The University of Southampton
University of Southampton Institutional Repository

Association of pre-pandemic high-density lipoprotein cholesterol with risk of COVID-19 hospitalisation and death: the UK Biobank cohort study

Association of pre-pandemic high-density lipoprotein cholesterol with risk of COVID-19 hospitalisation and death: the UK Biobank cohort study
Association of pre-pandemic high-density lipoprotein cholesterol with risk of COVID-19 hospitalisation and death: the UK Biobank cohort study
There is growing evidence of, and biological plausibility for, elevated levels of high-density lipoprotein cholesterol (HDL-C) being related to lower rates of respiratory disease. We tested whether pre-pandemic HDL-C within the normal range is associated with subsequent COVID-19 hospitalisations and death. We analysed data on participants from UK Biobank, a prospective cohort study, baseline data for which were collected between 2006 and 2010. Follow-up for COVID-19 was via hospitalisation records (1845 events in 317,306 individuals) and a national mortality registry (458 deaths in 317,833 individuals). After controlling for a series of confounding factors which included health behaviours, inflammatory markers, and socio-economic status, higher levels of HDL-C were related to a lower risk of later hospitalisation. The effect was linear (p-value for trend 0.001), whereby a 0.2 mmol/L increase in HDL-C was associated with a 7% lower risk (odds ratio; 95% confidence interval: 0.93; 0.90, 0.96). Corresponding relationships for mortality were markedly weaker, such that statistical significance at conventional levels were not apparent for both the linear trend (p-value 0.25) and the odds ratio per 0.2 mmol/L increase (0.98; 0.91, 1.05). While our finding for HDL-C and hospitalisations for COVID-19 raise the possibility that favourable modification of this cholesterol fraction via lifestyle changes or drug intervention may impact upon the risk of the disease, it warrants testing in other studies.
COVID-19, Cohort study, HDL-C, UK Biobank
2211-3355
Lassale, C.
e6583510-41a0-4184-ab9c-746cfbec8d99
Hamer, M.
859af528-3efc-4647-a7ff-d3a3f9c004a3
Hernáez, Álvaro
ca591189-65d7-4e68-bb17-99e94d8bdc96
Gale, Catharine
5bb2abb3-7b53-42d6-8aa7-817e193140c8
David Batty, G.
4f7123a8-497f-44c4-8a6c-a42462e2102d
Lassale, C.
e6583510-41a0-4184-ab9c-746cfbec8d99
Hamer, M.
859af528-3efc-4647-a7ff-d3a3f9c004a3
Hernáez, Álvaro
ca591189-65d7-4e68-bb17-99e94d8bdc96
Gale, Catharine
5bb2abb3-7b53-42d6-8aa7-817e193140c8
David Batty, G.
4f7123a8-497f-44c4-8a6c-a42462e2102d

Lassale, C., Hamer, M., Hernáez, Álvaro, Gale, Catharine and David Batty, G. (2021) Association of pre-pandemic high-density lipoprotein cholesterol with risk of COVID-19 hospitalisation and death: the UK Biobank cohort study. Preventive Medicine Reports, 23, [101461]. (doi:10.1016/j.pmedr.2021.101461).

Record type: Article

Abstract

There is growing evidence of, and biological plausibility for, elevated levels of high-density lipoprotein cholesterol (HDL-C) being related to lower rates of respiratory disease. We tested whether pre-pandemic HDL-C within the normal range is associated with subsequent COVID-19 hospitalisations and death. We analysed data on participants from UK Biobank, a prospective cohort study, baseline data for which were collected between 2006 and 2010. Follow-up for COVID-19 was via hospitalisation records (1845 events in 317,306 individuals) and a national mortality registry (458 deaths in 317,833 individuals). After controlling for a series of confounding factors which included health behaviours, inflammatory markers, and socio-economic status, higher levels of HDL-C were related to a lower risk of later hospitalisation. The effect was linear (p-value for trend 0.001), whereby a 0.2 mmol/L increase in HDL-C was associated with a 7% lower risk (odds ratio; 95% confidence interval: 0.93; 0.90, 0.96). Corresponding relationships for mortality were markedly weaker, such that statistical significance at conventional levels were not apparent for both the linear trend (p-value 0.25) and the odds ratio per 0.2 mmol/L increase (0.98; 0.91, 1.05). While our finding for HDL-C and hospitalisations for COVID-19 raise the possibility that favourable modification of this cholesterol fraction via lifestyle changes or drug intervention may impact upon the risk of the disease, it warrants testing in other studies.

Text
HDL-C and COVID-19 UKB PM 20210510 - not clear - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (288kB)
Text
1-s2.0-S2211335521001510-main (1) - Version of Record
Available under License Creative Commons Attribution.
Download (721kB)

More information

Accepted/In Press date: 17 June 2021
e-pub ahead of print date: 23 June 2021
Published date: September 2021
Additional Information: Funding Information: CL is supported by the Beatriu de Pinós postdoctoral programme of the Government of Catalonia's Secretariat for Universities and Research of the Ministry of Economy and Knowledge (2017-BP-00021); GDB by the Medical Research Council (MR/P023444/1) and the US National Institute on Aging (1R56AG052519-01; 1R01AG052519-01A1); and MH through a joint award from the Economic Social Research Council and Medical Research Council (RES-579-47-0001) Publisher Copyright: © 2021
Keywords: COVID-19, Cohort study, HDL-C, UK Biobank

Identifiers

Local EPrints ID: 451427
URI: http://eprints.soton.ac.uk/id/eprint/451427
ISSN: 2211-3355
PURE UUID: 26d3af30-f259-4728-a3e2-7f2521d2d183
ORCID for Catharine Gale: ORCID iD orcid.org/0000-0002-3361-8638

Catalogue record

Date deposited: 27 Sep 2021 16:32
Last modified: 17 Mar 2024 02:42

Export record

Altmetrics

Contributors

Author: C. Lassale
Author: M. Hamer
Author: Álvaro Hernáez
Author: Catharine Gale ORCID iD
Author: G. David Batty

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×