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

<h4>Background</h4>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.<h4>Methods</...

Full description

Saved in:
Bibliographic Details
Main Authors: Hiroyuki Nagano, Jung-Ho Shin, Tetsuji Morishita, Daisuke Takada, Susumu Kunisawa, Kiyohide Fushimi, Yuichi Imanaka
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0261587&type=printable
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850075005903175680
author Hiroyuki Nagano
Jung-Ho Shin
Tetsuji Morishita
Daisuke Takada
Susumu Kunisawa
Kiyohide Fushimi
Yuichi Imanaka
author_facet Hiroyuki Nagano
Jung-Ho Shin
Tetsuji Morishita
Daisuke Takada
Susumu Kunisawa
Kiyohide Fushimi
Yuichi Imanaka
author_sort Hiroyuki Nagano
collection DOAJ
description <h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusions</h4>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.
format Article
id doaj-art-89f4c5c2d76b403989e5a1ea5347b203
institution DOAJ
issn 1932-6203
language English
publishDate 2021-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-89f4c5c2d76b403989e5a1ea5347b2032025-08-20T02:46:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-011612e026158710.1371/journal.pone.0261587Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis.Hiroyuki NaganoJung-Ho ShinTetsuji MorishitaDaisuke TakadaSusumu KunisawaKiyohide FushimiYuichi Imanaka<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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).<h4>Conclusions</h4>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.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0261587&type=printable
spellingShingle Hiroyuki Nagano
Jung-Ho Shin
Tetsuji Morishita
Daisuke Takada
Susumu Kunisawa
Kiyohide Fushimi
Yuichi Imanaka
Hospitalization for ischemic stroke was affected more in independent cases than in dependent cases during the COVID-19 pandemic: An interrupted time series analysis.
PLoS ONE
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
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0261587&type=printable
work_keys_str_mv AT hiroyukinagano hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis
AT junghoshin hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis
AT tetsujimorishita hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis
AT daisuketakada hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis
AT susumukunisawa hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis
AT kiyohidefushimi hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis
AT yuichiimanaka hospitalizationforischemicstrokewasaffectedmoreinindependentcasesthanindependentcasesduringthecovid19pandemicaninterruptedtimeseriesanalysis