Mining and analysis of adverse event signals of vandetanib based on the FAERS database.

Abstract

Objective: By analyzing the signal mining of vandetanib AEs, it provides a reference for the rational clinical use of the drug.

Methods: This study provides signal detection and analysis of AEs associated with vandetanib using the FAERS from Q2 2011 to Q1 2023.

Results: Disproportionality analyses were conducted using the ROR and the MHRA method, with AEs categorized and described based on SOC and PT from the MedDRA. A total of 1,721 AEs reports identified vandetanib as the primary suspect. The analyses yielded 187 AEs signals across 20 SOCs categories, with 47 signals not previously reported in the vandetanib labeling. Additionally, the study analyzes factors influencing AEs. The results are as follows: There are significant differences in Investigations based on gender and nationality (p < 0.05); skin and subcutaneous tissue disorders and gastrointestinal disorders exhibit differences based on gender, age, and nationality (p < 0.05).

Conclusion: Common AEs signals identified align with those documented in the drug labeling. However, AEs such as tumor lysis syndrome, skin discoloration, and pigmentary disorders, which are not listed in the labeling, warrant special attention. It is essential that abnormalities in patients' skin and laboratory indicators are closely monitored and addressed promptly to safeguard medication safety.