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Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis

BACKGROUND: The pandemic of the coronavirus disease 2019 (COVID-19) has affected health care systems globally. The aim of our study is to assess the impact of the COVID-19 pandemic on the number of hospital admissions for ischemic stroke by severity in Japan. METHODS: We analysed administrative (Dia...

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Autores principales: Nagano, Hiroyuki, Shin, Jung-ho, Morishita, Tetsuji, Takada, Daisuke, Kunisawa, Susumu, Fushimi, Kiyohide, Imanaka, Yuichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682905/
https://www.ncbi.nlm.nih.gov/pubmed/34919571
http://dx.doi.org/10.1371/journal.pone.0261587
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author Nagano, Hiroyuki
Shin, Jung-ho
Morishita, Tetsuji
Takada, Daisuke
Kunisawa, Susumu
Fushimi, Kiyohide
Imanaka, Yuichi
author_facet Nagano, Hiroyuki
Shin, Jung-ho
Morishita, Tetsuji
Takada, Daisuke
Kunisawa, Susumu
Fushimi, Kiyohide
Imanaka, Yuichi
author_sort Nagano, Hiroyuki
collection PubMed
description BACKGROUND: The pandemic of the coronavirus disease 2019 (COVID-19) has affected health care systems globally. The aim of our study is to assess the impact of the COVID-19 pandemic on the number of hospital admissions for ischemic stroke by severity in Japan. METHODS: We analysed administrative (Diagnosis Procedure Combination—DPC) data for cases of inpatients aged 18 years and older who were diagnosed with ischemic stroke and admitted during the period April 1 2018 to June 27 2020. Levels of change of the weekly number of inpatient cases with ischemic stroke diagnosis after the declaration of state of emergency were assessed using interrupted time-series (ITS) analysis. The numbers of patients with various characteristics and treatment approaches were compared. We also performed an ITS analysis for each group (“independent” or “dependent”) divided based on components of activities of daily living (ADL) and level of consciousness at hospital admission. RESULTS: A total of 170,294 cases in 567 hospitals were included. The ITS analysis showed a significant decrease in the weekly number of ischemic stroke cases hospitalized (estimated decrease: −156 cases; 95% confidence interval (CI): −209 to −104), which corresponds to −10.4% (95% CI: −13.6 to −7.1). The proportion of decline in the independent group (−21.3%; 95% CI: −26.0 to −16.2) was larger than that in the dependent group (−8.6%; 95% CI: −11.7 to −5.4). CONCLUSIONS: Our results show a marked reduction in hospital admissions due to ischemic stroke after the declaration of the state of emergency for the COVID-19 pandemic. The independent cases were affected more in proportion than dependent cases.
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spelling pubmed-86829052021-12-18 Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis Nagano, Hiroyuki Shin, Jung-ho Morishita, Tetsuji Takada, Daisuke Kunisawa, Susumu Fushimi, Kiyohide Imanaka, Yuichi PLoS One Research Article BACKGROUND: The pandemic of the coronavirus disease 2019 (COVID-19) has affected health care systems globally. The aim of our study is to assess the impact of the COVID-19 pandemic on the number of hospital admissions for ischemic stroke by severity in Japan. METHODS: We analysed administrative (Diagnosis Procedure Combination—DPC) data for cases of inpatients aged 18 years and older who were diagnosed with ischemic stroke and admitted during the period April 1 2018 to June 27 2020. Levels of change of the weekly number of inpatient cases with ischemic stroke diagnosis after the declaration of state of emergency were assessed using interrupted time-series (ITS) analysis. The numbers of patients with various characteristics and treatment approaches were compared. We also performed an ITS analysis for each group (“independent” or “dependent”) divided based on components of activities of daily living (ADL) and level of consciousness at hospital admission. RESULTS: A total of 170,294 cases in 567 hospitals were included. The ITS analysis showed a significant decrease in the weekly number of ischemic stroke cases hospitalized (estimated decrease: −156 cases; 95% confidence interval (CI): −209 to −104), which corresponds to −10.4% (95% CI: −13.6 to −7.1). The proportion of decline in the independent group (−21.3%; 95% CI: −26.0 to −16.2) was larger than that in the dependent group (−8.6%; 95% CI: −11.7 to −5.4). CONCLUSIONS: Our results show a marked reduction in hospital admissions due to ischemic stroke after the declaration of the state of emergency for the COVID-19 pandemic. The independent cases were affected more in proportion than dependent cases. Public Library of Science 2021-12-17 /pmc/articles/PMC8682905/ /pubmed/34919571 http://dx.doi.org/10.1371/journal.pone.0261587 Text en © 2021 Nagano et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nagano, Hiroyuki
Shin, Jung-ho
Morishita, Tetsuji
Takada, Daisuke
Kunisawa, Susumu
Fushimi, Kiyohide
Imanaka, Yuichi
Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis
title Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis
title_full Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis
title_fullStr Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis
title_full_unstemmed Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis
title_short Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis
title_sort hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the covid-19 pandemic: an interrupted time series analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8682905/
https://www.ncbi.nlm.nih.gov/pubmed/34919571
http://dx.doi.org/10.1371/journal.pone.0261587
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