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Optimizing Prediction Scores for Poor Outcome After Intra-Arterial Therapy in Anterior Circulation Acute Ischemic Stroke
Author(s) -
Amrou Sarraj,
Karen C. Albright,
Andrew D. Barreto,
Amelia K. Boehme,
Clark Sitton,
Jeanie Choi,
Steven L Lutzker,
Chung-Huan J. Sun,
Wafi Bibars,
Claude Nguyen,
Osman Mir,
Farhaan Vahidy,
Tzu-Ching Wu,
George Α. Lopez,
Nicole R. Gonzales,
Randall C. Edgell,
Sheryl MartinSchild,
Hen Hallevi,
Peng Roc Chen,
Mark Dannenbaum,
Jeffrey L. Saver,
David S. Liebeskind,
Raul G. Nogueira,
Rishi Gupta,
James C. Grotta,
Sean I. Savitz
Publication year - 2013
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.113.001050
Subject(s) - medicine , thrombolysis , modified rankin scale , confidence interval , odds ratio , middle cerebral artery , stroke (engine) , logistic regression , cardiology , cerebral infarction , internal carotid artery , surgery , ischemia , ischemic stroke , myocardial infarction , mechanical engineering , engineering
Intra-arterial therapy (IAT) promotes recanalization of large artery occlusions in acute ischemic stroke. Despite high recanalization rates, poor clinical outcomes are common. We attempted to optimize a score that combines clinical and imaging variables to more accurately predict poor outcome after IAT in anterior circulation occlusions.

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