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ORIGINAL RESEARCH article

Front. Pharmacol.
Sec. Drugs Outcomes Research and Policies
Volume 15 - 2024 | doi: 10.3389/fphar.2024.1396378

Signal Mining of Adverse Events of Proteasome Inhibitors in Multiple Myeloma Based on FAERS

Provisionally accepted
Yuan Peng Yuan Peng 1,2Yuying Zhou Yuying Zhou 3Kaisen Shu Kaisen Shu 2Xu Jia Xu Jia 2Yan Zhong Yan Zhong 4*
  • 1 Other, Sichuan, China
  • 2 Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
  • 3 First Clinical Medical College, Xuzhou Medical University, Xuzhou, Jiangsu Province, China
  • 4 Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China

The final, formatted version of the article will be published soon.

    Objective: To mine and analyze adverse events related to proteasome inhibitors in multiple myeloma based on the U.S. Adverse Event Reporting System (FAERS), providing references for rational clinical medication.Adverse events(AEs) data related to multiple myeloma proteasome inhibitors were collected from FAERS from the first quarter of 2010 to the first quarter of 2024. Signal mining of AEs was conducted using the reporting odds ratio method and Bayesian confidence propagation neural network.Results: A total of 7208 reports for bortezomib, 5189 for carfilzomib, and 8776 for ixazomib were collected, with corresponding AE signals of 339, 280, and 287, respectively, involving 22, 20, and 22 System Organ Class (SOC). The report information for the three drugs tends to be consistent: more cases in males than females; with age predominantly over 65 years old; AEs mostly occur within six months of medication; the outcomes primarily consist of hospitalization, prolonged hospital stay, and other serious adverse events; the primary reporting country is the United States.The most affected SOCs were infections and infestations, general disorders and administration site conditions, and blood and lymphatic system disorders.The overall distribution of adverse events for the three multiple myeloma proteasome inhibitors is consistent, but there are certain differences in specific AE signal characteristics, which should be noted in clinical applications.

    Keywords: Proteasome Inhibitors, Adverse event, Signal mining, Multiple Myeloma, adverse event reporting system

    Received: 05 Mar 2024; Accepted: 08 Aug 2024.

    Copyright: © 2024 Peng, Zhou, Shu, Jia and Zhong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yan Zhong, Department of Pharmacy, West China Hospital, Sichuan University, Chengdu, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.