Linked Life Data

15178824

Source:http://linkedlifedata.com/resource/pubmed/id/15178824

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2004-7-23
pubmed:abstractText
BACKGROUND AND PURPOSE: We have previously reported that several "silent" infarcts found on magnetic resonance imaging (MRI) were a risk factor for stroke. Several recent reports have shown that high white matter grade (WMG) and increasing WMG over time were risk factors for stroke. We tested the hypothesis that high WMG > or =2 was a predictor of risk for stroke, independent of other risk factors. METHODS: We examined the extent of white matter hyperintensity on cranial MRI of 3293 participants from the Cardiovascular Health Study (CHS). The degree of white matter hyperintensity was graded from least severe (grade=0) to most severe (grade=9). Participants were followed-up for an average of 7 years for the occurrence of a stroke. Clinical stroke diagnoses were based on hospital records reviewed by an adjudication committee expert in stroke diagnosis. During this period, 278 strokes occurred. Results The relative risk of stroke increased significantly as the WMG increased. The risk of stroke was 2.8% per year for participants with high WMG (grades > or =5), compared with only 0.6% for participants with grades 0 to 1.Conclusions The risk of stroke with high WMG is independent of traditional stroke risk factors and persists when controlling for MRI infarcts, another subclinical imaging marker of cerebrovascular disease. Assessment of white matter disease may be valuable in assessing future risk of stroke.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1524-4628
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
35
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1821-5
pubmed:dateRevised
2009-11-3
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
White matter hyperintensity on cranial magnetic resonance imaging: a predictor of stroke.
pubmed:affiliation
Department of Epidemiology, University of Pittsburgh, 130 N. Bellefield Avenue, Room 550, Pittsburgh, PA 15213, USA. KullerL@edc.pitt.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.