Evolution of outcomes for patients hospitalised during the first 9 months of the SARS-CoV-2 pandemic in France: A retrospective national surveillance data analysis

Lefrancq, Noémie; Paireau, Juliette; Hozé, Nathanaël; Courtejoie, Noémie; Yazdanpanah, Yazdan; Bouadma, Lila; Boëlle, Pierre‐Yves; Chéreau, Fanny; Salje, Henrik; Cauchemez, Simon

doi:10.1016/j.lanepe.2021.100087

Cited by 40 publications

(60 citation statements)

References 25 publications

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“…When the epidemic was raging, it was essential to perform orderly, coordinated, timely and comprehensive research. At present, foreign research on the novel coronavirus epidemic has focused mostly on the clinical characteristics of patients with COVID-19 [ 9 – 11 ], chest characteristics shown by computed tomography (CT) [ 12 – 14 ], the treatment of severe patients [ 15 – 17 ], the influence of COVID-19 on other diseases [ 18 , 19 ], the monitoring of the novel coronavirus epidemic [ 20 , 21 ], and novel coronavirus vaccines [ 22 – 25 ]. According to the history of epidemiology, careful investigations of exposure environments and exposed populations are necessary to isolate potential sources of transmission and prevent second-generation transmission.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China

Guo

2021

PLoS ONE

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The outbreak of a novel coronavirus pneumonia (COVID-19), wherein more than 200 million people have been infected and millions have died, poses a great threat to achieving the United Nations 2030 sustainable development goal (SDGs). Based on the Baidu index of ’novel coronavirus’, this paper analyses the spatial and temporal characteristics of and factors that influenced the attention network for COVID-19 from January 9, 2020, to April 15, 2020. The study found that (1) Temporally, the attention in the new coronavirus network showed an upward trend from January 9 to January 29, with the largest increase from January 23 to January 29 and a peak on January 29, and then a slow downward trend. The level of attention in the new coronavirus network was basically flat when comparing January 22 and March 4. (2) Spatially, first, from the perspective of regional differences, the network attention in the eastern and central regions decreased in turn. The network users in the eastern region exhibited the highest attention to the new coronavirus, especially in Guangdong, Shandong, Jiangsu and other provinces and cities. The network attention in Tibet, Xinjiang, Qinghai and Ningxia in the western region was the lowest in terms of the national network attention. Second, from the perspective of interprovincial differences, the attention in the new coronavirus network was highly consistent with the Hu Huanyong line of China’s population boundary. The east of the Hu Huanyong line is densely populated, and the network showed high concern, mostly ranking at the third to fifth levels. (3) The number of Internet users in the information technology field, the population, and the culture and age characteristics of individuals are important factors that influence the novel coronavirus attention network.

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Section: Introductionmentioning

confidence: 99%

Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China

Guo

2021

PLoS ONE

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“…First, individuals are assumed to be vaccinated independently of their natural immunisation status. Furthermore, the infection fatality ratio is kept constant as in [8] but this is known to depend on hospital capacity strain [6] or the infecting variant [1]. Second, there were also some missing data at the departmental level, e.g.…”

Section: Discussionmentioning

confidence: 99%

Anticipating the hospital burden of future COVID-19 epidemic waves

Boennec

Alizon

Sofonea

2021

Preprint

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Forecasting SARS-CoV-2 epidemic trends with confidence more than a few weeks ahead is almost impossible as these entirely depend on political decisions. We address this problem by investigating the consequences for the health system of an epidemic wave of a given size. This approach yields semi-quantitative results that depend on the proportion of the population already infected and vaccinated. We introduce the COVimpact software, which allows users to visualise estimated numbers of ICU admissions, deaths, and infections stratified by age class at the French departmental, regional, or national level caused by the wave. We illustrate the usefulness of our approach by showing that for France, even with a 95% vaccination coverage, the current vaccine efficiency against the delta variant would make a large epidemic wave infecting 25% of the population difficult to sustain for the current hospital bed occupancy capacity. Overall, using the final epidemic wave size and ignoring detailed epidemiological dynamics yields valuable and practical insights to optimise public health response to epidemics.

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“…The study was conducted at the Antoine Beclere University Hospital, located in the South-West of Paris area, France, a part of the Assistance Publique-Hôpitaux de Paris, which allows the use of routinely collected data for non-interventional research (https://www.aphp.fr/protection-des-donneespersonnelles). During the whole epidemic, a decision on tness for invasive ventilation was taken for each patient at the time of admission in collaboration with critical care team, after consideration of age and comorbidities which are associated with high mortality rates and high likelihood of poor outcomes of intensive care in COVID-19 (1,2).…”

Section: Methodsmentioning

confidence: 99%

“…Since mortality outside ICU was signi cantly correlated with percentage of ICU occupancy, one hypothesis was that increasing pressure on the healthcare system prevented hospitals to correctly deal with the increasing demand. However, proportion of patients that entered ICU was very low among those older than 70 (1).…”

Section: Trial Registrationmentioning

confidence: 95%

High Flow Nasal Cannula Oxygen In Non-Critical Care Units In Patients Infected With SARS-CoV-2 Who Are Not Suitable For Intensive Care Unit

Bouetard

Vignes

Braham

et al. 2021

Preprint

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Background:High-flow nasal cannula (HFNC) is a recent respiratory support technique used for patients with hypoxemic respiratory failure; its use usually takes place in critical care wards. During the second wave of Covid-19, almost 400 000 people were hospitalized in France, and intensive care units were overwhelmed. For patients who did not meet criteria for admission to an intensive care unit because of their age or their medical background, we proposed HFNC in non-critical care unit instead of standard oxygen therapy to improve patient survival and comfort.Objectives: To describe characteristics and outcomes of patients infected with SARS-CoV-2 with HFNC in non-critical care wards between September 2020 and June 2021.Methods: This was a single-center, retrospective cohort study conducted between September and June 2021 in Clamart Hospital, France. Patients infected with SARS-CoV-2 confirmed, who were not suitable for intensive care unit escalation, and who were proposed HFNC because of respiratory failure were assessed.Results:Thirty-one patients with SARS-CoV-2 were included, median age 87.0 years (interquartile range (IQR), 82.0-91.0), 52% men. Nineteen (61%) patients were OMS score 0, i.e. no disability in daily-life activities. HNFC was started a median of 3 days (IQR, 1-5.5) after hospitalization. Overall, median duration of HNFC was 6 days (IQR, 4-10). Eleven patients (35.5%) survived and were discharged from hospital.Conclusions:Our experience of HFNC for patients with COVID-19 outside of a critical care environment because of their age and comorbidities is positive allowing survival of 35% of old patients not admitted to an intensive care unit. Trial registration:Not applicable

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Evolution of outcomes for patients hospitalised during the first 9 months of the SARS-CoV-2 pandemic in France: A retrospective national surveillance data analysis

Cited by 40 publications

References 25 publications

Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China

Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China

Anticipating the hospital burden of future COVID-19 epidemic waves

High Flow Nasal Cannula Oxygen In Non-Critical Care Units In Patients Infected With SARS-CoV-2 Who Are Not Suitable For Intensive Care Unit

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