Risk factors for COVID-19 death revealed in world’s largest analysis of patient records | University of Oxford
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Risk factors for COVID-19 death revealed in world’s largest analysis of patient records to date.

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Risk factors for COVID-19 death revealed in world’s largest analysis of patient records

The largest study to date, analysing NHS health data from 17.4 million UK adults between 01 February 2020 and 25 April 2020, has?given the strongest evidence on?risk factors associated with?COVID-19?death.

Academics at the University of Oxford and the London School of Hygiene & Tropical Medicine (LSHTM), working on behalf of NHS England?and in partnership with NHSX, have analysed the pseudonymised health data of over 17.4 million UK adults to discover the key factors associated with death from?COVID-19?.

This is the largest study on?COVID-19?conducted by any country to date, and therefore gives the strongest evidence on risk factors associated with?COVID-19?death.

Compared to white people, people of Asian and Black ethnic origin were found to be at a higher risk of death.?Previously, commentators and researchers have reasonably speculated that this might be due?to higher prevalence of medical problems such as cardiovascular disease or diabetes among BME communities, or higher deprivation.?The?findings, based on?detailed data, show that this?only?accounts for?a small part of the excess risk. Consequently, further work?must be done to fully understand why BME people are at such increased risk of death.

Additionally, people from deprived social backgrounds were also found to be at a higher risk of?death, which also?could not be explained by other risk factors.

Results confirmed that men are at increased risk from?COVID-19?death, as well as people of older ages and those with uncontrolled diabetes. People with more severe asthma were also found to be at increased risk of death from?COVID-19.?

The study linked?data about patients that had been hospitalised with?COVID-19?with data held in primary care records processed by TPP.?? This was carried via the?OpenSAFELY?analytics platform, a new secure mechanism which allowed the GP records to be linked where they are?stored for individual care.? This minimises the security risks associated with transferring and storing data elsewhere, to deliver analyses quickly and safely while preserving patient privacy.? All identifiable data remains in control of the NHS and data?is pseudonymised before it can be accessed by researchers.

Professor Liam Smeeth, Professor of Clinical Epidemiology at LSHTM, NHS doctor and co-lead on the study, says, ‘We need highly accurate data on which patients are most at risk?in order to?manage the?pandemic and improve patient care. The answers provided by this?OpenSAFELY?analysis are of crucial importance to countries around the world. For example, it is very concerning to see that the higher risks faced by people from BME backgrounds are not attributable to identifiable underlying health?conditions’.

Dr?Ben Goldacre, Director of the?DataLab?in the Nuffield Department of Primary Care Health Sciences at the University of Oxford, NHS doctor and co-lead on the study, says, ‘During a global health emergency we need answers quickly and accurately. That means we need?very large, very current datasets. The UK has phenomenal coverage and quality of data. We owe it to patients to keep their data secure; and we owe it to the global community to make good use of this data.?That’s?why we have developed a new highly secure model, taking the analytics to where the data already resides.’

Further analyses using?OpenSAFELY?are already underway, including investigation into the effects of specific drugs routinely prescribed in primary care. The platform can also be used to?evaluate?COVID-19?spread with innovative approaches to modelling; predict local health service needs; assess the indirect health impacts of the pandemic; track the impact of national interventions; and inform exit from lockdown.

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