Abstract
Background
Emicizumab is the latest treatment for patients with hemophilia A. Its safety in real-world data is limited, and regulatory agencies and clinical researchers have raised concerns about the risk of adverse events.
Aim
This study aimed to detect potential adverse event signals of emicizumab using the FDA Adverse Event Reporting System (FAERS) database.
Method
Data in FAERS from the fourth quarter of 2017 to the second quarter of 2021 were searched. Cases of adverse events were extracted using the Preferred Term in the Medical Dictionary for Regulatory Activities (version 24.0). Disproportionality analysis was performed using the reporting odds ratio (ROR) and information component (IC) methods based on statistical shrinkage transformation.
Results
A total of 5,598,717 patients were included, of which 1,244 took emicizumab. A total of 703 emicizumab-related adverse event signals were mined, and 101 positive signals were detected. Haemarthrosis (ROR/ROR975/ROR025 = 155.62/184.34/131.38, IC/IC975/IC025 = 7.28/7.48/7.01), haemorrhage (ROR/ROR975/ROR025 = 71.01/81.18/62.12, IC/IC975/IC025 = 6.15/6.31/5.94), muscle haemorrhage (ROR/ROR975/ROR025 = 53.38/75.83/37.58, IC/IC975/IC025 = 5.74/6.16/5.15), traumatic haemorrhage (ROR/ROR975/ROR025 = 27.78/46.29/16.67, IC/IC975/IC025 = 4.80/5.40/3.92), haematoma (ROR/ROR975/ROR025 = 18.15/26.35/12.51, IC/IC975/IC025 = 4.18/4.63/3.55), device-related thrombosis (ROR/ROR975/ROR025 = 21.27/37.57/12.04, IC/IC975/IC025 = 4.41/5.08/3.43), and activated partial thromboplastin time prolonged (ROR/ROR975/ROR025 = 20.68/36.51/11.71, IC/IC975/IC025 = 4.37/5.04/3.39) had the strongest signal intensities. Haemorrhage, haemarthrosis, arthralgia, fall, and injection site pain were reported more frequently.
Conclusion
This study found that mild arthralgia and injection site reaction were associated with emicizumab. Attention should also be paid to other serious adverse events related to emicizumab, such as acute myocardial infarction and sepsis, to ensure patient safety.
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Acknowledgements
We thank for Dr Yuchen Qin for his help in the language polish of the manuscript revision.
Funding
This study was supported by the China Natural Science Foundation (No. 82073671), the Leading Talents of Public Health in Shanghai (No. GWV-10.2-XD22), the Excellent Young Scholars of Public Health in Shanghai (No. GWV-10.2-YQ33), the Construction Plan of Key Disciplines of Public Health system in Shanghai (GWV-10.1-XK05), and the Military Key Discipline Construction Project (Health Service-Naval Health Service Organization and Command) (No.03).
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Wei, L., Tian, Y., Chen, X. et al. Data mining and analysis for emicizumab adverse event signals based on the Food and Drug Administration Adverse Event Reporting System database. Int J Clin Pharm 45, 622–629 (2023). https://doi.org/10.1007/s11096-022-01514-4
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DOI: https://doi.org/10.1007/s11096-022-01514-4