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Age-specific associations between underlying health conditions and hospitalisation, death and in-hospital death among confirmed COVID-19 cases: a multi-country study based on surveillance data, June to December 2020

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75010330%3A_____%2F22%3A00014134" target="_blank" >RIV/75010330:_____/22:00014134 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2022.27.35.2100883" target="_blank" >https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2022.27.35.2100883</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2807/1560-7917.ES.2022.27.35.2100883" target="_blank" >10.2807/1560-7917.ES.2022.27.35.2100883</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Age-specific associations between underlying health conditions and hospitalisation, death and in-hospital death among confirmed COVID-19 cases: a multi-country study based on surveillance data, June to December 2020

  • Original language description

    Background: Underlying conditions are risk factors for severe COVID-19 outcomes but evidence is limited about how risks differ with age. Aim: We sought to estimate age-specific associations between underlying conditions and hospitalisation, death and in-hospital death among COVID-19 cases. Methods: We analysed case-based COVID-19 data submitted to The European Surveillance System between 2 June and 13 December 2020 by nine European countries. Eleven underlying conditions among cases with only one condition and the number of underlying conditions among multimorbid cases were used as exposures. Adjusted odds ratios (aOR) were estimated using 39 different age-adjusted and age-interaction multivariable logistic regression models, with marginal means from the latter used to estimate probabilities of severe outcome for each condition-age group combination. Results: Cancer, cardiac disorder, diabetes, immunodeficiency, kidney, liver and lung disease, neurological disorders and obesity were associated with elevated risk (aOR: 1.5-5.6) of hospitalisation and death, after controlling for age, sex, reporting period and country. As age increased, age-specific aOR were lower and predicted probabilities higher. However, for some conditions, predicted probabilities were at least as high in younger individuals with the condition as in older cases without it. In multimorbid patients, the aOR for severe disease increased with number of conditions for outcomes and in all age groups. Conclusion: While supporting age-based vaccine roll-out, our findings could inform a more nuanced, age- and condition-specific approach to vaccine prioritisation. This is relevant as countries consider vaccination of younger people, boosters and dosing intervals in response to vaccine escape variants.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30303 - Infectious Diseases

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Euro Surveillance

  • ISSN

    1025-496X

  • e-ISSN

    1560-7917

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    35

  • Country of publishing house

    SE - SWEDEN

  • Number of pages

    14

  • Pages from-to

    2100883

  • UT code for WoS article

    000890390100004

  • EID of the result in the Scopus database

    2-s2.0-85137104249