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Alberta Stroke Program Early CT Score Infarct Location Predicts Outcome Following M2 Occlusion

Overview of attention for article published in Frontiers in Neurology, March 2017
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Title
Alberta Stroke Program Early CT Score Infarct Location Predicts Outcome Following M2 Occlusion
Published in
Frontiers in Neurology, March 2017
DOI 10.3389/fneur.2017.00098
Pubmed ID
Authors

Muhib Khan, Grayson L. Baird, Richard P. Goddeau, Brian Silver, Nils Henninger

Abstract

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. 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. Ninety patients with isolated M2 were included in the final analysis. ASPECTS score ≤6 predicted poor outcome in this cohort (sensitivity = 0.591, specificity = 0.838, p < 0.001). Using multiple approaches, we found that infarction in ASPECTS regions M3 and M6 were strongly associated with poor functional status by 90 days. 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.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 7 15%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Other 4 9%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Medicine and Dentistry 16 35%
Neuroscience 11 24%
Biochemistry, Genetics and Molecular Biology 1 2%
Social Sciences 1 2%
Agricultural and Biological Sciences 1 2%
Other 2 4%
Unknown 14 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 March 2017.
All research outputs
#20,410,007
of 22,959,818 outputs
Outputs from Frontiers in Neurology
#8,864
of 11,842 outputs
Outputs of similar age
#268,644
of 307,966 outputs
Outputs of similar age from Frontiers in Neurology
#117
of 148 outputs
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