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Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients

The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large dataset from ad...

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Autores principales: Wichmann, Bruno, Moreira Wichmann, Roberta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442321/
https://www.ncbi.nlm.nih.gov/pubmed/37604881
http://dx.doi.org/10.1038/s41598-023-40727-z
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author Wichmann, Bruno
Moreira Wichmann, Roberta
author_facet Wichmann, Bruno
Moreira Wichmann, Roberta
author_sort Wichmann, Bruno
collection PubMed
description The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large dataset from administrative records of the Brazilian public health system (SUS) to estimate pandemic spillover effects in critically ill health care delivery, i.e. the additional mortality risk that COVID-19 ICU hospitalizations generate on non-COVID-19 patients receiving intensive care. The data contain the universe of ICU hospitalizations in SUS from February 26, 2020 to December 31, 2021. Spillover estimates are obtained from high-dimensional fixed effects regression models that control for a number of unobservable confounders. Our findings indicate that, on average, the pandemic increased the mortality risk of non-COVID-19 ICU patients by 1.296 percentage points, 95% CI 1.145–1.448. The spillover mortality risk is larger for non-COVID patients receiving intensive care due to diseases of the respiratory system, diseases of the skin and subcutaneous tissue, and infectious and parasitic diseases. As of July 2023, the WHO reports more than 6.9 million global deaths due to COVID-19 infection. However, our estimates of spillover effects suggest that the pandemic’s total death toll is much higher.
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spelling pubmed-104423212023-08-23 Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients Wichmann, Bruno Moreira Wichmann, Roberta Sci Rep Article The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large dataset from administrative records of the Brazilian public health system (SUS) to estimate pandemic spillover effects in critically ill health care delivery, i.e. the additional mortality risk that COVID-19 ICU hospitalizations generate on non-COVID-19 patients receiving intensive care. The data contain the universe of ICU hospitalizations in SUS from February 26, 2020 to December 31, 2021. Spillover estimates are obtained from high-dimensional fixed effects regression models that control for a number of unobservable confounders. Our findings indicate that, on average, the pandemic increased the mortality risk of non-COVID-19 ICU patients by 1.296 percentage points, 95% CI 1.145–1.448. The spillover mortality risk is larger for non-COVID patients receiving intensive care due to diseases of the respiratory system, diseases of the skin and subcutaneous tissue, and infectious and parasitic diseases. As of July 2023, the WHO reports more than 6.9 million global deaths due to COVID-19 infection. However, our estimates of spillover effects suggest that the pandemic’s total death toll is much higher. Nature Publishing Group UK 2023-08-21 /pmc/articles/PMC10442321/ /pubmed/37604881 http://dx.doi.org/10.1038/s41598-023-40727-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access 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, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wichmann, Bruno
Moreira Wichmann, Roberta
Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
title Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
title_full Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
title_fullStr Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
title_full_unstemmed Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
title_short Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients
title_sort big data evidence of the impact of covid-19 hospitalizations on mortality rates of non-covid-19 critically ill patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442321/
https://www.ncbi.nlm.nih.gov/pubmed/37604881
http://dx.doi.org/10.1038/s41598-023-40727-z
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