PMID- 35814246 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220716 IS - 1663-9812 (Print) IS - 1663-9812 (Electronic) IS - 1663-9812 (Linking) VI - 13 DP - 2022 TI - Profiling COVID-19 Vaccine Adverse Events by Statistical and Ontological Analysis of VAERS Case Reports. PG - 870599 LID - 10.3389/fphar.2022.870599 [doi] LID - 870599 AB - Since the beginning of the COVID-19 pandemic, vaccines have been developed to mitigate the spread of SARS-CoV-2, the virus that causes COVID-19. These vaccines have been effective in reducing the rate and severity of COVID-19 infection but also have been associated with various adverse events (AEs). In this study, data from the Vaccine Adverse Event Reporting System (VAERS) was queried and analyzed via the Cov19VaxKB vaccine safety statistical analysis tool to identify statistically significant (i.e., enriched) AEs for the three currently FDA-authorized or approved COVID-19 vaccines. An ontology-based classification and literature review were conducted for these enriched AEs. Using VAERS data as of 31 December 2021, 96 AEs were found to be statistically significantly associated with the Pfizer-BioNTech, Moderna, and/or Janssen COVID-19 vaccines. The Janssen COVID-19 vaccine had a higher crude reporting rate of AEs compared to the Moderna and Pfizer COVID-19 vaccines. Females appeared to have a higher case report frequency for top adverse events compared to males. Using the Ontology of Adverse Event (OAE), these 96 adverse events were classified to different categories such as behavioral and neurological AEs, cardiovascular AEs, female reproductive system AEs, and immune system AEs. Further statistical comparison between different ages, doses, and sexes was also performed for three notable AEs: myocarditis, GBS, and thrombosis. The Pfizer vaccine was found to have a closer association with myocarditis than the other two COVID-19 vaccines in VAERS, while the Janssen vaccine was more likely to be associated with thrombosis and GBS AEs. To support standard AE representation and study, we have also modeled and classified the newly identified thrombosis with thrombocytopenia syndrome (TTS) AE and its subclasses in the OAE by incorporating the Brighton Collaboration definition. Notably, severe COVID-19 vaccine AEs (including myocarditis, GBS, and TTS) rarely occur in comparison to the large number of COVID-19 vaccinations administered in the United States, affirming the overall safety of these COVID-19 vaccines. CI - Copyright (c) 2022 Guo, Deguise, Tian, Huang, Goru, Yang, Peng, Zhang, Zhao, Xie and He. FAU - Guo, Wenxin AU - Guo W AD - College of Literature, Science and the Arts, University of Michigan, Ann Arbor, MI, United States. FAU - Deguise, Jessica AU - Deguise J AD - College of Literature, Science and the Arts, University of Michigan, Ann Arbor, MI, United States. FAU - Tian, Yujia AU - Tian Y AD - Department of Cell Biology and Neuroscience, Rutgers University, New Brunswick, NJ, United States. FAU - Huang, Philip Chi-En AU - Huang PC AD - College of Literature, Science and the Arts, University of Michigan, Ann Arbor, MI, United States. FAU - Goru, Rohit AU - Goru R AD - College of Literature, Science and the Arts, University of Michigan, Ann Arbor, MI, United States. FAU - Yang, Qiuyue AU - Yang Q AD - Chongqing Engineering Research Center of Medical Electronics and Information Technology, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China. FAU - Peng, Suyuan AU - Peng S AD - National Institute of Health Data Science, Peking University, Beijing, China. FAU - Zhang, Luxia AU - Zhang L AD - National Institute of Health Data Science, Peking University, Beijing, China. AD - Department of Medicine, Renal Division, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China. AD - Advanced Institute of Information Technology, Peking University, Hangzhou, China. FAU - Zhao, Lili AU - Zhao L AD - Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States. FAU - Xie, Jiangan AU - Xie J AD - Chongqing Engineering Research Center of Medical Electronics and Information Technology, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, China. FAU - He, Yongqun AU - He Y AD - Unit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States. AD - Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI, United States. AD - Center of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, United States. LA - eng PT - Journal Article DEP - 20220624 PL - Switzerland TA - Front Pharmacol JT - Frontiers in pharmacology JID - 101548923 PMC - PMC9263450 OTO - NOTNLM OT - COVID-19 OT - COVID-19 vaccine OT - Cov19VaxKB OT - SARS-CoV-2 OT - VAERS OT - adverse events OT - ontology OT - ontology of adverse events COIS- The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. EDAT- 2022/07/12 06:00 MHDA- 2022/07/12 06:01 PMCR- 2022/06/24 CRDT- 2022/07/11 04:13 PHST- 2022/02/07 00:00 [received] PHST- 2022/05/23 00:00 [accepted] PHST- 2022/07/11 04:13 [entrez] PHST- 2022/07/12 06:00 [pubmed] PHST- 2022/07/12 06:01 [medline] PHST- 2022/06/24 00:00 [pmc-release] AID - 870599 [pii] AID - 10.3389/fphar.2022.870599 [doi] PST - epublish SO - Front Pharmacol. 2022 Jun 24;13:870599. doi: 10.3389/fphar.2022.870599. eCollection 2022.