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Safety of daratumumab in the real-world: a pharmacovigilance study based on FAERS database
Junlin Wu1, Hanbiao Wu1, Lili Chen1
1Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
Background:
Daratumumab is widely used in multiple myeloma (MM) and light chain amyloidosis (AL amyloidosis). The purpose of this study was to identify adverse event (AE) signals for daratumumab through the FDA Adverse Event Reporting System (FAERS) database to assess its safety in a large sample of people.
Methods:
Based on data from the FAERS database, three disproportionality analysis methods were used to mine AE signals for daratumumab, including reporting odd ratio (ROR), proportional reporting ratio (PRR), and bayesian configuration promotion neural network (BCPNN).
Results:
A total of 9220 AE reports with daratumumab as the primary suspect drug were collected, containing 23,946 AEs. Within these reports, 252 preferred terms (PT) levels, 73 high level term (HLT) levels and 11 system organ class (SOC) levels of AE signals were detected, along with some new AEs. Most AEs occurred within the first month after drug administration.
Conclusion:
Our findings were consistent with the results of established studies that daratumumab has a good safety profile. The newly identified AEs are of concern and prospective clinical studies are needed to confirm whether they are causally related to daratumumab. This study provided an early warning for the safe use of daratumumab and also provided guidance for further safety studies.
Insights
Daratumumab demonstrates a favorable safety profile in multiple myeloma and AL amyloidosis, with most adverse events (AEs) occurring early. New potential AEs require further investigation to confirm causality.
Area of Science:
- Pharmacovigilance
- Oncology
- Hematology
Background:
- Daratumumab is a key therapeutic agent for multiple myeloma (MM) and light chain amyloidosis (AL amyloidosis).
- Assessing the safety profile of widely used drugs is crucial for patient care and treatment optimization.
Purpose of the Study:
- To identify potential adverse event (AE) signals associated with daratumumab using the FDA Adverse Event Reporting System (FAERS) database.
- To evaluate the safety of daratumumab in a large patient population.
Main Methods:
- Disproportionality analysis methods, including reporting odd ratio (ROR), proportional reporting ratio (PRR), and Bayesian configuration promotion neural network (BCPNN), were employed.
- Analysis was based on AE reports from the FAERS database where daratumumab was the primary suspect drug.
Main Results:
- A total of 9,220 AE reports (23,946 AEs) were analyzed.
- AE signals were detected across 252 preferred terms (PT), 73 high-level terms (HLT), and 11 system organ classes (SOC).
- The majority of identified AEs occurred within the first month of daratumumab administration, and some novel AEs were identified.
Conclusions:
- The study findings align with existing literature, indicating a generally good safety profile for daratumumab.
- Newly identified potential AEs warrant further investigation through prospective clinical studies to establish a causal relationship.
- This research provides an early warning system for daratumumab's safe usage and guides future safety research.
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