[1]王春梅,闫琳琳,谷依林,等.北京西部地区某医院铜绿假单胞菌的临床分布及耐药性分析[J].医学信息,2021,34(01):145-148.[doi:10.3969/j.issn.1006-1959.2021.01.039]
　WANG Chun-mei,YAN Lin-lin,GU Yi-lin,et al.Clinical Distribution and Drug Resistance Analysis of Pseudomonas Aeruginosa in a Hospital in Western Beijing[J].Medical Information,2021,34(01):145-148.[doi:10.3969/j.issn.1006-1959.2021.01.039]
点击复制

北京西部地区某医院铜绿假单胞菌的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:
34卷
期数:
2021年01期
页码:
145-148
栏目:
调查分析
出版日期:
2021-01-01

文章信息/Info

Title:
Clinical Distribution and Drug Resistance Analysis of Pseudomonas Aeruginosa in a Hospital in Western Beijing
文章编号:
1006-1959（2021）01-0145-04
作者:
王春梅; 闫琳琳; 谷依林; 等
（北京大学首钢医院检验科，北京 100144）
Author(s):
WANG Chun-mei; YAN Lin-lin; GU Yi-lin; et al.
(Department of Laboratory Medicine,Shougang Hospital,Peking University,Beijing 100144,China)
关键词:
铜绿假单胞菌; 抗菌药物; 耐药性; 多重耐药
Keywords:
Pseudomonas aeruginosa; Antibacterial drugs; Drug resistance; Multi-drug resistance
分类号:
R378
DOI:
10.3969/j.issn.1006-1959.2021.01.039
文献标志码:
A
摘要:
目的 分析我院2014~2018年铜绿假单胞菌感染的临床分布及耐药情况，指导临床合理使用抗菌药物。方法 回顾性分析2014年1月~2018年12月我院门急诊及住院患者临床各类型标本中分离出的铜绿假单胞菌感染患者的临床资料及药敏结果并进行分析。结果 5年共分离出铜绿假单胞菌2867株，主要标本类型为痰液（60.69%），其次为分泌物（10.32%）、尿液（10.01%）。其检出率呼吸科最高（18.94%），其次为ICU（15.77%）、干部保健科（10.22%）、肾内科（9.49%）。铜绿假单胞菌对阿米卡星耐药率最低（5.27%），亚胺培南、氨曲南、美罗培南耐药率一直位居前3，分别为47.16%、36.80%、31.71%。多重耐药铜绿假单胞菌检出率呈下降趋势，其对常用抗菌药物耐药性显著高于非多重耐药铜绿假单胞菌。结论 铜绿假单胞菌的临床检出率逐渐上升，多重耐药铜绿假单胞菌检出率呈下降趋势，但多重耐药铜绿假单胞菌对多种抗菌药物耐药率仍处于高水平，应加强细菌耐药性监测，指导临床合理使用抗菌药物，降低铜绿假单胞菌耐药率。
Abstract:
Objective To analyze the clinical distribution and drug resistance of Pseudomonas aeruginosa infection in our hospital from 2014 to 2018 to guide the clinical rational use of antibacterial drugs.Methods The clinical data and drug susceptibility results of patients with Pseudomonas aeruginosa infection isolated from various types of clinical specimens of outpatients and inpatients in our hospital from January 2014 to December 2018 were retrospectively analyzed.Results A total of 2867 strains of Pseudomonas aeruginosa were isolated in 5 years,The main specimen type was sputum （60.69%）, followed by secretions （10.32%） and urine （10.01%）.The detection rate was highest in respiratory department （18.94%）, followed by ICU （15.77%）, cadre health department （10.22%）, and nephrology department （9.49%）.Pseudomonas aeruginosa had the lowest resistance rate to amikacin （5.27%）,the resistance rate of imipenem, aztreonam, and meropenem had been among the top 3.They were 47.16%, 36.80%, and 31.71% respectively.The detection rate of multi-drug resistant Pseudomonas aeruginosa showed a downward trend，its resistance to commonly used antibacterial drugs was significantly higher than that of non-multidrug resistant Pseudomonas aeruginosa.Conclusion The clinical detection rate of Pseudomonas aeruginosa has gradually increased, and the detection rate of multi-drug-resistant Pseudomonas aeruginosa has shown a downward trend, but the rate of multi-drug-resistant Pseudomonas aeruginosa to multiple antimicrobials is still at a high level. The monitoring of bacterial resistance should be strengthened to guide the rational use of antibacterial drugs in clinical practice to reduce the resistance rate of Pseudomonas aeruginosa.

参考文献/References:

[1]中华医学会呼吸病学分会感染学组.铜绿假单胞菌下呼吸道感染诊治专家共识[J].中华结核和呼吸杂志,2014,37(1):9-15. [2]Cockerill FR.Clinical and Laboratory Standards Institute Performance standards for antimicrobial susceptibility testing;twenty-third informational supplement[J].National Committee for Clinical Laboratory Standards,2012(32):1-188. [3]李芳,张祎,王静,等.近5年铜绿假单胞菌的临床分布及耐药性分析[J].西北药学杂志,2019,34(4):556-559. [4]张祎博,孙景勇,倪语星,等.2005-2014年CHINET铜绿假单胞菌耐药性监测[J].中国感染与化疗杂志,2016,16(2):141-145. [5]王巧媚,陆丹倩,彭明,等.连续5年2279株铜绿假单胞菌的临床分布及耐药性分析[J].检验医学与临床,2019,16(23):3437-3440. [6]毛磊,王炜,苏建荣.北京市某医院354株铜绿假单胞菌分布及耐药情况分析[J].检验医学,2019,34(6):502-505. [7]曾为伦,吴海鸥,章如玲,等.多重耐药铜绿假单胞菌的相关耐药机制研究[J].中国抗生素杂志,2016,41(5):377-381. [8]周银娣,沈继录.某教学医院三年间铜绿假单胞菌临床特征与耐药趋势分析[J].临床输血与检验,2018,20(4):399-401. [9]邸秀珍,王睿.耐碳青霉烯类铜绿假单胞菌耐药机制的研究现状[J].中国临床药理学杂志,2015(8):669-672. [10]宁唤唤,李晶,王严,等.铜绿假单胞菌耐药性与致病性共选择机制研究进展[J].中国抗生素杂志,2015,40(5):382-388,400. [11]徐伟红,徐斌,姚怡婷,等.铜绿假单胞菌产AmpCβ-内酰胺酶及外膜孔蛋白OprD2基因缺失分析[J].检验医学,2016,31(4):309-313. [12]林丽容.铜绿假单胞菌分布及耐药情况分析[J].临床合理用药杂志,2018,11(35):112-114. [13]魏新素,刘永太,秦勇.铜绿假单胞菌耐药机制的研究及新治疗策略[J].农垦医学,2018,40(4):349-353.

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].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].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].Medical Information,2018,31(01):118.[doi:10.3969/j.issn.1006-1959.2018.11.037]
[4]李绪定.碳青霉烯类治疗铜绿假单胞菌肺炎的临床效果分析[J].医学信息,2018,31(13):134.[doi:10.3969/j.issn.1006-1959.2018.13.039]
　LI Xu-ding.Clinical Effect of Carbapenem in the Treatment of Pseudomonas Aeruginosa Pneumonia[J].Medical Information,2018,31(01):134.[doi:10.3969/j.issn.1006-1959.2018.13.039]
[5]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].Medical Information,2018,31(01):31.[doi:10.3969/j.issn.1006-1959.2018.17.010]
[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].Medical Information,2018,31(01):112.[doi:10.3969/j.issn.1006-1959.2018.24.032]
[7]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.[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].Medical Information,2019,32(01):136.[doi:10.3969/j.issn.1006-1959.2019.01.042]
[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].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].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].Medical Information,2019,32(01):116.[doi:10.3969/j.issn.1006-1959.2019.15.038]
[11]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].Medical Information,2019,32(01):124.[doi:10.3969/j.issn.1006-1959.2019.09.041]

更新日期/Last Update: 1900-01-01