Optimizing Overall Management Times for Emergency Department Stroke Code Protocols - Lone Star Stroke Research Consortium (P12-13.018)

To identify patterns during stroke codes based on etiology (ischemic stroke, hemorrhagic stroke, and stroke mimics), which could serve as potential opportunities for improvement.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000211395
Primary Topic
Acute Ischemic Stroke Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Overall Management Times for Emergency Department Stroke Code Protocols - Lone Star Stroke Research Consortium (P12-13.018)

Mark P. Goldberg, Nneka L. Ifejika, DaiWai M. Olson, Kim Barker et al.
1 links
Neurology
Acute Ischemic Stroke Management
article

Optimizing Overall Management Times for Emergency Department Stroke Code Protocols - Lone Star Stroke Research Consortium (P12-13.018)

Mark P. Goldberg, Nneka L. Ifejika, DaiWai M. Olson, Kim Barker, Sean I. Savitz, Mehari Gebreyohanns, Steven Warach, Suzanne Stone, Salvador Cruz‐Flores, Y. J. Kim, Erica Jones, Sidarrth Prasad
article en

Abstract

To identify patterns during stroke codes based on etiology (ischemic stroke, hemorrhagic stroke, and stroke mimics), which could serve as potential opportunities for improvement.

NeurologyVol. 104(7_Supplement_1)
Texas Tech University (US), The University of Texas at San Antonio Health Science Center (US), Southwestern Medical Center (US), Southwestern Medical Center (US), The University of Texas at Austin (US), The University of Texas Southwestern Medical Center (US), The University of Texas Health Science Center at Houston (US), Texas Tech University Health Sciences Center (US)
Openalex Percentile: Top 90%
Acute Ischemic Stroke Management
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