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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.
Voss, Erica A; Shoaibi, Azza; Yin Hui Lai, Lana; Blacketer, Clair; Alshammari, Thamir; Makadia, Rupa; Haynes, Kevin; Sena, Anthony G; Rao, Gowtham; van Sandijk, Sebastiaan; Fraboulet, Clement; Boyer, Laurent; Le Carrour, Tanguy; Horban, Scott; Morales, Daniel R; Martínez Roldán, Jordi; Ramírez-Anguita, Juan Manuel; Mayer, Miguel A; de Wilde, Marcel; John, Luis H; Duarte-Salles, Talita; Roel, Elena; Pistillo, Andrea; Kolde, Raivo; Maljkovic, Filip; Denaxas, Spiros; Papez, Vaclav; Kahn, Michael G; Natarajan, Karthik; Reich, Christian; Secora, Alex; Minty, Evan P; Shah, Nigam H; Posada, Jose D; Garcia Morales, Maria Teresa; Bosca, Diego; Cadenas Juanino, Honorio; Diaz Holgado, Antonio; Pedrera Jiménez, Miguel; Serrano Balazote, Pablo; García Barrio, Noelia; Sen, Selçuk; Üresin, Ali Yagiz; Erdogan, Baris; Belmans, Luc; Byttebier, Geert; Malbrain, Manu L N G; Dedman, Daniel J; Cuccu, Zara; Vashisht, Rohit.
  • Voss EA; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Shoaibi A; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Yin Hui Lai L; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • Blacketer C; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Alshammari T; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • Makadia R; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Haynes K; Department of Informatics, Imaging & Data Sciences, University of Manchester, Manchester, UK.
  • Sena AG; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Rao G; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • van Sandijk S; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • Fraboulet C; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Boyer L; College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Kingdom of Saudi Arabia.
  • Le Carrour T; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Horban S; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • Morales DR; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • Martínez Roldán J; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Ramírez-Anguita JM; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Mayer MA; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • de Wilde M; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • John LH; Janssen Pharmaceutical Research and Development LLC, Titusville, NJ, USA.
  • Duarte-Salles T; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Roel E; Odysseus Data Services, Prague, Czechia.
  • Pistillo A; Department of Medical Information, Assistance Publique - Hopitaux de Marseille, Marseille, France.
  • Kolde R; Department of Medical Information, Assistance Publique - Hopitaux de Marseille, Marseille, France.
  • Maljkovic F; Easter Eggs, Paris, France.
  • Denaxas S; Health Informatics Centre, University of Dundee, Dundee, UK.
  • Papez V; Division of Population Health and Genomics, University of Dundee, Dundee, UK.
  • Kahn MG; Department of Public Health, University of Southern Denmark, Odense, Denmark.
  • Natarajan K; Hospital del Mar, Department of Innovation and Digital Transformation, Barcelona, Spain.
  • Reich C; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
  • Secora A; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
  • Minty EP; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.
  • Shah NH; Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
  • Posada JD; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Garcia Morales MT; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Bosca D; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Cadenas Juanino H; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Diaz Holgado A; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Pedrera Jiménez M; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain.
  • Serrano Balazote P; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain.
  • García Barrio N; Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol), Barcelona, Spain.
  • Sen S; University of Tartu, Tartu, Estonia.
  • Üresin AY; Heliant, Belgrade, Serbia.
  • Erdogan B; University College London, Institute of Health Informatics, London, UK.
  • Belmans L; Health Data Research UK, London, UK.
  • Byttebier G; British Heart Foundation Data Science Centre, London, UK.
  • Malbrain MLNG; University College London, Institute of Health Informatics, London, UK.
  • Dedman DJ; Health Data Research UK, London, UK.
  • Cuccu Z; OHDSI Collaborators, Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA.
  • Vashisht R; University of Colorado Anschutz Medical Campus, Denver, CO, USA.
EClinicalMedicine ; 58: 101932, 2023 Apr.
Article in English | MEDLINE | ID: covidwho-2305366
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Reviews Topics: Long Covid / Vaccines Language: English Journal: EClinicalMedicine Year: 2023 Document Type: Article Affiliation country: J.eclinm.2023.101932

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Reviews Topics: Long Covid / Vaccines Language: English Journal: EClinicalMedicine Year: 2023 Document Type: Article Affiliation country: J.eclinm.2023.101932