Major interregional differences in France ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Major interregional differences in France of COVID-19 hospitalization and mortality from January to June 2020
Author(s) :
Muller, Joris [Auteur]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Loc, Pierre Tran Ba [Auteur]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Foucard, Florence Binder [Auteur]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Borde, Aurélie [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Bruandet, Amelie [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Le Bourhis-Zaimi, Maggie [Auteur]
Hospices Civils de Lyon [HCL]
Lenne, Xavier [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Ouattara, Eric [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Seguret, Fabienne [Auteur]
Centre Hospitalier Régional Universitaire [Montpellier] [CHRU Montpellier]
Gilleron, Véronique [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Du Montcel, Sophie Tezenas [Auteur]
Institut Pierre Louis d'Epidémiologie et de Santé Publique [iPLESP]
CHU Pitié-Salpêtrière [AP-HP]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Loc, Pierre Tran Ba [Auteur]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Foucard, Florence Binder [Auteur]
Centre Hospitalier Universitaire [Strasbourg] [CHU Strasbourg]
Borde, Aurélie [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Bruandet, Amelie [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Le Bourhis-Zaimi, Maggie [Auteur]
Hospices Civils de Lyon [HCL]
Lenne, Xavier [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Ouattara, Eric [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Seguret, Fabienne [Auteur]
Centre Hospitalier Régional Universitaire [Montpellier] [CHRU Montpellier]
Gilleron, Véronique [Auteur]
Centre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
Du Montcel, Sophie Tezenas [Auteur]
Institut Pierre Louis d'Epidémiologie et de Santé Publique [iPLESP]
CHU Pitié-Salpêtrière [AP-HP]
Journal title :
Epidemiology and Public Health = Revue d'Epidémiologie et de Santé Publique
Abbreviated title :
Rev. Epidemiol. Sante Publique
Volume number :
70
Pages :
-
Publication date :
2023-04-15
ISSN :
0398-7620
English keyword(s) :
Mortality
Hospitals
Cohort studies
France
COVID-19
Hospitals
Cohort studies
France
COVID-19
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Introduction Even though France was severely hit by the COVID-19 pandemic, few studies have addressed the dynamics of the first wave on an exhaustive, nationwide basis. We aimed to describe the geographic and temporal ...
Show more >Introduction Even though France was severely hit by the COVID-19 pandemic, few studies have addressed the dynamics of the first wave on an exhaustive, nationwide basis. We aimed to describe the geographic and temporal distribution of COVID-19 hospitalisations and in-hospital mortality in France during the first epidemic wave, from January to June 2020. Methods This retrospective cohort study used the French national database for all acute care hospital admissions (PMSI). Contiguous stays were assembled into “care sequences” for analysis so as to limit bias when estimating incidence and mortality. The incidence rate and its evolution, mortality and hospitalized case fatality rates (HCFR) were compared between geographic areas. Correlations between incidence, mortality, and HCFR were analyzed. Results During the first epidemic wave, 98,366 COVID-19 patients were hospitalized (incidence rate of 146.7/100,000 inhabitants), of whom 18.8% died. The median age was 71 years, the male/female ratio was 1.16, and 26.2% of patients required critical care. The Paris area and the North-East region were the first and most severely hit areas. A rapid increase of incidence and mortality within 4 weeks was followed by a slow decrease over 10 weeks. HCFRs decreased during the study period, and correlated positively with incidence and mortality rates. Discussion By detailing the geographical and temporal evolution of the COVID-19 epidemic in France, this study revealed major interregional differences, which were otherwise undetectable in global analyses. The precision afforded should help to understand the dynamics of future epidemic waves.Show less >
Show more >Introduction Even though France was severely hit by the COVID-19 pandemic, few studies have addressed the dynamics of the first wave on an exhaustive, nationwide basis. We aimed to describe the geographic and temporal distribution of COVID-19 hospitalisations and in-hospital mortality in France during the first epidemic wave, from January to June 2020. Methods This retrospective cohort study used the French national database for all acute care hospital admissions (PMSI). Contiguous stays were assembled into “care sequences” for analysis so as to limit bias when estimating incidence and mortality. The incidence rate and its evolution, mortality and hospitalized case fatality rates (HCFR) were compared between geographic areas. Correlations between incidence, mortality, and HCFR were analyzed. Results During the first epidemic wave, 98,366 COVID-19 patients were hospitalized (incidence rate of 146.7/100,000 inhabitants), of whom 18.8% died. The median age was 71 years, the male/female ratio was 1.16, and 26.2% of patients required critical care. The Paris area and the North-East region were the first and most severely hit areas. A rapid increase of incidence and mortality within 4 weeks was followed by a slow decrease over 10 weeks. HCFRs decreased during the study period, and correlated positively with incidence and mortality rates. Discussion By detailing the geographical and temporal evolution of the COVID-19 epidemic in France, this study revealed major interregional differences, which were otherwise undetectable in global analyses. The precision afforded should help to understand the dynamics of future epidemic waves.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Submission date :
2023-11-15T03:14:24Z
2024-04-05T08:28:49Z
2024-04-05T08:28:49Z