• Je něco špatně v tomto záznamu ?

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

T. Funk, F. Innocenti, J. Gomes Dias, L. Nerlander, T. Melillo, C. Gauci, JM. Melillo, P. Lenz, H. Sebestova, P. Slezak, I. Vlckova, JD. Berild, C. Mauroy, E. Seppälä, R. Tønnessen, A. Vergison, J. Mossong, S. Masi, L. Huiart, G. Cullen, N....

. 2022 ; 27 (35) : . [pub] -

Jazyk angličtina Země Švédsko

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc22024571

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.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22024571
003      
CZ-PrNML
005      
20221031100502.0
007      
ta
008      
221017s2022 sw f 000 0|eng||
009      
AR
024    7_
$a 10.2807/1560-7917.ES.2022.27.35.2100883 $2 doi
035    __
$a (PubMed)36052721
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a sw
100    1_
$a Funk, Tjede $u European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
245    10
$a 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 / $c T. Funk, F. Innocenti, J. Gomes Dias, L. Nerlander, T. Melillo, C. Gauci, JM. Melillo, P. Lenz, H. Sebestova, P. Slezak, I. Vlckova, JD. Berild, C. Mauroy, E. Seppälä, R. Tønnessen, A. Vergison, J. Mossong, S. Masi, L. Huiart, G. Cullen, N. Murphy, L. O'Connor, J. O'Donnell, P. Mook, RG. Pebody, N. Bundle
520    9_
$a 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.
650    _2
$a věkové faktory $7 D000367
650    _2
$a senioři $7 D000368
650    12
$a COVID-19 $7 D000086382
650    _2
$a mortalita v nemocnicích $7 D017052
650    _2
$a hospitalizace $7 D006760
650    _2
$a lidé $7 D006801
650    _2
$a SARS-CoV-2 $7 D000086402
655    _2
$a časopisecké články $7 D016428
700    1_
$a Innocenti, Francesco $u European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden $u Epidemiology Unit, Regional Health Agency of Tuscany, Florence, Italy
700    1_
$a Gomes Dias, Joana $u European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
700    1_
$a Nerlander, Lina $u European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
700    1_
$a Melillo, Tanya $u Infectious Disease Prevention and Control Unit, Superintendence of Public Health, Gwardamanġa, Malta
700    1_
$a Gauci, Charmaine $u Superintendence of Public Health, Valletta, Malta
700    1_
$a Melillo, Jackie M $u Infectious Disease Prevention and Control Unit, Superintendence of Public Health, Gwardamanġa, Malta
700    1_
$a Lenz, Patrik $u Department of Biostatistics, National Institute of Public Health, Prague, Czechia
700    1_
$a Sebestova, Helena $u Department of Biostatistics, National Institute of Public Health, Prague, Czechia
700    1_
$a Slezak, Pavel $u Department of Infectious Diseases Epidemiology, National Institute of Public Health, Prague, Czechia
700    1_
$a Vlckova, Iva $u Department of Biostatistics, National Institute of Public Health, Prague, Czechia
700    1_
$a Berild, Jacob Dag $u Division of Infection Control, Norwegian Institute of Public Health, Oslo, Norway
700    1_
$a Mauroy, Camilla $u Division of Infection Control, Norwegian Institute of Public Health, Oslo, Norway
700    1_
$a Seppälä, Elina $u Division of Infection Control, Norwegian Institute of Public Health, Oslo, Norway $u European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
700    1_
$a Tønnessen, Ragnhild $u Division of Infection Control, Norwegian Institute of Public Health, Oslo, Norway $u European Public Health Microbiology Training Programme (EUPHEM), European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
700    1_
$a Vergison, Anne $u Health Directorate, Luxembourg, Luxembourg
700    1_
$a Mossong, Joël $u Health Directorate, Luxembourg, Luxembourg
700    1_
$a Masi, Silvana $u Health Directorate, Luxembourg, Luxembourg
700    1_
$a Huiart, Laetitia $u Health Directorate, Luxembourg, Luxembourg
700    1_
$a Cullen, Gillian $u HSE - Health Protection Surveillance Centre, Dublin, Ireland
700    1_
$a Murphy, Niamh $u HSE - Health Protection Surveillance Centre, Dublin, Ireland
700    1_
$a O'Connor, Lois $u HSE - Health Protection Surveillance Centre, Dublin, Ireland
700    1_
$a O'Donnell, Joan $u HSE - Health Protection Surveillance Centre, Dublin, Ireland
700    1_
$a Mook, Piers $u World Health Organization Regional Office for Europe, Copenhagen, Denmark
700    1_
$a Pebody, Richard G $u World Health Organization Regional Office for Europe, Copenhagen, Denmark
700    1_
$a Bundle, Nick $u European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
773    0_
$w MED00174364 $t Euro surveillance $x 1560-7917 $g Roč. 27, č. 35 (2022)
856    41
$u https://pubmed.ncbi.nlm.nih.gov/36052721 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20221017 $b ABA008
991    __
$a 20221031100459 $b ABA008
999    __
$a ok $b bmc $g 1854347 $s 1175861
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 27 $c 35 $e - $i 1560-7917 $m Euro surveillance $n Euro Surveill $x MED00174364
LZP    __
$a Pubmed-20221017

Najít záznam

Citační ukazatele

Možnosti archivace