Cargando…

Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada

BACKGROUND: Patient age is one of the most salient clinical indicators of risk from COVID-19. Age-specific distributions of known SARS-CoV-2 infections and COVID-19-related deaths are available for many regions. Less attention has been given to the age distributions of serious medical interventions...

Descripción completa

Detalles Bibliográficos
Autores principales: Papst, Irena, Li, Michael, Champredon, David, Bolker, Benjamin M., Dushoff, Jonathan, D. Earn, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040357/
https://www.ncbi.nlm.nih.gov/pubmed/33845807
http://dx.doi.org/10.1186/s12889-021-10611-4
_version_ 1783677768205074432
author Papst, Irena
Li, Michael
Champredon, David
Bolker, Benjamin M.
Dushoff, Jonathan
D. Earn, David J.
author_facet Papst, Irena
Li, Michael
Champredon, David
Bolker, Benjamin M.
Dushoff, Jonathan
D. Earn, David J.
author_sort Papst, Irena
collection PubMed
description BACKGROUND: Patient age is one of the most salient clinical indicators of risk from COVID-19. Age-specific distributions of known SARS-CoV-2 infections and COVID-19-related deaths are available for many regions. Less attention has been given to the age distributions of serious medical interventions administered to COVID-19 patients, which could reveal sources of potential pressure on the healthcare system should SARS-CoV-2 prevalence increase, and could inform mass vaccination strategies. The aim of this study is to quantify the relationship between COVID-19 patient age and serious outcomes of the disease, beyond fatalities alone. METHODS: We analysed 277,555 known SARS-CoV-2 infection records for Ontario, Canada, from 23 January 2020 to 16 February 2021 and estimated the age distributions of hospitalizations, Intensive Care Unit admissions, intubations, and ventilations. We quantified the probability of hospitalization given known SARS-CoV-2 infection, and of survival given COVID-19-related hospitalization. RESULTS: The distribution of hospitalizations peaks with a wide plateau covering ages 60–90, whereas deaths are concentrated in ages 80+. The estimated probability of hospitalization given known infection reaches a maximum of 27.8% at age 80 (95% CI 26.0%–29.7%). The probability of survival given hospitalization is nearly 100% for adults younger than 40, but declines substantially after this age; for example, a hospitalized 54-year-old patient has a 91.7% chance of surviving COVID-19 (95% CI 88.3%–94.4%). CONCLUSIONS: Our study demonstrates a significant need for hospitalization in middle-aged individuals and young seniors. This need is not captured by the distribution of deaths, which is heavily concentrated in very old ages. The probability of survival given hospitalization for COVID-19 is lower than is generally perceived for patients over 40. If acute care capacity is exceeded due to an increase in COVID-19 prevalence, the distribution of deaths could expand toward younger ages. These results suggest that vaccine programs should aim to prevent infection not only in old seniors, but also in young seniors and middle-aged individuals, to protect them from serious illness and to limit stress on the healthcare system.
format Online
Article
Text
id pubmed-8040357
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-80403572021-04-12 Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada Papst, Irena Li, Michael Champredon, David Bolker, Benjamin M. Dushoff, Jonathan D. Earn, David J. BMC Public Health Research Article BACKGROUND: Patient age is one of the most salient clinical indicators of risk from COVID-19. Age-specific distributions of known SARS-CoV-2 infections and COVID-19-related deaths are available for many regions. Less attention has been given to the age distributions of serious medical interventions administered to COVID-19 patients, which could reveal sources of potential pressure on the healthcare system should SARS-CoV-2 prevalence increase, and could inform mass vaccination strategies. The aim of this study is to quantify the relationship between COVID-19 patient age and serious outcomes of the disease, beyond fatalities alone. METHODS: We analysed 277,555 known SARS-CoV-2 infection records for Ontario, Canada, from 23 January 2020 to 16 February 2021 and estimated the age distributions of hospitalizations, Intensive Care Unit admissions, intubations, and ventilations. We quantified the probability of hospitalization given known SARS-CoV-2 infection, and of survival given COVID-19-related hospitalization. RESULTS: The distribution of hospitalizations peaks with a wide plateau covering ages 60–90, whereas deaths are concentrated in ages 80+. The estimated probability of hospitalization given known infection reaches a maximum of 27.8% at age 80 (95% CI 26.0%–29.7%). The probability of survival given hospitalization is nearly 100% for adults younger than 40, but declines substantially after this age; for example, a hospitalized 54-year-old patient has a 91.7% chance of surviving COVID-19 (95% CI 88.3%–94.4%). CONCLUSIONS: Our study demonstrates a significant need for hospitalization in middle-aged individuals and young seniors. This need is not captured by the distribution of deaths, which is heavily concentrated in very old ages. The probability of survival given hospitalization for COVID-19 is lower than is generally perceived for patients over 40. If acute care capacity is exceeded due to an increase in COVID-19 prevalence, the distribution of deaths could expand toward younger ages. These results suggest that vaccine programs should aim to prevent infection not only in old seniors, but also in young seniors and middle-aged individuals, to protect them from serious illness and to limit stress on the healthcare system. BioMed Central 2021-04-12 /pmc/articles/PMC8040357/ /pubmed/33845807 http://dx.doi.org/10.1186/s12889-021-10611-4 Text en © The Author(s) 2021 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/) . 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
Papst, Irena
Li, Michael
Champredon, David
Bolker, Benjamin M.
Dushoff, Jonathan
D. Earn, David J.
Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada
title Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada
title_full Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada
title_fullStr Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada
title_full_unstemmed Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada
title_short Age-dependence of healthcare interventions for COVID-19 in Ontario, Canada
title_sort age-dependence of healthcare interventions for covid-19 in ontario, canada
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8040357/
https://www.ncbi.nlm.nih.gov/pubmed/33845807
http://dx.doi.org/10.1186/s12889-021-10611-4
work_keys_str_mv AT papstirena agedependenceofhealthcareinterventionsforcovid19inontariocanada
AT limichael agedependenceofhealthcareinterventionsforcovid19inontariocanada
AT champredondavid agedependenceofhealthcareinterventionsforcovid19inontariocanada
AT bolkerbenjaminm agedependenceofhealthcareinterventionsforcovid19inontariocanada
AT dushoffjonathan agedependenceofhealthcareinterventionsforcovid19inontariocanada
AT dearndavidj agedependenceofhealthcareinterventionsforcovid19inontariocanada