PMID- 37019851 OWN - NLM STAT- MEDLINE DCOM- 20230808 LR - 20230809 IS - 1099-1557 (Electronic) IS - 1053-8569 (Linking) VI - 32 IP - 9 DP - 2023 Sep TI - Signal detection of COVID-19 vaccines adverse events using spontaneous reports from South Korea. PG - 961-968 LID - 10.1002/pds.5629 [doi] AB - PURPOSE: Studies on the detection of COVID-19 vaccine signals in South Korea are insufficient. Therefore, to investigate adverse events (AEs) that might be associated with COVID-19 vaccines, signals were detected using spontaneous reports from South Korea. We compared the signals with the vaccine insert lists of the regulators in the four countries. METHODS: Spontaneous reports from 62 sites were collected by the National Medical Center between January 2013 and May 2022. A descriptive analysis of AEs associated with COVID-19 vaccines (Pfizer, Moderna, AstraZeneca, and Janssen) was performed, and the proportional reporting ratio, reporting odds ratio, and information component were calculated. We performed five analyses, with five cases and one control group. RESULTS: During the study period, 68 355 cases were reported, of which 12 485 were COVID-19 vaccine AEs. Injection site pain (2198 cases, 17.6%), myalgia (1552 cases, 12.4%), headache (1145 cases, 9.2%), pyrexia (1003 cases, 8.0%), and fatigue (735 cases, 5.9%) were frequently reported. When comparing all COVID-19 vaccines with other viral vaccines, 20 signals were detected, of which cachexia, dyspepsia, abdominal discomfort, and mood swings were not listed on the vaccine inserts in all four countries. Overall, 20, 17, 29, and 9 signals were detected in vaccines developed by Pfizer, Moderna, AstraZeneca, and Janssen, respectively. CONCLUSIONS: Based on a disproportionate analysis of COVID-19 vaccine AEs using spontaneous reports from South Korea, different signals were detected for each vaccine manufacturer. CI - (c) 2023 John Wiley & Sons Ltd. FAU - Jeong, Hye Su AU - Jeong HS AUID- ORCID: 0000-0002-8197-3212 AD - Drug Safety Monitoring Center, National Medical Center, Seoul, South Korea. AD - Department of Epidemiology and Health Informatics, Graduate School of Public Health, Korea University, Seoul, South Korea. FAU - Chun, Byung Chul AU - Chun BC AUID- ORCID: 0000-0001-6576-8916 AD - Department of Epidemiology and Health Informatics, Graduate School of Public Health, Korea University, Seoul, South Korea. AD - Department of Preventive Medicine, Korea University College of Medicine, Seoul, South Korea. LA - eng PT - Journal Article DEP - 20230413 PL - England TA - Pharmacoepidemiol Drug Saf JT - Pharmacoepidemiology and drug safety JID - 9208369 RN - 0 (COVID-19 Vaccines) RN - 0 (Vaccines) SB - IM MH - Humans MH - Adverse Drug Reaction Reporting Systems MH - *COVID-19/epidemiology/prevention & control MH - *COVID-19 Vaccines/adverse effects MH - Republic of Korea/epidemiology MH - *Vaccines OTO - NOTNLM OT - COVID-19 vaccines OT - adverse drug reaction reporting systems OT - data mining OT - drug-related side effects and adverse reactions OT - pharmacovigilance EDAT- 2023/04/06 06:00 MHDA- 2023/08/08 06:42 CRDT- 2023/04/05 22:53 PHST- 2023/02/14 00:00 [revised] PHST- 2022/10/12 00:00 [received] PHST- 2023/03/31 00:00 [accepted] PHST- 2023/08/08 06:42 [medline] PHST- 2023/04/06 06:00 [pubmed] PHST- 2023/04/05 22:53 [entrez] AID - 10.1002/pds.5629 [doi] PST - ppublish SO - Pharmacoepidemiol Drug Saf. 2023 Sep;32(9):961-968. doi: 10.1002/pds.5629. Epub 2023 Apr 13.