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1.
Rev Epidemiol Sante Publique ; 70(6): 265-276, 2022 Nov.
Artículo en Inglés | MEDLINE | ID: covidwho-2095960

RESUMEN

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.


Asunto(s)
COVID-19 , Humanos , Femenino , Masculino , Anciano , COVID-19/epidemiología , COVID-19/terapia , Pandemias , Estudios Retrospectivos , Francia/epidemiología , Hospitalización
2.
Frontiers in pediatrics ; 10, 2022.
Artículo en Inglés | EuropePMC | ID: covidwho-2046459

RESUMEN

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.

3.
BMJ Open Respir Res ; 8(1)2021 10.
Artículo en Inglés | MEDLINE | ID: covidwho-1495491

RESUMEN

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.


Asunto(s)
COVID-19 , Anciano , Cuidados Críticos , Hospitales , Humanos , Persona de Mediana Edad , Estudios Retrospectivos , Factores de Riesgo , SARS-CoV-2
4.
Arch Cardiovasc Dis ; 113(6-7): 443-447, 2020.
Artículo en Inglés | MEDLINE | ID: covidwho-614406

RESUMEN

BACKGROUND: How coronavirus 2019 (COVID-19) is affecting management of myocardial infarction is a matter of concern, as medical resources have been massively reorientated and the population has been in lockdown since 17 March 2020 in France. AIMS: To describe how lockdown has affected the evolution of the weekly rate of myocardial infarctions (non-ST-segment and ST-segment elevation) hospital admissions in Lyon, the second largest city in France. To verify the trend observed, the same analysis was conducted for an identical time window during 2018-2019 and for an unavoidable emergency, i.e. birth. METHODS: Based on the national hospitalisation database [Programme de médicalisation des systèmes d'information (PMSI)], all patients admitted to the main public hospitals for a principal diagnosis of myocardial infarction or birth during the 2nd to the 14th week of 2020 were included. These were compared with the average number of patients admitted for the same diagnosis during the same time window in 2018 and 2019. RESULTS: Before lockdown, the number of admissions for myocardial infarction in 2020 differed from that in 2018-2019 by less than 10%; after the start of lockdown, it decreased by 31% compared to the corresponding time window in 2018-2019. Conversely, the numbers of births remained stable across years and before and after the start of lockdown. CONCLUSION: This study strongly suggests a decrease in the number of admissions for myocardial infarction during lockdown. Although we do not have a long follow-up to determine whether this trend will endure, this is an important warning for the medical community and health authorities.


Asunto(s)
Infecciones por Coronavirus/epidemiología , Infarto del Miocardio sin Elevación del ST/terapia , Admisión del Paciente/tendencias , Neumonía Viral/epidemiología , Infarto del Miocardio con Elevación del ST/terapia , Betacoronavirus/patogenicidad , COVID-19 , Infecciones por Coronavirus/diagnóstico , Infecciones por Coronavirus/transmisión , Infecciones por Coronavirus/virología , Francia/epidemiología , Humanos , Incidencia , Infarto del Miocardio sin Elevación del ST/diagnóstico , Infarto del Miocardio sin Elevación del ST/epidemiología , Pandemias , Neumonía Viral/diagnóstico , Neumonía Viral/transmisión , Neumonía Viral/virología , Pronóstico , SARS-CoV-2 , Infarto del Miocardio con Elevación del ST/diagnóstico , Infarto del Miocardio con Elevación del ST/epidemiología , Factores de Tiempo , Virulencia
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