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自发不良事件报告中与药物治疗相关的间质性肺疾病的不成比例性分析。

A disproportionality analysis of interstitial lung disease associated with drug therapy in spontaneous adverse event reports.

作者信息

Yuan Jiao, Li Zhiping, Ye Meifang, Fu Zhiwen

机构信息

Department of Pharmacy, Dongguan Binhaiwan Center Hospital, Dongguan, China.

Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

出版信息

Expert Opin Drug Saf. 2025 Apr 17:1-9. doi: 10.1080/14740338.2025.2494689.

Abstract

BACKGROUND

Interstitial lung disease (ILD) is a group of disorders characterized by inflammation and fibrosis of lung tissue that make it hard to carry oxygen. Our study aimed to comprehensively evaluate the risk of drug-induced ILD using data from the FDA Adverse Event Reporting System (FAERS) database.

RESEARCH DESIGN AND METHODS

We queried the ILD reports from 2004 to 2023. The reporting odds ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) were calculated to detect disproportionality signals for drugs associated with ILD.

RESULTS

A total of 39,332 ILD-related reports were identified. The most frequently reported drugs were Methotrexate ( = 1245), followed by Pembrolizumab ( = 1026), Amiodarone ( = 975), Rituximab ( = 915), and Doxorubicin ( = 911). Disproportionality analysis revealed significant signals for the top 50 drugs, including Trastuzumab deruxtecan (ROR 56.25, 95% CI 51.27-61.72; IC025 5.49), Ramucirumab (ROR 27.80, 95% CI 241.6-31.99; IC025 4.50), Amiodarone (ROR 24.35, 95% CI 22.82-25.99; IC025 4.40), Gefitinib (ROR 23.02, 95% CI 20.66-25.66; IC025 4.29), and Doxorubicin (ROR 13.99, 95% CI 13.09-14.95; IC025 3.64).

CONCLUSIONS

Drug-induced ILD represents a significant challenge in clinical practice. Our findings underscore the importance of maintaining a high index of suspicion for drug-induced ILD, particularly when prescribing medications identified as having significant associations with ILD.

摘要

背景

间质性肺疾病(ILD)是一组以肺组织炎症和纤维化为特征的疾病,这些病变会导致吸氧困难。我们的研究旨在利用美国食品药品监督管理局不良事件报告系统(FAERS)数据库中的数据,全面评估药物性ILD的风险。

研究设计与方法

我们查询了2004年至2023年的ILD报告。计算报告比值比(ROR)和贝叶斯置信传播神经网络(BCPNN),以检测与ILD相关药物的不成比例信号。

结果

共识别出39332份与ILD相关的报告。报告频率最高的药物是甲氨蝶呤(n = 1245),其次是帕博利珠单抗(n = 1026)、胺碘酮(n = 975)、利妥昔单抗(n = 915)和多柔比星(n = 911)。不成比例分析显示,前50种药物存在显著信号,包括曲妥珠单抗德鲁替康(ROR 56.25,95% CI 51.27 - 61.72;IC025 5.49)、雷莫西尤单抗(ROR 27.80,95% CI 24.16 - 31.99;IC025 4.50)、胺碘酮(ROR 24.35,95% CI 22.82 - 25.99;IC025 4.40)、吉非替尼(ROR 23.02,95% CI 20.66 - 25.66;IC025 4.29)和多柔比星(ROR 13.99,95% CI 13.09 - 14.95;IC025 3.64)。

结论

药物性ILD是临床实践中的一项重大挑战。我们的研究结果强调了对药物性ILD保持高度怀疑的重要性,尤其是在开具被确定与ILD有显著关联的药物时。

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