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. 2023 May;8(5):e364-e377.
doi: 10.1016/S2468-2667(23)00079-8.

Changes in COVID-19-related mortality across key demographic and clinical subgroups in England from 2020 to 2022: a retrospective cohort study using the OpenSAFELY platform

Affiliations

Changes in COVID-19-related mortality across key demographic and clinical subgroups in England from 2020 to 2022: a retrospective cohort study using the OpenSAFELY platform

Linda Nab et al. Lancet Public Health. 2023 May.

Abstract

Background: COVID-19 has been shown to differently affect various demographic and clinical population subgroups. We aimed to describe trends in absolute and relative COVID-19-related mortality risks across clinical and demographic population subgroups during successive SARS-CoV-2 pandemic waves.

Methods: We did a retrospective cohort study in England using the OpenSAFELY platform with the approval of National Health Service England, covering the first five SARS-CoV-2 pandemic waves (wave one [wild-type] from March 23 to May 30, 2020; wave two [alpha (B.1.1.7)] from Sept 7, 2020, to April 24, 2021; wave three [delta (B.1.617.2)] from May 28 to Dec 14, 2021; wave four [omicron (B.1.1.529)] from Dec 15, 2021, to April 29, 2022; and wave five [omicron] from June 24 to Aug 3, 2022). In each wave, we included people aged 18-110 years who were registered with a general practice on the first day of the wave and who had at least 3 months of continuous general practice registration up to this date. We estimated crude and sex-standardised and age-standardised wave-specific COVID-19-related death rates and relative risks of COVID-19-related death in population subgroups.

Findings: 18 895 870 adults were included in wave one, 19 014 720 in wave two, 18 932 050 in wave three, 19 097 970 in wave four, and 19 226 475 in wave five. Crude COVID-19-related death rates per 1000 person-years decreased from 4·48 deaths (95% CI 4·41-4·55) in wave one to 2·69 (2·66-2·72) in wave two, 0·64 (0·63-0·66) in wave three, 1·01 (0·99-1·03) in wave four, and 0·67 (0·64-0·71) in wave five. In wave one, the standardised COVID-19-related death rates were highest in people aged 80 years or older, people with chronic kidney disease stage 5 or 4, people receiving dialysis, people with dementia or learning disability, and people who had received a kidney transplant (ranging from 19·85 deaths per 1000 person-years to 44·41 deaths per 1000 person-years, compared with from 0·05 deaths per 1000 person-years to 15·93 deaths per 1000 person-years in other subgroups). In wave two compared with wave one, in a largely unvaccinated population, the decrease in COVID-19-related mortality was evenly distributed across population subgroups. In wave three compared with wave one, larger decreases in COVID-19-related death rates were seen in groups prioritised for primary SARS-CoV-2 vaccination, including people aged 80 years or older and people with neurological disease, learning disability, or severe mental illness (90-91% decrease). Conversely, smaller decreases in COVID-19-related death rates were observed in younger age groups, people who had received organ transplants, and people with chronic kidney disease, haematological malignancies, or immunosuppressive conditions (0-25% decrease). In wave four compared with wave one, the decrease in COVID-19-related death rates was smaller in groups with lower vaccination coverage (including younger age groups) and conditions associated with impaired vaccine response, including people who had received organ transplants and people with immunosuppressive conditions (26-61% decrease).

Interpretation: There was a substantial decrease in absolute COVID-19-related death rates over time in the overall population, but demographic and clinical relative risk profiles persisted and worsened for people with lower vaccination coverage or impaired immune response. Our findings provide an evidence base to inform UK public health policy for protecting these vulnerable population subgroups.

Funding: UK Research and Innovation, Wellcome Trust, UK Medical Research Council, National Institute for Health and Care Research, and Health Data Research UK.

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Conflict of interest statement

Declaration of interests BG has received personal income from speaking and writing for lay audiences on the misuse of science and has been a non-executive director of NHS Digital. EJW has received payment for providing training for AstraZeneca (unrelated to the submitted work). All other authors declare no competing interests.

Figures

Figure 1
Figure 1
Participant selection for wave one of the SARS-CoV-2 pandemic All counts were rounded to the nearest five.
Figure 2
Figure 2
Sex-standardised and age-standardised COVID-19-related death rates per 1000 person-years in OpenSAFELY-TPP in the first four pandemic waves by population subgroup Models were standardised for age and sex using the European standard population, except for the death rates by age group (not standardised) and death rates by sex (standardised by age). The three columns on the right present the fold-changes in death rate in each wave compared with wave one. Equivalent data relating to wave five are shown in the appendix (pp 11–13). CKD=chronic kidney disease. RRT=renal replacement therapy.
Figure 3
Figure 3
Relative hazard of COVID-19-related death in OpenSAFELY-TPP in the first four pandemic waves by population subgroup Models were adjusted for age using a four-knot cubic spline, except for estimation of relative hazard of death by age group; adjusted for sex, except for estimation of relative hazard of death by sex; and stratified by region. The three columns on the right present the fold-change in HR for COVID-19-related death in each wave compared with wave one. Equivalent data relating to wave five are shown in the appendix (pp 14–16). CKD=chronic kidney disease. HR=hazard ratio. RRT=renal replacement therapy.
Figure 4
Figure 4
Percentage of follow-up time with number of COVID-19 vaccine doses in waves three and four by population subgroup Equivalent data for waves two to five are shown in the appendix (p 17). CKD=chronic kidney disease. RRT=renal replacement therapy.

Comment in

References

    1. Williamson EJ, Walker AJ, Bhaskaran K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584:430–436. - PMC - PubMed
    1. Raleigh V. The King's Fund; 2022. Deaths from Covid-19 (coronavirus)https://www.kingsfund.org.uk/publications/deaths-covid-19
    1. Wan TK, Huang RX, Tulu TW, et al. Identifying predictors of COVID-19 mortality using machine learning. Life (Basel) 2022;12:547. - PMC - PubMed
    1. Cummins L, Ebyarimpa I, Cheetham N, Tzortziou Brown V, Brennan K, Panovska-Griffiths J. Factors associated with COVID-19 related hospitalisation, critical care admission and mortality using linked primary and secondary care data. Influenza Other Respir Viruses. 2021;15:577–588. - PMC - PubMed
    1. Public Health England CHIME—COVID-19 health inequalities. https://analytics.phe.gov.uk/apps/chime/

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