:pathology*; D008279:Magnetic Resonance Imaging; D008297:Male; D015999:Multivariate Analysis; D012307:Risk Factors; D012737:Sex Factors