病原菌耐药监测分析指标评价体系构建的探索  

Exploration on the construction of analysis indicators system for antibiotic resistancemonitoring

作　　者：陈霞[1] 李娟[1] 霍瑞 张云飞 王海涛[1] 车洁[1] 卢金星[1] Chen Xia;Li Juan;Huo Rui;Zhang Yunfei;Wang Haitao;Che Jie;Lu Jinxing(State Key Laboratory for Infectious Disease Prevention and Control,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,National Institute for Communicable Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102206,China;Hangzhou Xinglin Information Technology Co.,LTD,Hangzhou 310052,China)

机构地区：[1]中国疾病预防控制中心传染病预防控制所,传染病预防控制国家重点实验室,感染性疾病诊治协同创新中心,北京102206 [2]杭州杏林信息科技有限公司,310052

出　　处：《中华流行病学杂志》2021年第4期700-705,共6页Chinese Journal of Epidemiology

基　　金：国家科技重大专项(2018ZX10733-402)。

摘　　要：当前我国病原菌耐药性问题严重,我国在多领域已分别建立的耐药监测网络,由于监测技术方法不统一,信息碎片化,无法显示我国病原菌耐药的整体流行趋势和传播规律。因此需构建全国多领域的病原菌耐药监测网络平台,揭示我国病原菌耐药发生、发展和传播规律。监测平台中需要使用相匹配的分析指标评价体系。本研究拟探索出一套科学合理的耐药监测分析指标,适用于包括人群、畜牧养殖、环境和食品相关环节等在内的耐药性数据监测与分析。经对我国5个耐药监测网络的调查分析,结合文献及专家调研,初步构建了包含15个病原菌耐药监测分析指标的评价体系,为我国的病原菌耐药监测网络数据收集、整理、评价及预测、预警体系的构建提供基础。Antibiotic resistance(AR)is a severe and fast-growing public health challenge with rapid globalization,especially in China.Although some monitoring systems were established in different fields,fragmentation of information failed to show the overall trend and spread of AR.It is necessary to establish a national monitoring system to reveal the occurrence,development,and spread of AR.The new AR monitoring system needs an updated analysis indicators system.We intend to recommend a new analysis indicators system for AR was constructed and applied to AR data monitoring and analysis for humans,animals,the environment,and foods.After investigating and analyzing the 5 Chinese major AR monitoring systems and literature,we have formulated 15 AR monitoring analysis indicators and initially established an evaluation system for the country's new AR monitoring system.

关 键 词：耐药 监测 分析指标 

分 类 号：R446.5[医药卫生—诊断学]