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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.
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COVID-19 , Humans , Female , Male , Aged , COVID-19/epidemiology , COVID-19/therapy , Pandemics , Retrospective Studies , France/epidemiology , HospitalizationABSTRACT
Background COVID-19 infection is less severe among children than among adults;however, some patients require hospitalization and even critical care. Using data from the French national medico-administrative database, we estimated the risk factors for critical care unit (CCU) admissions among pediatric COVID-19 hospitalizations, the number and characteristics of the cases during the successive waves from January 2020 to August 2021 and described death cases. Methods We included all children (age < 18) hospitalized with COVID-19 between January 1st, 2020, and August 31st, 2021. Follow-up was until September 30th, 2021 (discharge or death). Contiguous hospital stays were gathered in “care sequences.” Four epidemic waves were considered (cut off dates: August 11th 2020, January 1st 2021, and July 4th 2021). We excluded asymptomatic COVID-19 cases, post-COVID-19 diseases, and 1-day-long sequences (except death cases). Risk factors for CCU admission were assessed with a univariable and a multivariable logistic regression model in the entire sample and stratified by age, whether younger than 2. Results We included 7,485 patients, of whom 1988 (26.6%) were admitted to the CCU. Risk factors for admission to the CCU were being younger than 7 days [OR: 3.71 95% CI (2.56–5.39)], being between 2 and 9 years old [1.19 (1.00–1.41)], pediatric multisystem inflammatory syndrome (PIMS) [7.17 (5.97–8.6)] and respiratory forms [1.26 (1.12–1.41)], and having at least one underlying condition [2.66 (2.36–3.01)]. Among hospitalized children younger than 2 years old, prematurity was a risk factor for CCU admission [1.89 (1.47–2.43)]. The CCU admission rate gradually decreased over the waves (from 31.0 to 17.8%). There were 32 (0.4%) deaths, of which the median age was 6 years (IQR: 177 days–15.5 years). Conclusion Some children need to be more particularly protected from a severe evolution: newborns younger than 7 days old, children aged from 2 to 13 years who are more at risk of PIMS forms and patients with at least one underlying medical condition.
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Résumé Introduction La France a été fortement touchée par la pandémie à COVID-19, mais aucune étude n'a décrit de manière exhaustive son impact sur les hospitalisations. Notre objectif était de décrire la distribution géographique et l’évolution temporelle des hospitalisations liées à la COVID-19 et la mortalité intrahospitalière en France durant la première vague, de janvier à juin 2020. Méthodes Cette étude de cohorte rétrospective est basée sur les données de la base nationale du PMSI. Les hospitalisations contiguës ont été rassemblées en « séquences de soins » afin de limiter les biais lors des calculs d'incidence et de mortalité. Les taux d'incidence et leur évolution, la mortalité et le taux de létalité ont été comparés selon différents niveaux géographiques. Les corrélations entre incidence, mortalité et taux de létalité ont été analysées. Résultats Durant la première vague épidémique, nous avons dénombré 98 366 patients hospitalisés en France (taux d'incidence 146,7/100 000 habitants), parmi lesquels 18,8 % sont décédés. L’âge médian était de 71 ans, le ratio homme/femme de 1,16 et 26,2 % des patients ont nécessité des soins intensifs. L’Île-de-France et le Grand Est ont été les régions touchées les plus précocement et les plus sévèrement. Une rapide augmentation de l'incidence et de la mortalité sur 4 semaines a été suivie par une lente diminution durant 10 semaines. Le taux de létalité a progressivement diminué durant cette période et était corrélé positivement avec l'incidence et la mortalité. Discussions La description géographique et temporelle de cette première vague épidémique de COVID-19 en France montre d'importantes variations régionales et départementales, qu'une analyse globale n'aurait pas pu mettre en évidence. La précision apportée par ces analyses peut aider à mieux comprendre la dynamique de futures vagues épidémiques.
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OBJECTIVE: To explore mortality risk factors for patients hospitalised with COVID-19 in a critical care unit (CCU) or a hospital care unit (HCU). DESIGN: Retrospective cohort analysis using the French national (Programme de médicalisation des systèmes d'information) database. SETTING: Any public or private hospital in France. PARTICIPANTS: 98 366 patients admitted with COVID-19 for more than 1 day during the first semester of 2020 were included. The underlying conditions were retrieved for all contiguous stays. MAIN OUTCOME MEASURES: In-hospital mortality and associated risk factors were assessed using frailty Cox models. RESULTS: Among the 98 366 patients included, 25 765 (26%) were admitted to a CCU. The median age was 66 (IQR: 55-76) years in CCUs and 74 (IQR: 57-85) years in HCUs. Age was the main risk factor of death in both CCUs and HCUs, with adjusted HRs (aHRs) in CCUs increasing from 1.60 (95% CI 1.35 to 1.88) for 46 to 65 years to 8.17 (95% CI 6.86 to 9.72) for ≥85 years. In HCUs, the aHR associated with age was more than two times higher. The gender was not significantly associated with death, aHR 1.03 (95% CI 0.98 to 1.09, p=0.2693) in CCUs. Most of the underlying chronic conditions were risk factors for death, including malignant neoplasm (CCU: 1.34 (95% CI 1.25 to 1.43); HCU: 1.41 (95% CI 1.35 to 1.47)), cirrhosis without transplant (1.41 (95% CI 1.22 to 1.64); 1.27 (95% CI 1.12 to 1.45)) and dementia (1.30 (95% CI 1.16 to 1.46); 1.07 (95% CI 1.03 to 1.12)). CONCLUSION: This analysis confirms the role of age as the major risk factor of death in patients with COVID-19 irrespective to admission to critical care and therefore supports the current vaccination policies targeting older individuals.