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
Jazyk angličtina Země Švédsko Médium print
Typ dokumentu časopisecké články
Grantová podpora
001
World Health Organization - International
PubMed
36052721
PubMed Central
PMC9438397
DOI
10.2807/1560-7917.es.2022.27.35.2100883
Knihovny.cz E-zdroje
- Klíčová slova
- COVID-19, SARS-CoV-2, death, hospitalisation, in-hospital death, underlying health conditions,
- MeSH
- COVID-19 * MeSH
- hospitalizace MeSH
- lidé MeSH
- mortalita v nemocnicích MeSH
- SARS-CoV-2 MeSH
- senioři MeSH
- věkové faktory MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
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.
Department of Biostatistics National Institute of Public Health Prague Czechia
Department of Infectious Diseases Epidemiology National Institute of Public Health Prague Czechia
Division of Infection Control Norwegian Institute of Public Health Oslo Norway
Epidemiology Unit Regional Health Agency of Tuscany Florence Italy
European Centre for Disease Prevention and Control Stockholm Sweden
European Programme for Intervention Epidemiology Training Stockholm Sweden
European Public Health Microbiology Training Programme Stockholm Sweden
Health Directorate Luxembourg Luxembourg
HSE Health Protection Surveillance Centre Dublin Ireland
Infectious Disease Prevention and Control Unit Superintendence of Public Health Gwardamanġa Malta
Superintendence of Public Health Valletta Malta
World Health Organization Regional Office for Europe Copenhagen Denmark
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Tejpal A, Gianos E, Cerise J, Hirsch JS, Rosen S, Kohn N, et al. Sex-based differences in COVID-19 outcomes. J Womens Health (Larchmt). 2021;30(4):492-501. 10.1089/jwh.2020.8974 PubMed DOI PMC
Li X, Zhong X, Wang Y, Zeng X, Luo T, Liu Q. Clinical determinants of the severity of COVID-19: A systematic review and meta-analysis. PLoS One. 2021;16(5):e0250602. 10.1371/journal.pone.0250602 PubMed DOI PMC
Bennett KE, Mullooly M, O’Loughlin M, Fitzgerald M, O’Donnell J, O’Connor L, et al. Underlying conditions and risk of hospitalisation, ICU admission and mortality among those with COVID-19 in Ireland: A national surveillance study. Lancet Reg Health Eur. 2021;5:100097. 10.1016/j.lanepe.2021.100097 PubMed DOI PMC
Del Sole F, Farcomeni A, Loffredo L, Carnevale R, Menichelli D, Vicario T, et al. Features of severe COVID-19: A systematic review and meta-analysis. Eur J Clin Invest. 2020;50(10):e13378. 10.1111/eci.13378 PubMed DOI PMC
Hajat C, Stein E. The global burden of multiple chronic conditions: A narrative review. Prev Med Rep. 2018;12:284-93. 10.1016/j.pmedr.2018.10.008 PubMed DOI PMC
Bayliss EA, Bayliss MS, Ware JE, Jr, Steiner JF. Predicting declines in physical function in persons with multiple chronic medical conditions: what we can learn from the medical problem list. Health Qual Life Outcomes. 2004;2(1):47. 10.1186/1477-7525-2-47 PubMed DOI PMC
Fortin M, Bravo G, Hudon C, Lapointe L, Almirall J, Dubois M-F, et al. Relationship between multimorbidity and health-related quality of life of patients in primary care. Qual Life Res. 2006;15(1):83-91. 10.1007/s11136-005-8661-z PubMed DOI
European Centre for Disease Prevention and Control (ECDC). Overview of the implementation of COVID-19 vaccination strategies and deployment plans in the EU/EEA. Stockholm: ECDC; 2022. Available from: https://www.ecdc.europa.eu/en/publications-data/overview-implementation-covid-19-vaccination-strategies-and-vaccine-deployment
World Health Organization (WHO). WHO SAGE roadmap for prioritizing the use of COVID-19 vaccines in the context of limited supply: an approach to inform planning and subsequent recommendations based upon epidemiologic setting and vaccine supply scenarios. Version 1.1. Geneva: WHO; 2020. Available from: https://apps.who.int/iris/handle/10665/341448
European Medicines Agency (EMA). Comirnaty COVID-19 vaccine: EMA recommends approval for children aged 5 to 11. Amsterdam: EMA; 2021. Available from: https://www.ema.europa.eu/en/news/comirnaty-covid-19-vaccine-ema-recommends-approval-children-aged-5-11
European Centre for Disease Prevention and Control (ECDC). TESSy - The European Surveillance System. Coronavirus disease 2019 (COVID-19) data. Reporting protocol. Version 5. Stockholm: ECDC; 2021. Available from: https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-Reporting-Protocol-v4.2.pdf
European Centre for Disease Prevention and Control (ECDC). COVID-19 surveillance report. TESSy data quality. Stockholm: ECDC; 2021. Available from: https://covid19-surveillance-report.ecdc.europa.eu/#4_TESSy_data_quality
Lüdecke D. Technical details: difference between ggpredict() and ggemmeans(). Town: Publisher; 2020. Available from: https://cran.microsoft.com/snapshot/2020-04-20/web/packages/ggeffects/vignettes/technical_differencepredictemmeans.html
Kompaniyets L, Agathis NT, Nelson JM, Preston LE, Ko JY, Belay B, et al. Underlying medical conditions associated with severe COVID-19 illness among children. JAMA Netw Open. 2021;4(6):e2111182. 10.1001/jamanetworkopen.2021.11182 PubMed DOI PMC
Graff K, Smith C, Silveira L, Jung S, Curran-Hays S, Jarjour J, et al. Risk factors for severe COVID-19 in children. Pediatr Infect Dis J. 2021;40(4):e137-45. 10.1097/INF.0000000000003043 PubMed DOI
Kim L, Garg S, O’Halloran A, Whitaker M, Pham H, Anderson EJ, et al. Risk factors for intensive care unit admission and in-hospital mortality among hospitalized adults identified through the US coronavirus disease 2019 (COVID-19)-associated hospitalization surveillance network (COVID-NET). Clin Infect Dis. 2021;72(9):e206-14. 10.1093/cid/ciaa1012 PubMed DOI PMC
Kim H-J, Hwang H, Hong H, Yim J-J, Lee J. A systematic review and meta-analysis of regional risk factors for critical outcomes of COVID-19 during early phase of the pandemic. Sci Rep. 2021;11(1):9784. 10.1038/s41598-021-89182-8 PubMed DOI PMC
Christensen DM, Strange JE, Gislason G, Torp-Pedersen C, Gerds T, Fosbøl E, et al. Charlson comorbidity index score and risk of severe outcome and death in Danish COVID-19 patients. J Gen Intern Med. 2020;35(9):2801-3. 10.1007/s11606-020-05991-z PubMed DOI PMC
Tuty Kuswardhani RA, Henrina J, Pranata R, Anthonius Lim M, Lawrensia S, Suastika K. Charlson comorbidity index and a composite of poor outcomes in COVID-19 patients: A systematic review and meta-analysis. Diabetes Metab Syndr. 2020;14(6):2103-9. 10.1016/j.dsx.2020.10.022 PubMed DOI PMC
Rosenthal N, Cao Z, Gundrum J, Sianis J, Safo S. Risk factors associated with in-hospital mortality in a US national sample of patients with COVID-19. JAMA Netw Open. 2020;3(12):e2029058. 10.1001/jamanetworkopen.2020.29058 PubMed DOI PMC
Figliozzi S, Masci PG, Ahmadi N, Tondi L, Koutli E, Aimo A, et al. Predictors of adverse prognosis in COVID-19: A systematic review and meta-analysis. Eur J Clin Invest. 2020;50(10):e13362. 10.1111/eci.13362 PubMed DOI
Reddy RK, Charles WN, Sklavounos A, Dutt A, Seed PT, Khajuria A. The effect of smoking on COVID-19 severity: A systematic review and meta-analysis. J Med Virol. 2021;93(2):1045-56. 10.1002/jmv.26389 PubMed DOI PMC
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