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Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis

BACKGROUND: Increasing age, male sex, and pre-existing comorbidities are associated with lower survival from SARS-CoV-2 infection. The interplay between different comorbidities, age, and sex is not fully understood, and it remains unclear if survival decreases linearly with higher ICU occupancy or i...

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Autores principales: Anderegg, Nanina, Panczak, Radoslaw, Egger, Matthias, Low, Nicola, Riou, Julien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038218/
https://www.ncbi.nlm.nih.gov/pubmed/35468785
http://dx.doi.org/10.1186/s12916-022-02364-7
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author Anderegg, Nanina
Panczak, Radoslaw
Egger, Matthias
Low, Nicola
Riou, Julien
author_facet Anderegg, Nanina
Panczak, Radoslaw
Egger, Matthias
Low, Nicola
Riou, Julien
author_sort Anderegg, Nanina
collection PubMed
description BACKGROUND: Increasing age, male sex, and pre-existing comorbidities are associated with lower survival from SARS-CoV-2 infection. The interplay between different comorbidities, age, and sex is not fully understood, and it remains unclear if survival decreases linearly with higher ICU occupancy or if there is a threshold beyond which survival falls. METHOD: This national population-based study included 22,648 people who tested positive for SARS-CoV-2 infection and were hospitalized in Switzerland between February 24, 2020, and March 01, 2021. Bayesian survival models were used to estimate survival after positive SARS-CoV-2 test among people hospitalized with COVID-19 by epidemic wave, age, sex, comorbidities, and ICU occupancy. Two-way interactions between age, sex, and comorbidities were included to assess the differential risk of death across strata. ICU occupancy was modeled using restricted cubic splines to allow for a non-linear association with survival. RESULTS: Of 22,648 people hospitalized with COVID-19, 4785 (21.1%) died. The survival was lower during the first epidemic wave than in the second (predicted survival at 40 days after positive test 76.1 versus 80.5%). During the second epidemic wave, occupancy among all available ICU beds in Switzerland varied between 51.7 and 78.8%. The estimated survival was stable at approximately 81.5% when ICU occupancy was below 70%, but worse when ICU occupancy exceeded this threshold (survival at 80% ICU occupancy: 78.2%; 95% credible interval [CrI] 76.1 to 80.1%). Periods with higher ICU occupancy (>70 vs 70%) were associated with an estimated number of 137 (95% CrI 27 to 242) excess deaths. Comorbid conditions reduced survival more in younger people than in older people. Among comorbid conditions, hypertension and obesity were not associated with poorer survival. Hypertension appeared to decrease survival in combination with cardiovascular disease. CONCLUSIONS: Survival after hospitalization with COVID-19 has improved over time, consistent with improved management of severe COVID-19. The decreased survival above 70% national ICU occupancy supports the need to introduce measures for prevention and control of SARS-CoV-2 transmission in the population well before ICUs are full. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02364-7.
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spelling pubmed-90382182022-04-26 Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis Anderegg, Nanina Panczak, Radoslaw Egger, Matthias Low, Nicola Riou, Julien BMC Med Research Article BACKGROUND: Increasing age, male sex, and pre-existing comorbidities are associated with lower survival from SARS-CoV-2 infection. The interplay between different comorbidities, age, and sex is not fully understood, and it remains unclear if survival decreases linearly with higher ICU occupancy or if there is a threshold beyond which survival falls. METHOD: This national population-based study included 22,648 people who tested positive for SARS-CoV-2 infection and were hospitalized in Switzerland between February 24, 2020, and March 01, 2021. Bayesian survival models were used to estimate survival after positive SARS-CoV-2 test among people hospitalized with COVID-19 by epidemic wave, age, sex, comorbidities, and ICU occupancy. Two-way interactions between age, sex, and comorbidities were included to assess the differential risk of death across strata. ICU occupancy was modeled using restricted cubic splines to allow for a non-linear association with survival. RESULTS: Of 22,648 people hospitalized with COVID-19, 4785 (21.1%) died. The survival was lower during the first epidemic wave than in the second (predicted survival at 40 days after positive test 76.1 versus 80.5%). During the second epidemic wave, occupancy among all available ICU beds in Switzerland varied between 51.7 and 78.8%. The estimated survival was stable at approximately 81.5% when ICU occupancy was below 70%, but worse when ICU occupancy exceeded this threshold (survival at 80% ICU occupancy: 78.2%; 95% credible interval [CrI] 76.1 to 80.1%). Periods with higher ICU occupancy (>70 vs 70%) were associated with an estimated number of 137 (95% CrI 27 to 242) excess deaths. Comorbid conditions reduced survival more in younger people than in older people. Among comorbid conditions, hypertension and obesity were not associated with poorer survival. Hypertension appeared to decrease survival in combination with cardiovascular disease. CONCLUSIONS: Survival after hospitalization with COVID-19 has improved over time, consistent with improved management of severe COVID-19. The decreased survival above 70% national ICU occupancy supports the need to introduce measures for prevention and control of SARS-CoV-2 transmission in the population well before ICUs are full. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02364-7. BioMed Central 2022-04-26 /pmc/articles/PMC9038218/ /pubmed/35468785 http://dx.doi.org/10.1186/s12916-022-02364-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visithttp://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Anderegg, Nanina
Panczak, Radoslaw
Egger, Matthias
Low, Nicola
Riou, Julien
Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis
title Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis
title_full Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis
title_fullStr Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis
title_full_unstemmed Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis
title_short Survival among people hospitalized with COVID-19 in Switzerland: a nationwide population-based analysis
title_sort survival among people hospitalized with covid-19 in switzerland: a nationwide population-based analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9038218/
https://www.ncbi.nlm.nih.gov/pubmed/35468785
http://dx.doi.org/10.1186/s12916-022-02364-7
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