The University of Southampton
University of Southampton Institutional Repository

Risk of Long Covid in people infected with SARS-CoV-2 after two doses of a COVID-19 vaccine: community-based, matched cohort study

Risk of Long Covid in people infected with SARS-CoV-2 after two doses of a COVID-19 vaccine: community-based, matched cohort study
Risk of Long Covid in people infected with SARS-CoV-2 after two doses of a COVID-19 vaccine: community-based, matched cohort study
Background: it is unclear whether receiving two COVID-19 vaccinations before SARS-CoV-2 infection reduces the risk of developing Long Covid symptoms. We examined whether the likelihood of symptoms 12 weeks after infection differed by vaccination status.M
Methods: we included COVID-19 Infection Survey participants aged 18-69 years who tested positive for SARS-CoV-2 between 26 April 2020 and 30 November 2021; we excluded participants who, before their first test-confirmed infection, had suspected COVID-19 or Long Covid symptoms, or were single-vaccinated. Participants who were double-vaccinated ≥14 days before infection were 1:1 propensity-score matched, based on socio-demographic characteristics and time from infection to follow-up for Long Covid, to those unvaccinated at time of infection. We estimated adjusted odds ratios (aOR) of Long Covid symptoms ≥12 weeks post-infection, comparing double-vaccinated with unvaccinated (reference group) participants.
Results: the study sample comprised 3,090 double-vaccinated participants (mean age 49 years, 54% female, 92% white, median follow-up from infection 96 days) and matched control participants. Long Covid symptoms were reported by 294 double-vaccinated participants (prevalence 9.5%) compared with 452 unvaccinated participants (14.6%), corresponding to an aOR for Long Covid symptoms of 0.59 (95% CI: 0.50 to 0.69). There was no evidence of heterogeneity by adenovirus vector versus messenger ribonucleic acid vaccines (p=0.25).
Conclusions: COVID-19 vaccination is associated with reduced risk of Long Covid, emphasising the need for public health initiatives to increase population-level vaccine uptake. Longer follow-up is needed, as is the assessment of further vaccine doses and the Omicron variant.
Ayoubkhani, Daniel
cfd1b0e2-6685-4edb-a53f-299582b89280
Bosworth, Matthew L.
05d73c95-7103-4d63-9764-c2dba76f0c22
King, Sasha
a7550d5a-f11d-4457-a9a8-0cdd70ebe49c
Pouwels, Koen B.
13716648-03db-4375-b5d6-ec4af79f23a0
Glickman, Myer
61b66cbc-a403-4cd6-b7b5-eb18fccae968
Nafilyan, Vahé
bae04e8d-af87-4def-965c-3d59e2017a9b
Zaccardi, Francesco
e00c10dc-622b-4f87-8f61-0ea032e8c7a7
Khunti, Kamlesh
f9144317-22f8-4b5f-9dc4-5aa5fd65f113
Alwan, Nisreen
0d37b320-f325-4ed3-ba51-0fe2866d5382
Walker, A. Sarah
bb9ef595-a16f-4456-9b09-31426d564665
Ayoubkhani, Daniel
cfd1b0e2-6685-4edb-a53f-299582b89280
Bosworth, Matthew L.
05d73c95-7103-4d63-9764-c2dba76f0c22
King, Sasha
a7550d5a-f11d-4457-a9a8-0cdd70ebe49c
Pouwels, Koen B.
13716648-03db-4375-b5d6-ec4af79f23a0
Glickman, Myer
61b66cbc-a403-4cd6-b7b5-eb18fccae968
Nafilyan, Vahé
bae04e8d-af87-4def-965c-3d59e2017a9b
Zaccardi, Francesco
e00c10dc-622b-4f87-8f61-0ea032e8c7a7
Khunti, Kamlesh
f9144317-22f8-4b5f-9dc4-5aa5fd65f113
Alwan, Nisreen
0d37b320-f325-4ed3-ba51-0fe2866d5382
Walker, A. Sarah
bb9ef595-a16f-4456-9b09-31426d564665

[Unknown type: UNSPECIFIED]

Record type: UNSPECIFIED

Abstract

Background: it is unclear whether receiving two COVID-19 vaccinations before SARS-CoV-2 infection reduces the risk of developing Long Covid symptoms. We examined whether the likelihood of symptoms 12 weeks after infection differed by vaccination status.M
Methods: we included COVID-19 Infection Survey participants aged 18-69 years who tested positive for SARS-CoV-2 between 26 April 2020 and 30 November 2021; we excluded participants who, before their first test-confirmed infection, had suspected COVID-19 or Long Covid symptoms, or were single-vaccinated. Participants who were double-vaccinated ≥14 days before infection were 1:1 propensity-score matched, based on socio-demographic characteristics and time from infection to follow-up for Long Covid, to those unvaccinated at time of infection. We estimated adjusted odds ratios (aOR) of Long Covid symptoms ≥12 weeks post-infection, comparing double-vaccinated with unvaccinated (reference group) participants.
Results: the study sample comprised 3,090 double-vaccinated participants (mean age 49 years, 54% female, 92% white, median follow-up from infection 96 days) and matched control participants. Long Covid symptoms were reported by 294 double-vaccinated participants (prevalence 9.5%) compared with 452 unvaccinated participants (14.6%), corresponding to an aOR for Long Covid symptoms of 0.59 (95% CI: 0.50 to 0.69). There was no evidence of heterogeneity by adenovirus vector versus messenger ribonucleic acid vaccines (p=0.25).
Conclusions: COVID-19 vaccination is associated with reduced risk of Long Covid, emphasising the need for public health initiatives to increase population-level vaccine uptake. Longer follow-up is needed, as is the assessment of further vaccine doses and the Omicron variant.

Text
2022.02.23.22271388v1.full - Author's Original
Available under License Creative Commons Attribution.
Download (147kB)

More information

Published date: 24 February 2022

Identifiers

Local EPrints ID: 456904
URI: http://eprints.soton.ac.uk/id/eprint/456904
PURE UUID: 33a80a12-003f-40b3-9a72-baeb0f2bcff5
ORCID for Nisreen Alwan: ORCID iD orcid.org/0000-0002-4134-8463

Catalogue record

Date deposited: 16 May 2022 16:43
Last modified: 21 Sep 2022 01:47

Export record

Contributors

Author: Daniel Ayoubkhani
Author: Matthew L. Bosworth
Author: Sasha King
Author: Koen B. Pouwels
Author: Myer Glickman
Author: Vahé Nafilyan
Author: Francesco Zaccardi
Author: Kamlesh Khunti
Author: Nisreen Alwan ORCID iD
Author: A. Sarah Walker

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.

×