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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

  • Krishnan Bhaskaran
  • , Sebastian Bacon
  • , Stephen Jw Evans
  • , Chris J Bates
  • , Christopher T Rentsch
  • , Brian MacKenna
  • , Laurie Tomlinson
  • , Alex J Walker
  • , Anna Schultze
  • , Caroline E Morton
  • , Daniel Grint
  • , Amir Mehrkar
  • , Rosalind M Eggo
  • , Peter Inglesby
  • , Ian J Douglas
  • , Helen I McDonald
  • , Jonathan Cockburn
  • , Elizabeth J Williamson
  • , David Evans
  • , Helen J Curtis
  • William J Hulme, John Parry, Frank Hester, Sam Harper, David Spiegelhalter, Liam Smeeth, Ben Goldacre
  • London School of Hygiene & Tropical Medicine
  • University of Oxford
  • The Phoenix Partnership
  • Winton Centre for Risk and Evidence Communication

Research output: Contribution to journal › Article › peer-review

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Abstract

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.

Original languageEnglish
Pages (from-to)100109
JournalThe Lancet Regional Health-Europe
Volume6
Early online date8 May 2021
DOIs
Publication statusPublished - 31 Jul 2021
Externally publishedYes

Bibliographical note

© 2021 The Author(s).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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