Relationships between the COVID-19 lockdown, socioeconomic factors and acute coronary syndrome hospitalisations in France
Worldwide, the COVID-19 pandemic has been associated with an overall drop in acute coronary syndrome (ACS) hospitalizations. Additionally, there is a well-known association between ACS and socioeconomic status. This study aims to assess the COVID-19 effect on ACS admissions in France during the firs...
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| description | Worldwide, the COVID-19 pandemic has been associated with an overall drop in acute coronary syndrome (ACS) hospitalizations. Additionally, there is a well-known association between ACS and socioeconomic status. This study aims to assess the COVID-19 effect on ACS admissions in France during the first national lockdown and investigate the factors associated with its spatial heterogeneity.
In this retrospective study, we used the French hospital discharge database (PMSI) to estimate ACS admission rates in all public and private hospitals in 2019 and 2020. A negative binomial regression explored the nationwide change in ACS admissions during lockdown compared with 2019. A multivariate analysis explored the factors associated with the ACS admission incidence rate ratio (IRR, 2020 incidence rate/2019 incidence rate) variation at the county level.
We found a significant but geographically heterogeneous nationwide reduction in ACS admissions during lockdown (IRR 0·70 [0·64-0·76]). After adjustment for cumulative COVID-19 admissions and the ageing index, a higher share of people on short-term working arrangements during lockdown at the county level was associated with a lower IRR, while a higher share of individuals with a high school degree and a higher density of acute care beds were associated with a higher ratio.
During the first national lockdown, there was an overall decrease in ACS admissions. Local provision of inpatient care and socioeconomic determinants linked to occupation were independently associated with the variation in hospitalizations. |
| doi_str_mv | 10.1371/journal.pone.0286700 |
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In this retrospective study, we used the French hospital discharge database (PMSI) to estimate ACS admission rates in all public and private hospitals in 2019 and 2020. A negative binomial regression explored the nationwide change in ACS admissions during lockdown compared with 2019. A multivariate analysis explored the factors associated with the ACS admission incidence rate ratio (IRR, 2020 incidence rate/2019 incidence rate) variation at the county level.
We found a significant but geographically heterogeneous nationwide reduction in ACS admissions during lockdown (IRR 0·70 [0·64-0·76]). After adjustment for cumulative COVID-19 admissions and the ageing index, a higher share of people on short-term working arrangements during lockdown at the county level was associated with a lower IRR, while a higher share of individuals with a high school degree and a higher density of acute care beds were associated with a higher ratio.
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In this retrospective study, we used the French hospital discharge database (PMSI) to estimate ACS admission rates in all public and private hospitals in 2019 and 2020. A negative binomial regression explored the nationwide change in ACS admissions during lockdown compared with 2019. A multivariate analysis explored the factors associated with the ACS admission incidence rate ratio (IRR, 2020 incidence rate/2019 incidence rate) variation at the county level.
We found a significant but geographically heterogeneous nationwide reduction in ACS admissions during lockdown (IRR 0·70 [0·64-0·76]). After adjustment for cumulative COVID-19 admissions and the ageing index, a higher share of people on short-term working arrangements during lockdown at the county level was associated with a lower IRR, while a higher share of individuals with a high school degree and a higher density of acute care beds were associated with a higher ratio.
During the first national lockdown, there was an overall decrease in ACS admissions. 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Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Plat, Rodney</au><au>Vasile, Maria</au><au>Roubille, François</au><au>Mercier, Grégoire</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relationships between the COVID-19 lockdown, socioeconomic factors and acute coronary syndrome hospitalisations in France</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2023-06-07</date><risdate>2023</risdate><volume>18</volume><issue>6</issue><spage>e0286700</spage><epage>e0286700</epage><pages>e0286700-e0286700</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Worldwide, the COVID-19 pandemic has been associated with an overall drop in acute coronary syndrome (ACS) hospitalizations. Additionally, there is a well-known association between ACS and socioeconomic status. This study aims to assess the COVID-19 effect on ACS admissions in France during the first national lockdown and investigate the factors associated with its spatial heterogeneity.
In this retrospective study, we used the French hospital discharge database (PMSI) to estimate ACS admission rates in all public and private hospitals in 2019 and 2020. A negative binomial regression explored the nationwide change in ACS admissions during lockdown compared with 2019. A multivariate analysis explored the factors associated with the ACS admission incidence rate ratio (IRR, 2020 incidence rate/2019 incidence rate) variation at the county level.
We found a significant but geographically heterogeneous nationwide reduction in ACS admissions during lockdown (IRR 0·70 [0·64-0·76]). After adjustment for cumulative COVID-19 admissions and the ageing index, a higher share of people on short-term working arrangements during lockdown at the county level was associated with a lower IRR, while a higher share of individuals with a high school degree and a higher density of acute care beds were associated with a higher ratio.
During the first national lockdown, there was an overall decrease in ACS admissions. Local provision of inpatient care and socioeconomic determinants linked to occupation were independently associated with the variation in hospitalizations.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>37285371</pmid><doi>10.1371/journal.pone.0286700</doi><orcidid>https://orcid.org/0000-0002-8844-3230</orcidid><orcidid>https://orcid.org/0000-0001-5531-4515</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Acute Coronary Syndrome - epidemiology Acute coronary syndromes Angina pectoris Biology and Life Sciences Cardiology and cardiovascular system Communicable Disease Control Comparative analysis Control Coronary heart disease Coronaviruses COVID-19 COVID-19 - epidemiology Epidemics Evaluation France France - epidemiology Heart attacks Heterogeneity Hospitalization Hospitals Human health and pathology Humans Life Sciences Medicine and Health Sciences Mortality Multivariate analysis Pandemics Patient admissions People and places Physical Sciences Public health administration Regression analysis Research and Analysis Methods Retrospective Studies Santé publique et épidémiologie Social aspects Social factors Social Sciences Socioeconomic Factors Socioeconomics Spatial heterogeneity Trends |
| title | Relationships between the COVID-19 lockdown, socioeconomic factors and acute coronary syndrome hospitalisations in France |
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