Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Oct 9;19(10):e0304110.
doi: 10.1371/journal.pone.0304110. eCollection 2024.

Risk of death in England following a positive SARS-CoV-2 test: A retrospective national cohort study (March 2020 to September 2022)

Affiliations

Risk of death in England following a positive SARS-CoV-2 test: A retrospective national cohort study (March 2020 to September 2022)

Clarissa Bauer-Staeb et al. PLoS One. .

Abstract

Background: We aimed to estimate the relative risk of mortality following a first positive SARS-CoV-2 test during the first, second, and third waves of the COVID-19pandemic in England by age, sex, and vaccination status, taking into account pre-existing health conditions and lifestyle factors.

Methods: We conducted a retrospective cohort study of all individuals registered with the National Health Service (NHS) in England from 1 March 2020 to September 2022. Data for all individuals were obtained and linked including primary care records, hospital admission episodes, SARS-CoV-2 test results, vaccinations, and death registrations. We fitted Cox Proportional Hazards models with time dependent covariates for confirmed SARS-CoV-2 infection to model the risk of subsequent mortality.

Results: The hazard ratio for death after testing positive for subsequent, compared with those not testing positive, amongst unvaccinated individuals, ranged from 11 to 89 by age and sex, in the first four weeks following a positive test in wave one and reduced to 14 to 50 in wave three. This hazard was further reduced amongst those who had three vaccines to between 1.4 and 7 in wave three.

Conclusions: This study provides robust estimates of increased mortality risk among those who tested positive over the first three waves of the COVID-19 pandemic in England. The estimates show the impact of various factors affecting the risk of mortality from COVID-19. The results provide the first step towards estimating the magnitude and pattern of mortality displacement due to COVID-19, which is essential to understanding subsequent mortality rates in England.

PubMed Disclaimer

Conflict of interest statement

PG declares consultancy payments made from OHID to UCL Consulting to support the preparation of this manuscript. All other authors have no declarations.

Figures

Fig 1
Fig 1. Hazard ratios (and 95% confidence intervals) for the effect of testing positive for COVID-19 on mortality by time-period of infection and vaccination status.
Fig 2
Fig 2. Hazard ratios (and 95% confidence intervals) for wave, COVID-19, and vaccination status terms derived from the Cox Proportional Hazard model denoting the hazard of death amongst females, stratified by age.
Hazard ratios for all terms in the multivariable model are provided in the appendices. HR = Hazard ratio. The reference group for a positive COVID-19 test by wave and vaccination status are all those who do not fall into the defined category.
Fig 3
Fig 3. Hazard ratios (and 95% confidence intervals) for wave, COVID-19, and vaccination status terms derived from the Cox Proportional Hazard model denoting the hazard of death amongst males, stratified by age.
Hazard ratios for all terms in the multivariable model are provided in the appendices. HR = Hazard ratio. The reference group for a positive COVID-19 test by wave and vaccination status are all those who do not fall into the defined category.

References

    1. Department of Health and Social Care. Excess mortality in England and English regions. In: GOV.UK [Internet]. 9 Mar 2023. [cited 18 Mar 2023]. Available: https://www.gov.uk/government/statistics/excess-mortality-in-england-and...
    1. Hippisley-Cox J, Coupland CA, Mehta N, Keogh RH, Diaz-Ordaz K, Khunti K, et al.. Risk prediction of covid-19 related death and hospital admission in adults after covid-19 vaccination: national prospective cohort study. BMJ. 2021;374: n2244. doi: 10.1136/bmj.n2244 - DOI - PMC - PubMed
    1. Clift AK, Coupland CAC, Keogh RH, Diaz-Ordaz K, Williamson E, Harrison EM, et al.. Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study. BMJ. 2020;371: m3731. doi: 10.1136/bmj.m3731 - DOI - PMC - PubMed
    1. Maynou L, Owen R, Konstant-Hambling R, Imam T, Arkill S, Bertfield D, et al.. The association between frailty risk and COVID-19-associated all-mortality in hospitalised older people: a national cohort study. Eur Geriatr Med. 2022;13: 1149–1157. doi: 10.1007/s41999-022-00668-8 - DOI - PMC - PubMed
    1. Mikolai J, Dorey P, Keenan K, Kulu H. Spatial patterns of COVID-19 and non-COVID-19 mortality across waves of infection in England, Wales, and Scotland. Social Science & Medicine. 2023;338: 116330. doi: 10.1016/j.socscimed.2023.116330 - DOI - PubMed