开发一种用于识别和分类药物不良反应的综合系统：基于药物不良反应因果关系和严重程度的警报 (ABACUS)。
Development of a combined system for identification and classification of adverse drug reactions: Alerts Based on ADR Causality and Severity (ABACUS).
机构信息
Department of Pharmacy, National University of Singapore, Singapore, Republic of Singapore.
出版信息
J Am Med Inform Assoc. 2010 Nov-Dec;17(6):720-2. doi: 10.1136/jamia.2010.006882.
Abstract
Currently, adverse drug reaction (ADR) causality and severity are assessed using different systems but there is no standard method to combine the results. In this work, a combined ADR causality and severity assessment system, including an online version, was developed. Logical rules were defined to translate the score obtained from the system into three alert zones: green, amber, and red. The alert zones are useful for triaging ADR cases as they help define the seriousness of the ADR and the urgency of the responses required. This new scoring system may be useful for clinicians, investigators, and regulators seeking information on the likelihood of a drug causing an adverse reaction, and whether an adverse reaction is sufficiently dangerous for the drug to be withheld or undergo further investigation.
摘要
目前，药物不良反应（ADR）的因果关系和严重程度是使用不同的系统进行评估的，但尚无标准方法将结果结合起来。在这项工作中，开发了一种包括在线版本的联合 ADR 因果关系和严重程度评估系统。定义了逻辑规则，将系统获得的分数转换为三个警报区域：绿色、琥珀色和红色。这些警报区域对于 ADR 病例的分类很有用，因为它们有助于确定 ADR 的严重程度以及所需反应的紧急程度。这个新的评分系统可能对寻求有关药物引起不良反应的可能性以及不良反应是否对药物有足够危险以停止使用或进一步调查的信息的临床医生、研究人员和监管机构有用。
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