CAJ | 학술논문

目的：了解大足区人民医院血培养阳性标本中分离的病原菌分布情况及耐药性分析，指导临床对血流感染的诊断。方法对大足区人民医院1285例血培养标本所进行的细菌培养及药敏结果检测进行回顾性分析。结果共检出阳性血培养标本55例，菌株57株，其中革兰阳性菌12株、革兰阴性菌45株，分布占总数的21．0％和79．0％。革兰阳性菌以金黄色葡萄球菌、肺炎链球菌为主，对万古霉素、左氧氟沙星、莫西沙星、环丙沙星、奎奴普丁／达福普汀较敏感。革兰阴性菌以大肠埃希菌、肺炎克雷伯菌为主，对亚胺培南、美罗培南、环丙沙星、头孢他啶、头孢吡肟、阿米卡星较敏感。结论血培养分离的病原菌以革兰阴性菌为主，特别是对大肠埃希菌，抗生素耐药率普遍偏高，临床应加强对无菌体液标本的送检，特别是血液标本的送检，加强对血流感染的诊断，尽早获得病原菌诊断和抗生素敏感资料，提高治愈率。
목적：료해대족구인민의원혈배양양성표본중분리적병원균분포정황급내약성분석，지도림상대혈류감염적진단。방법대대족구인민의원1285례혈배양표본소진행적세균배양급약민결과검측진행회고성분석。결과공검출양성혈배양표본55례，균주57주，기중혁란양성균12주、혁란음성균45주，분포점총수적21．0％화79．0％。혁란양성균이금황색포도구균、폐염련구균위주，대만고매소、좌양불사성、막서사성、배병사성、규노보정／체복보정교민감。혁란음성균이대장애희균、폐염극뢰백균위주，대아알배남、미라배남、배병사성、두포타정、두포필우、아미잡성교민감。결론혈배양분리적병원균이혁란음성균위주，특별시대대장애희균，항생소내약솔보편편고，림상응가강대무균체액표본적송검，특별시혈액표본적송검，가강대혈류감염적진단，진조획득병원균진단화항생소민감자료，제고치유솔。
Objective To understand the distribution situation and the drug resistance of pathogenic bacteria isolated from blood culture positive specimens in our hospital to guide the clinical diagnosis of blood stream infection . Methods The results in 1 285 cases of blood culture for bacteria and drug susceptibility detection were analyzed ret‐rospectively .Results 55 cases of positive blood culture specimen and 57 strains of bacteria were detected ,including 12 strains of Gram‐positive bacteria and 45 strains of Gram‐negative bacteria ,accounting for 21 .0% and 79 .0% of the total .Gram‐positive bacteria were dominated by staphylococcus aureus and streptococcus pneumoniae ,and were sensitive to vancomycin ,levofloxacin ,moxifloxacin ,ciprofloxacin and quinupristin/dalfopristin .Gram‐negative bacte‐ria mainly were E .coli ,Klebsiella pneumoniae and sensitive to imipenem ,meropenem ,ciprofloxacin ,ceflazidime , cefepime and amikacin .Conclusion Blood culture isolated pathogenic bacteria are mainly Gram‐negative bacteria ,es‐pecially for E .coli ,the resistance rates to common antibiotics are generally higher ,clinic should strengthen the detec‐tion of sterile body fluid specimens ,especially blood specimen detection ,should strengthen the diagnosis of blood stream infection ,obtain the pathogen diagnosis and antibiotic sensitive data as soon as possible and improve the cure rate .