药物不良反应工具在因果关系评估中的应用

Madaiah Kumaraswamy, Akshay Mohan, Thanveer Ahammed Chonari, Muhammed Dahim
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摘要

摘要:药物不良反应(adr)工具在adr的检测、评估和严重程度方面具有重要意义。本综述强调了最常用的因果关系评估量表,例如,世卫组织-乌普萨拉监测中心因果关系评估系统、用于不良反应评估的纳兰霍算法、利物浦因果关系评估工具(LCAT)和鲁塞尔-乌克拉夫因果关系评估方法(RUCAM)。贝叶斯不良反应诊断仪。在本综述中,我们发现最常用的首选工具是Naranjo算法,最常用的组合是世卫组织-乌普萨拉监测中心因果关系评估系统和Naranjo算法。大量的因果关系评价策略各有利弊。在任何情况下,由于变化和不一致,没有单一的因果关系评估方法被全球接受和使用。然而,没有一个单一的比额表被认为是标准化的,也没有考虑到广泛的可接受性。关键词:药物不良反应,因果关系评估工具,Naranjo算法,WHO-Uppsala监测中心因果关系评估系统
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Adverse Drug Reaction Tools Used in Causality Assessment
Abstract: Adverse Drug Reactions (ADRs) tools are very significant in the detection, assessment, and severity of ADRs. This review emphasizes the most frequently utilized causality assessment scales, for example, the WHO-Uppsala Monitoring Centre Causality Assessment System, the Naranjo algorithm for the ADR assessment, the Liverpool Causality Assessment Tool (LCAT), and the Roussel Uclaf Causality Assessment Method (RUCAM). Bayesian Adverse Reactions Diagnostic Instrument (BARDI). In this review we found that the most commonly preferred tool is Naranjo Algorithm and the most commonly used combination is the WHO-Uppsala Monitoring Centre causality assessment system and the Naranjo algorithm. Large numbers of causality appraisal strategies have their benefits and burdens. In any case, Due to variation and inconsistency, no single causality assessment measure has been accepted and utilised globally. No single scale, however, has been accepted as standardised and taken into consideration for widespread acceptability. Keywords: Adverse Drug Reaction, Causality assessment tools, Naranjo algorithm, WHO-Uppsala Monitoring Centre causality assessment system.
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