Dehua Zhao, Xiaoqing Long, Jiping Zhou, Jisheng Wang
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Disproportionality analysis was performed by calculating the proportional reporting ratio (PRR), reporting odds ratios (ROR), and Bayesian analysis confidence propagation neural network (BCPNN) to detect positive signals.</p><p><strong>Results: </strong>Our findings revealed 149 AE reports, among which 36 significant signals were identified. These significant AE signals were mainly observed in gastrointestinal disorders (N = 26, ROR = 26.03, PRR = 8.44, information component [IC] = 3.08) and skin and subcutaneous tissue disorders (N = 21, ROR = 92.13, PRR = 40.41, IC = 5.34). Notably, dehydration and skin exfoliation were unexpected AEs, but had relatively high signal intensities (ROR = 29.75, PRR = 26.64, IC = 4.74; ROR = 50.61, PRR = 45.24, IC = 5.50, respectively) despite not being listed on the drug label. Furthermore, our analysis showed that infigratinib dose differed statistically between severe and non-severe reports (113.82 ± 16.13 mg vs 125 ± 0.00 mg, t = - 4.28; p < 0.001). However, there were no significant differences in sex, age, and types of AEs between the two groups (p = 0.06, p = 0.86, and p = 0.93, respectively).</p><p><strong>Conclusions: </strong>These findings suggest that gastrointestinal and skin toxicities are the most common adverse reactions for infigratinib. It is important to recognize skin exfoliation and dehydration in clinical practice, as they are unexpected AEs. 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However, few studies have been conducted to evaluated the safety of infigratinib in the real world. In this study, we conducted a pharmacovigilance study to evaluate the adverse events (AEs) of infigratinib by using the Food and Drug Administration Adverse Event Reporting System (FAERS) database.</p><p><strong>Methods: </strong>OpenVigil 2.1 was employed to extract the FAERS database. Descriptive analysis was used to describe the characteristics of infigratinib-associated AE reports. Disproportionality analysis was performed by calculating the proportional reporting ratio (PRR), reporting odds ratios (ROR), and Bayesian analysis confidence propagation neural network (BCPNN) to detect positive signals.</p><p><strong>Results: </strong>Our findings revealed 149 AE reports, among which 36 significant signals were identified. 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引用次数: 1
摘要
背景:Infigratinib是一种纤维母细胞生长因子受体(FGFR)特异性酪氨酸激酶抑制剂,适用于既往治疗,不可切除,局部晚期或转移性胆管癌患者的治疗。然而,很少有研究在现实世界中评估消炎替尼的安全性。在这项研究中,我们利用美国食品和药物管理局不良事件报告系统(FAERS)数据库进行了一项药物警戒研究,以评估消炎替尼的不良事件(ae)。方法:采用OpenVigil 2.1软件提取FAERS数据库。描述性分析用于描述与消炎替尼相关的AE报告的特征。通过计算比例报告比(PRR)、报告优势比(ROR)和贝叶斯分析置信度传播神经网络(BCPNN)进行歧化分析,以检测阳性信号。结果:我们发现了149例AE报告,其中识别出36例显著信号。这些显著声发射信号主要见于胃肠道疾病(N = 26, ROR = 26.03, PRR = 8.44,信息分量[IC] = 3.08)和皮肤及皮下组织疾病(N = 21, ROR = 92.13, PRR = 40.41, IC = 5.34)。值得注意的是,脱水和皮肤脱落是意外的ae,但具有相对较高的信号强度(ROR = 29.75, PRR = 26.64, IC = 4.74;ROR = 50.61, PRR = 45.24, IC = 5.50),尽管未在药品标签上列出。此外,我们的分析显示,严重和非严重报告的炎症加替尼剂量有统计学差异(113.82±16.13 mg vs 125±0.00 mg, t = - 4.28;结论:这些发现表明胃肠道和皮肤毒性是消炎替尼最常见的不良反应。在临床实践中认识到皮肤脱落和脱水是很重要的,因为它们是意想不到的ae。此外,我们的研究表明,发炎替尼的剂量可能与AE严重程度的风险增加相关,强调当由于内部或外部因素导致药物暴露增加时,需要调整发炎替尼的剂量。
Pharmacovigilance Study of Infigratinib: A Safety Analysis of the FDA Adverse Event Reporting System.
Background: Infigratinib is a fibroblast growth factor receptor (FGFR)-specifc tyrosine kinase inhibitor indicated for the treatment of patients with previously treated, unresectable, locally advanced or metastatic cholangiocarcinoma. However, few studies have been conducted to evaluated the safety of infigratinib in the real world. In this study, we conducted a pharmacovigilance study to evaluate the adverse events (AEs) of infigratinib by using the Food and Drug Administration Adverse Event Reporting System (FAERS) database.
Methods: OpenVigil 2.1 was employed to extract the FAERS database. Descriptive analysis was used to describe the characteristics of infigratinib-associated AE reports. Disproportionality analysis was performed by calculating the proportional reporting ratio (PRR), reporting odds ratios (ROR), and Bayesian analysis confidence propagation neural network (BCPNN) to detect positive signals.
Results: Our findings revealed 149 AE reports, among which 36 significant signals were identified. These significant AE signals were mainly observed in gastrointestinal disorders (N = 26, ROR = 26.03, PRR = 8.44, information component [IC] = 3.08) and skin and subcutaneous tissue disorders (N = 21, ROR = 92.13, PRR = 40.41, IC = 5.34). Notably, dehydration and skin exfoliation were unexpected AEs, but had relatively high signal intensities (ROR = 29.75, PRR = 26.64, IC = 4.74; ROR = 50.61, PRR = 45.24, IC = 5.50, respectively) despite not being listed on the drug label. Furthermore, our analysis showed that infigratinib dose differed statistically between severe and non-severe reports (113.82 ± 16.13 mg vs 125 ± 0.00 mg, t = - 4.28; p < 0.001). However, there were no significant differences in sex, age, and types of AEs between the two groups (p = 0.06, p = 0.86, and p = 0.93, respectively).
Conclusions: These findings suggest that gastrointestinal and skin toxicities are the most common adverse reactions for infigratinib. It is important to recognize skin exfoliation and dehydration in clinical practice, as they are unexpected AEs. Additionally, our study indicates that infigratinib dose may correlate with an increased risk of AE severity, highlighting the need for dose adjustment of infigratinib when exposure to the drug is increased due to internal or external factors.
期刊介绍:
Drugs in R&D is an international, peer reviewed, open access, online only journal, and provides timely information from all phases of drug research and development that will inform clinical practice. Healthcare decision makers are thus provided with knowledge about the developing place of a drug in therapy.
The Journal includes:
Clinical research on new and established drugs;
Preclinical research of direct relevance to clinical drug development;
Short communications and case study reports that meet the above criteria will also be considered;
Reviews may also be considered.