[1]尹利娟,杨振华,杨乐园.2017年我院肠杆菌科细菌临床分布及耐药性分析[J].医学信息,2019,32(01):136-138.[doi:10.3969/j.issn.1006-1959.2019.01.042]
　YIN Li-juan,YANG Zhen-hua,YANG Le-yuan.Analysis of Clinical Distribution and Drug Resistance of Enterobacteriaceae in Our Hospital in 2017[J].Journal of Medical Information,2019,32(01):136-138.[doi:10.3969/j.issn.1006-1959.2019.01.042]
点击复制

2017年我院肠杆菌科细菌临床分布及耐药性分析()
分享到：

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
32卷
期数:
2019年01期
页码:
136-138
栏目:
调查分析
出版日期:
2019-01-01

文章信息/Info

Title:
Analysis of Clinical Distribution and Drug Resistance of Enterobacteriaceae in Our Hospital in 2017
文章编号:
1006-1959（2019）01-0136-03
作者:
尹利娟; 杨振华; 杨乐园
上海市宝山区中西医结合医院检验科，上海 201999
Author(s):
YIN Li-juan; YANG Zhen-hua; YANG Le-yuan
Department of Clinical Laboratory,Shanghai Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine,Shanghai 201999,China
关键词:
肠杆菌科细菌; 抗菌药物; 耐药率
Keywords:
Enterobacteriaceae bacteria; Antibacterial drugs; Resistance rate
分类号:
R446.5
DOI:
10.3969/j.issn.1006-1959.2019.01.042
文献标志码:
A
摘要:
目的 分析宝山区中西医结合医院2017年所分离肠杆菌科细菌在临床标本中的分布和对常用抗菌药物的耐药性。方法 菌株来源于2017年1月1日~12月31日临床送检各类标本中分离出的肠杆菌科细菌1054株。剔除同一患者相同部位的重复菌株。用西门子的MicroScan WalkAway96全自动微生物鉴定/药敏测试系统进行细菌鉴定和药物敏感试验，K-B纸片扩散法作为药敏补充实验，依照CLSI制定的最新的判断标准判断药敏试验结果。结果 2017年分离出的肠杆菌科细菌1054株，主要来源于痰液标本和中段尿标本，分别占39.85%和31.03%；分离率最高的是肺炎克雷伯杆菌和大肠埃希菌，分别占39.94%和35.67%；其次是奇异变形杆菌和阴沟肠杆菌，分别占6.83%和5.79%；肺炎克雷伯菌亚胺培南和美罗培南的耐药率较高，分别为38.24%和 39.43%，敏感率均为59.86%；奇异变形杆菌亚胺培南的耐药率高于美罗培南。肺炎克雷伯菌ESBLs检出率为45.84%，大肠埃希菌45.74%，奇异变形杆菌为45.83%。结论 我院2017年分离的肠杆菌科细菌中以肺炎克雷伯菌和大肠埃希菌为主，细菌的耐药问题日趋严重，医院应引起高度重视，加强细菌耐药性的监测，指导临床合理用药。
Abstract:
Objective To analyze the distribution of Enterobacteriaceae isolated from Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine in clinical specimens in 2017 and the resistance to common antibiotics.Methods The strains were derived from 1054 strains of Enterobacteriaceae isolated from clinical specimens from January 1 to December 31, 2017. Exclude duplicate strains from the same site in the same patient.The bacteria identification and drug sensitivity test were carried out by Siemens' MicroScan WalkAway 96 automatic microbial identification/drug sensitivity test system. The K-B disk diffusion method was used as a drug sensitivity supplementation experiment, and the drug sensitivity test results were judged according to the latest judgment standard established by CLSI.Results 1054 strains of Enterobacteriaceae isolated from 2017, mainly from sputum specimens and mid-stage urine specimens, accounting for 39.85% and 31.03%, respectively; the highest isolation rates were Klebsiella pneumoniae and Escherichia coli, accounting for 39.94 % and 35.67%; followed by Proteus mirabilis and Enterobacter cloacae accounting for 6.83% and 5.79%; Klebsiella pneumoniae imipenem and meropenem have higher resistance rates, 38.24% and 39.43%, respectively. The sensitivity rate was 59.86%; the resistance rate of imipenem was higher than that of meropenem. The detection rate of ESBLs of Klebsiella pneumoniae was 45.84%, Escherichia coli 45.74%, and Proteus mirabilis 45.83%.Conclusion The Enterobacteriaceae bacteria isolated in our hospital in 2017 are mainly Klebsiella pneumoniae and Escherichia coli. The drug resistance problem is becoming more and more serious. The hospital should pay great attention to strengthen the monitoring of bacterial resistance and guide clinical practice.Rational use of drugs.

参考文献/References:

[1]徐建民,周丽银.儿童患者中常见肠杆菌科细菌药敏分析[J].国际检验医学杂志,2015,36(14):2068-2072．
[2]黄华泥,黄智明,徐五星,等.老年患者肠杆菌科细菌感染的种类与耐药性分析[J].中华医院感染学杂志,2015,25(17):3866-3868.
[3]钮静,杨乐园,杨振华,等．2016年上海市某院分离细菌的分布及耐药性监测[J]．检验医学与临床,2017,14(23):3453-3460.
[4]郭燕,朱德妹,胡付品,等.2016年上海市细菌耐药性监测[J].中国感染与化疗杂志,2017,17(6):609-622.
[5]Hu FP,Chen SD,Xu X,et al.Emergence of carbapenem-resistant clinical Enterobacteriaceae isolates from a teaching hospital in Shanghai，China[J].J MeD Microbiol,2012,61(Pt1):132-136．
[6]Chen S,Hu F,Xu X,et al.High prevalence of KPC-2-type carbapenemase coupled with CTX-M-type extended-spectrum beta -lactamases in carbapenem-resistant Klebsiella pneumoniae in a teaching hospital in China[J].Antimicrob Agents Chemother,2011,55(5):2493-2494.
[7]Curello J,MacDougall C.Beyond susceptible and resistant，partⅡ：treatment of infections due to gram-negative organisms producing extended-spectrumβ-lactamases[J].J Pediatr Pharmacol Ther,2014,19(3):156-164.
[8]Wang P,Hu F,Xiong Z,et al.Susceptibility of extended-spectrum-β-lactamase-producing Enterobacteriaceae according to the new CLSI breakpoints[J].J Clin Microbiol,2011,49(9):3127-3131.
[9]贾晓燕,张成显.肠杆菌科细菌产碳青霉烯酶研究进展[J].医学信息,2014,27(6):645.

相似文献/References:

[1]尹利娟,杨振华,杨乐园.2014~2016年嗜麦芽窄食单胞菌感染临床分布及耐药性分析[J].医学信息,2018,31(03):128.[doi:10.3969/j.issn.1006-1959.2018.03.044]
　YIN Li-juan,YANG Zhen-hua,YANG Le-yuan.Clinical Distribution and Drug Resistance Analysis of Stenotrophomonas Maltophilia Infection from 2014 to 2016[J].Journal of Medical Information,2018,31(01):128.[doi:10.3969/j.issn.1006-1959.2018.03.044]
[2]孙 赟,朱振国,余春兰,等.基于电子病历系统的抗菌药物分级管理系统开发及应用[J].医学信息,2018,31(07):18.[doi:10.3969/j.issn.1006-1959.2018.07.006]
　SUN Yun,ZHU Zhen-guo,YU Chun-lan,et al.Development and Application of Antibiotic Grading Management System Based on Electronic Medical Record System[J].Journal of Medical Information,2018,31(01):18.[doi:10.3969/j.issn.1006-1959.2018.07.006]
[3]严 威,靳 情.医院内泌尿道感染患者的病原菌耐药性分析[J].医学信息,2018,31(11):118.[doi:10.3969/j.issn.1006-1959.2018.11.037]
　YAN Wei,JIN Qing.Analysis of Pathogenic Bacteria Resistance of Patients with Urinary Tract Infection in Hospital[J].Journal of Medical Information,2018,31(01):118.[doi:10.3969/j.issn.1006-1959.2018.11.037]
[4]曹 蕾.医院信息化管理系统促进抗菌药物合理使用的价值分析[J].医学信息,2018,31(17):31.[doi:10.3969/j.issn.1006-1959.2018.17.010]
　CAO Lei.Value Analysis of Hospital Information Management System Promoting Rational Use of Antimicrobial Agents[J].Journal of Medical Information,2018,31(01):31.[doi:10.3969/j.issn.1006-1959.2018.17.010]
[5]王永艳,鱼兆虎.抗菌药物审批管理软件的设计与实现[J].医学信息,2019,32(12):21.[doi:10.3969/j.issn.1006-1959.2019.12.007]
　WANG Yong-yan,YU Zhao-hu.Design and Implementation of Antibacterial Drug Approval Management Software[J].Journal of Medical Information,2019,32(01):21.[doi:10.3969/j.issn.1006-1959.2019.12.007]
[6]王 蕊,陈金萍.2016~2017年脊柱手术预防用药及术后感染情况分析[J].医学信息,2018,31(24):112.[doi:10.3969/j.issn.1006-1959.2018.24.032]
　WANG Rui,CHEN Jin-ping.Analysis of Orophylactic Medication and Postoperative Infection in Spinal Surgery from 2016 to 2017[J].Journal of Medical Information,2018,31(01):112.[doi:10.3969/j.issn.1006-1959.2018.24.032]
[7]王永宁,王瑞文,薛 郡,等.天津地区某基层医院铜绿假单胞菌的5年耐药变迁[J].医学信息,2019,32(09):124.[doi:10.3969/j.issn.1006-1959.2019.09.041]
　WANG Yong-ning,WANG Rui-wen,XUE Jun,et al.Five-year Resistance Change of Pseudomonas Aeruginosa in a Primary Hospital in Tianjin[J].Journal of Medical Information,2019,32(01):124.[doi:10.3969/j.issn.1006-1959.2019.09.041]
[8]彭洪兴.运用PDCA降低住院患者抗菌药物使用率及使用强度的临床实践[J].医学信息,2019,32(09):149.[doi:10.3969/j.issn.1006-1959.2019.09.049]
　PENG Hong-xing.Clinical Practice of Using PDCA to Reduce the Use Rate and Intensity of Antibiotics in Hospitalized Patients[J].Journal of Medical Information,2019,32(01):149.[doi:10.3969/j.issn.1006-1959.2019.09.049]
[9]樊凌燕,钱 鑫,熊世娟,等.2017年贵州省某综合型医院细菌耐药性监测及动态分析[J].医学信息,2019,32(10):136.[doi:10.3969/j.issn.1006-1959.2019.10.045]
　FAN Ling-yan,QIAN Xin,XIONG Shi-juan,et al.Monitoring and Dynamic Analysis of Bacterial Resistance in a General Hospital in Guizhou Province in 2017[J].Journal of Medical Information,2019,32(01):136.[doi:10.3969/j.issn.1006-1959.2019.10.045]
[10]顾万娟,李 亮,张 振,等.多重耐药菌的临床分布与耐药性分析[J].医学信息,2019,32(15):116.[doi:10.3969/j.issn.1006-1959.2019.15.038]
　GU Wan-juan,LI Liang,ZHANG Zhen,et al.Analysis of Clinical Distribution and Drug Resistance of Multi-drug Resistant Bacteria[J].Journal of Medical Information,2019,32(01):116.[doi:10.3969/j.issn.1006-1959.2019.15.038]

更新日期/Last Update: 2019-01-22