Alberta Stroke Program Early CT Score Infarct Location Predicts Outcome Following M2 Occlusion
UMass Chan Affiliations
Millennium PhD Program, Graduate School of Biomedical SciencesDepartment of Neurology
Document Type
Journal ArticlePublication Date
2017-03-14Keywords
Alberta Stroke Program Early CT ScoreM2 occlusions
outcome
stroke
thrombolysis
Nervous System Diseases
Neurology
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Show full item recordAbstract
BACKGROUND: Although it is generally thought that patients with distal middle cerebral artery (M2) occlusion have a favorable outcome, it has previously been demonstrated that a substantial minority will have a poor outcome by 90 days. We sought to determine whether assessing the Alberta Stroke Program Early CT Score (ASPECTS) infarct location allows for identifying patients at risk for a poor 90-day outcome. METHODS: We retrospectively analyzed patients with isolated acute M2 occlusion admitted to a single academic center between January 2010 and August 2012. Infarct regions were defined according to ASPECTS system on the initial head computed tomography. Discriminant function analysis was used to define specific ASPECTS regions that are predictive of the 90-day functional outcome as defined as a modified Rankin Scale score of 3-6. In addition, logistic regression was used to model the relationship between each individual ASPECT region with poor outcome; for evaluation and comparison, odds ratios, c-statistics, and Akaike information criterion values were estimated for each region. RESULTS: Ninety patients with isolated M2 were included in the final analysis. ASPECTS score CONCLUSION: Infarction in ASPECTS regions M3 and M6 are key predictors of functional outcome following isolated distal M2 occlusion. These findings will be helpful in stratifying outcomes if validated in future studies.Source
Front Neurol. 2017 Mar 14;8:98. doi: 10.3389/fneur.2017.00098. eCollection 2017. Link to article on publisher's siteDOI
10.3389/fneur.2017.00098Permanent Link to this Item
http://hdl.handle.net/20.500.14038/40254PubMed ID
28352248Notes
Co-author Nils Henninger is a doctoral student in the Millennium PhD Program (MPP) in the Graduate School of Biomedical Sciences (GSBS) at UMass Medical School.
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Link to Article in PubMedRights
Copyright: © 2017 Khan, Baird, Goddeau, Silver and Henninger.Distribution License
http://creativecommons.org/licenses/by/4.0/ae974a485f413a2113503eed53cd6c53
10.3389/fneur.2017.00098
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Except where otherwise noted, this item's license is described as Copyright: © 2017 Khan, Baird, Goddeau, Silver and Henninger.