联合用药不良反应信号检测研究进展_West China Medical Journal

Authors：

 唐利 ^1,2 , 王程程 ^1,2 , 彭媛 ^1,2 ,  张志勇 ¹

1. ;
2. ;

Corresponding author：

张志勇, Email: asg-yong@163.com

Keywords：

联合用药; 不良反应; 信号检测

DOI：

10.7507/1002-0179.20150168

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

临床联合用药目前已广泛使用，其安全性问题也随之引起广泛关注。而联合用药不良反应信号检测方法能快速有效地筛选药物相互作用信号，对加强合理联合用药及安全监测具有重要意义，有利于将有限的医疗资源集中于高度危险的药物组合。目前已有多种方法被尝试引入该领域，为给我国联合用药不良反应的研究与发展提供参考，现对国内外在药物安全警戒工作中所运用的联合用药不良反应信号检测方法及其优缺点作一综述。

Citation： 唐利, 王程程, 彭媛, 张志勇. 联合用药不良反应信号检测研究进展. West China Medical Journal, 2015, 30(3): 585-588. doi: 10.7507/1002-0179.20150168 Copy

1.	Iyer SV, Harpaz R, Lependu P, et al. Mining clinical text for signals of adverse drug-drug interactions[J]. J Am Inform Assoc, 2014, 21(2):353-362.
2.	王盼. 基线模型在清开灵注射液与抗生素联合用药ADR信号检测中的应用研究[D]. 北京:北京中医药大学, 2012.
3.	Alsheikh-Ali AA, Abourjaily HM, Karas RH. Risk of adverse events with concomitant use of atorvastatin or simvastatin and glucose-lowering drugs (thiazolidinediones, metformin, sulfonylurea, insulin, and acarbose)[J]. Am J Cardiol, 2002, 89(11):1308-1310.
4.	Egberts AC, Meyboom RH, Van Puijenbroek EP. Use of measures of disproportionality in pharmacovigilance:three Dutch examples[J]. Drug Saf, 2002, 25(6):453-458.
5.	江静, 侯永芳, 刘秀娟, 等. 药品不良反应信号检测方法概述[J]. 中国药物警戒, 2010, 7(2):78-80.
6.	茆诗松. 贝叶斯统计[M]. 北京:中国统计出版社, 1999:1-6.
7.	Norén GN, Bate A, Orre R, et al. Extending the methods used to screen the WHO drug safety database towards analysis of complex associations and improved accuracy for rare events[J]. Stat Med, 2006, 25(21):3740-3757.
8.	范道津, 陈伟珂. 风险管理理论与工具[M]. 天津:天津大学出版社, 2010:85-86.
9.	Qian Y, Ye X, Du W, et al. A computerized system for detecting signals due to drug-drug interactions in spontaneous reporting systems[J]. Br J Clin Pharmacol, 2010, 69(1):67-73.
10.	Choi CA, Chang MJ, Choi HD, et al. Application of a drug-interaction detection method to the Korean National Health Insurance claims database[J]. Regul Toxicol Pharmacol, 2013, 67(2):294-298.
11.	Almenoff JS, DuMouchel W, KindmanLA, et al. Disproportionality analysis using empirical Bayes data mining:a tool for the evaluation of drug interaction in the post-marketing setting[J]. Pharmacoepidemiol Drug Saf, 2003, 12(6):517-521.
12.	Van Puijenbroek EP, Egberts AC, Meyboom RH, et al. Signalling possible drug-drug interactions in a spontaneous reporting system:delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole[J]. Br J Clin Pharmacol, 1999, 47(6):689-693.
13.	Wu XT, Barbar? D, Ye Y. Screening and interpreting multi-item associations based on log-linear modeling[C]//ACM SIGKDD International Conference on Knowledge Discovery and Date Mining. Washington, DC:SIGKDD, 2003:276-285.
14.	Thakrar BT, Grundschober SB, Doessegger L. Detecting signals of drug-drug interactions in a spontaneous reports database[J]. Br J Clin Pharmacol, 2007, 64(4):489-495.
15.	Norén GB, Bate A, Johansson K, et al. Duplicate detection in the WHO adverse drug reaction database[DB/OL].[2013-12-03]. http://www.who-umc.org/graphics/9717.pdf.
16.	罗宝章, 钱轶峰, 叶小飞, 等. 联合用药不良反应信号检测的两种基线模型及应用[J]. 中国卫生统计, 2009, 26(6):586-591.
17.	Bate A, Evans S. Quantitative signal detection using spontaneous ADR reporting[J]. Pharmacoepidemiol Drug Saf, 2009, 18(6):427-436.
18.	Tatonetti NP, Fernald GH, Altman RB. A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports[J]. J Am Med Inform Assoc, 2011, 19(1):79-85.
19.	Tatonetti NP, Denny JC, Murphy SN, et al. Detecting drug interactions from adverse-event reports:interaction between paroxetine and pravastatin increases blood glucose levels[J]. Clin Pharmacol Ther, 2011, 90(1):133-142.
20.	Gooden KM, Pan X, Kawabata H, et al. Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports[J]. J Am Med Inform Assoc, 2013, 20(3):590.
21.	Tatonetti NP, Denny JC, Altman RB. Response to "Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports" by Gooden et al[J]. J Am Med Inform Assoc, 2013, 20(3):591.
22.	Cami A, Manzi S, Arnold A, et al. Pharmacointeraction network models predict unknown drug-drug interactions[J]. PLoS One, 2013, 8(4):1-9.

1. Iyer SV, Harpaz R, Lependu P, et al. Mining clinical text for signals of adverse drug-drug interactions[J]. J Am Inform Assoc, 2014, 21(2):353-362.
2. 王盼. 基线模型在清开灵注射液与抗生素联合用药ADR信号检测中的应用研究[D]. 北京:北京中医药大学, 2012.
3. Alsheikh-Ali AA, Abourjaily HM, Karas RH. Risk of adverse events with concomitant use of atorvastatin or simvastatin and glucose-lowering drugs (thiazolidinediones, metformin, sulfonylurea, insulin, and acarbose)[J]. Am J Cardiol, 2002, 89(11):1308-1310.
4. Egberts AC, Meyboom RH, Van Puijenbroek EP. Use of measures of disproportionality in pharmacovigilance:three Dutch examples[J]. Drug Saf, 2002, 25(6):453-458.
5. 江静, 侯永芳, 刘秀娟, 等. 药品不良反应信号检测方法概述[J]. 中国药物警戒, 2010, 7(2):78-80.
6. 茆诗松. 贝叶斯统计[M]. 北京:中国统计出版社, 1999:1-6.
7. Norén GN, Bate A, Orre R, et al. Extending the methods used to screen the WHO drug safety database towards analysis of complex associations and improved accuracy for rare events[J]. Stat Med, 2006, 25(21):3740-3757.
8. 范道津, 陈伟珂. 风险管理理论与工具[M]. 天津:天津大学出版社, 2010:85-86.
9. Qian Y, Ye X, Du W, et al. A computerized system for detecting signals due to drug-drug interactions in spontaneous reporting systems[J]. Br J Clin Pharmacol, 2010, 69(1):67-73.
10. Choi CA, Chang MJ, Choi HD, et al. Application of a drug-interaction detection method to the Korean National Health Insurance claims database[J]. Regul Toxicol Pharmacol, 2013, 67(2):294-298.
11. Almenoff JS, DuMouchel W, KindmanLA, et al. Disproportionality analysis using empirical Bayes data mining:a tool for the evaluation of drug interaction in the post-marketing setting[J]. Pharmacoepidemiol Drug Saf, 2003, 12(6):517-521.
12. Van Puijenbroek EP, Egberts AC, Meyboom RH, et al. Signalling possible drug-drug interactions in a spontaneous reporting system:delay of withdrawal bleeding during concomitant use of oral contraceptives and itraconazole[J]. Br J Clin Pharmacol, 1999, 47(6):689-693.
13. Wu XT, Barbar? D, Ye Y. Screening and interpreting multi-item associations based on log-linear modeling[C]//ACM SIGKDD International Conference on Knowledge Discovery and Date Mining. Washington, DC:SIGKDD, 2003:276-285.
14. Thakrar BT, Grundschober SB, Doessegger L. Detecting signals of drug-drug interactions in a spontaneous reports database[J]. Br J Clin Pharmacol, 2007, 64(4):489-495.
15. Norén GB, Bate A, Johansson K, et al. Duplicate detection in the WHO adverse drug reaction database[DB/OL].[2013-12-03]. http://www.who-umc.org/graphics/9717.pdf.
16. 罗宝章, 钱轶峰, 叶小飞, 等. 联合用药不良反应信号检测的两种基线模型及应用[J]. 中国卫生统计, 2009, 26(6):586-591.
17. Bate A, Evans S. Quantitative signal detection using spontaneous ADR reporting[J]. Pharmacoepidemiol Drug Saf, 2009, 18(6):427-436.
18. Tatonetti NP, Fernald GH, Altman RB. A novel signal detection algorithm for identifying hidden drug-drug interactions in adverse event reports[J]. J Am Med Inform Assoc, 2011, 19(1):79-85.
19. Tatonetti NP, Denny JC, Murphy SN, et al. Detecting drug interactions from adverse-event reports:interaction between paroxetine and pravastatin increases blood glucose levels[J]. Clin Pharmacol Ther, 2011, 90(1):133-142.
20. Gooden KM, Pan X, Kawabata H, et al. Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports[J]. J Am Med Inform Assoc, 2013, 20(3):590.
21. Tatonetti NP, Denny JC, Altman RB. Response to "Use of an algorithm for identifying hidden drug-drug interactions in adverse event reports" by Gooden et al[J]. J Am Med Inform Assoc, 2013, 20(3):591.
22. Cami A, Manzi S, Arnold A, et al. Pharmacointeraction network models predict unknown drug-drug interactions[J]. PLoS One, 2013, 8(4):1-9.

Previous Article
超声内镜在胰腺非恶性肿瘤中的临床应用
Next Article
肾输尿管结石伴感染、局灶性肾盏扩张破裂一例

West China Medical Journal

联合用药不良反应信号检测研究进展

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content