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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 CJ Bacon; Stephen JW Evans; Chris J Bates; Christopher T Rentsch; MacKenna Brian; 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.
Affiliation
  • Krishnan Bhaskaran; London School of Hygiene and Tropical Medicine
  • Sebastian CJ Bacon; University of Oxford
  • Stephen JW Evans; London School of Hygiene Tropical Medicine
  • Chris J Bates; The Phoenix Partnership
  • Christopher T Rentsch; London School of Hygiene and Tropical Medicine
  • MacKenna Brian; University of Oxford
  • Laurie Tomlinson; London School of Hygiene and Tropical Medicine
  • Alex J Walker; University of Oxford
  • Anna Schultze; London School of Hygiene and Tropical Medicine
  • Caroline E Morton; University of Oxford
  • Daniel Grint; London School of Hygiene and Tropical Medicine
  • Amir Mehrkar; University of Oxford
  • Rosalind M Eggo; London School of Hygiene and Tropical Medicine
  • Peter Inglesby; University of Oxford
  • Ian J Douglas; London School of Hygiene and Tropical Medicine
  • Helen I McDonald; London School of Hygiene and Tropical Medicine
  • Jonathan Cockburn; The Phoenix Partnership
  • Elizabeth J Williamson; London School of Hygiene and Tropical Medicine
  • David Evans; University of Oxford
  • Helen J Curtis; University of Oxford
  • William J Hulme; University of Oxford
  • John Parry; University of Oxford
  • Frank Hester; The Phoenix Partnership
  • Sam Harper; The Phoenix Partnership
  • David Spiegelhalter; Winton Centre for Risk and Evidence Communication, Centre for Mathematical Sciences, University of Cambridge
  • Liam Smeeth; London School of Hygiene and Tropical Medicine
  • Ben Goldacre; University of Oxford
Preprint in English | medRxiv | ID: ppmedrxiv-21249756
Journal article
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ABSTRACT
BackgroundMortality from COVID-19 shows a strong relationship with age and pre-existing medical conditions, as does mortality from other causes. However it is unclear how specific factors are differentially associated with COVID-19 mortality as compared to mortality from other causes. MethodsWorking 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 1st February 2020 and with >1 year of continuous prior registration, the cut-off date for deaths was 9th November 2020. Associations between individual-level characteristics and COVID-19 and non-COVID deaths were estimated by fitting age- and sex-adjusted logistic models for these two outcomes. Results17,456,515 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]). InterpretationSimilar 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. FundingWellcome, Royal Society, National Institute for Health Research, National Institute for Health Research Oxford Biomedical Research Centre, UK Medical Research Council, Health Data Research UK.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Experimental_studies / Observational study / Prognostic study / Rct Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Experimental_studies / Observational study / Prognostic study / Rct Language: English Year: 2021 Document type: Preprint
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