DOI 10.1080/14740338.2023.2223952
Post-Marketing Safety Concerns with Upadacitinib: A Disproportionality Analysis of the FDA Adverse Event Reporting system.
Аннотация
BACKGROUND
Upadacitinib was approved to treat rheumatoid arthritis, psoriasis, ulcerative colitis, ankylosing spondylitis, and atopic dermatitis. This study assessed the adverse events (AEs) associated with upadacitinib by mining data from the US 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 upadacitinib-associated AEs.
RESULTS
A total of 3,837,420 reports of AEs were collected from the FAERS database, of which 4494 reports were identified with upadacitinib as the "primary suspect (PS)". Upadacitinib-induced AEs occurrence targeted 27 system organ clases (SOCs). A total of 200 significant disproportionality PTs conforming to the four algorithms were simultaneously retained. Unexpected significant AEs, such as arthralgia, musculoskeletal stiffness, diverticulitis, and cataract might also occur. The median onset time of upadacitinib-associated AEs was 65 days (interquartile range [IQR] 21-182 days), and most of the onsets occurred within the first 1, 2, 3, and 4 months after initiation of upadacitinib.
CONCLUSION
This study found potential new AEs signals and might provide important support for clinical monitoring and risk identification of upadacitinib.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.