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Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients

BACKGROUND: The code stroke system is designed to identify stroke patients who may benefit from reperfusion therapy. It is essential for emergency physicians to rapidly distinguish true strokes from stroke mimics to activate code stroke. This study aimed to investigate the clinical and neurological...

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Autores principales: Kim, Taekwon, Jeong, Han-Yeong, Suh, Gil Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860772/
https://www.ncbi.nlm.nih.gov/pubmed/35191231
http://dx.doi.org/10.3346/jkms.2022.37.e54
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author Kim, Taekwon
Jeong, Han-Yeong
Suh, Gil Joon
author_facet Kim, Taekwon
Jeong, Han-Yeong
Suh, Gil Joon
author_sort Kim, Taekwon
collection PubMed
description BACKGROUND: The code stroke system is designed to identify stroke patients who may benefit from reperfusion therapy. It is essential for emergency physicians to rapidly distinguish true strokes from stroke mimics to activate code stroke. This study aimed to investigate the clinical and neurological characteristics that can be used to differentiate between stroke and stroke mimics in the emergency department (ED). METHODS: We conducted a retrospective observational study of code stroke patients in the ED from January to December 2019. The baseline characteristics and the clinical and neurological features of stroke mimics were compared with those of strokes. RESULTS: A total of 409 code stroke patients presented to the ED, and 125 (31%) were diagnosed with stroke mimics. The common stroke mimics were seizures (21.7%), drug toxicity (12.0%), metabolic disorders (11.2%), brain tumors (8.8%), and peripheral vertigo (7.2%). The independent predictors of stroke mimics were psychiatric disorders, dizziness, altered mental status, and seizure-like movements, while current smoking, elevated systolic blood pressure, atrial fibrillation on the initial electrocardiogram, hemiparesis as a symptom, and facial palsy as a sign suggested a stroke. In addition, the likelihood of a stroke in code stroke patients tended to increase as the number of accompanying deficits increased from the following set of seven focal neurological deficits: hemiparesis (or upper limb monoparesis), unilateral limb sensory change, facial palsy, dysarthria, aphasia (or neglect), visual field defect, and oculomotor disorder (P < 0.001). CONCLUSION: Some clinical and neurological characteristics have been identified to help differentiate stroke mimics from true stroke. In particular, the likelihood of stroke tended to increase as the number of accompanying focal neurological deficits increased.
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spelling pubmed-88607722022-03-03 Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients Kim, Taekwon Jeong, Han-Yeong Suh, Gil Joon J Korean Med Sci Original Article BACKGROUND: The code stroke system is designed to identify stroke patients who may benefit from reperfusion therapy. It is essential for emergency physicians to rapidly distinguish true strokes from stroke mimics to activate code stroke. This study aimed to investigate the clinical and neurological characteristics that can be used to differentiate between stroke and stroke mimics in the emergency department (ED). METHODS: We conducted a retrospective observational study of code stroke patients in the ED from January to December 2019. The baseline characteristics and the clinical and neurological features of stroke mimics were compared with those of strokes. RESULTS: A total of 409 code stroke patients presented to the ED, and 125 (31%) were diagnosed with stroke mimics. The common stroke mimics were seizures (21.7%), drug toxicity (12.0%), metabolic disorders (11.2%), brain tumors (8.8%), and peripheral vertigo (7.2%). The independent predictors of stroke mimics were psychiatric disorders, dizziness, altered mental status, and seizure-like movements, while current smoking, elevated systolic blood pressure, atrial fibrillation on the initial electrocardiogram, hemiparesis as a symptom, and facial palsy as a sign suggested a stroke. In addition, the likelihood of a stroke in code stroke patients tended to increase as the number of accompanying deficits increased from the following set of seven focal neurological deficits: hemiparesis (or upper limb monoparesis), unilateral limb sensory change, facial palsy, dysarthria, aphasia (or neglect), visual field defect, and oculomotor disorder (P < 0.001). CONCLUSION: Some clinical and neurological characteristics have been identified to help differentiate stroke mimics from true stroke. In particular, the likelihood of stroke tended to increase as the number of accompanying focal neurological deficits increased. The Korean Academy of Medical Sciences 2022-02-08 /pmc/articles/PMC8860772/ /pubmed/35191231 http://dx.doi.org/10.3346/jkms.2022.37.e54 Text en © 2022 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kim, Taekwon
Jeong, Han-Yeong
Suh, Gil Joon
Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients
title Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients
title_full Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients
title_fullStr Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients
title_full_unstemmed Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients
title_short Clinical Differences Between Stroke and Stroke Mimics in Code Stroke Patients
title_sort clinical differences between stroke and stroke mimics in code stroke patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860772/
https://www.ncbi.nlm.nih.gov/pubmed/35191231
http://dx.doi.org/10.3346/jkms.2022.37.e54
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