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Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform

BACKGROUND: Mortality from COVID-19 shows a strong relationship with age and pre-existing medical conditions, as does mortality from other causes. We aimed to investigate how specific factors are differentially associated with COVID-19 mortality as compared to mortality from causes other than COVID-...

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Autores principales: Bhaskaran, Krishnan, Bacon, Sebastian, Evans, Stephen JW, Bates, Chris J, Rentsch, Christopher T, MacKenna, Brian, Tomlinson, Laurie, Walker, Alex J, Schultze, Anna, Morton, Caroline E, Grint, Daniel, Mehrkar, Amir, Eggo, Rosalind M, Inglesby, Peter, Douglas, Ian J, McDonald, Helen I, Cockburn, Jonathan, Williamson, Elizabeth J, Evans, David, Curtis, Helen J, Hulme, William J, Parry, John, Hester, Frank, Harper, Sam, Spiegelhalter, David, Smeeth, Liam, Goldacre, Ben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106239/
https://www.ncbi.nlm.nih.gov/pubmed/33997835
http://dx.doi.org/10.1016/j.lanepe.2021.100109
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author Bhaskaran, Krishnan
Bacon, Sebastian
Evans, Stephen JW
Bates, Chris J
Rentsch, Christopher T
MacKenna, Brian
Tomlinson, Laurie
Walker, Alex J
Schultze, Anna
Morton, Caroline E
Grint, Daniel
Mehrkar, Amir
Eggo, Rosalind M
Inglesby, Peter
Douglas, Ian J
McDonald, Helen I
Cockburn, Jonathan
Williamson, Elizabeth J
Evans, David
Curtis, Helen J
Hulme, William J
Parry, John
Hester, Frank
Harper, Sam
Spiegelhalter, David
Smeeth, Liam
Goldacre, Ben
author_facet Bhaskaran, Krishnan
Bacon, Sebastian
Evans, Stephen JW
Bates, Chris J
Rentsch, Christopher T
MacKenna, Brian
Tomlinson, Laurie
Walker, Alex J
Schultze, Anna
Morton, Caroline E
Grint, Daniel
Mehrkar, Amir
Eggo, Rosalind M
Inglesby, Peter
Douglas, Ian J
McDonald, Helen I
Cockburn, Jonathan
Williamson, Elizabeth J
Evans, David
Curtis, Helen J
Hulme, William J
Parry, John
Hester, Frank
Harper, Sam
Spiegelhalter, David
Smeeth, Liam
Goldacre, Ben
author_sort Bhaskaran, Krishnan
collection PubMed
description BACKGROUND: Mortality from COVID-19 shows a strong relationship with age and pre-existing medical conditions, as does mortality from other causes. We aimed to investigate how specific factors are differentially associated with COVID-19 mortality as compared to mortality from causes other than COVID-19. METHODS: Working on behalf of NHS England, we carried out a cohort study within the OpenSAFELY platform. Primary care data from England were linked to national death registrations. We included all adults (aged ≥18 years) in the database on 1(st) February 2020 and with >1 year of continuous prior registration; the cut-off date for deaths was 9(th) November 2020. Associations between individual-level characteristics and COVID-19 and non-COVID deaths, classified according to the presence of a COVID-19 code as the underlying cause of death on the death certificate, were estimated by fitting age- and sex-adjusted logistic models for these two outcomes. FINDINGS: 17,456,515 individuals were included. 17,063 died from COVID-19 and 134,316 from other causes. Most factors associated with COVID-19 death were similarly associated with non-COVID death, but the magnitudes of association differed. Older age was more strongly associated with COVID-19 death than non-COVID death (e.g. ORs 40.7 [95% CI 37.7-43.8] and 29.6 [28.9-30.3] respectively for ≥80 vs 50-59 years), as was male sex, deprivation, obesity, and some comorbidities. Smoking, history of cancer and chronic liver disease had stronger associations with non-COVID than COVID-19 death. All non-white ethnic groups had higher odds than white of COVID-19 death (OR for Black: 2.20 [1.96-2.47], South Asian: 2.33 [2.16-2.52]), but lower odds than white of non-COVID death (Black: 0.88 [0.83-0.94], South Asian: 0.78 [0.75-0.81]). INTERPRETATION: Similar associations of most individual-level factors with COVID-19 and non-COVID death suggest that COVID-19 largely multiplies existing risks faced by patients, with some notable exceptions. Identifying the unique factors contributing to the excess COVID-19 mortality risk among non-white groups is a priority to inform efforts to reduce deaths from COVID-19. FUNDING: Wellcome, Royal Society, National Institute for Health Research, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, Health Data Research UK.
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spelling pubmed-81062392021-05-10 Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform Bhaskaran, Krishnan Bacon, Sebastian Evans, Stephen JW Bates, Chris J Rentsch, Christopher T MacKenna, Brian Tomlinson, Laurie Walker, Alex J Schultze, Anna Morton, Caroline E Grint, Daniel Mehrkar, Amir Eggo, Rosalind M Inglesby, Peter Douglas, Ian J McDonald, Helen I Cockburn, Jonathan Williamson, Elizabeth J Evans, David Curtis, Helen J Hulme, William J Parry, John Hester, Frank Harper, Sam Spiegelhalter, David Smeeth, Liam Goldacre, Ben Lancet Reg Health Eur Research Paper BACKGROUND: Mortality from COVID-19 shows a strong relationship with age and pre-existing medical conditions, as does mortality from other causes. We aimed to investigate how specific factors are differentially associated with COVID-19 mortality as compared to mortality from causes other than COVID-19. METHODS: Working on behalf of NHS England, we carried out a cohort study within the OpenSAFELY platform. Primary care data from England were linked to national death registrations. We included all adults (aged ≥18 years) in the database on 1(st) February 2020 and with >1 year of continuous prior registration; the cut-off date for deaths was 9(th) November 2020. Associations between individual-level characteristics and COVID-19 and non-COVID deaths, classified according to the presence of a COVID-19 code as the underlying cause of death on the death certificate, were estimated by fitting age- and sex-adjusted logistic models for these two outcomes. FINDINGS: 17,456,515 individuals were included. 17,063 died from COVID-19 and 134,316 from other causes. Most factors associated with COVID-19 death were similarly associated with non-COVID death, but the magnitudes of association differed. Older age was more strongly associated with COVID-19 death than non-COVID death (e.g. ORs 40.7 [95% CI 37.7-43.8] and 29.6 [28.9-30.3] respectively for ≥80 vs 50-59 years), as was male sex, deprivation, obesity, and some comorbidities. Smoking, history of cancer and chronic liver disease had stronger associations with non-COVID than COVID-19 death. All non-white ethnic groups had higher odds than white of COVID-19 death (OR for Black: 2.20 [1.96-2.47], South Asian: 2.33 [2.16-2.52]), but lower odds than white of non-COVID death (Black: 0.88 [0.83-0.94], South Asian: 0.78 [0.75-0.81]). INTERPRETATION: Similar associations of most individual-level factors with COVID-19 and non-COVID death suggest that COVID-19 largely multiplies existing risks faced by patients, with some notable exceptions. Identifying the unique factors contributing to the excess COVID-19 mortality risk among non-white groups is a priority to inform efforts to reduce deaths from COVID-19. FUNDING: Wellcome, Royal Society, National Institute for Health Research, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, Health Data Research UK. Elsevier 2021-05-08 /pmc/articles/PMC8106239/ /pubmed/33997835 http://dx.doi.org/10.1016/j.lanepe.2021.100109 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Paper
Bhaskaran, Krishnan
Bacon, Sebastian
Evans, Stephen JW
Bates, Chris J
Rentsch, Christopher T
MacKenna, Brian
Tomlinson, Laurie
Walker, Alex J
Schultze, Anna
Morton, Caroline E
Grint, Daniel
Mehrkar, Amir
Eggo, Rosalind M
Inglesby, Peter
Douglas, Ian J
McDonald, Helen I
Cockburn, Jonathan
Williamson, Elizabeth J
Evans, David
Curtis, Helen J
Hulme, William J
Parry, John
Hester, Frank
Harper, Sam
Spiegelhalter, David
Smeeth, Liam
Goldacre, Ben
Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
title Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
title_full Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
title_fullStr Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
title_full_unstemmed Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
title_short Factors associated with deaths due to COVID-19 versus other causes: population-based cohort analysis of UK primary care data and linked national death registrations within the OpenSAFELY platform
title_sort factors associated with deaths due to covid-19 versus other causes: population-based cohort analysis of uk primary care data and linked national death registrations within the opensafely platform
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106239/
https://www.ncbi.nlm.nih.gov/pubmed/33997835
http://dx.doi.org/10.1016/j.lanepe.2021.100109
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