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OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients.
- The OpenSAFELY Collaborative; Elizabeth Williamson; Alex J Walker; Krishnan J Bhaskaran; Seb Bacon; Chris Bates; Caroline E Morton; Helen J Curtis; Amir Mehrkar; David Evans; Peter Inglesby; Jonathan Cockburn; Helen I Mcdonald; Brian MacKenna; Laurie Tomlinson; Ian J Douglas; Christopher T Rentsch; Rohini Mathur; Angel Wong; Richard Grieve; David Harrison; Harriet Forbes; Anna Schultze; Richard T Croker; John Parry; Frank Hester; Sam Harper; Rafael Perera; Stephen Evans; Liam Smeeth; Ben Goldacre.
Affiliation
  • - The OpenSAFELY Collaborative;
  • Elizabeth Williamson; London School of Hygiene and Tropical Medicine
  • Alex J Walker; University of Oxford
  • Krishnan J Bhaskaran; London School of Hygiene and Tropical Medicine
  • Seb Bacon; University of Oxford
  • Chris Bates; TPP
  • Caroline E Morton; University of Oxford
  • Helen J Curtis; University of Oxford
  • Amir Mehrkar; University of Oxford
  • David Evans; University of Oxford
  • Peter Inglesby; University of Oxford
  • Jonathan Cockburn; TPP
  • Helen I Mcdonald; London School of Hygiene and Tropical Medicine
  • Brian MacKenna; University of Oxford
  • Laurie Tomlinson; London School of Hygiene and Tropical Medicine
  • Ian J Douglas; London School of Hygiene and Tropical Medicine
  • Christopher T Rentsch; London School of Hygiene and Tropical Medicine
  • Rohini Mathur; London School of Hygiene and Tropical Medicine
  • Angel Wong; London School of Hygiene and Tropical Medicine
  • Richard Grieve; London School of Hygiene and Tropical Medicine
  • David Harrison; ICNARC
  • Harriet Forbes; London School of Hygiene and Tropical Medicine
  • Anna Schultze; London School of Hygiene and Tropical Medicine
  • Richard T Croker; University of Oxford
  • John Parry; TPP
  • Frank Hester; TPP
  • Sam Harper; TPP
  • Rafael Perera; University of Oxford
  • Stephen Evans; London School of Hygiene and Tropical Medicine
  • Liam Smeeth; London School of Hygiene and Tropical Medicine
  • Ben Goldacre; University of Oxford
Preprint in English | medRxiv | ID: ppmedrxiv-20092999
ABSTRACT
BackgroundEstablishing who is at risk from a novel rapidly arising cause of death, and why, requires a new approach to epidemiological research with very large datasets and timely data. Working on behalf of NHS England we therefore set out to deliver a secure and pseudonymised analytics platform inside the data centre of a major primary care electronic health records vendor establishing coverage across detailed primary care records for a substantial proportion of all patients in England. The following results are preliminary. Data sourcesPrimary care electronic health records managed by the electronic health record vendor TPP, pseudonymously linked to patient-level data from the COVID-19 Patient Notification System (CPNS) for death of hospital inpatients with confirmed COVID-19, using the new OpenSAFELY platform. Population17,425,445 adults. Time period1st Feb 2020 to 25th April 2020. Primary outcomeDeath in hospital among people with confirmed COVID-19. MethodsCohort study analysed by Cox-regression to generate hazard ratios age and sex adjusted, and multiply adjusted for co-variates selected prospectively on the basis of clinical interest and prior findings. ResultsThere were 5683 deaths attributed to COVID-19. In summary after full adjustment, death from COVID-19 was strongly associated with being male (hazard ratio 1.99, 95%CI 1.88-2.10); older age and deprivation (both with a strong gradient); uncontrolled diabetes (HR 2.36 95% CI 2.18-2.56); severe asthma (HR 1.25 CI 1.08-1.44); and various other prior medical conditions. Compared to people with ethnicity recorded as white, black people were at higher risk of death, with only partial attenuation in hazard ratios from the fully adjusted model (age-sex adjusted HR 2.17 95% CI 1.84-2.57; fully adjusted HR 1.71 95% CI 1.44-2.02); with similar findings for Asian people (age-sex adjusted HR 1.95 95% CI 1.73-2.18; fully adjusted HR 1.62 95% CI 1.431.82). ConclusionsWe have quantified a range of clinical risk factors for death from COVID-19, some of which were not previously well characterised, in the largest cohort study conducted by any country to date. People from Asian and black groups are at markedly increased risk of in-hospital death from COVID-19, and contrary to some prior speculation this is only partially attributable to pre-existing clinical risk factors or deprivation; further research into the drivers of this association is therefore urgently required. Deprivation is also a major risk factor with, again, little of the excess risk explained by co-morbidity or other risk factors. The findings for clinical risk factors are concordant with policies in the UK for protecting those at highest risk. Our OpenSAFELY platform is rapidly adding further NHS patients records; we will update and extend these results regularly.
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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: 2020 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: 2020 Document type: Preprint
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