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

被引:3
作者
Funk, Tjede [1 ]
Innocenti, Francesco [1 ,2 ]
Dias, Joana Gomes [1 ]
Nerlander, Lina [1 ]
Melillo, Tanya [3 ]
Gauci, Charmaine [4 ]
Melillo, Jackie M. [3 ]
Lenz, Patrik [5 ]
Sebestova, Helena [5 ]
Slezak, Pavel [6 ]
Vlckova, Iva [5 ]
Berild, Jacob Dag [7 ]
Mauroy, Camilla [7 ]
Seppala, Elina [7 ,8 ]
Tonnessen, Ragnhild [7 ,9 ]
Vergison, Anne [10 ]
Mossong, Joel [10 ]
Masi, Silvana [10 ]
Huiart, Laetitia [10 ]
Cullen, Gillian [11 ]
Murphy, Niamh [11 ]
O'Connor, Lois [11 ]
O'Donnell, Joan [11 ]
Mook, Piers [12 ]
Pebody, Richard G. [12 ]
Bundle, Nick [1 ]
机构
[1] European Ctr Dis Prevent & Control ECDC, Stockholm, Sweden
[2] Reg Hlth Agcy Tuscany, Epidemiol Unit, Florence, Italy
[3] Superintendence Publ Hlth, Infect Dis Prevent & Control Unit, Gwardamanga, Malta
[4] Superintendence Publ Hlth, Valletta, Malta
[5] Natl Inst Publ Hlth, Dept Biostat, Prague, Czech Republic
[6] Natl Inst Publ Hlth, Dept Infect Dis Epidemiol, Prague, Czech Republic
[7] Norwegian Inst Publ Hlth, Div Infect Control, Oslo, Norway
[8] European Ctr Dis Prevent & Control ECDC, European Programme Intervent Epidemiol Training E, Stockholm, Sweden
[9] European Ctr Dis Prevent & Control ECDC, European Publ Hlth Microbiol Training Programme E, Stockholm, Sweden
[10] Hlth Directorate, Luxembourg, Luxembourg
[11] HSE Hlth Protect Surveillance Ctr, Dublin, Ireland
[12] WHO Reg Off Europe, Copenhagen, Denmark
关键词
D O I
10.2807/1560-7917.ES.2022.27.35.2100883
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
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页数:14
相关论文
共 22 条
[1]  
[Anonymous], 2020, WHO sage roadmap for prioritizing uses of covid-19 vaccines in the context of limited SUPPLY
[2]   Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list [J].
Bayliss E.A. ;
Bayliss M.S. ;
Ware Jr. J.E. ;
Steiner J.F. .
Health and Quality of Life Outcomes, 2 (1)
[3]   Underlying conditions and risk of hospitalisation, ICU admission and mortality among those with COVID-19 in Ireland: A national surveillance study [J].
Bennett, Kathleen E. ;
Mullooly, Maeve ;
O'Loughlin, Mark ;
Fitzgerald, Margaret ;
O'Donnell, Joan ;
O'Connor, Lois ;
Oza, Ajay ;
Cuddihy, John .
LANCET REGIONAL HEALTH-EUROPE, 2021, 5
[4]   Charlson Comorbidity Index Score and Risk of Severe Outcome and Death in Danish COVID-19 Patients [J].
Christensen, Daniel Molager ;
Strange, Jarl Emanuel ;
Gislason, Gunnar ;
Torp-Pedersen, Christian ;
Gerds, Thomas ;
Fosbol, Emil ;
Phelps, Matthew .
JOURNAL OF GENERAL INTERNAL MEDICINE, 2020, 35 (09) :2801-2803
[5]   Features of severe COVID-19: A systematic review and meta-analysis [J].
Del Sole, Francesco ;
Farcomeni, Alessio ;
Loffredo, Lorenzo ;
Carnevale, Roberto ;
Menichelli, Danilo ;
Vicario, Tommasa ;
Pignatelli, Pasquale ;
Pastori, Daniele .
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, 2020, 50 (10)
[6]  
European Centre for Disease Prevention and Control (ECDC), 2021, TESSY EUR SURV SYST
[7]  
European Centre for Disease Prevention and Control (ECDC), 2022, OVERVIEW IMPLEMENTAT
[8]  
European Centre for Disease Prevention and Control (ECDC), 2021, COVID 19 SURV REP TE
[9]  
European Medicines Agency (EMA), 2021, Comirnaty COVID-19 Vaccine: EMA Recommends Approval for Children Aged 5 to 11
[10]   Predictors of adverse prognosis in COVID-19: A systematic review and meta-analysis [J].
Figliozzi, Stefano ;
Masci, Pier Giorgio ;
Ahmadi, Navid ;
Tondi, Lara ;
Koutli, Evangelia ;
Aimo, Alberto ;
Stamatelopoulos, Kimon ;
Dimopoulos, Meletios-Athanasios ;
Caforio, Alida L. P. ;
Georgiopoulos, Georgios .
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, 2020, 50 (10)