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普瑞巴林滥用倾向信号——来自瑞典自发药物不良反应报告系统的结果。

A signal for an abuse liability for pregabalin--results from the Swedish spontaneous adverse drug reaction reporting system.

机构信息

Uppsala Drug Information Center, Uppsala County Council, Uppsala, Sweden.

出版信息

Eur J Clin Pharmacol. 2010 Sep;66(9):947-53. doi: 10.1007/s00228-010-0853-y. Epub 2010 Jun 19.


DOI:10.1007/s00228-010-0853-y
PMID:20563568
Abstract

PURPOSE: Pregabalin is a gamma-aminobutyric acid (GABA) analogue approved for the treatment of epilepsy, neuropathic pain and generalised anxiety disorder. As a GABA analogue, there has been some concern about an abuse liability. We aimed to investigate the possible abuse liability of pregabalin. METHODS: By applying a Bayesian data-mining algorithm to reports of possible drug abuse or addiction in the Swedish national register of adverse drug reactions (SWEDIS), we calculated the information component (IC) for pregabalin and reports of abuse and addiction. RESULTS: Out of 198 reports indicative of abuse or addiction to any drug, 16 concerned pregabalin. The IC became significantly elevated in the fourth quarter of 2008, rising to 3.99 (95% confidence interval 3.21-4.59) at the end of 2009. CONCLUSION: Based on the signal from the present study, we conclude that pregabalin is likely to be associated with an abuse potential.

摘要

目的:普瑞巴林是一种γ-氨基丁酸(GABA)类似物,已被批准用于治疗癫痫、神经病理性疼痛和广泛性焦虑障碍。作为 GABA 类似物,人们对其滥用倾向存在一些担忧。我们旨在研究普瑞巴林可能存在的滥用倾向。

方法:通过应用贝叶斯数据挖掘算法对瑞典国家药物不良反应登记处(SWEDIS)中可能的药物滥用或成瘾报告进行分析,我们计算了普瑞巴林和滥用及成瘾报告的信息成分(IC)。

结果:在 198 份表明任何药物滥用或成瘾的报告中,有 16 份涉及普瑞巴林。2008 年第四季度,该指数显著升高,到 2009 年底上升至 3.99(95%置信区间 3.21-4.59)。

结论:基于本研究的信号,我们得出结论,普瑞巴林可能与滥用潜力相关。

相似文献

[1]
A signal for an abuse liability for pregabalin--results from the Swedish spontaneous adverse drug reaction reporting system.

Eur J Clin Pharmacol. 2010-6-19

[2]
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[3]
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[5]
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[6]
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[7]
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[8]
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[10]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Data mining in pharmacovigilance--detecting the unexpected: the role of index of suspicion of the reporter.

Drug Saf. 2009

[2]
Anxiety and substance use disorders: introduction to the special series.

J Anxiety Disord. 2004

[3]
A Bayesian neural network method for adverse drug reaction signal generation.

Eur J Clin Pharmacol. 1998-6

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