ABSTRACT
Background
Abrocitinib was newly approved for treatment of moderate-to-severe atopic dermatitis. The present study was to assess abrocitinib-related adverse events (AEs) using the Food and Drug Administration Adverse Event Reporting System (FAERS).
Methods
Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the Bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) algorithms, were employed to quantify the signals of abrocitinib-related AEs.
Results
A total of 3,177,744 reports of AEs were collected from the FAERS database, of which 1370 reports were identified with abrocitinib as the primary suspect drug. Abrocitinib-induced adverse events (AEs) occurred across 27 system organ classes (SOCs). A total of 68 preferred terms (PTs) with significant disproportionality, meeting the criteria of all four algorithms simultaneously, were identified. Unexpected significant AEs, such as increased blood cholesterol, venous embolism, hypoacusis, cellulitis, and tuberculosis, might also occur. The median onset time for abrocitinib-associated AEs was 182 days (interquartile range [IQR] 47–527 days).
Conclusions
The results of this study were consistent with clinical observations. Additionally, unexpected safety signals for abrocitinib were identified, which provided supportive information for the safety profile of abrocitinib. Prospective clinical studies are warranted to validate these findings.
Declaration of interests
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
Reviewer disclosures
Peer reviewers on this manuscript have no relevant financial or other relationships to disclose.
Author contributions
Zhou Zhu and Jun Li conceived the research. Zhou Zhu carried out literature search and drafted the manuscript. All authors participated in data collection and analysis, manuscript revision, and approval of the submitted version.
Ethics statement
Institutional review board approval was not required for this study as FAERS is a publicly available anonymized database.
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/14740338.2024.2356020