Predictors of mortality for patients with COVID-19 and large vessel occlusion.

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Bibliographic Details
Title: Predictors of mortality for patients with COVID-19 and large vessel occlusion.
Authors: Altschul DJ; Department of Neurosurgery Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Esenwa C; Department of Neurology Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Haranhalli N; Department of Neurosurgery Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Unda SR; Department of Neurosurgery Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., de La Garza Ramos R; Department of Neurosurgery Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Dardick J; Albert Einstein College of Medicine, New York, NY, USA., Fernandez-Torres J; Department of Neurosurgery Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Toma A; Department of Neurosurgery Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Labovitz D; Department of Radiology Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Cheng N; Department of Radiology Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Lee SK; Department of Radiology Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Brook A; Department of Radiology Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA., Zampolin R; Department of Radiology Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY, USA.
Source: Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences [Interv Neuroradiol] 2020 Oct; Vol. 26 (5), pp. 623-628. Date of Electronic Publication: 2020 Aug 30.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 9602695 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2385-2011 (Electronic) Linking ISSN: 15910199 NLM ISO Abbreviation: Interv Neuroradiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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