收藏切换
Signal mining and evaluation of adverse event signals of efgartigimod based on the FAERS Database
收藏切换
PDF
Jia-qing WANGa, Cui-cui YANGa, Xing-huan DINGb, En-shan FENGb
Chinese Journal of Clinical Pharmacology | 2025, 41(23) : 3430 - 3437
Less
收藏切换
Chinese Journal of Clinical Pharmacology | 2025, 41(23): 3430-3437
Drug Evaluation and Administration
Signal mining and evaluation of adverse event signals of efgartigimod based on the FAERS Database
Full
Jia-qing WANGa, Cui-cui YANGa, Xing-huan DINGb, En-shan FENGb
Affiliations
  • a.Clinical Trial Center, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100000, China
  • b.Neurosurgery, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing 100000, China
Published: 2025-12-17 doi: 10.13699/j.cnki.1001-6821.2025.23.019
Outline
收藏切换
Objective

Efgartigimod, as a novel FcRn inhibitor, can improve neuromuscular transmission in patients with generalized myasthenia gravis (gMG) by accelerating the degradation of pathogenic IgG antibodies. Although clinical trials have confirmed its efficacy and good tolerability, its safety profile in the real-world setting requires comprehensive evaluation. This study utilized data from the U.S. FDA Adverse Event Reporting System (FAERS) to investigate and assess potential adverse event (AE) signals associated with Efgartigimod. The aim was to evaluate its real-world safety characteristics and provide evidence for clinical safe medication use and risk monitoring.

Methods

Reports listing Efgartigimod as the primary suspected drug were extracted from Q1 2020 to Q4 2023. After deduplication and terminology standardization, disproportionality analysis was conducted using three methods: Reporting Odds Ratio (ROR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayes Geometric Mean (EBGM), to identify significant signals at both the System Organ Class (SOC) and Preferred Term (PT) levels. Important Medical Events (IMEs) were also screened.

Results

A total of 788 individual case safety reports involving 13 551 AEs were included. At the SOC level, the strongest signals were for nervous system disorders (ROR=5.12) and neoplasms (ROR=4.78). At the PT level, multiple strong signals were identified, including myasthenic crisis (ROR=2 269.29), bulbar paralysis (ROR=275.64), and thymoma (ROR=170.02). IME analysis further confirmed these events as high-priority safety concerns.

Conclusion

This study identified several potential new safety signals for Efgartigimod in the neurological, oncological, and immunological domains, suggesting that clinicians should remain vigilant about adverse reactions related to these organ systems and providing a basis for further targeted safety research.

Efgartigimod  /  pharmacovigilance  /  FDA adverse event reporting system  /  adverse events  /  signal detection  /  myasthenia gravis
Jia-qing WANG, Cui-cui YANG, Xing-huan DING, En-shan FENG. Signal mining and evaluation of adverse event signals of efgartigimod based on the FAERS Database[J]. Chinese Journal of Clinical Pharmacology, 2025 , 41 (23) : 3430 -3437 . DOI: 10.13699/j.cnki.1001-6821.2025.23.019
Year 2025 volume 41 Issue 23
PDF
155
37
Cite this Article
BibTeX
Article Info
doi: 10.13699/j.cnki.1001-6821.2025.23.019
  • Receive Date:2025-11-06
  • Online Date:2026-08-05
  • Published:2025-12-17
Article Data
Affiliations
History
  • Received:2025-11-06
Funding
Affiliations
    a.Clinical Trial Center, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing 100000, China
    b.Neurosurgery, Beijing Ditan Hospital Affiliated to Capital Medical University, Beijing 100000, China
References
Share
https://castjournals.cast.org.cn/joweb/zglcylxzz/EN/10.13699/j.cnki.1001-6821.2025.23.019
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT