Your browser doesn't support javascript.
loading
Changes in the trajectory of Long Covid symptoms following COVID-19 vaccination: community-based cohort study
Daniel Ayoubkhani; Charlotte Bermingham; Koen B Pouwels; Myer Glickman; Vahe Nafilyan; Francesco Zaccardi; Kamlesh Khunti; Nisreen A Alwan; Ann Sarah Walker.
Affiliation
  • Daniel Ayoubkhani; Office for National Statistics
  • Charlotte Bermingham; Office for National Statistics
  • Koen B Pouwels; University of Oxford
  • Myer Glickman; Office for National Statistics
  • Vahe Nafilyan; Office for National Statistics
  • Francesco Zaccardi; University of Leicester
  • Kamlesh Khunti; University of Leicester
  • Nisreen A Alwan; University of Southampton
  • Ann Sarah Walker; University of Oxford
Preprint in English | medRxiv | ID: ppmedrxiv-21267516
ABSTRACT
ObjectiveTo estimate associations between COVID-19 vaccination and Long Covid symptoms in adults who were infected with SARS-CoV-2 prior to vaccination. DesignObservational cohort study using individual-level interrupted time series analysis. SettingRandom sample from the community population of the UK. Participants28,356 COVID-19 Infection Survey participants (mean age 46 years, 56% female, 89% white) aged 18 to 69 years who received at least their first vaccination after test-confirmed infection. Main outcome measuresPresence of long Covid symptoms at least 12 weeks after infection over the follow-up period 3 February to 5 September 2021. ResultsMedian follow-up was 141 days from first vaccination (among all participants) and 67 days from second vaccination (84% of participants). First vaccination was associated with an initial 12.8% decrease (95% confidence interval -18.6% to -6.6%) in the odds of Long Covid, but increasing by 0.3% (-0.6% to +1.2%) per week after the first dose. Second vaccination was associated with an 8.8% decrease (-14.1% to -3.1%) in the odds of Long Covid, with the odds subsequently decreasing by 0.8% (-1.2% to -0.4%) per week. There was no statistical evidence of heterogeneity in associations between vaccination and Long Covid by socio-demographic characteristics, health status, whether hospitalised with acute COVID-19, vaccine type (adenovirus vector or mRNA), or duration from infection to vaccination. ConclusionsThe likelihood of Long Covid symptoms reduced after COVID-19 vaccination, and the improvement was sustained over the follow-up period after the second dose. Vaccination may contribute to a reduction in the population health burden of Long Covid, though longer follow-up time is needed. Summary boxWhat is already known on this topic O_LICOVID-19 vaccines are effective at reducing rates of SARS-CoV-2 infection, transmission, hospitalisation, and death C_LIO_LIThe incidence of Long Covid may be reduced if infected after vaccination, but the relationship between vaccination and pre-existing long COVID symptoms is unclear, as published studies are generally small and with self-selected participants C_LI What this study adds O_LIThe likelihood of Long Covid symptoms reduced after COVID-19 vaccination, and the improvement was sustained over the follow-up period after the second dose C_LIO_LIThere was no evidence of differences in this relationship by socio-demographic characteristics, health-related factors, vaccine type, or duration from infection to vaccination C_LIO_LIAlthough causality cannot be inferred from this observational evidence, vaccination may contribute to a reduction in the population health burden of Long Covid; further research is needed to understand the biological mechanisms that may ultimately contribute to the development of therapeutics for Long Covid C_LI
License
cc_by
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Experimental_studies / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Experimental_studies / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
...