Analysis of antimicrobial drug resistance of Staphylococcus aureus strains by WHONET 5: microbiology laboratory database software.
Analysis of antimicrobial drug resistance of Staphylococcus aureus strains by WHONET 5: microbiology laboratory database software.
复制标题
利用WHONET 5：微生物学实验室数据库软件分析金黄色葡萄球菌菌株的抗菌药物耐药性。
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Yasuhiro Yamamoto
中科院分区：
文献类型：
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作者：
T. Mochizuki;N. Okamoto;Teruko Yagishita;K. Takuhiro;K. Mashiko;Futoshi Ogawa;N. Tosaka;A. Kurokawa;Yasuhiro Yamamoto
目标
采用WHONET 5-Microbiology laboratory database软件对我院实验室微生物数据进行分析，了解各病区金黄色葡萄球菌的耐药性。
材料和方法
从2001年9月至2002年12月将本院各病区的金黄色葡萄球菌菌株数据库带入我院微生物实验室。在每例患者1株分离株的条件下进行分析。启动WHONET 5中的“耐药谱”分析，分析每个病房的微生物实验室检测报告。我们选择苯唑西林、左氧氟沙星、红霉素和庆大霉素作为需要进行耐药性调查的抗菌药物。为了验证耐药菌株可能沿着沿着住院患者的移动线从一个病房传播到另一个病房的假设，我们评估了具有住院患者移动线的特定病房的耐药比率的每月转变。
结果
对2,113株金黄色葡萄球菌的临床资料进行统计分析。苯唑西林耐药率为65.7%。苯唑西林耐药率最低的病房是儿科/眼科病房。无论是内科还是外科，苯唑西林的耐药率在67.9%~ 96.7%之间。多重耐药MRSA菌株在外科病房占绝对优势。各病区庆大霉素敏感菌株对苯唑西林耐药率高。ICU/CCU病房与后方三个病房之间存在着住院病人流动线。2个后病区苯唑西林耐药变化与ICU/CCU的耐药变化相一致，1个后病区苯唑西林耐药变化与ICU/CCU的耐药变化不一致。
结论
病区间抗性程度变异较大，且明显。我们可以沿着沿着病人的移动路线，调查耐药微生物可能在病人之间传播的病房。WHONET 5将被确认为每个感染控制团队调查可疑病房的分析和监测工具。
OBJECTIVES
To analyze our hospital laboratory microbiological data by using WHONET 5-Microbiology laboratory database software-, and to acquire information about antimicrobial resistance of Staphylococcus aureus strains among every ward.
MATERIALS AND METHODS
The database of Staphylococcus aureus strains had been brought to our hospital microbiology laboratory from every ward in our hospital from September 2001 till December 2002. Analysis was performed under the condition as one isolate per one patient. Starting of "resistance profile" analysis in WHONET 5 and analyzing the microbiological laboratory testing reports for every ward. We chose Oxacillin, Levofloxacin, Erythromycin and Gentamicin as the antimicrobials that need to be investigated for resistance. We evaluated the monthly transition of resistance ratios with regard to the specific wards that have the moving lines of inpatients in order to verify the hypothesis that resistant strains may be carried from ward to ward along the moving lines of inpatients.
RESULTS
The data of 2,113 Staphylococcus aureus strains were accumulated and analyzed. Overall Oxacillin resistance ratio in our hospital was 65.7%. The ward of the smallest Oxacillin resistance ratio was Pediatrics/Ophthalmology ward. The ratios of Oxacillin resistant were varied as from 67.9% to 96.7% regardless the categories of wards such as internal medicine or surgery. Multi-resistant MRSA strains were overwhelmingly dominant in the wards of surgery. The ratios of the Gentamicin sensitive strains that were resistant to Oxacillin were high over the every ward. The moving lines of inpatients existed between ICU/CCU ward and three rear wards. Two rear wards whose Oxacillin resistance changes were reflected to those of ICU/CCU, but one rear ward was not.
CONCLUSION
Variation of resistant degree among wards were very obvious and large. We could survey the wards where patient-to-patient transmission of resistant organisms might occur along the moving lines of inpatients. WHONET 5 will be recognized as an analysis and surveillance tool for every infection control team to survey the suspicious wards.