A Real-World Disproportionality Analysis of FDA Adverse Event Reporting System(FAERS) Event for Belatacept.

IF 0.8
Chengze Liang, Turun Song, Tao Lin
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Abstract

Objective: This study aims to comprehensively evaluate the safety profile of belatacept administration in real-world clinical settings.

Methods: Disproportionality analysis methodologies, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms, were utilized to quantify real-world adverse event (AE) signals associated with belatacept.

Results: A total of 4631 adverse event reports were extracted from the FDA Adverse Event Reporting System (FAERS) database, of which 2337 adverse events were identified as "primary suspect" (PS) attributed to belatacept. Belatacept-related adverse events involved 27 system organ classes (SOCs). Common adverse reaction preferred terms (PTs) consistent with the FDA label for belatacept identified in FAERS analysis included anemia (PT: 10019281), diarrhea (PT: 10012736), and urinary tract infection (PT: 10046577). Notably, several potential novel or off-label adverse event signals were detected in the analysis, including multiple organ transplant rejection (ROR = 976.42), tertiary syphilis (ROR = 901.31), removal of renal transplant (ROR = 857.72), perinephric fluid collection (ROR = 563.03), graft loss (ROR = 549.26), polyomavirus positive (ROR = 548), subcapsular renal hematoma (ROR = 475.53), renal transplant rejection (ROR = 293.73), renal transplant failure (ROR = 204.27), polyomavirus viremia (ROR = 203.62), renal vein thrombosis (ROR = 171), renal transplant infection (ROR = 168.26), injection (ROR = 154.2), and graft hemorrhage (ROR = 152.17). The distribution of adverse event reports varied across populations. Most reports were submitted by consumers (P = .0099), and females were predominantly represented. There was a significant age difference between female and male patients (P = .035).

Conclusion: This study identifies potential novel adverse event signals for belatacept within the FAERS database, and highlights age, sex differences, and comorbidity complexity in adverse event distribution, providing essential references for clinical drug safety and subsequent mechanistic research.

FDA不良事件报告系统(FAERS)对belataccept事件的实际歧化分析。
目的:本研究旨在全面评估临床环境中给药的安全性。方法:歧化分析方法,包括报告优势比(ROR)、比例报告比(PRR)、贝叶斯置信传播神经网络(BCPNN)和多项目伽玛泊松收缩(MGPS)算法,用于量化与belatacept相关的现实世界不良事件(AE)信号。结果:从FDA不良事件报告系统(FAERS)数据库中共提取4631例不良事件报告,其中2337例不良事件被确定为“主要怀疑”(PS),归因于belatacept。belataccept相关不良事件涉及27个系统器官类别(soc)。FAERS分析中发现的与FDA标签一致的常见不良反应首选项(PTs)包括贫血(PT: 10019281)、腹泻(PT: 10012736)和尿路感染(PT: 10046577)。值得注意的是,在分析中发现了一些潜在的新的或超标不良事件信号,包括多器官移植排斥反应(ROR = 976.42)、三期梅毒(ROR = 901.31)、肾移植切除(ROR = 857.72)、肾周积液(ROR = 563.03)、移植物丢失(ROR = 549.26)、多瘤病毒阳性(ROR = 548)、肾包膜下血肿(ROR = 475.53)、肾移植排斥反应(ROR = 293.73)、肾移植失败(ROR = 204.27)、肾移植排斥反应(ROR = 293.73)和肾移植失败(ROR = 204.27)。多瘤病毒血症(ROR = 203.62)、肾静脉血栓形成(ROR = 171)、肾移植感染(ROR = 168.26)、注射(ROR = 154.2)、移植物出血(ROR = 152.17)。不良事件报告的分布因人群而异。大多数报告是由消费者提交的(P = 0.0099),女性占主导地位。男女患者年龄差异有统计学意义(P = 0.035)。结论:本研究在FAERS数据库中发现了belatacept潜在的新不良事件信号,突出了不良事件分布的年龄、性别差异和合并症复杂性,为临床药物安全性及后续机制研究提供了重要参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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