肿瘤药学2018，Vol.8Issue(2)：274-278,287,6.DOI:10.3969/j.issn.2095-1264.2018.02.34
比值失衡测量法在甲氨蝶呤不良反应信号挖掘中的应用与分析
Analysis and Application of Measures of Dis-proportionality in Methotrexate Adverse Reaction Signal Mining
李双娇 1陈力 2吴珊 3黄琳4
作者信息
- 1. 四川大学华西第二医院 药学部,四川 成都,610041
- 2. 四川大学华西第二医院 循证药学中心,四川 成都,610041
- 3. 出生缺陷与相关妇儿疾病教育部重点实验室,四川 成都,610041
- 4. 乐山市人民医院药学部,四川 乐山,614000
- 折叠
摘要
Abstract
Objective This study provides a reference for rational and safe clinical medication through the signal mining analysis on the adverse reactions of methotrexate. Methods We used the reporting odds ratio (ROR) and the proportional reporting ratio (PRR) to analyze the data of methotrexate from the united states FDA adverse event reporting ssystem (FAERS),and a total of 20 quarterly reports were used for data mining from the first quarter of 2012 to the fourth quarter of 2016. Results Calculated by the ROR and PRR methods, 1364 sig-nals were obtained, and the signals were completely coincident. 66 cases were obtained by twice-screen on the signal preferred terms (PT), of which 31 cases were new adverse reactions. Conclusion Strong signal of Methotrexate was found and new adverse reaction signals were observed including the influence of drugs treatment (increased chemotherapeutic drugs, decreased drug clearance), skeletal muscle systems, and skin effects (seborrheic eczema, lichenoid keratosis). It provides reference for the clinical medication supervision of medical staff and takes the corresponding risk precautionary measures.关键词
甲氨蝶呤/报告比值比法/比例报告比值比法/药品不良反应/信号挖掘Key words
Methotrexate/ROR method/PRR method/Adverse drug reactions/Signal mining分类
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李双娇,陈力,吴珊,黄琳..比值失衡测量法在甲氨蝶呤不良反应信号挖掘中的应用与分析[J].肿瘤药学,2018,8(2):274-278,287,6.
