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

Background: As SARS-CoV-2 continues to spread, a thorough characterisation of healthcare needs and patient outcomes, and how they have changed over time, is essential to inform planning. Methods: We developed a probabilistic framework to analyse detailed patient trajectories from 198,846 hospitalisa...

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Main Authors: Noémie Lefrancq, Juliette Paireau, Nathanaël Hozé, Noémie Courtejoie, Yazdan Yazdanpanah, Lila Bouadma, Pierre-Yves Boëlle, Fanny Chereau, Henrik Salje, Simon Cauchemez
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:The Lancet Regional Health. Europe
Online Access:http://www.sciencedirect.com/science/article/pii/S2666776221000648
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spelling doaj-0c2a9c3b84d742cbad1d17460966a8ee2021-03-23T04:13:27ZengElsevierThe Lancet Regional Health. Europe2666-77622021-06-015100087Evolution of outcomes for patients hospitalised during the first 9 months of the SARS-CoV-2 pandemic in France: A retrospective national surveillance data analysisNoémie Lefrancq0Juliette Paireau1Nathanaël Hozé2Noémie Courtejoie3Yazdan Yazdanpanah4Lila Bouadma5Pierre-Yves Boëlle6Fanny Chereau7Henrik Salje8Simon Cauchemez9Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France; Department of Genetics, University of Cambridge, Cambridge, UKMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France; Santé Publique France, French National Public Health Agency, Saint-Maurice, FranceMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, FranceDREES, Ministère des Solidarités et de la Santé, Paris, FranceUniversité of Paris, INSERM UMR 1137 IAME, Paris, France; Department of Infectious Diseases, Assistance Publique-Hôpitaux de Paris, Bichat–Claude-Bernard University Hospital, Paris, FranceUniversité of Paris, INSERM UMR 1137 IAME, Paris, France; Medical and Infectious Diseases Intensive Care Unit, Assistance Publique-Hôpitaux de Paris, Bichat–Claude-Bernard University Hospital, Paris, FranceInstitut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, FranceSanté Publique France, French National Public Health Agency, Saint-Maurice, FranceMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France; Department of Genetics, University of Cambridge, Cambridge, UK; Corresponding author at: Department of Genetics, University of Cambridge, Cambridge, UKMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, France; Corresponding author at: Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, Paris, FranceBackground: As SARS-CoV-2 continues to spread, a thorough characterisation of healthcare needs and patient outcomes, and how they have changed over time, is essential to inform planning. Methods: We developed a probabilistic framework to analyse detailed patient trajectories from 198,846 hospitalisations in France during the first nine months of the pandemic. Our model accounts for the varying age- and sex- distribution of patients, and explore changes in outcome probabilities as well as length of stay. Findings: We found that there were marked changes in the age and sex of hospitalisations over the study period. In particular, the proportion of hospitalised individuals that were >80y varied between 27% and 48% over the course of the epidemic, and was lowest during the inter-peak period. The probability of hospitalised patients entering ICU dropped from 0·25 (0·24–0·26) to 0·13 (0·12–0·14) over the four first months as case numbers fell, before rising to 0·19 (0·19–0·20) during the second wave. The probability of death followed a similar trajectory, falling from 0·25 (0·24–0·26) to 0·10 (0·09–0·11) after the first wave before increasing again during the second wave to 0·19 (0·18–0·19). Overall, we find both the probability of death and the probability of entering ICU were significantly correlated with COVID-19 ICU occupancy. Interpretation: There are large scale trends in patients outcomes by age, sex and over time. These need to be considered in ongoing healthcare planning efforts. Funding: INCEPTION.http://www.sciencedirect.com/science/article/pii/S2666776221000648
collection DOAJ
language English
format Article
sources DOAJ
author Noémie Lefrancq
Juliette Paireau
Nathanaël Hozé
Noémie Courtejoie
Yazdan Yazdanpanah
Lila Bouadma
Pierre-Yves Boëlle
Fanny Chereau
Henrik Salje
Simon Cauchemez
spellingShingle Noémie Lefrancq
Juliette Paireau
Nathanaël Hozé
Noémie Courtejoie
Yazdan Yazdanpanah
Lila Bouadma
Pierre-Yves Boëlle
Fanny Chereau
Henrik Salje
Simon Cauchemez
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
The Lancet Regional Health. Europe
author_facet Noémie Lefrancq
Juliette Paireau
Nathanaël Hozé
Noémie Courtejoie
Yazdan Yazdanpanah
Lila Bouadma
Pierre-Yves Boëlle
Fanny Chereau
Henrik Salje
Simon Cauchemez
author_sort Noémie Lefrancq
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Elsevier
series The Lancet Regional Health. Europe
issn 2666-7762
publishDate 2021-06-01
description Background: As SARS-CoV-2 continues to spread, a thorough characterisation of healthcare needs and patient outcomes, and how they have changed over time, is essential to inform planning. Methods: We developed a probabilistic framework to analyse detailed patient trajectories from 198,846 hospitalisations in France during the first nine months of the pandemic. Our model accounts for the varying age- and sex- distribution of patients, and explore changes in outcome probabilities as well as length of stay. Findings: We found that there were marked changes in the age and sex of hospitalisations over the study period. In particular, the proportion of hospitalised individuals that were >80y varied between 27% and 48% over the course of the epidemic, and was lowest during the inter-peak period. The probability of hospitalised patients entering ICU dropped from 0·25 (0·24–0·26) to 0·13 (0·12–0·14) over the four first months as case numbers fell, before rising to 0·19 (0·19–0·20) during the second wave. The probability of death followed a similar trajectory, falling from 0·25 (0·24–0·26) to 0·10 (0·09–0·11) after the first wave before increasing again during the second wave to 0·19 (0·18–0·19). Overall, we find both the probability of death and the probability of entering ICU were significantly correlated with COVID-19 ICU occupancy. Interpretation: There are large scale trends in patients outcomes by age, sex and over time. These need to be considered in ongoing healthcare planning efforts. Funding: INCEPTION.
url http://www.sciencedirect.com/science/article/pii/S2666776221000648
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