Changes of pathogens and antibiotic susceptibility surveillance in a respiratory ward from 2001 to 2005
- VernacularTitle:2001—2005年呼吸科病房临床分离菌的变迁及耐药性监测
- Author:
Qing-Tao ZHOU
;
Wanzhen YAO
;
Ya-Hong CHEN
;
Ning SHEN
;
Rui WU
;
Zhen-Ying LIU
;
- Publication Type:Journal Article
- Keywords:
Pathogen;
Bacterial resistance;
Respiratory ward
- From:
Chinese Journal of Infection and Chemotherapy
2007;0(01):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the changes of pathogens and antibiotic susceptibility in a respiratory ward.Methods All pathogens isolated from patients in a respiratory ward from 2001 to 2005 and the drug susceptibility results were retrospectively analyzed.For patients with more than 1 isolates of the same species, only the first strain of pathogen was included for analysis. The isolation and identification procedure was based on guidelines for national clinical laboratories.The susceptibility test was performed by disk diffusion method.WHONET 5.3 software was used for statistical analysis.Results A total of 876 strains were analyzed.The majority was gram negative bacteria.MRSA prevalence was 72.4% and showed a trend of increase.No vancomycin resistant Staphylococcus aureus or Enterococcus was detected.Streptococcus pneumoniae was highly resistant to macrolides.The non-sensitivity rate to penicillin was 25.5%-66.7% over years.The resistance rate to levofloxacin was 22.2%-27.3%.Enterobacter and Acinetobacter baumannii showed stable susceptibility to imipenem.ESBLs-producing Esche- richia coli and Klebsiella pneumoniae accounted for 33.3%-38.9% and 14.3%-19.2% respectively.P.aeruginosa strains were relatively susceptible to ceftazidime, amikaein, cefoperazone-sulbactam, imipenem, piperacillin-tazobactam and cefepime. The sensitivity rate was 87%, 82.6%, 78.3%, 73.9%, 73.9% and 71.4% respectively in 2005.Conclusions The changes of pathogens and antibiotic resistance in the respiratory ward were consistent with the surveillance data in this country, which were influenced by underlying diseases, severity of illness and antibiotic use.Our data are useful for the guidance of rational use of antibiotics.
