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作 者:姜顺军[1] 苏丹虹[1] 黄君瑶[1] 刘付倩婷 肖翔林[1]
机构地区:[1]广州医科大学附属第一医院,广州510120 [2]广东医学院,2011级广东东莞523808
出 处:《抗感染药学》2015年第3期364-367,共4页Anti-infection Pharmacy
基 金:广州市卫生局基金项目(编号:20141A010068)
摘 要:目的:分析2011年—2013年间医院抗菌药物使用强度与铜绿假单胞菌耐药率之间的关系,为临床合理使用抗菌药物提供参考依据。方法:计算9种抗菌药物平均每日每百张床所消耗的DDDs及同期铜绿假单胞菌的耐药率,并对抗菌药物用量与耐药率进行相关性分析。结果:左氧氟沙星的使用强度与铜绿假单胞菌对头孢他啶、头孢曲松的耐药率呈正相关(r=0.999,P<0.05;r=0.997,P<0.05);其与头孢吡肟的耐药率呈负相关(r=-0.999,P<0.05);而头孢他啶的使用强度与铜绿假单胞菌对头孢吡肟的耐药率呈正相关(r=1.000,P<0.05);哌拉西林-他唑巴坦的使用强度与铜绿假单胞菌对环丙沙星的耐药率呈负相关(r=-0.998,P<0.05);而亚胺培南的使用强度则与铜绿假单胞菌对环丙沙星耐药率呈正相关(r=0.997,P<0.05);其他数据的比较其差异无统计学意义意义(P>0.05)。结论:医院抗菌药物使用强度与铜绿假单胞菌的耐药变化之间存在相关关系,这种发现有助于针对抗菌药物高消耗量以及细菌耐药率高病区,优化抗菌药物使用策略。Objective: To evaluate the correlation between antibiotic using density and the antimicrobial resistance rates ofPseudomonas aeruginosa during 2011 to 2013 in a hospital, and to provide reference for reasonable use ofantimi- crobial agents in clinic. Methods: The total antibacterial consumption expressed as defined daily doses (DDD)/day/100 bed of 9 antibacterials,as well as resistance rates ofPseudomonas aeruginosa were collected,and their correlation was ana- lyzed by using the method of linear regression. Results: The using density of levofloxacin to ceftazidinae and ceftriaxone resistance of Pseudomonas aeruginosa was positively correlated(r=0.999, P〈0.05; r=0.997, P〈0.05), and negatively correlated with cefepime resistance rate (r=-0.999, P〈0.05). There was a statistical significance; and the using density of ceftazidime and Pseudomonas aeruginosa bacteria resistant to cefepime was positively correlated(r= 1.000, P〈0.05). There was statistical significance. Piperacillin-tazobactam using density and Pseudomonas aeruginosa on ciprofloxacin resistance rate was negatively correlated with statistical significance (r=0.998,P〈0.05); and the using density ofimipenem and Pseudomonas aeruginosa to ciprofloxacin resistance rate was positively correlated with statistical significance (r=0.997, P〈0.05). Other data had no statistical significance(P〉0.05). Conclusion: Relationship existed between the antibiotics using density and Pseudomonas aeruginosa resistance change; the findings contributed to keep down antibacte- rial drugs for high consumption and high rate of bacterial resistance in the hospital ward, and helped to optimize the use of strategy of antibacterial drugs.
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