Dataset Information

Major interregional differences in France of COVID-19 hospitalization and mortality from January to June 2020.

ABSTRACT:

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.

SUBMITTER: Muller J

PROVIDER: S-EPMC9468311 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Publications

Major interregional differences in France of COVID-19 hospitalization and mortality from January to June 2020.

Muller Joris J Tran Ba Loc Pierre P Binder Foucard Florence F Borde Aurélie A Bruandet Amélie A Le Bourhis-Zaimi Maggie M Lenne Xavier X Ouattara Éric É Séguret Fabienne F Gilleron Véronique V Tezenas du Montcel Sophie S

Revue d'epidemiologie et de sante publique 20220913 6

<h4>Introduction</h4>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.<h4>Methods</h4>This retrospective cohort study used the French national database for all acute care hospital admissions (PMSI). Contiguou ...[more]

PMID: 36207228

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Project description:ImportanceAdults in disadvantaged socioeconomic positions have elevated risks of a severe course of COVID-19, but it is unclear whether this holds true for children.ObjectiveTo investigate whether young people from disadvantaged households have a higher risk of COVID-19 hospitalization and whether differences were associated with comorbidities that predispose children to severe courses.Design, setting, and participantsThis population-based cohort study included all children and adolescents (aged 0-18 years) who were enrolled in a statutory health insurance carrier in Germany during the observation period of January 1, 2020, to July 13, 2021. Logistic regressions were calculated to compare children from households with and without an indication of poverty. Age, sex, days under observation, nationality, and comorbidities (eg, obesity, diabetes) were controlled for to account for explanatory factors.ExposuresDisadvantage on the household level was assessed by the employment status of the insurance holder (ie, employed, long- or short-term unemployed, low-wage employment, economically inactive). Socioeconomic characteristics of the area of residence were also assessed.Main outcomes and measuresDaily hospital diagnoses of COVID-19 (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes U07.1 and U07.2) were recorded. Comorbidities were assessed using inpatient and outpatient diagnoses contained in the insurance records.ResultsA total of 688 075 children and adolescents were included, with a mean (SD) age of 8.3 (5.8) years and 333 489 (48.4%) female participants. COVID-19 hospital diagnosis was a rare event (1637 participants [0.2%]). Children whose parents were long-term unemployed were 1.36 (95% CI, 1.22-1.51) times more likely than those with employed parents to be hospitalized. Elevated odds were also found for children whose parents had low-wage employment (odds ratio, 1.29; 95% CI, 1.05-1.58). Those living in low-income areas had 3.02 (95% CI, 1.73-5.28) times higher odds of hospitalization than those in less deprived areas. Comorbidities were associated with hospitalization, but their adjustment did not change main estimates for deprivation.Conclusions and relevanceIn this cohort study, children who had parents who were unemployed and those who lived in low-income areas were at higher risk of COVID-19 hospitalization. This finding suggests that attention must be paid to children with SARS-CoV-2 from vulnerable families and closer monitoring should be considered. A number of explanatory factors, including comorbidities, were taken into account, but their analysis yielded no clear picture about underlying processes.

Dataset Information

Major interregional differences in France of COVID-19 hospitalization and mortality from January to June 2020.

Introduction

Methods

Results

Discussion

Publications

Major interregional differences in France of COVID-19 hospitalization and mortality from January to June 2020.

Similar Datasets

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