Study of 17 million confirms factors that make COVID-19 more likely to kill

Embargoed until: Publicly released:
Peer-reviewed: This work was reviewed and scrutinised by relevant independent experts.

Observational study: A study in which the subject is observed to see if there is a relationship between two or more things (eg: the consumption of diet drinks and obesity). Observational studies cannot prove that one thing causes another, only that they are linked.

People: This is a study based on research using people.

A study of 17 million people in the UK has confirmed that age, gender, ethnicity, and underlying medical conditions are all risk factors that affect your risk of dying from COVID-19. The study found men had a greater (1.59-fold-higher) risk of COVID-19-related death than women, and age was also found to be a risk factor - people aged 80 or above had a 20-fold-increased risk compared to 50–59-year-old people. The most deprived people in the cohort were also 1.8 times more likely than the least deprived to die from COVID-19. Black and Asian people were also found to be at a higher risk of death; however, contrary to prior speculation, this increased risk was only partially attributable to pre-existing clinical risk factors and deprivation.

Journal/conference: Nature

Link to research (DOI): 10.1038/s41586-020-2521-4

Organisation/s: University of Oxford, UK, London School of Hygiene and Tropical Medicine, London, UK

Funder: No dedicated funding has yet been obtained for this work.

Media release

From: Springer Nature

Epidemiology: Clinical and demographic risk factors for COVID-19-related death quantified

Risk factors associated with COVID-19 death, based on analyses of full pseudonymized health records of 17 million adults in England, are reported in Nature. The study provides detailed information on the size of the risk associated with various pre-existing medical conditions, such as diabetes and obesity. Consistent with previous work, it also indicates higher risk of death from COVID-19 for men, older people and people with greater deprivation. Black and Asian people were also found to be at a higher risk of death; however, contrary to prior speculation, this increased risk was only partially attributable to pre-existing clinical risk factors and deprivation.

Ben Goldacre, Liam Smeeth and colleagues developed OpenSAFELY, a secure analytics platform that incorporates pseudonymized data for 40% of all National Health Service (NHS) patients in England. Among the electronic health records of 17,278,392 adults, there were 10,926 deaths in and out of hospital that were linked to COVID-19. This is a substantial expansion of the authors’ initial findings on factors associated with 5,707 deaths in hospital, which were released to a preprint in May.

In line with previous studies, men had a greater (1.59-fold-higher) risk of COVID-19-related death than women, and age was also found to be a risk factor — people aged 80 or above had a 20-fold-increased risk compared to 50–59-year-old people, for example. Black and South Asian people, and those of mixed background, were 1.62–1.88 times more likely to die with COVID-19 than white people, after taking into account their prior medical conditions. The most deprived people in the cohort were 1.8 times more likely than the least deprived to die with COVID-19; clinical factors made only a small contribution to this risk, suggesting that social factors have a role.

Pre-existing medical conditions — including obesity (especially a BMI of over 40), diabetes, severe asthma, and respiratory, chronic heart, liver, neurological and autoimmune diseases — were all found to be associated with an increased risk of COVID-19-related death. The authors note that their reported effects should not necessarily be interpreted as causal. Smoking and hypertension both had a slight negative association with risk, for example, but the authors suggest that this could be a result of interactions with other clinical factors, and they note that further studies are needed to better understand these relationships.

The authors caution that as clinically suspected but unconfirmed cases of COVID-19 were included, some patients might have been incorrectly identified as having COVID-19 and, conversely, some deaths — particularly at earlier stages — might have been misclassified as non-COVID-19. They also explain that the sample may not be fully representative (only 17% of general practices in London were included, for example) and that primary care records can sometimes be incomplete (ethnicity was missing for around 26% of individuals, for instance).

Postscript note from the authors:

Since manuscript acceptance we have found a small coding issue for one disease subgroup ("Other Immunosuppressive Conditions") which means a small numerical change to the results for that group but no change to the conclusions of the study: the hazard ratio changes from 1.70 (95% CI 1.34-2.16) to 2.21 (1.68-2.90). Because of this change there are also very minor changes to some of the other numbers in the same table: these are extremely small changes, at the second decimal place.

Attachments:

Note: Not all attachments are visible to the general public

  • Springer Nature
    Web page
    Please link to the article in online versions of your report (the URL will go live after the embargo ends).

News for:

International

Media contact details for this story are only visible to registered journalists.