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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

Authors :
Erica A. Voss
Azza Shoaibi
Lana Yin Hui Lai
Clair Blacketer
Thamir Alshammari
Rupa Makadia
Kevin Haynes
Anthony G. Sena
Gowtham Rao
Sebastiaan van Sandijk
Clement Fraboulet
Laurent Boyer
Tanguy Le Carrour
Scott Horban
Daniel R. Morales
Jordi Martínez Roldán
Juan Manuel Ramírez-Anguita
Miguel A. Mayer
Marcel de Wilde
Luis H. John
Talita Duarte-Salles
Elena Roel
Andrea Pistillo
Raivo Kolde
Filip Maljković
Spiros Denaxas
Vaclav Papez
Michael G. Kahn
Karthik Natarajan
Christian Reich
Alex Secora
Evan P. Minty
Nigam H. Shah
Jose D. Posada
Maria Teresa Garcia Morales
Diego Bosca
Honorio Cadenas Juanino
Antonio Diaz Holgado
Miguel Pedrera Jiménez
Pablo Serrano Balazote
Noelia García Barrio
Selçuk Şen
Ali Yağız Üresin
Baris Erdogan
Luc Belmans
Geert Byttebier
Manu L.N.G. Malbrain
Daniel J. Dedman
Zara Cuccu
Rohit Vashisht
Atul J. Butte
Ayan Patel
Lisa Dahm
Cora Han
Fan Bu
Faaizah Arshad
Anna Ostropolets
Fredrik Nyberg
George Hripcsak
Marc A. Suchard
Dani Prieto-Alhambra
Peter R. Rijnbeek
Martijn J. Schuemie
Patrick B. Ryan
Medical Informatics
Source :
EClinicalMedicine, 58:101932. Lancet Publishing Group
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Background: 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. Methods: 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. Findings: Substantial heterogeneity by age was seen for AESI rates, with some clearly increasing with age but others following the opposite trend. Similarly, differences were also observed across databases for same health outcome and age-sex strata. All studied AESIs appeared consistently more common in the post-COVID-19 compared to the historical cohorts, with related meta-analytic SIRs ranging from 1.32 (1.05 to 1.66) for narcolepsy to 11.70 (10.10 to 13.70) for pulmonary embolism. Interpretation: Our findings suggest all AESIs are more common after COVID-19 than in the general population. Thromboembolic events were particularly common, and over 10-fold more so. More research is needed to contextualise post-COVID-19 complications in the longer term. Funding: None.

Details

Language :
English
ISSN :
25895370
Database :
OpenAIRE
Journal :
EClinicalMedicine, 58:101932. Lancet Publishing Group
Accession number :
edsair.doi.dedup.....bce743a98898583282e4cdad87dfa66e