Antimicrobial resistance profile of clinical isolates in hospitals across China: report from the CHINET Surveillance Program, 2017
- VernacularTitle:2017年CHINET中国细菌耐药性监测
- Author:
Fupin HU
1
;
Yan GUO
;
Demei ZHU
;
Fu WANG
;
Xiaofei JIANG
;
Yingchun XU
;
Xiaojiang ZHANG
;
Zhaoxia ZHANG
;
Ping JI
;
Yi XIE
;
Mei KANG
;
Chuanqing WANG
;
Aimin WANG
;
Yuanhong XU
;
Jilu SHEN
;
Ziyong SUN
;
Zhongju CHEN
;
Yuxing NI
;
Jingyong SUN
;
Yunzhuo CHU
;
Sufei TIAN
;
Zhidong HU
;
Jin LI
;
Yunsong YU
;
Jie LIN
;
Bin SHAN
;
Yan DU
;
Sufang GUO
;
Lianhua WEI
;
Fengmei ZOU
;
Hong ZHANG
;
Chun WANG
;
Yunjian HU
;
Xiaoman AI
;
Chao ZHUO
;
Danhong SU
;
Ruizhong WANG
;
Hua FANG
;
Bixia YU
;
Yong ZHAO
;
Ping GONG
;
Dawen GUO
;
Jinying ZHAO
;
Wenen LIU
;
Yanming LI
;
Yan JIN
;
Chunhong SHAO
;
Kaizhen WEN
;
Yirong ZHANG
;
Xuesong XU
;
Chao YAN
;
Hua YU
;
Xiangning HUANG
;
Shanmei WANG
;
Yafei CHU
;
Lixia ZHANG
;
Juan MA
;
Shuping ZHOU
;
Yan ZHOU
;
Lei ZHU
;
Jinhua MENG
;
Fang DONG
;
Hongyan ZHENG
;
Han SHEN
;
Wanqing ZHOU
;
Wei JIA
;
Gang LI
;
Jinsong WU
;
Yuemei LU
Author Information
- Keywords: bacterial resistance surveillance; antimicrobial susceptibility testing; vancomycin-resistant Enterococcus; methicillin-resistant Staphylococcus; penicillin-resistant Streptococcus pneumoniae; carbapenem-resistant gram-negative bacterium
- From: Chinese Journal of Infection and Chemotherapy 2018;18(3):241-251
- CountryChina
- Language:Chinese
- Abstract: Objective To investigate the antimicrobial resistance profile of the clinical isolates collected from selected hospitals across China. Methods Twenty-nine general hospitals and five children's hospitals were involved in this program. Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems. Results were interpreted according to CLSI 2017 breakpoints. Results A total of 190 610 clinical isolates were collected from January to December 2017, of which gram negative organisms accounted for 70.8％ (134 951/190 610) and gram positive cocci 29.2％ (55 649/190 610). The prevalence of methicillin-resistant strains was 35.3％ in S. aureus (MRSA) and 80.3％ in coagulase negative Staphylococcus (MRCNS) on average. MR strains showed much higher resistance rates to most of the other antimicrobial agents than MS strains. However, 91.6％ of MRSA strains were still susceptible to trimethoprim-sulfamethoxazole, while 86.2％ of MRCNS strains were susceptible to rifampin. No staphylococcal strains were found resistant to vancomycin. E. faecalis strains showed much lower resistance rates to most of the drugs tested (except chloramphenicol) than E. faecium. Vancomycin-resistant Enterococcus (VRE) was identified in both E. faecalis and E. faecium. The identified VRE strains were mainly vanA, vanB or vanM type based on phenotype or genotype. The proportion of PSSP or PRSP strains in the non-meningitis S.pneumoniae strains isolated from children decreased but the proportion of PISP strains increased when compared to the data of 2016. Enterobacteriaceae strains were still highly susceptible to carbapenems. Overall, less than 10％ of these strains (excluding Klebsiella spp.) were resistant to carbapenems. The prevalence of imipenem-resistant K. pneumoniae increased from 3.0％ in 2005 to 20.9％ in 2017, and meropenem-resistant K. pneumoniae increased from 2.9％ in 2005 to 24.0％ in 2017, more than 8-fold increase. About 66.7％ and 69.3％ of Acinetobacter (A. baumannii accounts for 91.5％) strains were resistant to imipenem and meropenem, respectively. Compared with the data of year 2016, P. aeruginosa strains showed decreasing resistance rate to carbapenems. Conclusions Bacterial resistance is still on the rise. It is necessary to strengthen hospital infection control and stewardship of antimicrobial agents. The communication between laboratorians and clinicians should be further improved in addition to surveillance of bacterial resistance.
