Safety of daratumumab in the real-world: a pharmacovigilance study based on FAERS database.

Junlin Wu, Hanbiao Wu, Lili Chen, Haiping Liang, Guoning Huang, Sensen Yang, Bishan Chen, Yoshihiro Noguchi, Yonggang Shen
Author Information
  1. Junlin Wu: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China. ORCID
  2. Hanbiao Wu: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
  3. Lili Chen: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
  4. Haiping Liang: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
  5. Guoning Huang: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
  6. Sensen Yang: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
  7. Bishan Chen: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
  8. Yoshihiro Noguchi: Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan. ORCID
  9. Yonggang Shen: Key Specialty of Clinical Pharmacy, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.

Abstract

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.

Keywords

MeSH Term

Humans
Pharmacovigilance
Adverse Drug Reaction Reporting Systems
Antibodies, Monoclonal
Databases, Factual
Male
Female
Aged
Middle Aged
United States
Multiple Myeloma
Adult
Aged, 80 and over
Antineoplastic Agents
United States Food and Drug Administration
Adolescent
Young Adult
Immunoglobulin Light-chain Amyloidosis
Time Factors
Bayes Theorem

Chemicals

daratumumab
Antibodies, Monoclonal
Antineoplastic Agents

Word Cloud

Created with Highcharts 10.0.0daratumumabAEFAERSAEsstudysignalsdatabasesafetylevelsstudiesusedamyloidosisadversedatadisproportionalityanalysisreportingratioreportsdrugprovidedBACKGROUND:DaratumumabwidelymultiplemyelomaMMlightchainALpurposeidentifyeventFDAAdverseEventReportingSystemassesslargesamplepeopleMETHODS:BasedthreemethodsmineincludingoddRORproportionalPRRbayesianconfigurationpromotionneuralnetworkBCPNNRESULTS:total9220primarysuspectcollectedcontaining23946Within252preferredtermsPT73highleveltermHLT11systemorganclassSOCdetectedalongnewoccurredwithinfirstmonthadministrationCONCLUSION:findingsconsistentresultsestablishedgoodprofilenewlyidentifiedconcernprospectiveclinicalneededconfirmwhethercausallyrelatedearlywarningsafeusealsoguidanceSafetyreal-world:pharmacovigilancebasedPharmacovigilanceeventsmining

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