Pathogens from Nosocomial Infection Cases:Clinical Distribution and Drug Resistance Analysis of 5382 Strains
- VernacularTitle:综合型医院5382株医院感染病原菌的分布及耐药性分析
- Author:
Bo ZHANG
;
Weiling FU
;
Ying JIANG
;
Zhiyong LIU
;
Yali GONG
;
Xiaobing ZHANG
- Publication Type:Journal Article
- Keywords:
Nosocomial infection;
Pathogen;
Drug resistance
- From:
Chinese Journal of Nosocomiology
2009;0(14):-
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To determine the clinical distribution and drug resistance characteristics of pathogens from nosocomial infection cases to provide the gist for clinical therapy.METHODS Pathogens isolation,identification and drug resistance tests were conducted to samples,which were gathered from respective departments in our hospital between Jan 2007 to Dec 2007.Then,MRSA tests were performed for Staph Staphylococcus and ESBLs-producing G-bacilli were also detected.RESULTS Among 5382 pathogen strains from 12571 samples,3390 strains were G-bacilli(62.98%),953 strains were G+ bacteria(17.71%) and 1039 strains were fungi(19.31%).The most common species among 4343 strains pathogens except fungi were Pseudomonas aeruginosa(20.5%),Acinetobacter baumanni(11.2%),Klebsiella pneumoniae(10.8%),Escherichia coli(8.6%) and Staphylococcus aureus(8.3%).The clinical departments with higher infective rate were Department of Neurosurgery,Department of Respiratory Disease,ICU,Department of Hepatobiliary Surgery,and Department of Pediatrics in order.Drug resistance results showed that the resistance rates of S.aureus to clindamycin,Quinolones and Tetracyclines were about 50%,but no S.aureus was resistant to vancomycin,linezolid and teicoplanin.The resistance rates of G-bacilli to imipenem,meropenem and azithromycin were lower,but with more than 30% of resistance rates to others common antibiotic drugs.CONCLUSIONS The pathogens in nosocomial infection are mainly the opportunistic pathogenic bacteria and mostly G-bacilli.The infection due to fungi shows an increasing trend.It should pay attention to the pathogenic detection and rational use of antimicrobial agents.