| 摘要: |
| 目的:可视化分析展示儿童药品不良反应(ADR)的特点和规律,为推动儿童临床安全用药提供参考。 方法:收集山东省
国家药品不良反应监测系统中儿童严重 ADR 报告进行统计分析,利用社会网络分析可视化展现 ADR、系统器官分类(SOC)
和联合用药网络中各要素的联系。 结果:儿童严重 ADR 报告共 6 811 份,患儿例数随年龄增长而减少。 抗感染药物是引起儿童
严重 ADR 最主要的药品类别。 高频联合用药药品 54 例,高频 ADR 为 47 例,皮肤及其附件损害和全身性损害共同出现的次数
最多。 结论:应通过掌握患儿信息、熟悉药理特点、把握发生规律,合理选择药品并识别隐匿损害。 加强药学监护、重视联合用
药以预防和减少严重 ADR,促进儿童安全用药。 |
| 关键词: 药品不良反应 儿童用药 信息可视化技术 社会网络分析 |
| DOI：doi:10.13407/j.cnki.jpp.1672-108X.2025.02.004 |
|
| 基金项目:基金项目:山东省药品不良反应监测哨点课题,编号 2023SDADRKY45。 |
|
| Visualization Analysis of Severe Adverse Drug Reactions in Children of Shandong Based on Real-WorldMonitoring Data |
| Wei Wei1, Quan Qinbo1, Wang Weibo2 |
| (1. Dongying Institute for Food and Drug Control, Shandong Dongying 257000, China;
2. Dongying People’s Hospital, Shandong Dongying 257091, China) |
| Abstract: |
| Objective: To visually analyze the characteristics and regularities of adverse drug reactions (ADR) in children, so as to
provide reference for promoting the clinical safety of drug use in children. Methods: Statistical analysis was performed on severe ADR
reports in children from the National Adverse Drug Reactions Monitoring System of Shandong. Social network analysis was performed to
visualize correlation between the elements in ADR, system organ class (SOC) and drug combination networks. Results: Totally 6,811
severe ADR reports were retrieved. The number of pediatric patients decreased with age overall. Anti-infective drugs were the main
category of drugs that cause severe ADR in children. There were 54 cases of high frequency drug combination, 47 cases of high
frequency ADR, and the common occurrence of skin and its appendages and systemic damage took the lead. Conclusion: Drugs should
be selected rationally and hidden damage should be recognized by having general information about children, familiarizing with
pharmacological characteristics, grasping the pattern of occurrence, strengthening pharmacological supervision and emphasizing drug
combination to prevent and reduce severe ADR and promote the safe medication in children. |
| Key words: adverse drug reactions medication in children information visualization techniques social network analysis |
