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罕见病和超罕见病药物的药物警戒

Pharmacovigilance of medicines for rare and ultrarare diseases.

作者信息

Sardella Marco, Belcher Glyn

机构信息

Chief Pharmacovigilance Officer and European Qualified Person for Pharmacovigilance, ADIENNE S.r.l.S.U., Via Gagileo Galilei 19, 20867 Caponago (MB), Italy.

PV Consultancy Ltd, London, UK.

出版信息

Ther Adv Drug Saf. 2018 Aug 14;9(11):631-638. doi: 10.1177/2042098618792502. eCollection 2018 Nov.

Abstract

The assessment of the safety of medicines for rare diseases during the development phase is often limited by the few data available from small numbers of patients. This also applies to a lesser extent during the postmarketing phase of the lifecycle of a medicine. By using all available sources of data for rare diseases drugs, and by carefully assessing these data, the most informed safety profile can be obtained. This should also allow a clear view of data that are not available at any given time point and facilitates planning of strategies to obtain data through appropriate postmarketing risk management. Although it is not always easy, there are possibilities to increase the speed by which data in the postmarketing period can be generated by better use of data from ongoing formal clinical trials, by early planning of drug or disease registries and leveraging the power of both disease patient support groups, which are often well established, and networks to facilitate international research, specifically in rare diseases. The future may offer approaches using personal medical monitoring data tools and 'big data' to further facilitate the availability of information and to determine the effectiveness and safety profiles of drugs used for rare diseases and thus allow the benefit/risk of these drugs to be optimized. These issues will be discussed here.

摘要

罕见病药物在研发阶段的安全性评估往往受到来自少数患者的少量数据的限制。这在药物生命周期的上市后阶段也有一定程度的体现。通过利用罕见病药物所有可用的数据来源,并仔细评估这些数据,可以获得最全面的安全性概况。这也应该能够清晰地了解在任何给定时间点无法获得的数据,并有助于规划通过适当的上市后风险管理来获取数据的策略。虽然并不总是容易做到,但有可能通过更好地利用正在进行的正式临床试验的数据、提前规划药物或疾病登记以及利用疾病患者支持团体(这些团体通常已成熟)和网络的力量来促进国际研究(特别是在罕见病领域),从而提高上市后阶段数据生成的速度。未来可能会提供使用个人医疗监测数据工具和“大数据”的方法,以进一步促进信息的获取,并确定用于罕见病的药物的有效性和安全性概况,从而优化这些药物的效益/风险。这里将讨论这些问题。

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