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COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors
Most studies of severe/fatal COVID-19 risk have used routine/hospitalisation data without detailed pre-morbid characterisation. Using the community-based UK Biobank cohort, we investigate risk factors for COVID-19 mortality in comparison with non-COVID-19 mortality. We investigated demographic, soci...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882869/ https://www.ncbi.nlm.nih.gov/pubmed/33587202 http://dx.doi.org/10.1007/s10654-021-00722-y |
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author | Elliott, Joshua Bodinier, Barbara Whitaker, Matthew Delpierre, Cyrille Vermeulen, Roel Tzoulaki, Ioanna Elliott, Paul Chadeau-Hyam, Marc |
author_facet | Elliott, Joshua Bodinier, Barbara Whitaker, Matthew Delpierre, Cyrille Vermeulen, Roel Tzoulaki, Ioanna Elliott, Paul Chadeau-Hyam, Marc |
author_sort | Elliott, Joshua |
collection | PubMed |
description | Most studies of severe/fatal COVID-19 risk have used routine/hospitalisation data without detailed pre-morbid characterisation. Using the community-based UK Biobank cohort, we investigate risk factors for COVID-19 mortality in comparison with non-COVID-19 mortality. We investigated demographic, social (education, income, housing, employment), lifestyle (smoking, drinking, body mass index), biological (lipids, cystatin C, vitamin D), medical (comorbidities, medications) and environmental (air pollution) data from UK Biobank (N = 473,550) in relation to 459 COVID-19 and 2626 non-COVID-19 deaths to 21 September 2020. We used univariate, multivariable and penalised regression models. Age (OR = 2.76 [2.18–3.49] per S.D. [8.1 years], p = 2.6 × 10(–17)), male sex (OR = 1.47 [1.26–1.73], p = 1.3 × 10(–6)) and Black versus White ethnicity (OR = 1.21 [1.12–1.29], p = 3.0 × 10(–7)) were independently associated with and jointly explanatory of (area under receiver operating characteristic curve, AUC = 0.79) increased risk of COVID-19 mortality. In multivariable regression, alongside demographic covariates, being a healthcare worker, current smoker, having cardiovascular disease, hypertension, diabetes, autoimmune disease, and oral steroid use at enrolment were independently associated with COVID-19 mortality. Penalised regression models selected income, cardiovascular disease, hypertension, diabetes, cystatin C, and oral steroid use as jointly contributing to COVID-19 mortality risk; Black ethnicity, hypertension and oral steroid use contributed to COVID-19 but not non-COVID-19 mortality. Age, male sex and Black ethnicity, as well as comorbidities and oral steroid use at enrolment were associated with increased risk of COVID-19 death. Our results suggest that previously reported associations of COVID-19 mortality with body mass index, low vitamin D, air pollutants, renin–angiotensin–aldosterone system inhibitors may be explained by the aforementioned factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-021-00722-y. |
format | Online Article Text |
id | pubmed-7882869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-78828692021-02-16 COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors Elliott, Joshua Bodinier, Barbara Whitaker, Matthew Delpierre, Cyrille Vermeulen, Roel Tzoulaki, Ioanna Elliott, Paul Chadeau-Hyam, Marc Eur J Epidemiol Covid-19 Most studies of severe/fatal COVID-19 risk have used routine/hospitalisation data without detailed pre-morbid characterisation. Using the community-based UK Biobank cohort, we investigate risk factors for COVID-19 mortality in comparison with non-COVID-19 mortality. We investigated demographic, social (education, income, housing, employment), lifestyle (smoking, drinking, body mass index), biological (lipids, cystatin C, vitamin D), medical (comorbidities, medications) and environmental (air pollution) data from UK Biobank (N = 473,550) in relation to 459 COVID-19 and 2626 non-COVID-19 deaths to 21 September 2020. We used univariate, multivariable and penalised regression models. Age (OR = 2.76 [2.18–3.49] per S.D. [8.1 years], p = 2.6 × 10(–17)), male sex (OR = 1.47 [1.26–1.73], p = 1.3 × 10(–6)) and Black versus White ethnicity (OR = 1.21 [1.12–1.29], p = 3.0 × 10(–7)) were independently associated with and jointly explanatory of (area under receiver operating characteristic curve, AUC = 0.79) increased risk of COVID-19 mortality. In multivariable regression, alongside demographic covariates, being a healthcare worker, current smoker, having cardiovascular disease, hypertension, diabetes, autoimmune disease, and oral steroid use at enrolment were independently associated with COVID-19 mortality. Penalised regression models selected income, cardiovascular disease, hypertension, diabetes, cystatin C, and oral steroid use as jointly contributing to COVID-19 mortality risk; Black ethnicity, hypertension and oral steroid use contributed to COVID-19 but not non-COVID-19 mortality. Age, male sex and Black ethnicity, as well as comorbidities and oral steroid use at enrolment were associated with increased risk of COVID-19 death. Our results suggest that previously reported associations of COVID-19 mortality with body mass index, low vitamin D, air pollutants, renin–angiotensin–aldosterone system inhibitors may be explained by the aforementioned factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-021-00722-y. Springer Netherlands 2021-02-15 2021 /pmc/articles/PMC7882869/ /pubmed/33587202 http://dx.doi.org/10.1007/s10654-021-00722-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Covid-19 Elliott, Joshua Bodinier, Barbara Whitaker, Matthew Delpierre, Cyrille Vermeulen, Roel Tzoulaki, Ioanna Elliott, Paul Chadeau-Hyam, Marc COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors |
title | COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors |
title_full | COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors |
title_fullStr | COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors |
title_full_unstemmed | COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors |
title_short | COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors |
title_sort | covid-19 mortality in the uk biobank cohort: revisiting and evaluating risk factors |
topic | Covid-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882869/ https://www.ncbi.nlm.nih.gov/pubmed/33587202 http://dx.doi.org/10.1007/s10654-021-00722-y |
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