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Impact of the First COVID-19 Wave on French Hospitalizations for Myocardial Infarction and Stroke: A Retrospective Cohort Study.
Mariet, Anne-Sophie; Duloquin, Gauthier; Benzenine, Eric; Roussot, Adrien; Pommier, Thibaut; Eicher, Jean-Christophe; Baptiste, Laura; Giroud, Maurice; Cottin, Yves; Béjot, Yannick; Quantin, Catherine.
Afiliação
  • Mariet AS; Biostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.
  • Duloquin G; Clinical Epidemiology/Clinical Trials Unit, Clinical Investigation Center, University Hospital of Dijon, CIC1432, 21000 Dijon, France.
  • Benzenine E; Neurology Department, University Hospital of Dijon, 21000 Dijon, France.
  • Roussot A; Dijon Stroke Registry (Santé Publique France-Inserm), University of Burgundy, UFBC, 21000 Dijon, France.
  • Pommier T; EA 7460 (Pathophysiology and Epidemiology of Cerebro-CardioVascular Diseases), University of Burgundy, UFBC, 21000 Dijon, France.
  • Eicher JC; Biostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.
  • Baptiste L; Biostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.
  • Giroud M; Cardiology Department, University Hospital of Dijon, 21000 Dijon, France.
  • Cottin Y; Cardiology Department, University Hospital of Dijon, 21000 Dijon, France.
  • Béjot Y; Neurology Department, University Hospital of Dijon, 21000 Dijon, France.
  • Quantin C; Dijon Stroke Registry (Santé Publique France-Inserm), University of Burgundy, UFBC, 21000 Dijon, France.
Biomedicines ; 10(10)2022 Oct 07.
Article em En | MEDLINE | ID: mdl-36289763
ABSTRACT
The COVID-19 pandemic modified the management of myocardial infarction (MI) and stroke. We aimed to evaluate the effect of the COVID-19 pandemic on the volume and spatial distribution of hospitalizations for MI and stroke, before, during and after the first nationwide lockdown in France in 2020, compared with 2019. Hospitalization data were extracted from the French National Discharge database. Patient's characteristics were compared according to COVID-19 status. Changes in hospitalization rates over time were measured using interrupted time series analysis. Possible spatial patterns of over or under-hospitalization rates were investigated using Moran's indices. We observed a rapid and significant drop in hospitalizations just before the beginning of the lockdown with a nadir at 36.5% for MI and 31.2% for stroke. Hospitalization volumes returned to those seen in 2019 four weeks after the end of the lockdown, except for MI, which rebounded excessively. Older age, male sex, elevated rate of hypertension, diabetes, obesity and mortality characterized COVID-19 patients. There was no evidence of a change in the spatial pattern of over- or under-hospitalization clusters over the three periods. After a steep drop, only MI showed a significant rebound after the first lockdown with no change in the spatial distribution of hospitalizations.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article