Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study
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- dc.contributor.author Voss, Erica A.
- dc.contributor.author Horban, Scott
- dc.contributor.author Ramírez Anguita, Juan Manuel
- dc.contributor.author Mayer, Miguel Ángel, 1960-
- dc.contributor.author Ryan, Patrick B.
- dc.date.accessioned 2023-05-23T10:34:25Z
- dc.date.available 2023-05-23T10:34:25Z
- dc.date.issued 2023
- dc.description.abstract Adverse events of special interest (AESIs) were pre-specified to be monitored for the COVID-19 vaccines. Some AESIs are not only associated with the vaccines, but with COVID-19. Our aim was to characterise the incidence rates of AESIs following SARS-CoV-2 infection in patients and compare these to historical rates in the general population. A multi-national cohort study with data from primary care, electronic health records, and insurance claims mapped to a common data model. This study's evidence was collected between Jan 1, 2017 and the conclusion of each database (which ranged from Jul 2020 to May 2022). The 16 pre-specified prevalent AESIs were: acute myocardial infarction, anaphylaxis, appendicitis, Bell's palsy, deep vein thrombosis, disseminated intravascular coagulation, encephalomyelitis, Guillain- Barré syndrome, haemorrhagic stroke, non-haemorrhagic stroke, immune thrombocytopenia, myocarditis/pericarditis, narcolepsy, pulmonary embolism, transverse myelitis, and thrombosis with thrombocytopenia. Age-sex standardised incidence rate ratios (SIR) were estimated to compare post-COVID-19 to pre-pandemic rates in each of the databases.
- dc.format.mimetype application/pdf
- dc.identifier.citation Voss EA, Shoaibi A, Yin L, Blacketer C, Alshammari T, Makadia R, et al. Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study. eClinicalMedicine. 2023 Apr;58:101932. DOI: 10.1016/j.eclinm.2023.101932
- dc.identifier.doi http://dx.doi.org/10.1016/j.eclinm.2023.101932
- dc.identifier.issn 2589-5370
- dc.identifier.uri http://hdl.handle.net/10230/56947
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof eClinicalMedicine. 2023 Apr;58:101932
- dc.rights © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword COVID-19
- dc.subject.keyword Observational research
- dc.subject.keyword OMOP CDM
- dc.subject.keyword Adverse events of special interest
- dc.title Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion