| アブストラクト | BACKGROUND: Finerenone was approved for the treatment of type 2 diabetes patients with chronic kidney disease. However, the post-marketing safety of finerenone in the real world is unknown. METHODS: The quarterly reported data related to finerenone from the third quarter of 2021 to the second quarter of 2023 were collected by using the FAERS database. Two disproportionality analysis methods were estimated by using Reporting odds ratio (ROR) and Bayesian confidence propagation neural network (BCPNN). RESULTS: A total of 1067 adverse events (AEs) were included. Twenty-four kinds of system organ classes (SOCs) were classified for the organs and systems involved and 39 AEs with significant safety signals were identified using ROR and BCPNN at the preferred terms (PTs) level. Most AEs originated from the United States, and the median time to onset of AEs was 13 days. Three hundred and fifty-one (55.5%) reported serious outcome. The proportion of medication combinations was 29.0%. The most commonly reported AEs were the glomerular filtration rate decreased. Safety signals have also been observed in new and unexpected AEs. CONCLUSION: The analysis of the AE signals may contribute to minimizing the risks associated with its use. |
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| ジャーナル名 | Expert opinion on drug safety |
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| Pubmed追加日 | 2024/8/21 |
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| 投稿者 | Jin, Yiyi; Fan, Miao; Zheng, Xiaomeng; Zhu, Suyan |
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| 組織名 | Department of Pharmacy, The First Affiliated Hospital of Ningbo University,;Ningbo, China. |
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| Pubmed リンク | https://www.ncbi.nlm.nih.gov/pubmed/39167069/ |
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