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Mining and analysis of busulfan adverse drug events signals based on FAERS database

Published on Apr. 01, 2024Total Views: 1201 times Total Downloads: 498 times Download Mobile

Author: WANG Guangfei 1 ZHANG Junqi 1 HUANG Yidie 1 WANG Yueyue 2 ZHAI Xiaowen 3 LI Zhiping 1

Affiliation: 1. Department of Clinical Pharmacy, National Children's Medical Center / Children's Hospital of Fudan University, Shanghai 201102, China 2. Department of Pharmacy, Qidong Branch, Children's Hospital of Fudan University / Qidong Women's and Children's Health Hospital, Qidong 226299, Jiangsu Province, China 3. Department of Hematology, National Children's Medical Center / Children's Hospital of Fudan University, Shanghai 201102, China

Keywords: Busulfan FAERS database Adverse drug event Signal mining Pharmacovigilance

DOI: 10.12173/j.issn.1005-0698.202306156

Reference: WANG Guangfei, ZHANG Junqi, HUANG Yidie, WANG Yueyue, ZHAI Xiaowen,LI Zhiping.Mining and analysis of busulfan adverse drug events signals based on FAERS database[J].Yaowu Liuxingbingxue Zazhi,2024, 33(3):259-268.DOI: 10.12173/j.issn.1005-0698.202306156[Article in Chinese]

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Abstract

Objective  To study adverse drug events (ADEs) of busulfan the U. S. Food and Drug Administration Adverse Event Reporting System (FAERS), and to mine the potential ADE signals, so as to provide reference for the safe drug use in clinical practice.

Methods  Data from the first quarter of 2004 to the first quarter of 2023 were retrieved from the FAERS database, and ADE records for busulfan as a primary suspect drug were obtained through data cleaning and standardization of target drug names. Risk signals for busulfan ADEs were mined based on the reporting odds ratio method, the proportional reporting ratio method, and Medicines and Healthcare Products Regulatory Agency method. The information component  method was used to assess the intense of the risk signals. The ADEs were systematically classified according to Medical Dictionary for Regulatory Activities (MedDRA), and two ranking sequence of busulfan ADEs were generated by signal occurrence frequency and signal intense, respectively.

Results  A total of 20 326 ADE records were collected, involving 5 615 patients with 556 related ADE signals, of which 117 were newly reported as compared to those in the drug instruction of busulfan. Male patients accounted for a higher proportion than female patients (40.71% vs. 30.74%). The main population of patients were younger than 18 years old (31.56%). The reports were most reported by physicians (33.71%) and other health professionals (24.35%) as well as pharmacists (23.86%), mainly from the United States (29.69%), Japan (15.78%), and France (11.79%). The top five ADEs in terms of occurrence frequency were busulfan use in unapproved indications, hepatic veno-occlusive disease (HVOD), mucosal inflammation, cytomegalovirus infection, and graft versus host disease. The top five ADEs in terms of signal intense were HVOD, acute graft versus host disease, veno-occlusive disease, graft versus host disease, and chronic graft versus host disease. The ADE signals involves 23 system organ classes. The top three SOCs in terms of the number of ADE signals were infections/infestations, investigations and neoplasms benign/malignant/unspecified (include cysts and polyps).

Conclusion  When busulfan is used in clinic, attention should be paid to its adverse events in hepatic veno-occlusive disease, infections, graft versus host disease, neurotoxicity, and venous thromboembolism, which are likely to cause serious consequences. The clinical pharmacists can assist clinicians to make prevention plans in case of busulfan ADEs, so as to improve the safety of busulfan use in clinic.

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References

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