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湖南省细菌耐药监测网2012—2021年细菌耐药性监测报告
引用本文:郑铭,陈丽华,付陈超,李晨,李艳明,刘君,宁兴旺,石国民,邬靖敏,杨怀德,袁红霞,任南,吴安华,黄勋.湖南省细菌耐药监测网2012—2021年细菌耐药性监测报告[J].中国感染控制杂志,2023(12):1425-1437.
作者姓名:郑铭  陈丽华  付陈超  李晨  李艳明  刘君  宁兴旺  石国民  邬靖敏  杨怀德  袁红霞  任南  吴安华  黄勋
作者单位:1.中南大学湘雅医院医院感染控制中心, 湖南 长沙 410008;2.湖南省细菌耐药监测网办公室, 湖南 长沙 410008;3.国家老年疾病临床医学研究中心(湘雅医院), 湖南 长沙 410008;4.中南大学湘雅三医院检验科, 湖南 长沙 410013;5.浏阳市中医医院检验科, 湖南 浏阳 410300;6.中南大学湘雅医院检验科, 湖南 长沙 410008;7.湘潭市中心医院检验科, 湖南 湘潭 411100;8.湖南中医药大学第一附属医院医学检验与病理中心, 湖南 长沙 410007;9.长沙市中心医院检验科, 湖南 长沙 410004;10.长沙市第一医院检验科, 湖南 长沙 410005;11.张家界市人民医院检验科, 湖南 张家界 427000;12.郴州市第一人民医院检验医学中心, 湖南 郴州 423000;13.湖南省医院感染管理质量控制中心, 湖南 长沙 410008
基金项目:湖南省自然科学基金项目(NO01JJY2119);"感·动中国"医疗机构感染预防与控制科研项目(GY2023013-A)
摘    要:目的 了解2012—2021年湖南省临床标本常见病原菌分布及其耐药性变迁情况,为临床合理使用抗菌药物及制定和评价抗菌药物临床应用管理政策提供科学依据。方法 细菌鉴定方法、质控菌株选择及测试抗菌药物种类参照全国细菌耐药监测网(CARSS)技术方案执行,依据每例患者统计第一株菌的原则,剔除重复菌株。应用WHONET 5.6软件进行统计分析,线性趋势检验分析菌株构成比及耐药率的变迁情况,Pearson相关系数描述变化率的大小。结果 2012—2021年,纳入分析的临床分离细菌由82 759株增加至312 914株,以革兰阴性菌为主,占比69.5%~72.4%。革兰阳性菌以金黄色葡萄球菌、表皮葡萄球菌、肺炎链球菌、粪肠球菌和屎肠球菌为主,革兰阴性菌以大肠埃希菌、肺炎克雷伯菌、铜绿假单胞菌、鲍曼不动杆菌和阴沟肠杆菌为主。革兰阳性菌分离率逐年上升(r=0.022,P=0.001)。耐甲氧西林金黄色葡萄球菌(MRSA)的临床分离率由34.3%下降至24.8%。耐万古霉素屎肠球菌和粪肠球菌的分离率分别低于3%、2%,且呈下降趋势。耐青霉素肺炎链球菌(PRSP)检出率由最高5.6%下降至1.0%。大肠埃...

关 键 词:细菌  抗菌药物  耐药性  监测  合理用药  湖南省细菌耐药监测网
收稿时间:2023/10/10 0:00:00

Antimicrobial resistance of bacteria: surveillance report from Hunan Provincial Antimicrobial Resistance Surveillance System, 2012-2021
Ming ZHENG,Li-hua CHEN,Chen-chao FU,Chen LI,Yan-ming LI,Jun LIU,Xing-wang NING,Guo-min SHI,Jing-min WU,Huai-de YANG,Hong-xia YUAN,Nan REN,An-hua WU,Xun HUANG.Antimicrobial resistance of bacteria: surveillance report from Hunan Provincial Antimicrobial Resistance Surveillance System, 2012-2021[J].Chinese Journal of Infection Control,2023(12):1425-1437.
Authors:Ming ZHENG  Li-hua CHEN  Chen-chao FU  Chen LI  Yan-ming LI  Jun LIU  Xing-wang NING  Guo-min SHI  Jing-min WU  Huai-de YANG  Hong-xia YUAN  Nan REN  An-hua WU  Xun HUANG
Institution:1.Center for Healthcare-associated Infection Control, Xiangya Hospital, Central South University, Changsha 410008, China;2.Hunan Provincial Antimicrobial Resistance Surveillance System Office, Changsha 410008, China;3.National Clinical Research Center for Geriatric Disorders[Xiangya Hospital], Changsha 410008, China;4.Department of Laboratory Medicine, The Third Xiangya Hospital of Central South University, Changsha 410013, China;5.Department of Laboratory Medicine, Liuyang Traditional Chinese Medicine Hospital, Liuyang 410300, China;6.Department of Laboratory Medicine, Xiangya Hospital, Central South University, Changsha 410008, China;7.Department of Laboratory Medicine, Xiangtan Central Hospital, Xiangtan 411100, China;8.Medical Laboratory and Pathology Center, The First Hospital of Hunan University of Chinese Medicine, Changsha 410007, China;9.Department of Laboratory Medicine, Chang-sha Central Hospital, Changsha 410004, China;10.Department of Laboratory Medicine, The First Hospital of Changsha, Changsha 410005, China;11.Department of Laboratory Medicine, Zhangjiajie People''s Hospital, Zhangjiajie 427000, China;12.Center of Laboratory Medicine, The First People''s Hospital of Chenzhou, Chenzhou 423000, China;13.Hunan Provincial Healthcare-associated Infection Management Quality Control Center, Changsha 410008, China
Abstract:Objective To understand the distribution of frequently isolated pathogenic bacteria from clinical specimens and their antimicrobial resistance changes in Hunan Province from 2012 to 2021, and to provide scientific evidence for the formulation and evaluation of antimicrobial clinical administration policies. Methods Species identification, selection of quality control strains and antimicrobial susceptibility testing agents were conducted according to the technical scheme of the China Antimicrobial Resistance Surveillance System (CARSS). Duplicate strains were excluded based on the principle of counting the first strain in each case. Statistical analysis was performed by WHONET 5.6 software. The the variations in constituent ratio and resistance rate of strains were analyzed with linear trend test, and the magnitude of change was described with Pearson correlation coefficient. Results From 2012 to 2021, the number of clinically isolated bacteria in the analysis increased from 82 759 to 312 914, with Gram-negative bacteria accounting for 69.5%-72.4%. The major Gram-positive bacteria were Staphylococcus aureus, Staphylococcus epidermidis, Streptococcus pneumoniae, Enterococcus faecalis and Enterococcus faecium, and the major Gram-negative bacteria were Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Acinetobacter baumannii and Enterobacter cloacae. Isolation rate of Gram-positive bacteria increased yearly (r=0.022, P=0.001). Isolation rate of methicillin-resistant Staphylococcus aureus (MRSA) decreased from 34.3% to 24.8%. Isolation rates of vancomycin-resistant Enterococcus faecium and Enterococcus faecalis were less than 3% and 2%, respectively, presenting a downward trend. The detection rate of penicillin-resistant Streptococcus pneumoniae (PRSP) decreased from 5.6% to 1.0%. Except cefoperazone sulbactam, resistance rates of Escherichia coli to other tested antimicrobial agents showed decreasing trends (r < 0, P=0.001). Isolation rates of third-generation cephalosporin-resistant Escherichia coli (CTX/CRO-R-EC) and carbapenem-resistant Escherichia coli (CREC) decreased year by year (from 70.5% to 45.3%, and 12.2% to 2.0%, respectively). Resistance rates of Klebsiella pneumo-niae to imipenem and meropenem have increased year by year, reaching 9.1% and 11.0% respectively in 2021, while isolation rate of carbapenem-resistant Pseudomonas aeruginosa (CRPA) decreased from 28.5% to 15.0%. Resistance rates of Acinetobacter baumannii to most antimicrobial agents were 40%-60%, and remained relatively stable. Isolation rate of carbapenem-resistant Acinetobacter baumannii (CRAB) ranged from 39.5% to 59.6%. Conclusion The clinical isolation rates of most important special antimicrobial-resistant bacteria have been decreasing year by year, while the resistance rate of Klebsiella pneumoniae to carbapenem agents gradually increased. Antimicrobial stewardship as well as the prevention and control of healthcare-associated infection on specific antimicrobial-resistant bacteria should continue to be implemented in the future. The coverage and quality of antimicrobial resistance surveillance in Hunan Province should continue to be improved.
Keywords:bacteria  antimicrobial agent  antimicrobial resistance  surveillance  rational antimicrobial use  Hunan Provincial Antimicrobial Resistance Surveillance System
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