某骨科医院2016-2017年临床分离病原菌流行病学与耐药特征分析

Epidemiological characteristics and drug resistance of clinical pathogens isolated from an orthopedic hospital from 2016 to 2017

  • 摘要: 目的 了解医院近两年临床分离菌株的分布及其耐药性,为临床合理使用抗菌药物提供理论依据。方法 收集2016年1月-2017年12月医院自临床标本中分离的细菌,使用传统方法和API鉴定菌株;采用纸片扩散法进行细菌药物敏感性试验,药敏结果按2017年版 CLSI M 100 S27标准判读。结果 共分离细菌2909株;来源主要为:伤口分泌物、呼吸道标本、尿液、血液,分别占49.57%、32.31%、10.48%和1.72%。细菌种类包括革兰阴性菌 2 168株(74.53%),革兰阳性菌株741株(25.47%)。主要菌种为:肺炎克雷伯菌(13.78%)、大肠埃希菌(12.48%)、金黄色葡萄球菌(9.63%)、凝固酶阴性葡萄球菌(9.52%)、铜绿假单胞菌(8.87%)、阴沟肠杆菌(8.70%)和鲍氏不动杆菌(6.46%)。药敏试验结果显示,肠杆菌科细菌对头孢哌酮/舒巴坦和哌拉西林/他唑巴坦的耐药率较低,分别为2.05%和4.81%,对碳青霉烯类药物的耐药率在0.8%~2.2%之间。铜绿假单胞菌对亚胺培南和美罗培南的耐药率分别为9.71%和12.51%,鲍氏不动杆菌则分别为21.44%和20.32%。金黄色葡萄球菌和凝固酶阴性葡萄球菌对青霉素的耐药率分别为92.62%和92.16%。结论 专科医院细菌耐药监测数据与全国细菌耐药监测网的统计数据有一定的差异,完全依赖后者进行经验性抗感染治疗可能存在较大问题。专科医院应根据医院的细菌种类分布及耐药情况来指导临床合理用药。

     

    Abstract: OBJECTIVE To understand the distribution and drug resistance of clinical strains isolated from the hospital in recent two years so as to provide theoretical basis for reasonable clinical use of antibiotics. METHODS The bacteria that were isolated from the clinical specimens of the hospital from Jan 2016 to Dec 2017 were identified by using conventional method and API. The drug susceptibility testing was performed with the use of disk diffusion method, and the result of the drug susceptibility testing was interpreted by CLSI M 100 S27 of 2017 edition. RESULTS Of totally 2909 strains of bacteria isolated, 49.57% were isolated from wound secretions, 32.31% were isolated from respiratory tract specimens, 10.48% were isolated from urine specimens, and 1.72% were isolated from blood specimens. There were 2168 (74.53%) strains of gram-negative bacteria and 741 (25.47%) strains of gram-positive bacteria. Klebsiella pneumoniae accounted for 13.78%, Escherichia coli 12.48%, Staphylococcus aureus 9.63%, coagulase-negative Staphylococcus 9.52%, Pseudomonas aeruginosa 8.87%, Enterobacter cloacae 8.70%, Acinetobacter baumannii 6.46%. The result of the drug susceptibility testing indicated that the drug resistance rates of the Enterobacteriaceae strains to cefoperazone-sulbacterm and piperacillin-tazobactam were respectively 2.05% and 4.81%, the drug resistance rates to carbapenems ranged between 0.8% and 2.2%; the drug resistance rates of the P.aeruginosa strains to imipenem and meropenem were 9.71% and 12.51%, respectively, and the drug resistance rates of the A.baumannii strains were 21.44% and 20.32%, respectively; the drug resistance rates of the S.aureus and coagulase-negative Staphylococcus to penicillin were 92.63% and 92.16%, respectively. CONCLUSION There is certain difference between the surveillance data of bacterial resistance in special hospitals and the statistical data of national antimicrobial resistance surveillance network. Empirical anti-infection treatment should not completely rely on the data of the national surveillance network. It is necessary for the special hospital to reasonably use antibiotics based on the distribution and drug resistance of the strains isolated from the hospital.

     

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