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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2020
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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. |
format | Online Article Text |
id | pubmed-7705941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
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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