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Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database

This study aimed to evaluate the effect of COVID-19 outbreak on stroke admission by using a national database. A quasi-experimental, ecological study using the national database of Thailand was conducted. The study period was between January 2017 and August 2020 before and after COVID-19 outbreak st...

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Autores principales: Kongbunkiat, Kannikar, Jumparway, Donlagon, Vorasoot, Nisa, Kasemsap, Narongrit, Sawanyawisuth, Kittisak, Tiamkao, Somsak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595383/
https://www.ncbi.nlm.nih.gov/pubmed/37881349
http://dx.doi.org/10.1080/20008686.2023.2270261
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author Kongbunkiat, Kannikar
Jumparway, Donlagon
Vorasoot, Nisa
Kasemsap, Narongrit
Sawanyawisuth, Kittisak
Tiamkao, Somsak
author_facet Kongbunkiat, Kannikar
Jumparway, Donlagon
Vorasoot, Nisa
Kasemsap, Narongrit
Sawanyawisuth, Kittisak
Tiamkao, Somsak
author_sort Kongbunkiat, Kannikar
collection PubMed
description This study aimed to evaluate the effect of COVID-19 outbreak on stroke admission by using a national database. A quasi-experimental, ecological study using the national database of Thailand was conducted. The study period was between January 2017 and August 2020 before and after COVID-19 outbreak starting from March 2020. Numbers of stroke admission were evaluated before and after the COVID-19 outbreak by an interrupted time series analysis for both pre- and post-COIVD-19 outbreak. There were 381,891 patients admitted throughout Thailand. Of those, 292,382 patients (76.56%) were admitted due to thrombotic stroke followed by hemorrhagic stroke (73,130 patients; 19.15%) and embolic stroke (16,379 patients; 4.29%). During pre-COVID-19 outbreak, all stroke subtypes had an increasing trend with a coefficient of 0.076 (p value < 0.001) for thrombotic stroke, 0.003 (p value < 0.001) for embolic stroke and 0.012 (p value = 0.025) for hemorrhagic stroke. The COVID-19 outbreak had significantly effect on reductions of incidence rates of thrombotic and hemorrhagic stroke with a coefficient of −2.412 (p value < 0.001) and −0.803 (p value = 0.023). The incidence rates of three stroke subtypes were increasing prior to the COVID-19 outbreak. The COVID-19 outbreak significantly impacts hospital admission rates of both thrombotic and hemorrhagic stroke subtypes.
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spelling pubmed-105953832023-10-25 Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database Kongbunkiat, Kannikar Jumparway, Donlagon Vorasoot, Nisa Kasemsap, Narongrit Sawanyawisuth, Kittisak Tiamkao, Somsak Infect Ecol Epidemiol Research Article This study aimed to evaluate the effect of COVID-19 outbreak on stroke admission by using a national database. A quasi-experimental, ecological study using the national database of Thailand was conducted. The study period was between January 2017 and August 2020 before and after COVID-19 outbreak starting from March 2020. Numbers of stroke admission were evaluated before and after the COVID-19 outbreak by an interrupted time series analysis for both pre- and post-COIVD-19 outbreak. There were 381,891 patients admitted throughout Thailand. Of those, 292,382 patients (76.56%) were admitted due to thrombotic stroke followed by hemorrhagic stroke (73,130 patients; 19.15%) and embolic stroke (16,379 patients; 4.29%). During pre-COVID-19 outbreak, all stroke subtypes had an increasing trend with a coefficient of 0.076 (p value < 0.001) for thrombotic stroke, 0.003 (p value < 0.001) for embolic stroke and 0.012 (p value = 0.025) for hemorrhagic stroke. The COVID-19 outbreak had significantly effect on reductions of incidence rates of thrombotic and hemorrhagic stroke with a coefficient of −2.412 (p value < 0.001) and −0.803 (p value = 0.023). The incidence rates of three stroke subtypes were increasing prior to the COVID-19 outbreak. The COVID-19 outbreak significantly impacts hospital admission rates of both thrombotic and hemorrhagic stroke subtypes. Taylor & Francis 2023-10-23 /pmc/articles/PMC10595383/ /pubmed/37881349 http://dx.doi.org/10.1080/20008686.2023.2270261 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Research Article
Kongbunkiat, Kannikar
Jumparway, Donlagon
Vorasoot, Nisa
Kasemsap, Narongrit
Sawanyawisuth, Kittisak
Tiamkao, Somsak
Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database
title Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database
title_full Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database
title_fullStr Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database
title_full_unstemmed Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database
title_short Impact of COVID-19 outbreak on stroke admission in Thailand: a quasi-experimental, ecological study on national database
title_sort impact of covid-19 outbreak on stroke admission in thailand: a quasi-experimental, ecological study on national database
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595383/
https://www.ncbi.nlm.nih.gov/pubmed/37881349
http://dx.doi.org/10.1080/20008686.2023.2270261
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