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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

Authors :
Jonathan Cockburn
Rohini Mathur
Chris Bates
Sam Harper
John Parry
Laurie A. Tomlinson
Stephen J. W. Evans
David M. Evans
Ben Goldacre
Helen J Curtis
Helen Mcdonald
Peter Inglesby
Angel Wong
Elizabeth A. Williamson
Brian MacKenna
David G. Harrison
Richard Grieve
Harriet Forbes
Rafael Perera
Seb Bacon
Anna Schultze
Frank Hester
Amir Mehrkar
Christopher T Rentsch
Alex J Walker
Krishnan Bhaskaran
Caroline E Morton
Ian J. Douglas
Richard Croker
Liam Smeeth
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

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.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....9ef7181a005c1244097c20e4b0ad9aac
Full Text :
https://doi.org/10.1101/2020.05.06.20092999