A broad assessment of covid-19 vaccine safety using tree-based data-mining in the vaccine safety datalink. Issue 3 (16th January 2023)
- Record Type:
- Journal Article
- Title:
- A broad assessment of covid-19 vaccine safety using tree-based data-mining in the vaccine safety datalink. Issue 3 (16th January 2023)
- Main Title:
- A broad assessment of covid-19 vaccine safety using tree-based data-mining in the vaccine safety datalink
- Authors:
- Yih, W. Katherine
Daley, Matthew F.
Duffy, Jonathan
Fireman, Bruce
McClure, David
Nelson, Jennifer
Qian, Lei
Smith, Ning
Vazquez-Benitez, Gabriela
Weintraub, Eric
Williams, Joshua T.B.
Xu, Stanley
Maro, Judith C. - Abstract:
- Abstract: Background: Except for spontaneous reporting systems, vaccine safety monitoring generally involves pre-specifying health outcomes and post-vaccination risk windows of concern. Instead, we used tree-based data-mining to look more broadly for possible adverse events after Pfizer-BioNTech, Moderna, and Janssen COVID-19 vaccination. Methods: Vaccine Safety Datalink enrollees receiving ≥1 dose of COVID-19 vaccine in 2020–2021 were followed for 70 days after Pfizer-BioNTech or Moderna and 56 days after Janssen vaccination. Incident diagnoses in inpatient or emergency department settings were analyzed for clustering within both the hierarchical ICD-10-CM code structure and the post-vaccination follow-up period. We used the self-controlled tree-temporal scan statistic and TreeScan software. Monte Carlo simulation was used to estimate p-values; p = 0.01 was the pre-specified cut-off for statistical significance of a cluster. Results: There were 4.1, 2.6, and 0.4 million Pfizer-BioNTech, Moderna, and Janssen vaccinees, respectively. Clusters after Pfizer-BioNTech vaccination included: (1) unspecified adverse effects, (2) common vaccine reactions, such as fever, myalgia, and headache, (3) myocarditis/pericarditis, and (4) less specific cardiac or respiratory symptoms, all with the strongest clusters generally after Dose 2; and (5) COVID-19/viral pneumonia/sepsis/respiratory failure in the first 3 weeks after Dose 1. Moderna results were similar but without a significantAbstract: Background: Except for spontaneous reporting systems, vaccine safety monitoring generally involves pre-specifying health outcomes and post-vaccination risk windows of concern. Instead, we used tree-based data-mining to look more broadly for possible adverse events after Pfizer-BioNTech, Moderna, and Janssen COVID-19 vaccination. Methods: Vaccine Safety Datalink enrollees receiving ≥1 dose of COVID-19 vaccine in 2020–2021 were followed for 70 days after Pfizer-BioNTech or Moderna and 56 days after Janssen vaccination. Incident diagnoses in inpatient or emergency department settings were analyzed for clustering within both the hierarchical ICD-10-CM code structure and the post-vaccination follow-up period. We used the self-controlled tree-temporal scan statistic and TreeScan software. Monte Carlo simulation was used to estimate p-values; p = 0.01 was the pre-specified cut-off for statistical significance of a cluster. Results: There were 4.1, 2.6, and 0.4 million Pfizer-BioNTech, Moderna, and Janssen vaccinees, respectively. Clusters after Pfizer-BioNTech vaccination included: (1) unspecified adverse effects, (2) common vaccine reactions, such as fever, myalgia, and headache, (3) myocarditis/pericarditis, and (4) less specific cardiac or respiratory symptoms, all with the strongest clusters generally after Dose 2; and (5) COVID-19/viral pneumonia/sepsis/respiratory failure in the first 3 weeks after Dose 1. Moderna results were similar but without a significant myocarditis/pericarditis cluster. Further investigation suggested the fifth signal group was a manifestation of mRNA vaccine effectiveness after the first 3 weeks. Janssen vaccinees had clusters of unspecified or common vaccine reactions, gait/mobility abnormalities, and muscle weakness. The latter two were deemed to have arisen from confounding related to practices at one site. Conclusions: We detected post-vaccination clusters of unspecified adverse effects, common vaccine reactions, and, for the mRNA vaccines, chest pain and palpitations, as well as myocarditis/pericarditis after Pfizer-BioNTech Dose 2. Unique advantages of this data mining are its untargeted nature and its inherent adjustment for the multiplicity of diagnoses and risk intervals scanned. … (more)
- Is Part Of:
- Vaccine. Volume 41:Issue 3(2023)
- Journal:
- Vaccine
- Issue:
- Volume 41:Issue 3(2023)
- Issue Display:
- Volume 41, Issue 3 (2023)
- Year:
- 2023
- Volume:
- 41
- Issue:
- 3
- Issue Sort Value:
- 2023-0041-0003-0000
- Page Start:
- 826
- Page End:
- 835
- Publication Date:
- 2023-01-16
- Subjects:
- ACIP Advisory Committee on Immunization Practices -- CDC Centers for Disease Control and Prevention -- FDA Food and Drug Administration -- ICD-10-CM International Classification of Diseases, Tenth Revision, Clinical Modification -- VAERS Vaccine Adverse Event Reporting System -- VSD Vaccine Safety Datalink
Vaccines -- Periodicals
615.372 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0264410X ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0264410X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0264410X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.vaccine.2022.12.026 ↗
- Languages:
- English
- ISSNs:
- 0264-410X
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9138.628000
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