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Real-World Disproportionality Analysis of the Food and Drug Administration Adverse Event Reporting System Database
Zhijing Liu1, Dongzhi Wu2, Chengjie Ke3,4
1Department of Pharmacy, Affiliated Hospital of Putian University, Pu Tian, China.
This study identified new adverse events (AEs) associated with asciminib, a medication for chronic myeloid leukemia. Real-world data reveals potential risks, including off-label use complications, emphasizing the need for further safety research.
Area of Science:
- Pharmacovigilance
- Oncology
- Drug Safety
Background:
- Asciminib treats Philadelphia chromosome-positive chronic myeloid leukemia (Ph+ CML).
- Its long-term safety in diverse patient groups requires further investigation.
- Real-world data is crucial for understanding drug safety profiles.
Purpose of the Study:
- To evaluate adverse events (AEs) associated with asciminib using real-world data.
- To identify potential safety concerns and unexpected reactions.
- To provide insights for clinical drug safety management.
Main Methods:
- Analysis of the FDA Adverse Event Reporting System (FAERS) database from October 2021 to December 2023.
- Utilized statistical metrics like reporting odds ratio and proportional reporting ratio.
- Employed four analytical algorithms to detect disproportional event frequencies.
Main Results:
- Identified 966 adverse events linked to asciminib out of over 3.9 million total reports.
- Detected 663 significant preferred terms with disproportional frequencies.
- Uncovered 26 significant AEs associated with off-label asciminib use, including hepatotoxicity and pancreatitis.
Conclusions:
- Asciminib use may be associated with additional potential adverse events.
- Further research is needed to confirm these observed safety signals.
- Real-world pharmacovigilance data enhances understanding of asciminib's safety profile.
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