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Drug-Induced Acute Pancreatitis: A Real-World Pharmacovigilance Study Using the FDA Adverse Event Reporting System
Dongxuan Li1, Hongli Wang2, Chunmeng Qin1,3
1Department of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Identifying culprit drugs for acute pancreatitis (AP) is crucial. This study analyzed FDA adverse event reports, identifying metformin, quetiapine, and diabetes drugs as frequent culprits, and antineoplastic agents as having the highest risk.
Area of Science:
- Pharmacovigilance
- Clinical Pharmacology
- Drug Safety
Background:
- Drug-induced acute pancreatitis (AP) necessitates prompt culprit-drug identification and withdrawal for effective management.
- A comprehensive understanding of drugs associated with AP is currently lacking, hindering clinical practice.
- This study aims to provide an updated overview of AP culprit-drugs using real-world data.
Approach:
- Analyzed 62,206 AP-related adverse event reports from the FDA Adverse Event Reporting System (FAERS) database (2004-2022).
- Identified 1,175 potential culprit drugs and assessed their association with AP using disproportionality analysis to detect adverse drug reaction (ADR) signals.
- Integrated ADR signal distribution to characterize drug risks.
Key Points:
- Metformin, quetiapine, liraglutide, exenatide, and sitagliptin were among the drugs with the highest number of AP-related adverse event reports.
- Diabetes medications constituted the most frequently reported drug class, followed by immunosuppressants and psycholeptics.
- Disproportionality analysis revealed 595 drugs with potential AP risk, with antineoplastic agents showing the highest proportion of positive ADR signals.
Conclusions:
- This pharmacovigilance study presents a comprehensive landscape of AP culprit-drugs based on extensive FAERS data.
- The findings offer valuable reference information for clinicians to improve the diagnosis and management of drug-induced AP.
- Highlights the importance of ongoing drug safety surveillance for identifying and mitigating risks associated with AP.
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