| Addition of brain infarction to the ABCD2 Score (ABCD2I): a collaborative analysis of unpublished data on 4574 patients. | |
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MedLine Citation:
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PMID: 20634480 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND AND PURPOSE: The ABCD system was developed to predict early stroke risk after transient ischemic attack. Incorporation of brain imaging findings has been suggested, but reports have used inconsistent methods and been underpowered. We therefore performed an international, multicenter collaborative study of the prognostic performance of the ABCD(2) score and brain infarction on imaging to determine the optimal weighting of infarction in the score (ABCD(2)I). METHODS: Twelve centers provided unpublished data on ABCD(2) scores, presence of brain infarction on either diffusion-weighted imaging or CT, and follow-up in cohorts of patients with transient ischemic attack diagnosed by World Health Organization criteria. Optimal weighting of infarction in the ABCD(2)I score was determined using area under the receiver operating characteristic curve analyses and random effects meta-analysis. RESULTS: Among 4574 patients with TIA, acute infarction was present in 884 (27.6%) of 3206 imaged with diffusion-weighted imaging and new or old infarction was present in 327 (23.9%) of 1368 imaged with CT. ABCD(2) score and presence of infarction on diffusion-weighted imaging or CT were both independently predictive of stroke (n=145) at 7 days (after adjustment for ABCD(2) score, OR for infarction=6.2, 95% CI=4.2 to 9.0, overall; 14.9, 7.4 to 30.2, for diffusion-weighted imaging; 4.2, 2.6 to 6.9, for CT; all P<0.001). Incorporation of infarction in the ABCD(2)I score improved predictive power with an optimal weighting of 3 points for infarction on CT or diffusion-weighted imaging. Pooled areas under the curve increased from 0.66 (0.53 to 0.78) for the ABCD(2) score to 0.78 (0.72 to 0.85) for the ABCD(2)I score. CONCLUSIONS: In secondary care, incorporation of brain infarction into the ABCD system (ABCD(2)I score) improves prediction of stroke in the acute phase after transient ischemic attack. |
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Authors:
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Matthew F Giles; Greg W Albers; Pierre Amarenco; Murat M Arsava; Andrew Asimos; Hakan Ay; David Calvet; Shelagh Coutts; Brett L Cucchiara; Andrew M Demchuk; S Claiborne Johnston; Peter J Kelly; Anthony S Kim; Julien Labreuche; Philippa C Lavallee; Jean-Louis Mas; Aine Merwick; Jean Marc Olivot; Francisco Purroy; Wayne D Rosamond; Rossella Sciolla; Peter M Rothwell |
Publication Detail:
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Type: Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't Date: 2010-07-15 |
Journal Detail:
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Title: Stroke; a journal of cerebral circulation Volume: 41 ISSN: 1524-4628 ISO Abbreviation: Stroke Publication Date: 2010 Sep |
Date Detail:
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Created Date: 2010-08-31 Completed Date: 2010-09-22 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0235266 Medline TA: Stroke Country: United States |
Other Details:
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Languages: eng Pagination: 1907-13 Citation Subset: IM |
Affiliation:
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Stroke Prevention Research Unit (M.F.G., P.M.R.), National Institute for Health Research Biomedical Research Centre, Oxford, UK. matthew.giles@clneuro.ox.ac.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain Infarction
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diagnosis* Female Humans Ischemic Attack, Transient / diagnosis* Male Prognosis Risk Risk Assessment Risk Factors Stroke / diagnosis* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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