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Original Research

Unpacking adverse events and associations post COVID-19 vaccination: a deep dive into vaccine adverse event reporting system data

, , , , , & show all
Pages 53-59 | Received 15 Sep 2023, Accepted 30 Nov 2023, Published online: 14 Dec 2023
 

ABSTRACT

Introduction

The rapid development of COVID-19 vaccines has provided crucial tools for pandemic control, but the occurrence of vaccine-related adverse events (AEs) underscores the need for comprehensive monitoring.

Methods

This study analyzed the Vaccine Adverse Event Reporting System (VAERS) data from 2020–2022 using statistical methods such as zero-truncated Poisson regression and logistic regression to assess associations with age, gender groups, and vaccine manufacturers.

Results

Logistic regression identified 26 System Organ Classes (SOCs) significantly associated with age and gender. Females displayed especially higher odds in SOC 19 (Pregnancy, puerperium and perinatal conditions), while males had higher odds in SOC 25 (Surgical and medical procedures). Older adults (>65) were more prone to symptoms like Cardiac disorders, whereas those aged 18–65 showed susceptibility to AEs like Skin and subcutaneous tissue disorders. Moderna and Pfizer vaccines induced fewer SOC symptoms compared to Janssen and Novavax. The zero-truncated Poisson regression model estimated an average of 4.243 symptoms per individual.

Conclusion

These findings offer vital insights into vaccine safety, guiding evidence-based vaccination strategies and monitoring programs for precise and effective outcomes.

Abbreviations

AE=

adverse event

BMI=

body mass index

CDC=

the Centers for Disease Control and Prevention

CI=

confidence interval

COPD=

chronic obstructive pulmonary disease

CSV=

Comma-Separated-Value

CVT=

cerebral venous thrombosis

DO=

Human Disease Ontology

FDA=

the Food and Drug Administration

GBS=

Guillain-Barré Syndrome

HLGT=

High Level Group Term

HLT=

High Level Term

ICH=

the International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use

ICU=

intensive care unit

IQR=

interquartile range

LLT=

lowest Level Term

MedDRA=

Medical Dictionary for Regulatory Activities

mRNA=

messenger Ribonucleic acid

OR=

odds ratio

PT=

Preferred Term

ROR=

reporting odds ratio

SOC=

System Organ Class

SSI=

surgical site infection

VAERS=

Vaccine Adverse Event Reporting System

Declaration of Interests

The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

Reviewer disclosures

A reviewer on this manuscript has disclosed that they are currently receiving funding from Moderna for a study not related to COVID-19 vaccine (or any vaccines). Peer reviewers on this manuscript have no other relevant financial or other relationships to disclose.

Author contributions

CT and YC took the lead in designing the experiments, with YL contributing to the experimental design. YL and YD were responsible for data collection. YL and SL conducted data analysis, while YL handled data visualization. WT performed data validation. YL and JL were involved in drafting the manuscript, with CT offering research support. CT and SL edited and reviewed the manuscript. All authors have reviewed and approved the final manuscript.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

We are sincerely grateful to Dazheng Zhang and Jiayi Tong for their advice at the early stages of this project.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/14760584.2023.2292203

Additional information

Funding

This manuscript was funded by the National Institutes of Health under Award Numbers R01AI130460 and U24AI171008.