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Seasonal COVID-19 surge related hospital volumes and case fatality rates
BACKGROUND: Seasonal and regional surges in COVID-19 have imposed substantial strain on healthcare systems. Whereas sharp inclines in hospital volume were accompanied by overt increases in case fatality rates during the very early phases of the pandemic, the relative impact during later phases of th...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864601/ https://www.ncbi.nlm.nih.gov/pubmed/35197000 http://dx.doi.org/10.1186/s12879-022-07139-2 |
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author | Ebinger, Joseph E. Lan, Roy Driver, Matthew Sun, Nancy Botting, Patrick Park, Eunice Davis, Tod Minissian, Margo B. Coleman, Bernice Riggs, Richard Roberts, Pamela Cheng, Susan |
author_facet | Ebinger, Joseph E. Lan, Roy Driver, Matthew Sun, Nancy Botting, Patrick Park, Eunice Davis, Tod Minissian, Margo B. Coleman, Bernice Riggs, Richard Roberts, Pamela Cheng, Susan |
author_sort | Ebinger, Joseph E. |
collection | PubMed |
description | BACKGROUND: Seasonal and regional surges in COVID-19 have imposed substantial strain on healthcare systems. Whereas sharp inclines in hospital volume were accompanied by overt increases in case fatality rates during the very early phases of the pandemic, the relative impact during later phases of the pandemic are less clear. We sought to characterize how the 2020 winter surge in COVID-19 volumes impacted case fatality in an adequately-resourced health system. METHODS: We performed a retrospective cohort study of all adult diagnosed with COVID-19 in a large academic healthcare system between August 25, 2020 to May 8, 2021, using multivariable logistic regression to examine case fatality rates across 3 sequential time periods around the 2020 winter surge: pre-surge, surge, and post-surge. Subgroup analyses of patients admitted to the hospital and those receiving ICU-level care were also performed. Additionally, we used multivariable logistic regression to examine risk factors for mortality during the surge period. RESULTS: We studied 7388 patients (aged 52.8 ± 19.6 years, 48% male) who received outpatient or inpatient care for COVID-19 during the study period. Patients treated during surge (N = 6372) compared to the pre-surge (N = 536) period had 2.64 greater odds (95% CI 1.46–5.27) of mortality after adjusting for sociodemographic and clinical factors. Adjusted mortality risk returned to pre-surge levels during the post-surge period. Notably, first-encounter patient-level measures of illness severity appeared higher during surge compared to non-surge periods. CONCLUSIONS: We observed excess mortality risk during a recent winter COVID-19 surge that was not explained by conventional risk factors or easily measurable variables, although recovered rapidly in the setting of targeted facility resources. These findings point to how complex interrelations of population- and patient-level pandemic factors can profoundly augment health system strain and drive dynamic, if short-lived, changes in outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07139-2. |
format | Online Article Text |
id | pubmed-8864601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88646012022-02-23 Seasonal COVID-19 surge related hospital volumes and case fatality rates Ebinger, Joseph E. Lan, Roy Driver, Matthew Sun, Nancy Botting, Patrick Park, Eunice Davis, Tod Minissian, Margo B. Coleman, Bernice Riggs, Richard Roberts, Pamela Cheng, Susan BMC Infect Dis Research Article BACKGROUND: Seasonal and regional surges in COVID-19 have imposed substantial strain on healthcare systems. Whereas sharp inclines in hospital volume were accompanied by overt increases in case fatality rates during the very early phases of the pandemic, the relative impact during later phases of the pandemic are less clear. We sought to characterize how the 2020 winter surge in COVID-19 volumes impacted case fatality in an adequately-resourced health system. METHODS: We performed a retrospective cohort study of all adult diagnosed with COVID-19 in a large academic healthcare system between August 25, 2020 to May 8, 2021, using multivariable logistic regression to examine case fatality rates across 3 sequential time periods around the 2020 winter surge: pre-surge, surge, and post-surge. Subgroup analyses of patients admitted to the hospital and those receiving ICU-level care were also performed. Additionally, we used multivariable logistic regression to examine risk factors for mortality during the surge period. RESULTS: We studied 7388 patients (aged 52.8 ± 19.6 years, 48% male) who received outpatient or inpatient care for COVID-19 during the study period. Patients treated during surge (N = 6372) compared to the pre-surge (N = 536) period had 2.64 greater odds (95% CI 1.46–5.27) of mortality after adjusting for sociodemographic and clinical factors. Adjusted mortality risk returned to pre-surge levels during the post-surge period. Notably, first-encounter patient-level measures of illness severity appeared higher during surge compared to non-surge periods. CONCLUSIONS: We observed excess mortality risk during a recent winter COVID-19 surge that was not explained by conventional risk factors or easily measurable variables, although recovered rapidly in the setting of targeted facility resources. These findings point to how complex interrelations of population- and patient-level pandemic factors can profoundly augment health system strain and drive dynamic, if short-lived, changes in outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07139-2. BioMed Central 2022-02-23 /pmc/articles/PMC8864601/ /pubmed/35197000 http://dx.doi.org/10.1186/s12879-022-07139-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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, visit http://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 Ebinger, Joseph E. Lan, Roy Driver, Matthew Sun, Nancy Botting, Patrick Park, Eunice Davis, Tod Minissian, Margo B. Coleman, Bernice Riggs, Richard Roberts, Pamela Cheng, Susan Seasonal COVID-19 surge related hospital volumes and case fatality rates |
title | Seasonal COVID-19 surge related hospital volumes and case fatality rates |
title_full | Seasonal COVID-19 surge related hospital volumes and case fatality rates |
title_fullStr | Seasonal COVID-19 surge related hospital volumes and case fatality rates |
title_full_unstemmed | Seasonal COVID-19 surge related hospital volumes and case fatality rates |
title_short | Seasonal COVID-19 surge related hospital volumes and case fatality rates |
title_sort | seasonal covid-19 surge related hospital volumes and case fatality rates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8864601/ https://www.ncbi.nlm.nih.gov/pubmed/35197000 http://dx.doi.org/10.1186/s12879-022-07139-2 |
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