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Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study
The coronavirus disease 2019 (COVID-19) pandemic has affected the number of stroke activations, admission of patients with various types of strokes, the rate and timely administration of reperfusion therapy, and all types of time-based stroke-related quality assessment metrics. In this study, we des...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289718/ https://www.ncbi.nlm.nih.gov/pubmed/37363610 http://dx.doi.org/10.1097/MS9.0000000000000722 |
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author | Gajurel, Bikram P. Giri, Subarna Tamrakar, Parishma Pandeya, Anupama Gautam, Niraj Shrestha, Aashish Karn, Ragesh Rajbhandari, Reema Ojha, Rajeev |
author_facet | Gajurel, Bikram P. Giri, Subarna Tamrakar, Parishma Pandeya, Anupama Gautam, Niraj Shrestha, Aashish Karn, Ragesh Rajbhandari, Reema Ojha, Rajeev |
author_sort | Gajurel, Bikram P. |
collection | PubMed |
description | The coronavirus disease 2019 (COVID-19) pandemic has affected the number of stroke activations, admission of patients with various types of strokes, the rate and timely administration of reperfusion therapy, and all types of time-based stroke-related quality assessment metrics. In this study, we describe the different types of strokes, different delays in seeking and completing treatment occurring during the second wave of the COVID-19 pandemic, and predictors of outcome at 3 months follow-up. MATERIALS AND METHODS: This is a single-centered prospective cross-sectional study carried out from May 2021 to November 2021, enrolling patients with stroke. Data collected were demographic characteristics, stroke types and their outcomes, and different types of prehospital delays. RESULTS: A total of 64 participants were included in the study with a mean age of 60.25±15.31 years. Ischemic stroke was more common than hemorrhagic stroke. The median time of arrival to the emergency room of our center was 24 h. The most common cause of prehospital delay was found to be delays in arranging vehicles. The median duration of hospital stays [odds ratio (OR)=0.72, P<0.05] and baseline NIHSS (National Institute of Health Stroke Scale) score (OR=0.72, P<0.05) were found to be a predictor of good outcomes at 3 months follow-up on binary logistic regression. CONCLUSION: The factors that cause the delayed transfer to the hospital and onset of treatment should be addressed. Patient counseling about the likely prognosis can be done after evaluating the probable outcome based on the NIHSS score and median duration of hospital stay. Nevertheless, mechanisms should be developed to reduce the prehospital delay at the ground level as well as at the policy level. |
format | Online Article Text |
id | pubmed-10289718 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-102897182023-06-24 Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study Gajurel, Bikram P. Giri, Subarna Tamrakar, Parishma Pandeya, Anupama Gautam, Niraj Shrestha, Aashish Karn, Ragesh Rajbhandari, Reema Ojha, Rajeev Ann Med Surg (Lond) Original Research The coronavirus disease 2019 (COVID-19) pandemic has affected the number of stroke activations, admission of patients with various types of strokes, the rate and timely administration of reperfusion therapy, and all types of time-based stroke-related quality assessment metrics. In this study, we describe the different types of strokes, different delays in seeking and completing treatment occurring during the second wave of the COVID-19 pandemic, and predictors of outcome at 3 months follow-up. MATERIALS AND METHODS: This is a single-centered prospective cross-sectional study carried out from May 2021 to November 2021, enrolling patients with stroke. Data collected were demographic characteristics, stroke types and their outcomes, and different types of prehospital delays. RESULTS: A total of 64 participants were included in the study with a mean age of 60.25±15.31 years. Ischemic stroke was more common than hemorrhagic stroke. The median time of arrival to the emergency room of our center was 24 h. The most common cause of prehospital delay was found to be delays in arranging vehicles. The median duration of hospital stays [odds ratio (OR)=0.72, P<0.05] and baseline NIHSS (National Institute of Health Stroke Scale) score (OR=0.72, P<0.05) were found to be a predictor of good outcomes at 3 months follow-up on binary logistic regression. CONCLUSION: The factors that cause the delayed transfer to the hospital and onset of treatment should be addressed. Patient counseling about the likely prognosis can be done after evaluating the probable outcome based on the NIHSS score and median duration of hospital stay. Nevertheless, mechanisms should be developed to reduce the prehospital delay at the ground level as well as at the policy level. Lippincott Williams & Wilkins 2023-04-27 /pmc/articles/PMC10289718/ /pubmed/37363610 http://dx.doi.org/10.1097/MS9.0000000000000722 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nd/4.0/This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0 (https://creativecommons.org/licenses/by-nd/4.0/) , which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0/ (https://creativecommons.org/licenses/by-nd/4.0/) |
spellingShingle | Original Research Gajurel, Bikram P. Giri, Subarna Tamrakar, Parishma Pandeya, Anupama Gautam, Niraj Shrestha, Aashish Karn, Ragesh Rajbhandari, Reema Ojha, Rajeev Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study |
title | Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study |
title_full | Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study |
title_fullStr | Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study |
title_full_unstemmed | Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study |
title_short | Stroke patterns and outcomes during the second wave of COVID-19 pandemic: a cross-sectional study |
title_sort | stroke patterns and outcomes during the second wave of covid-19 pandemic: a cross-sectional study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289718/ https://www.ncbi.nlm.nih.gov/pubmed/37363610 http://dx.doi.org/10.1097/MS9.0000000000000722 |
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