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作 者:林志强[1] 张国伟[1] 杨一军[1] 王大璇[1]
机构地区:[1]福建医科大学附属泉州第一医院药剂科,福建泉州362000
出 处:《中国药房》2014年第14期1280-1282,共3页China Pharmacy
基 金:福建省卫生厅青年科研课题(No.2011-2-50)
摘 要:目的:比较市级医院与Mohnarin全国细菌耐药监测结果(Mohnarin监测网)的差异,了解福建省市级医院常见分离菌对抗菌药物的耐药性。方法:收集2011年福建省8所市级医院细菌耐药性监测数据,以WHONET 5.6软件进行数据分析,并与Mohnarin监测网进行对照研究。结果:共获得8所市级医院临床分离菌21 960株,其中革兰阳性菌8 081株,占36.8%;革兰阴性菌13 879株,占63.2%。金黄色葡萄球菌中甲氧西林耐药株的检出率为36.3%,低于Mohnarin监测网50.5%的比例,未发现万古霉素、替考拉宁和利奈唑胺耐药株。大肠埃希菌和肺炎克雷伯菌中产超广谱β-内酰胺酶株的检出率分别为53.9%、34.7%,分别低于Mohnarin监测网71.2%、50.3%的比例。肠杆菌科细菌对碳青霉烯类仍高度敏感。不动杆菌对抗菌药物的耐药率明显高于铜绿假单胞菌,对亚胺培南及美罗培南的耐药率分别为55.9%、56.5%。结论:市级医院的细菌耐药性水平与Mohnarin监测网存在一定差异,因此建立本地区的细菌耐药监测网,可以及时了解本地的细菌耐药性特点及发展趋势。OBJECTIVE: To compare the monitoring of bacterial resistance between municipal hospitals and Mohnarin report, and to investigate the susceptibility of clinical bacterial isolates from municipal hospitals in Fujian province. METHODS: All the bacterial susceptibility results were collected from 8 municipal hospitals in Fujian province in 2011 and data was processed using WHONET 5.6 software. A comparative analysis was conducted with Mohnarin 2011. RESULTS: A total of 21 960 bacterial isolates were collected, including 8 081 (36.8%) strains of gram-positive bacteria and 13 879 (63.2%) strains of gram-negative bacteria. The average prevalence of methicillin-resistant strains in S. aureus (MRSA) was 36.3%, which was lower than 50.5% of Mohnarin monitoring network, and no Staphylococcal strain was found resistant to vancomycin, teicoplanin or linezolid. The preva- lence of ESBLs producing strains was 53.9% in E. coli and 34.7% in K. pneumoniae, which were lower than 71.2% and 50.3% of Mohnarin monitoring network. Enterobacteriaceae strains were still highly susceptible to carbapenems. Drug resistance of Acineto- bacter was significantly higher than that of P. aeruginosa. About 55.9% and 56.5 % of Acinetobacter strains were resistant to imipen- em and meropenem, respectively. CONCLUSIONS: There are some differences in bacterial resistance between municipal hospitals and Mohnarin report, therefore we can keep abreast of local bacterial resistance characteristics and trends if monitoring network of bacterial resistance in the region can be established.
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