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Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic

OBJECTIVE: Our study aims to evaluate the impact of a stay-at-home order on stroke metrics during the 2019-novel coronavirus (COVID-19) pandemic. METHODS: Data on baseline characteristics, stroke subtype, initial National Institutes of Health Stroke Scale (NIHSS) score, the time between last known w...

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Autores principales: Rameez, Fnu, McCarthy, Philip, Cheng, Yao, Packard, Laurel M., Davis, Alan T., Wees, Nabil, Khan, Nadeem, Singer, Justin, Khan, Muhib, Min, Jiangyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: S. Karger AG 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705941/
https://www.ncbi.nlm.nih.gov/pubmed/33166950
http://dx.doi.org/10.1159/000512742
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author Rameez, Fnu
McCarthy, Philip
Cheng, Yao
Packard, Laurel M.
Davis, Alan T.
Wees, Nabil
Khan, Nadeem
Singer, Justin
Khan, Muhib
Min, Jiangyong
author_facet Rameez, Fnu
McCarthy, Philip
Cheng, Yao
Packard, Laurel M.
Davis, Alan T.
Wees, Nabil
Khan, Nadeem
Singer, Justin
Khan, Muhib
Min, Jiangyong
author_sort Rameez, Fnu
collection PubMed
description OBJECTIVE: Our study aims to evaluate the impact of a stay-at-home order on stroke metrics during the 2019-novel coronavirus (COVID-19) pandemic. METHODS: Data on baseline characteristics, stroke subtype, initial National Institutes of Health Stroke Scale (NIHSS) score, the time between last known well (LKW) to emergency department (ED) arrival, tissue plasminogen activator (tPA) administration, the involvement of large vessel occlusion (LVO), and whether mechanical thrombectomy (MT) was pursued in patients with acute stroke were extracted from 24 March to 23 April 2020 (the time period of a stay-at-home order was placed due to the COVID-19 pandemic as the study group) at a tertiary care hospital in West Michigan, USA, compared with data from 24 March to 23 April 2019 (control group). RESULTS: Our study demonstrated a reduction in cases of acute ischemic stroke (AIS), although this did not reach statistical significance. However, there was an increase in hemorrhagic stroke (7.5% controls vs. 19.2% study group). The age of stroke patients was significantly younger during the period of the stay-at-home order compared to the control group. We identified a significant overall delay of ED arrivals from LKW in the study group. Additionally, an increased number of AIS patients with LVO in the study group (34.8%) was found compared to the control group (17.5%). A significantly increased number of patients received MT in the study group. Additionally, 11 patients were COVID-19 PCR-positive in the study group, 10 with AIS and only 1 with hemorrhagic stroke. Patients with COVID-19 had a high incidence of atrial fibrillation and hyperlipidemia. One AIS patient with COVID-19 rapidly developed cytotoxic edema with corresponding elevated inflammatory biomarkers. No statistical significance was noted when stroke subtype, LVO, and MT groups were compared. CONCLUSIONS: There was a trend of decreasing AIS admissions during the COVID-19 pandemic. There was also a significantly increased number of AIS patients with LVO who received MT, especially those with COVID-19. We conclude that cytokine storm resulting from SARS-CoV-2 infection might play a role in AIS patients with COVID-19.
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spelling pubmed-77059412020-12-02 Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic Rameez, Fnu McCarthy, Philip Cheng, Yao Packard, Laurel M. Davis, Alan T. Wees, Nabil Khan, Nadeem Singer, Justin Khan, Muhib Min, Jiangyong Cerebrovasc Dis Extra Translational Research in Stroke OBJECTIVE: Our study aims to evaluate the impact of a stay-at-home order on stroke metrics during the 2019-novel coronavirus (COVID-19) pandemic. METHODS: Data on baseline characteristics, stroke subtype, initial National Institutes of Health Stroke Scale (NIHSS) score, the time between last known well (LKW) to emergency department (ED) arrival, tissue plasminogen activator (tPA) administration, the involvement of large vessel occlusion (LVO), and whether mechanical thrombectomy (MT) was pursued in patients with acute stroke were extracted from 24 March to 23 April 2020 (the time period of a stay-at-home order was placed due to the COVID-19 pandemic as the study group) at a tertiary care hospital in West Michigan, USA, compared with data from 24 March to 23 April 2019 (control group). RESULTS: Our study demonstrated a reduction in cases of acute ischemic stroke (AIS), although this did not reach statistical significance. However, there was an increase in hemorrhagic stroke (7.5% controls vs. 19.2% study group). The age of stroke patients was significantly younger during the period of the stay-at-home order compared to the control group. We identified a significant overall delay of ED arrivals from LKW in the study group. Additionally, an increased number of AIS patients with LVO in the study group (34.8%) was found compared to the control group (17.5%). A significantly increased number of patients received MT in the study group. Additionally, 11 patients were COVID-19 PCR-positive in the study group, 10 with AIS and only 1 with hemorrhagic stroke. Patients with COVID-19 had a high incidence of atrial fibrillation and hyperlipidemia. One AIS patient with COVID-19 rapidly developed cytotoxic edema with corresponding elevated inflammatory biomarkers. No statistical significance was noted when stroke subtype, LVO, and MT groups were compared. CONCLUSIONS: There was a trend of decreasing AIS admissions during the COVID-19 pandemic. There was also a significantly increased number of AIS patients with LVO who received MT, especially those with COVID-19. We conclude that cytokine storm resulting from SARS-CoV-2 infection might play a role in AIS patients with COVID-19. S. Karger AG 2020-11-09 /pmc/articles/PMC7705941/ /pubmed/33166950 http://dx.doi.org/10.1159/000512742 Text en Copyright © 2020 by S. Karger AG, Basel http://creativecommons.org/licenses/by-nc-nd/4.0/ This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes as well as any distribution of modified material requires written permission.
spellingShingle Translational Research in Stroke
Rameez, Fnu
McCarthy, Philip
Cheng, Yao
Packard, Laurel M.
Davis, Alan T.
Wees, Nabil
Khan, Nadeem
Singer, Justin
Khan, Muhib
Min, Jiangyong
Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic
title Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic
title_full Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic
title_fullStr Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic
title_full_unstemmed Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic
title_short Impact of a Stay-at-Home Order on Stroke Admission, Subtype, and Metrics during the COVID-19 Pandemic
title_sort impact of a stay-at-home order on stroke admission, subtype, and metrics during the covid-19 pandemic
topic Translational Research in Stroke
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705941/
https://www.ncbi.nlm.nih.gov/pubmed/33166950
http://dx.doi.org/10.1159/000512742
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