Adverse events after first and second doses of COVID-19 vaccination in England: a national vaccine surveillance platform self-controlled case series study.

Epidemiology public health vaccination programmes

Journal

Journal of the Royal Society of Medicine
ISSN: 1758-1095
Titre abrégé: J R Soc Med
Pays: England
ID NLM: 7802879

Informations de publication

Date de publication:
03 Nov 2023
Historique:
medline: 3 11 2023
pubmed: 3 11 2023
entrez: 3 11 2023
Statut: aheadofprint

Résumé

To estimate the incidence of adverse events of interest (AEIs) after receiving their first and second doses of coronavirus disease 2019 (COVID-19) vaccinations, and to report the safety profile differences between the different COVID-19 vaccines. We used a self-controlled case series design to estimate the relative incidence (RI) of AEIs reported to the Oxford-Royal College of General Practitioners national sentinel network. We compared the AEIs that occurred seven days before and after receiving the COVID-19 vaccinations to background levels between 1 October 2020 and 12 September 2021. England, UK. Individuals experiencing AEIs after receiving first and second doses of COVID-19 vaccines. AEIs determined based on events reported in clinical trials and in primary care during post-license surveillance. A total of 7,952,861 individuals were vaccinated with COVID-19 vaccines within the study period. Among them, 781,200 individuals (9.82%) presented to general practice with 1,482,273 AEIs. Within the first seven days post-vaccination, 4.85% of all the AEIs were reported. There was a 3-7% decrease in the overall RI of AEIs in the seven days after receiving both doses of Pfizer-BioNTech BNT162b2 (RI = 0.93; 95% CI: 0.91-0.94) and 0.96; 95% CI: 0.94-0.98), respectively) and Oxford-AstraZeneca ChAdOx1 (RI = 0.97; 95% CI: 0.95-0.98) for both doses), but a 20% increase after receiving the first dose of Moderna mRNA-1273 (RI = 1.20; 95% CI: 1.00-1.44)). COVID-19 vaccines are associated with a small decrease in the incidence of medically attended AEIs. Sentinel networks could routinely report common AEI rates, which could contribute to reporting vaccine safety.

Identifiants

pubmed: 37921538
doi: 10.1177/01410768231205430
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1410768231205430

Auteurs

Ruby Sm Tsang (RS)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

Utkarsh Agrawal (U)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

Mark Joy (M)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

Rachel Byford (R)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

Chris Robertson (C)

Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XH, UK.
Public Health Scotland, Glasgow, G2 6QE, UK.

Sneha N Anand (SN)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

William Hinton (W)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

Nikhil Mayor (N)

Royal Surrey NHS Foundation Trust, Guildford, GU2 7XX, UK.

Debasish Kar (D)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

John Williams (J)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

William Victor (W)

Royal College of General Practitioners, London, NW1 2FB, UK.

Ashley Akbari (A)

Population Data Science, Swansea University Medical School, Swansea University, Swansea, SA2 8QA, UK.

Declan T Bradley (DT)

Centre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK.
Public Health Agency, Belfast, BT2 8BS, UK.

Siobhan Murphy (S)

Centre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK.

Dermot O'Reilly (D)

Centre for Public Health, Queen's University Belfast, Belfast, BT12 6BA, UK.

Rhiannon K Owen (RK)

Population Data Science, Swansea University Medical School, Swansea University, Swansea, SA2 8QA, UK.

Antony Chuter (A)

BREATHE - The Health Data Research Hub for Respiratory Health, Edinburgh, EH16 4SS, UK.

Jillian Beggs (J)

BREATHE - The Health Data Research Hub for Respiratory Health, Edinburgh, EH16 4SS, UK.

Gary Howsam (G)

Royal College of General Practitioners, London, NW1 2FB, UK.

Aziz Sheikh (A)

Usher Institute, University of Edinburgh, Edinburgh, EH16 4SS, UK.

F D Richard Hobbs (FD)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.

Simon de Lusignan (S)

Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XH, UK.

Classifications MeSH