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药物警戒

1970
药物警戒办公室有专业人员分析药物安全数据和报告。

(图片仅供参考)

药物警戒是一门药理学科学,主要研究药物不良反应(尤其是药物的长期和短期副作用)的检测、评估、理解和预防。它是一个持续的过程,始于临床试验,并贯穿整个生命周期。 生命周期 药物上市后监测,重点在于识别罕见或以前未知的不良药物反应(ADR)。

The necessity for a systematic approach to drug safety monitoring became tragically apparent following the thalidomide disaster in the early 1960s, where a seemingly safe sedative caused severe birth defects. This event catalyzed the development of modern pharmacovigilance systems. The core activity of pharmacovigilance is the collection and analysis of spontaneous reports of suspected adverse drug reactions (ADRs). Healthcare professionals and patients submit these reports to national regulatory authorities or the drug’s manufacturer. These individual case safety reports (ICSRs) are entered into large databases. Sophisticated data mining algorithms are then used to perform signal detection—the process of identifying potential new drug-safety issues from the vast amount of data. A ‘signal’ is reported information on a possible causal relationship between an adverse event and a drug, which is unknown or incompletely documented previously. Once a signal is detected, it undergoes rigorous assessment to determine if a causal link is likely. This may involve epidemiological studies, such as cohort or case-control studies, to quantify the risk. If a new risk is confirmed, regulatory action is taken. This can range from updating the product’s labeling to include the new side effect, issuing warnings to doctors, restricting the drug’s use, or, in rare cases, withdrawing the drug from the market. Pharmacovigilance is therefore a critical, dynamic component of public health, ensuring that the benefit-risk balance of a medicine is continuously monitored and remains favorable throughout its use in the population.

UNESCO Nomenclature: 3209
- 药理学

类型

抽象系统

中断

基础

用法

广泛使用

前体

  • 沙利度胺灾难(1957-1961)
  • 建立国家药品监管机构
  • 流行病学和生物统计学的进展
  • 1968年世界卫生组织国际药物监测计划的建立

应用程序

  • 对所有已批准药品进行上市后安全监测
  • 不良事件报告系统(例如,FDA 的 FAERS、EMA 的 EUDRAVIGILANCE)的管理
  • 新药风险管理计划(rmps)
  • 使用新的安全数据更新药品标签和患者信息
  • 向医疗保健专业人员发布药品安全信息和警告

专利:

NA

潜在创新理念

  • 使用人工智能和自然语言处理来分析来自电子健康记录和社交媒体的非结构化数据以获取安全信号
  • 开发主动查询大型医疗保健数据库的主动监控系统
  • 整合基因组数据(药物基因组学)来预测罹患不良反应风险较高的个体
  • 移动应用程序可让患者和医生更轻松地报告不良事件
  • 自动化 signal detection algorithms using machine learning
  • 创建全球互联的安全数据库,实现更快的信号共享
  • predictive modeling of adrs based on a drug’s chemical structure
  • use of 可穿戴 sensors to monitor for physiological signs of adverse events in real-time
  • 区块链用于安全且可审计地跟踪不良事件报告
  • 为患者提供个性化的风险收益沟通工具
相关术语:药物警戒、药物安全、药物不良反应、ADR、上市后监测、信号检测、风险管理、FDA、EMA、沙利度胺。

历史背景

药物警戒

1960
1965
1970
1980
1980
1990
1960
1960
1969
1976-05-28
1980
1990

(如果日期未知或不相关,例如“流体力学”,则提供其显著出现的近似估计)

第十年 周年纪念日

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