Data mining and analysis of adverse event signals associated with teprotumumab using the Food and Drug Administration adverse event reporting system database

Background Teprotumumab was approved by the US Food and Drug Administration (FDA) for the treatment of thyroid eye disease in 2020. However, its adverse events (AEs) have not been investigated in real-world settings. Aim This study aimed to detect and evaluate AEs associated with teprotumumab in the real-world setting by conducting a pharmacovigilance analysis of the FDA Adverse Event Reporting System (FAERS) database. Method Reporting odds ratio (ROR) was used to detect risk signals from the data from January 2020 to March 2023 in the FAERS database. Results A total of 3,707,269 cases were retrieved, of which 1542 were related to teprotumumab. The FAERS analysis identified 99 teprotumumab-related AE signals in 14 System Organ Classes (SOCs). The most frequent AEs were muscle spasms (n = 287), fatigue (n = 174), blood glucose increase (n = 121), alopecia (n = 120), nausea (n = 118), hyperacusis (n = 117), and headache (n = 117). The AEs with strongest signal strengths were autophony (ROR = 14,475.49), deafness permanent (ROR = 1853.35), gingival recession (ROR = 190.74), deafness neurosensory (ROR = 129.89), nail growth abnormal (ROR = 103.67), onychoclasis (ROR = 73.58), ear discomfort (ROR = 72.88), and deafness bilateral (ROR = 62.46). Eleven positive AE signals were found at the standardized MedDRA queries (SMQs) level, of which the top five SMQs were hyperglycemia/new-onset diabetes mellitus, hearing impairment, gastrointestinal nonspecific symptoms and therapeutic procedures, noninfectious diarrhea, and hypertension. Age significantly increased the risk of hearing impairment. Conclusion This study identified potential new and unexpected AE signals of teprotumumab. Our findings emphasize the importance of pharmacovigilance analysis in the real world to identify and manage AEs effectively, ultimately improving patient safety during teprotumumab treatment..

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:46

Enthalten in:

International journal of clinical pharmacy - 46(2024), 2 vom: 20. Jan., Seite 471-479

Sprache:

Englisch

Beteiligte Personen:

Zhang, Sha [VerfasserIn]
Wang, Yidong [VerfasserIn]
Qi, Zhan [VerfasserIn]
Tong, Shanshan [VerfasserIn]
Zhu, Deqiu [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

BKL:

44.40 / Pharmazie / Pharmazeutika

Themen:

Adverse events
Data mining
FAERS
Pharmacovigilance
Teprotumumab

Anmerkungen:

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

doi:

10.1007/s11096-023-01676-9

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

SPR05526543X