Evidence map›Paper›PMID 36052721›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2022

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.

Tjede Funk, Francesco Innocenti, Joana Gomes Dias, Lina Nerlander, Tanya Melillo, Charmaine Gauci, Jackie M Melillo, Patrik Lenz, Helena Sebestova, Pavel Slezak and 16 more

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 7 institutions in 7 countries.

Tjede FunkEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Francesco InnocentiEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Joana Gomes DiasEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Lina NerlanderEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
Tanya MelilloInfectious Disease Prevention and Control Unit, Superintendence of Public Health, Gwardamanġa, Malta.
Charmaine GauciSuperintendence of Public Health, Valletta, Malta.
Jackie M MelilloInfectious Disease Prevention and Control Unit, Superintendence of Public Health, Gwardamanġa, Malta.
Patrik LenzDepartment of Biostatistics, National Institute of Public Health, Prague, Czechia.
Helena SebestovaDepartment of Biostatistics, National Institute of Public Health, Prague, Czechia.
Pavel SlezakDepartment of Infectious Diseases Epidemiology, National Institute of Public Health, Prague, Czechia.
Iva VlckovaDepartment of Biostatistics, National Institute of Public Health, Prague, Czechia.
Jacob Dag BerildDivision of Infection Control, Norwegian Institute of Public Health, Oslo, Norway.
Camilla MauroyDivision of Infection Control, Norwegian Institute of Public Health, Oslo, Norway.
Elina SeppäläDivision of Infection Control, Norwegian Institute of Public Health, Oslo, Norway.
Ragnhild TønnessenDivision of Infection Control, Norwegian Institute of Public Health, Oslo, Norway.
Anne VergisonHealth Directorate, Luxembourg, Luxembourg.
Joël MossongHealth Directorate, Luxembourg, Luxembourg.
Silvana MasiHealth Directorate, Luxembourg, Luxembourg.
Laetitia HuiartHealth Directorate, Luxembourg, Luxembourg.
Gillian CullenHSE - Health Protection Surveillance Centre, Dublin, Ireland.
Niamh MurphyHSE - Health Protection Surveillance Centre, Dublin, Ireland.
Lois O'ConnorHSE - Health Protection Surveillance Centre, Dublin, Ireland.
Joan O'DonnellHSE - Health Protection Surveillance Centre, Dublin, Ireland.
Piers MookWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
Richard G PebodyWorld Health Organization Regional Office for Europe, Copenhagen, Denmark.
Nick BundleEuropean Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden.
European Centre for Disease Prevention and Control · SEHealth Protection Surveillance Centre · IELuxembourg Institute of Health · LUNational Institute of Public Health · CZNorwegian Institute of Public Health · NOWorld Health Organization Regional Office for Europe · DKMinistry for Health · MT

Funding

World Health Organization 001
6 · The paper itself

Abstract

BackgroundUnderlying conditions are risk factors for severe COVID-19 outcomes but evidence is limited about how risks differ with age.AimWe sought to estimate age-specific associations between underlying conditions and hospitalisation, death and in-hospital death among COVID-19 cases.MethodsWe 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.ResultsCancer, 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 all outcomes and in all age groups.ConclusionWhile 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.

Indexed as

COVID-19AgedAge FactorsHospitalizationHospital MortalityHumansSARS-CoV-2COVID-19deathhospitalisationin-hospital deathSARS-CoV-2underlying health conditions

Identifiers

PMID36052721
PMCPMC9438397
OpenAlexW4294243299

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.