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Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022
Nature Communications, Volume: 16, Start page: 6059
Swansea University Authors:
Hoda Abbasizanjani , David Powell, Ashley Akbari
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DOI (Published version): 10.1038/s41467-025-59951-4
Abstract
An increased risk of COVID-19 mortality risk among certain ethnic groups is well-reported, however data on ethnic disparities in COVID-19-related cardiovascular disease (CVD) are lacking. We estimated age-standardised incidence rates and adjusted hazard ratios for 28-day mortality and 30-day CVD by...
| Published in: | Nature Communications |
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| ISSN: | 2041-1723 |
| Published: |
Springer Nature
2025
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69881 |
| first_indexed |
2025-07-03T12:52:45Z |
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2025-07-04T06:42:54Z |
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We estimated age-standardised incidence rates and adjusted hazard ratios for 28-day mortality and 30-day CVD by sex for individual ethnicity groups from England and Wales, using linked health and administrative data. We studied 6-level census-based ethnicity group classification, 10-level classification (only for Wales), and 19-level classification as well as any ethnicity sub-groups comprising >1000 individuals each (only for England). COVID-19 28-day mortality and 30-day CVD risk was increased in most non-White ethnic groups in England, and Asian population in Wales, between 23rd January 2020 and 1st April 2022. English data show mortality decreased during the Omicron variant’s dominance, whilst CVD risk [95% confidence interval] remained elevated for certain ethnic groups when compared to White populations (January-April 2022): by 120% [28-280%] in White and Asian men and 58% [32-90%] in Pakistan men, as compared to White British men; and by 75% [13-172%] in Bangladeshi women, 55% [19-102%] in Caribbean women, and 82% [31-153%] in Any Other Ethnic Group women, as compared to White British women. 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2025-07-03T13:57:57.8532216 v2 69881 2025-07-03 Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 93dd7e747f3118a99566c68592a3ddcc 0000-0002-9575-4758 Hoda Abbasizanjani Hoda Abbasizanjani true false fc993a4376907915ea6fe43b0d963bbc David Powell David Powell true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2025-07-03 MEDS An increased risk of COVID-19 mortality risk among certain ethnic groups is well-reported, however data on ethnic disparities in COVID-19-related cardiovascular disease (CVD) are lacking. We estimated age-standardised incidence rates and adjusted hazard ratios for 28-day mortality and 30-day CVD by sex for individual ethnicity groups from England and Wales, using linked health and administrative data. We studied 6-level census-based ethnicity group classification, 10-level classification (only for Wales), and 19-level classification as well as any ethnicity sub-groups comprising >1000 individuals each (only for England). COVID-19 28-day mortality and 30-day CVD risk was increased in most non-White ethnic groups in England, and Asian population in Wales, between 23rd January 2020 and 1st April 2022. English data show mortality decreased during the Omicron variant’s dominance, whilst CVD risk [95% confidence interval] remained elevated for certain ethnic groups when compared to White populations (January-April 2022): by 120% [28-280%] in White and Asian men and 58% [32-90%] in Pakistan men, as compared to White British men; and by 75% [13-172%] in Bangladeshi women, 55% [19-102%] in Caribbean women, and 82% [31-153%] in Any Other Ethnic Group women, as compared to White British women. Ethnically diverse populations in the UK remained disproportionately affected by CVD throughout and beyond the COVID-19 pandemic. Journal Article Nature Communications 16 6059 Springer Nature 2041-1723 2 7 2025 2025-07-02 10.1038/s41467-025-59951-4 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee British Heart Foundation Data Science Centre (grant No SP/19/3/34678, awarded to Health Data Research (HDR) UK); UK Research and Innovation (grant ref MC_PC_20058); The Alan Turing Institute via ‘Towards Turing 2.0’ EPSRC Grant Funding; National Institute for Health and Care Research (NIHR) Oxford Biomedical Research Centre (BRC); NIHR Senior Research Fellowship (Grant number SRF-2018-11-ST2-004); Medical Research Council (grant number: MR/V028367/1); Health Data Research UK, which receives its funding from HDR UK Ltd (HDR-9006) funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Welcome Trust; ADR Wales is part of the Economic and Social Research Council (part of UK Research and Innovation) funded ADR UK (grant ES/S007393/1); Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales. 2025-07-03T13:57:57.8532216 2025-07-03T13:32:23.9770604 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Marta Pineda-Moncusí 0000-0003-0567-0137 1 Freya Allery 0000-0002-5580-7237 2 Hoda Abbasizanjani 0000-0002-9575-4758 3 David Powell 4 Albert Prats-Uribe 0000-0003-1202-9153 5 Johan H. Thygesen 0000-0002-7479-3459 6 Angela Wood 0000-0002-7937-304X 7 Christopher Tomlinson 0000-0002-0903-5395 8 Amitava Banerjee 0000-0001-8741-3411 9 Ashley Akbari 0000-0003-0814-0801 10 Antonella Delmestri 0000-0003-0388-3403 11 Laura C. Coates 0000-0002-4756-663X 12 Spiros Denaxas 13 Kamlesh Khunti 14 Gary Collins 0000-0002-2772-2316 15 Daniel Prieto-Alhambra 0000-0002-3950-6346 16 Sara Khalid 0000-0002-2845-5731 17 69881__34661__297b2a19eda64e66bc74daed68568e92.pdf 69881.VOR.pdf 2025-07-03T13:51:07.4724738 Output 5614547 application/pdf Version of Record true © The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 |
| spellingShingle |
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 Hoda Abbasizanjani David Powell Ashley Akbari |
| title_short |
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 |
| title_full |
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 |
| title_fullStr |
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 |
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Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 |
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Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022 |
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93dd7e747f3118a99566c68592a3ddcc_***_Hoda Abbasizanjani fc993a4376907915ea6fe43b0d963bbc_***_David Powell aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari |
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Hoda Abbasizanjani David Powell Ashley Akbari |
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Marta Pineda-Moncusí Freya Allery Hoda Abbasizanjani David Powell Albert Prats-Uribe Johan H. Thygesen Angela Wood Christopher Tomlinson Amitava Banerjee Ashley Akbari Antonella Delmestri Laura C. Coates Spiros Denaxas Kamlesh Khunti Gary Collins Daniel Prieto-Alhambra Sara Khalid |
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An increased risk of COVID-19 mortality risk among certain ethnic groups is well-reported, however data on ethnic disparities in COVID-19-related cardiovascular disease (CVD) are lacking. We estimated age-standardised incidence rates and adjusted hazard ratios for 28-day mortality and 30-day CVD by sex for individual ethnicity groups from England and Wales, using linked health and administrative data. We studied 6-level census-based ethnicity group classification, 10-level classification (only for Wales), and 19-level classification as well as any ethnicity sub-groups comprising >1000 individuals each (only for England). COVID-19 28-day mortality and 30-day CVD risk was increased in most non-White ethnic groups in England, and Asian population in Wales, between 23rd January 2020 and 1st April 2022. English data show mortality decreased during the Omicron variant’s dominance, whilst CVD risk [95% confidence interval] remained elevated for certain ethnic groups when compared to White populations (January-April 2022): by 120% [28-280%] in White and Asian men and 58% [32-90%] in Pakistan men, as compared to White British men; and by 75% [13-172%] in Bangladeshi women, 55% [19-102%] in Caribbean women, and 82% [31-153%] in Any Other Ethnic Group women, as compared to White British women. Ethnically diverse populations in the UK remained disproportionately affected by CVD throughout and beyond the COVID-19 pandemic. |
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2025-07-02T05:25:51Z |
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