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目的:了解国内抗感染药物不良反应(adverse drug reactions,ADR)的发生情况。方法:通过国家人口与健康科学数据共享平台的2 355例ADR报告,基于不良事件本体(ontology of adverse events,OAE),利用文本处理语言perl编程进行数据处理,分析ADR报告中患者的性别年龄分布、给药途径、药物种类与构成比、发生最多的不良反应、严重不良反应信息。结果:在所有病例报告中,男女例数相当,30~40岁的例数最多,占18.76%,中药引起10岁以下患儿ADR例数最多,占23.81%,引起ADR最多的给药途径是静脉滴注,药物类别是喹诺酮类,最常见的ADR症状是胸闷。结论:基于本体的方法可以有效地分析不良反应。另外,应对抗感染药物ADR引起足够重视,加强抗感染药物ADR监测,促进抗感染药物合理应用。
Objective: To understand the incidence of adverse drug reactions (ADR) in China. Methods: A total of 2 355 ADR reports from the National Population and Health Science Data Sharing Platform were processed on the basis of ontology of adverse events (OAE) using the text-processing language perl programming to analyze the gender age distribution of patients in the ADR report , Route of administration, type and composition of drugs, the most adverse reactions occurred, serious adverse reaction information. Results: In all cases, the number of males and females was the highest, the number of males and females was the highest among them, accounting for 18.76% of all cases. The number of ADR cases in children under 10 years old was the most, accounting for 23.81% Intravenous infusion, the drug class is quinolones, the most common symptom of ADR is chest tightness. Conclusion: Ontology-based methods can effectively analyze adverse reactions. In addition, ADR should pay enough attention to anti-infectives, strengthen ADR monitoring of anti-infectives, and promote the rational use of anti-infectives.