Drug-Induced Thrombocytopenia Severity and Toxicity (DITPst): binary classification of drugs by human thrombocytopenia toxicity.

IF 3 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Expert Opinion on Drug Safety Pub Date : 2025-06-01 Epub Date: 2025-02-02 DOI:10.1080/14740338.2025.2460439
Xiaolu Nie, Fang Hu, Xiaoling Cheng, Jingyao Ma, Xiaoxia Peng, Feng Sun, Xin Ni, Siyan Zhan
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引用次数: 0

Abstract

Background: Drug-induced thrombocytopenia (DITP) often occurs in patients during clinical treatment. However, clinicians usually fail to distinguish which drugs can be plausible culprits accurately. We aimed to develop a large comprehensive drug benchmark database with DITP toxicity using the recommended method by FDA.

Research design and methods: We collected information from six databases that involved drug labeling information, literature, safety signal mining and laboratory testing to generate the annotated drug list with DITP toxicity. Then, we descripted the DITP positive-negative distribution based on the Anatomical Therapeutic Chemical (ATC) coding system; hotspot analysis was conducted to identify therapeutic categories of drugs within each organ system that warrant attention regarding DITP.

Results: The DITPst database comprised 1,765 drugs, of which 858 were DITP-positives, whereas 907 were negatives. The investigation of distribution across various therapeutic categories revealed the most frequent DITP-positive categories were immunostimulants (10/11), anti-inflammatory, and antirheumatic products (28/32), and antibacterials for systemic use (102/121). On the contrary, the least frequent DITP-positive therapeutic categories were diagnostic radiopharmaceuticals (12/12), pituitary and hypothalamic hormones and analogues (17/18), and drugs for constipation (16/17).

Conclusions: We consider the DITPst benchmark database to be an invaluable resource for the community to improve DITP safety research and drug development.

药物性血小板减少的严重程度和毒性(ditpst):根据人血小板减少毒性对药物进行二元分类。
背景:药物性血小板减少症(DITP)经常发生在临床治疗过程中。然而,临床医生通常无法准确区分哪些药物可能是可能的罪魁祸首。我们的目标是使用FDA推荐的方法建立一个大型的综合药物基准数据库。研究设计和方法:我们从6个数据库中收集药物标签信息、文献资料、安全信号挖掘和实验室检测等信息,生成具有DITP毒性的标注药物清单。然后基于解剖治疗化学(ATC)编码系统描述了DITP的正负分布;进行热点分析,以确定各器官系统中值得关注的药物治疗类别。结果:DITPst数据库共收录1765种药物,其中阳性药物858种,阴性药物907种。对不同治疗类别分布的调查显示,ddip阳性最常见的类别是免疫刺激剂(10/11),抗炎和抗风湿产品(28/32),全身使用的抗菌药物(102/121)。相反,最少出现ddip阳性的治疗类别是诊断性放射性药物(12/12)、垂体和下丘脑激素及类似物(17/18)、便秘药物(16/17)。结论:我们认为DITPst基准数据库是提高DITP安全性研究和药物开发的宝贵资源。
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来源期刊
CiteScore
5.90
自引率
3.20%
发文量
97
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Safety ranks #62 of 216 in the Pharmacology & Pharmacy category in the 2008 ISI Journal Citation Reports. Expert Opinion on Drug Safety (ISSN 1474-0338 [print], 1744-764X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on all aspects of drug safety and original papers on the clinical implications of drug treatment safety issues, providing expert opinion on the scope for future development.
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