简述分析几种信号监测方法在药物不良事件中的应用

代菲; 舒丽芯; 储藏; 陈盛新; 储文功

doi:10.3969/j.issn.1006-0111.2012.05.018

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简述分析几种信号监测方法在药物不良事件中的应用

代菲, 舒丽芯, 储藏, 陈盛新, 储文功

文章导航 > 药学实践与服务 > 2012 > 30(5): 380-383

代菲, 舒丽芯, 储藏, 陈盛新, 储文功. 简述分析几种信号监测方法在药物不良事件中的应用[J]. 药学实践与服务, 2012, 30(5): 380-383. doi: 10.3969/j.issn.1006-0111.2012.05.018

引用本文:

DAI Fei, SHU Li-xin, CHU Cang, CHENG Sheng-xin, CHU Wen-gong. Brief analysis the application of several signal monitoring methods in adverse drug events[J]. Journal of Pharmaceutical Practice and Service, 2012, 30(5): 380-383. doi: 10.3969/j.issn.1006-0111.2012.05.018

Citation:

DAI Fei, SHU Li-xin, CHU Cang, CHENG Sheng-xin, CHU Wen-gong. Brief analysis the application of several signal monitoring methods in adverse drug events[J]. Journal of Pharmaceutical Practice and Service, 2012, 30(5): 380-383. doi: 10.3969/j.issn.1006-0111.2012.05.018

简述分析几种信号监测方法在药物不良事件中的应用

doi: 10.3969/j.issn.1006-0111.2012.05.018

第二军医大学药事管理教研室, 上海 200433

Brief analysis the application of several signal monitoring methods in adverse drug events

Department of Pharmacy Administration, Second Military Medical University, Shanghai 200433, China

摘要: 目的分析国内外用于药物不良反应信号监测的几种监测算法。方法运用文献分析法和系统分析法,阐述国内外针对药物不良反应信号的提取采取的一系列算法。结果我国逐步开始引用不同的信号监测算法来发现药物不良反应(ADR)信号。结论安全用药是当今和今后仍需要密切关注的问题,而药品安全性监测主要是通过对药品上市后不良信号监测来实现的。我们概括分析了目前国内外使用的有关信号监测的不同数据挖掘算法,为我国药品不良反应信号的处理提供参考,从而做好药物的安全警戒。
- 信号监测 /
- 药品安全性监测 /
- 数据挖掘方法 /
- 药品不良反应
Abstract: Objective To analyze several adverse drug reaction monitoring methods in home and aboard. Methods Literature analysis and system analysis method were used to illustrate a series of calculation methods in signal extraction of adverse drug reaction. Results China had gradually begun to use different signal monitoring algorithms to detect adverse drug reaction (ADR) signals. Conclusion Medication safety issue still needed to be paid close attention to in current and future, and drug safety monitoring was mainly through the post-marketing adverse signal monitoring to achieve. Different data mining algorithms for relevant signal monitoring at home and in abroad were summarized, which would provide reference for our adverse drug reaction signal processing, and do good to the drug safety alert.
- signal monitoring /
- drug safety monitoring /
- data mining algorithms /
- adverse drug reaction

[1]	Moore N, Thiessard F, Begaud B. The history of disproportionality measures (reporting odds ratio, proportional reporting rates) in spontaneous reporting of adverse drug reactions[J]. Pharmacoepidemiol Drug Saf, 2005, 14(4):285.
[2]	Rahul S, Amitava M. An urn model with applications to database performance evaluation[J].Computers &Operations Research, 1997, 24(4):289.
[3]	Poluzzi E, Raschi E, Motola D,et al. De Ponti F. Antimicrobials and the risk of torsades de pointes:the contribution from data mining of the US FDA Adverse Event Reporting System[J]. Drug Saf, 2010, 33(4):303.
[4]	Woo EJ,Ball R, Burwen DR,et al. Effects of stratification on data mining in the us vaccine adverse event reporting system[J].DrugSaf, 2008, 31(8):667.
[5]	陈炯华,魏永越,谢雁鸣. 基于SRS的中药上市后安全性信号监测方法介绍[J].中成药, 2010, (06):1036.
[6]	叶小飞,王海南,陈文,等. 数据挖掘在药物警戒中的应用[J].中国药物警戒, 2008, (01):36.
[7]	Manfred Hauben, Sebastian Horn, Lester Reich Potential. Use of Data-Mining Algorithms for the Detection of surprise Adverse Drug Reactions[J]. Drug Saf, 2007, 30 (2):143.
[8]	Bate A, Lindquist M, Edwards IR,et al. A Bayesian neural network method for adverse drug reaction singal generation[J].Eur J Clin Pharmacol,1998,54(4):315.
[9]	Man YP, Dukyong Y. A novel algorithm for detection of adverse drug reaction signals using a hospital electronic medical record database[J]. Pharmacoepidemiol Drug Saf, 2011, 20(6):598.
[10]	Kim J, Kim M, Ha JH,et al. Signal detection of methylphenidate by comparing a spontaneous reportingdatabase with a claims database[J]. Regul Toxicol Pharmacol, 2011, 61(2):154.
[11]	Hochberg AM, Hauben M, Pearson RK,et al. An evaluation of three signal-detection algorithms using a highly inclusive reference event database[J]. Drug Saf, 2009, 32 (6):509.
[12]	Bate A. Bayesian confidence propagation neural network[J]. Drug Saf, 2007, 30 (7):623.
[13]	Kubota K, Koide D, Hirai T. Comparison of data mining methodologies using Japanese spontaneous reports[J]. Pharmacoepidemiol Drug Saf, 2004, 13(6):387.

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简述分析几种信号监测方法在药物不良事件中的应用

doi: 10.3969/j.issn.1006-0111.2012.05.018

第二军医大学药事管理教研室, 上海 200433

收稿日期: 2011-11-24
修回日期: 2012-05-16

关键词:

摘要: 目的分析国内外用于药物不良反应信号监测的几种监测算法。方法运用文献分析法和系统分析法,阐述国内外针对药物不良反应信号的提取采取的一系列算法。结果我国逐步开始引用不同的信号监测算法来发现药物不良反应(ADR)信号。结论安全用药是当今和今后仍需要密切关注的问题,而药品安全性监测主要是通过对药品上市后不良信号监测来实现的。我们概括分析了目前国内外使用的有关信号监测的不同数据挖掘算法,为我国药品不良反应信号的处理提供参考,从而做好药物的安全警戒。