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

Author:

Funk Tjede1ORCID,Innocenti Francesco21ORCID,Gomes Dias Joana1ORCID,Nerlander Lina1ORCID,Melillo Tanya3,Gauci Charmaine4,Melillo Jackie M3,Lenz Patrik5ORCID,Sebestova Helena5,Slezak Pavel6,Vlckova Iva5,Berild Jacob Dag7,Mauroy Camilla7,Seppälä Elina87,Tønnessen Ragnhild97,Vergison Anne10,Mossong Joël10ORCID,Masi Silvana10,Huiart Laetitia10,Cullen Gillian11,Murphy Niamh11,O’Connor Lois11,O’Donnell Joan11,Mook Piers12,Pebody Richard G12,Bundle Nick1ORCID

Affiliation:

1. European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden

2. Epidemiology Unit, Regional Health Agency of Tuscany, Florence, Italy

3. Infectious Disease Prevention and Control Unit, Superintendence of Public Health, Gwardamanġa, Malta

4. Superintendence of Public Health, Valletta, Malta

5. Department of Biostatistics, National Institute of Public Health, Prague, Czechia

6. Department of Infectious Diseases Epidemiology, National Institute of Public Health, Prague, Czechia

7. Division of Infection Control, Norwegian Institute of Public Health, Oslo, Norway

8. European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden

9. European Public Health Microbiology Training Programme (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden

10. Health Directorate, Luxembourg, Luxembourg

11. HSE - Health Protection Surveillance Centre, Dublin, Ireland

12. World Health Organization Regional Office for Europe, Copenhagen, Denmark

Abstract

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 all 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.

Publisher

European Centre for Disease Control and Prevention (ECDC)

Subject

Virology,Public Health, Environmental and Occupational Health,Epidemiology

Reference22 articles.

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