Surveillance of antimicrobial resistance and evolving microbial populations in Vermont: 2011-2018.
Surveillance of antimicrobial resistance and evolving microbial populations in Vermont: 2011-2018.
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DOI：
10.1080/14787210.2020.1776114
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发表时间：
2020-10
影响因子：
5.7
通讯作者：
Kelso P
中科院分区：
文献类型：
--
作者：
Stelling J;Read JS;Fritch W;O'Brien TF;Peters R;Clark A;Bokhari M;Lion M;Katwa P;Kelso P
本研究介绍了佛蒙特州急性护理医院微生物实验室常规微生物检测结果中微生物分离和耐药性的趋势。世卫组织抗菌素耐药性监测合作中心利用免费WHONET软件，从佛蒙特州急症护理医院实验室获取微生物学检测结果，以监测抗菌素耐药性和新出现的微生物威胁的地理和时间趋势。从2011年至2018年，12家急性护理医院实验室提供了来自148，994例患者（70%女性，74%门诊患者和63%尿液）的318，833株分离株的数据。门诊和住院患者分离株之间的年龄、性别和抗菌药物敏感性结果（例如大肠埃希菌和左氧氟沙星）存在显著差异（p<0.05），某些菌种（例如尿气球菌）和耐药性（例如肺炎链球菌和红霉素）暂时增加。多重耐药表型的使用证明了不同机构之间MRSA菌株的显著异质性（p<0.05），例如，在非危重医院（住院床位少于25张）中发现了对6种优先抗菌药物耐药的金黄色葡萄球菌，但在所有非危重医院中发现了耐药金黄色葡萄球菌。利用常规临床微生物学数据和免费软件工具对抗菌素耐药性进行全面的电子监测，可以在地方和州一级早期识别和跟踪新出现的社区和医疗保健耐药性威胁。
This study presents trends in organism isolation and antimicrobial resistance in routine microbiology test results from acute-care hospital microbiology laboratories in Vermont. The WHO Collaborating Centre for Surveillance of Antimicrobial Resistance captured microbiology test results from acute-care Vermont hospital laboratories to monitor geographic and temporal trends in antimicrobial resistance and emerging microbial threats with the free WHONET software. Data were provided from 12 acute care hospital laboratories from 2011 through 2018 for 318,833 isolates from 148,994 patients (70% female, 74% outpatient, and 63% urine). Significant differences (p<0.05) in age, gender, and antimicrobial susceptibility results (e.g. Escherichia coli and levofloxacin) between outpatient and inpatient isolates were identified with temporal increases in certain species (e.g. Aerococcus urinae) and resistance (e.g. Streptococcus pneumoniae and erythromycin). The use of multi-resistance phenotypes demonstrated significant heterogeneity (p<0.05) in MRSA strains between facilities, for example Staphylococcus aureus resistant to six priority antimicrobials were found in no critical access hospitals (fewer than 25 inpatient beds) but in all non-critical access hospitals. Comprehensive electronic surveillance of antimicrobial resistance utilizing routine clinical microbiology data with free software tools offers early recognition and tracking of emerging community and healthcare resistance threats at the local and state level.
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影响因子：
0.5
作者：
Higgins, Andrew;Garg, Tullika
通讯作者：
Garg, Tullika
影响因子：
14.2
作者：
Magiorakos, A. -P.;Srinivasan, A.;Monnet, D. L.
通讯作者：
Monnet, D. L.
影响因子：
3.8
作者：
Vinas, Maria R.;Tuduri, Ezequiel;Galas, Marcelo
通讯作者：
Galas, Marcelo
DOI：
10.1016/j.jhin.2018.10.005
发表时间：
2019-06
期刊：
The Journal of hospital infection
影响因子：
--
作者：
Tsutsui A;Yahara K;Clark A;Fujimoto K;Kawakami S;Chikumi H;Iguchi M;Yagi T;Baker MA;O'Brien T;Stelling J
通讯作者：
Stelling J
影响因子：
15.8
作者：
Huang, Susan S.;Yokoe, Deborah S.;Platt, Richard
通讯作者：
Platt, Richard