Department of Laboratory Medicine and Research Institute of Bacterial Resistance, Yonsei University College of Medicine, Seoul, Republic of Korea.
These authors contributed equally to this study.
Euro Surveill. 2018 Oct;23(42). doi: 10.2807/1560-7917.ES.2018.23.42.1800047.
The Korean government established an antimicrobial resistance (AMR) surveillance system, compatible with the Global AMR Surveillance System (GLASS): Kor-GLASS. We describe results from the first year of operation of the Kor-GLASS from May 2016 to April 2017, comprising all non-duplicated clinical isolates of major pathogens from blood urine faeces and urethral and cervical swabs from six sentinel hospitals. Antimicrobial susceptibility tests were carried out by disk diffusion, Etest, broth microdilution and agar dilution methods. Among 67,803 blood cultures, 3,523 target pathogens were recovered. The predominant bacterial species were (n = 1,536), (n = 597) and (n = 584). From 57,477 urine cultures, 6,394 and 1,097 were recovered. Bloodstream infections in inpatients per 10,000 patient-days (10TPD) were highest for cefotaxime-resistant with 2.1, followed by 1.6 for meticillin-resistant , 1.1 for imipenem-resistant , 0.8 for cefotaxime-resistant and 0.4 for vancomycin-resistant . Urinary tract infections in inpatients were 7.7 and 2.1 per 10TPD for cefotaxime-resistant and , respectively. Kor-GLASS generated well-curated surveillance data devoid of collection bias or isolate duplication. A bacterial bank and a database for the collections are under development.
韩国政府建立了一个与全球抗菌药物耐药性监测系统(GLASS)兼容的抗菌药物耐药性(AMR)监测系统:Kor-GLASS。我们描述了 2016 年 5 月至 2017 年 4 月 Kor-GLASS 运行第一年的结果,该系统包含来自六家监测医院的血液、尿液、粪便和尿道及宫颈拭子的主要病原体的所有非重复临床分离株。药敏试验采用纸片扩散法、Etest 法、肉汤微量稀释法和琼脂稀释法进行。在 67803 份血培养中,共分离出 3523 株目标病原体。主要细菌种类为 (n = 1536)、 (n = 597)和 (n = 584)。从 57477 份尿液培养中,共分离出 6394 株 和 1097 株 。每 10000 个患者日(10TPD)住院患者的血流感染率最高的是头孢噻肟耐药 ,为 2.1,其次是耐甲氧西林的 ,为 1.6,耐亚胺培南的 ,为 1.1,头孢噻肟耐药的 ,为 0.8,万古霉素耐药的 ,为 0.4。住院患者的尿路感染率分别为头孢噻肟耐药的 7.7 和 2.1/10TPD 。Kor-GLASS 生成了经过精心整理的监测数据,不存在数据收集偏差或分离株重复。目前正在开发一个细菌库和一个收藏数据库。