PMID- 36477747 OWN - NLM STAT- MEDLINE DCOM- 20221215 LR - 20230111 IS - 1932-6203 (Electronic) IS - 1932-6203 (Linking) VI - 17 IP - 12 DP - 2022 TI - A real-world pharmacovigilance study of FDA Adverse Event Reporting System (FAERS) events for venetoclax. PG - e0278725 LID - 10.1371/journal.pone.0278725 [doi] LID - e0278725 AB - BACKGROUND: Venetoclax (VEN) is the first selective small molecule Bcl-2 inhibitor approved by FDA and used in adult chronic lymphocytic leukemia (CLL), small lymphocytic lymphoma (SLL) and some acute myeloid leukemia (AML). However, the long-term safety of VEN in large sample population was unknown. This study evaluated the adverse events (AEs) of VEN from FDA Adverse Event Reporting System (FAERS) since its approval in 2016 by data mining. METHODS: The disproportionality analyses, including four algorithms of reporting odd ratio (ROR), proportional reporting ratio (PRR), bayesian configuration promotion neural network (BCPNN), and multi item gamma poisson shrinker (MGPS), were employed to quantify the signals of VEN-associated AEs. RESULTS: From the FAERS database, a total of 8,379,682 reports were collected during the study period. After removing the duplication, the number of reports with VEN as the primary suspect (PS) was 19,107. The 19,107 cases of AEs involved 27 organ systems, 256 significant PTs which conforming to the four algorithms. Unexpected serious AEs, such as pleural effusion, splenic infarction, atrial fibrillation, skin squamous cell carcinoma, etc., have signals. The median time of occurrence of AEs related to VEN was 31 days (inter quartile range [IQR] 7-131 days), and half of the reported AEs occurred within 1 month after administration. CONCLUSION: Our research has found new significant AEs signals of VEN, which improved its safety information in real-world after marketing approval, and contributed to its risk control of use in clinic. CI - Copyright: (c) 2022 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. FAU - Yang, Yang AU - Yang Y AUID- ORCID: 0000-0003-4571-1327 AD - Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. FAU - Shu, Yamin AU - Shu Y AD - Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. FAU - Chen, Guosong AU - Chen G AD - Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. FAU - Yin, Yanchao AU - Yin Y AD - Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. FAU - Li, Feie AU - Li F AD - Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. FAU - Li, Juan AU - Li J AD - Department of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. LA - eng PT - Journal Article DEP - 20221207 PL - United States TA - PLoS One JT - PloS one JID - 101285081 SB - IM MH - *Bayes Theorem PMC - PMC9728853 COIS- The authors have declared that no competing interests exist. EDAT- 2022/12/09 06:00 MHDA- 2022/12/15 06:00 PMCR- 2022/12/07 CRDT- 2022/12/08 12:14 PHST- 2022/08/10 00:00 [received] PHST- 2022/11/21 00:00 [accepted] PHST- 2022/12/08 12:14 [entrez] PHST- 2022/12/09 06:00 [pubmed] PHST- 2022/12/15 06:00 [medline] PHST- 2022/12/07 00:00 [pmc-release] AID - PONE-D-22-22403 [pii] AID - 10.1371/journal.pone.0278725 [doi] PST - epublish SO - PLoS One. 2022 Dec 7;17(12):e0278725. doi: 10.1371/journal.pone.0278725. eCollection 2022.