Bielicki J A, Cromwell D A, Johnson A, Planche T, Sharland M
Paediatric Infectious Diseases Research Group (PIDRG), Institute for Infection and Immunity, St George's, University of London, Jenner Wing, Cranmer Terrace, London, SW17 0RE, UK.
Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.
Eur J Clin Microbiol Infect Dis. 2017 May;36(5):839-846. doi: 10.1007/s10096-016-2869-4. Epub 2016 Dec 26.
This study evaluates whether estimated multidrug resistance (MDR) levels are dependent on the design of the surveillance system when using routine microbiological data. We used antimicrobial resistance data from the Antibiotic Resistance and Prescribing in European Children (ARPEC) project. The MDR status of bloodstream isolates of Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa was defined using European Centre for Disease Prevention and Control (ECDC)-endorsed standardised algorithms (non-susceptible to at least one agent in three or more antibiotic classes). Assessment of MDR status was based on specified combinations of antibiotic classes reportable as part of routine surveillance activities. The agreement between MDR status and resistance to specific pathogen-antibiotic class combinations (PACCs) was assessed. Based on all available antibiotic susceptibility testing, the proportion of MDR isolates was 31% for E. coli, 30% for K. pneumoniae and 28% for P. aeruginosa isolates. These proportions fell to 9, 14 and 25%, respectively, when based only on classes collected by current ECDC surveillance methods. Resistance percentages for specific PACCs were lower compared with MDR percentages, except for P. aeruginosa. Accordingly, MDR detection based on these had low sensitivity for E. coli (2-41%) and K. pneumoniae (21-85%). Estimates of MDR percentages for Gram-negative bacteria are strongly influenced by the antibiotic classes reported. When a complete set of results requested by the algorithm is not available, inclusion of classes frequently tested as part of routine clinical care greatly improves the detection of MDR. Resistance to individual PACCs should not be considered reflective of MDR percentages in Enterobacteriaceae.
本研究评估了在使用常规微生物学数据时,估计的多重耐药(MDR)水平是否依赖于监测系统的设计。我们使用了欧洲儿童抗生素耐药性与处方(ARPEC)项目中的抗菌药物耐药性数据。大肠杆菌、肺炎克雷伯菌和铜绿假单胞菌血流分离株的MDR状态是使用欧洲疾病预防控制中心(ECDC)认可的标准化算法定义的(对三种或更多抗生素类别中的至少一种药物不敏感)。MDR状态的评估基于作为常规监测活动一部分可报告的特定抗生素类别组合。评估了MDR状态与对特定病原体-抗生素类别组合(PACC)的耐药性之间的一致性。根据所有可用的抗生素敏感性测试,大肠杆菌的MDR分离株比例为31%,肺炎克雷伯菌为30%,铜绿假单胞菌分离株为28%。当仅基于ECDC当前监测方法收集的类别时,这些比例分别降至9%、14%和25%。除铜绿假单胞菌外,特定PACC的耐药百分比低于MDR百分比。因此,基于这些方法检测大肠杆菌(2-41%)和肺炎克雷伯菌(21-85%)的MDR敏感性较低。革兰氏阴性菌的MDR百分比估计受到报告的抗生素类别的强烈影响。当算法要求的完整结果集不可用时,纳入作为常规临床护理一部分经常检测的类别可大大提高MDR的检测率。不应将对个体PACC的耐药性视为肠杆菌科中MDR百分比的反映。