Valsesia Giorgia, Roos Malgorzata, Böttger Erik C, Hombach Michael
Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.
Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
J Clin Microbiol. 2015 Jun;53(6):1812-22. doi: 10.1128/JCM.03506-14. Epub 2015 Mar 11.
In this study, we introduce a new approach for determination of epidemiologic cutoffs (ECOFFs) and resistant-population cutoffs (RCOFFs) based on receiver operating characteristic (ROC) curves. As an example, the method was applied for determination of ECOFFs for seven different beta-lactam antibiotics and wild-type populations of Escherichia coli, Klebsiella pneumoniae, and Enterobacter cloacae. In addition, RCOFFs were determined for bacterial populations with defined resistance mechanisms ("resistotypes"), i.e., extended-spectrum beta-lactamase (ESBL)-positive E. coli, ESBL-positive K. pneumoniae, and ESBL-positive E. cloacae; AmpC cephalosporinase-positive E. coli and AmpC-positive K. pneumoniae; and broad-spectrum beta-lactamase (BSBL)-positive E. coli. RCOFFs and ECOFFs are instrumental for a systematic characterization of associations between resistotypes and wild-type populations.
在本研究中,我们引入了一种基于受试者工作特征(ROC)曲线来确定流行病学截断值(ECOFFs)和耐药人群截断值(RCOFFs)的新方法。作为示例,该方法被应用于确定七种不同β-内酰胺类抗生素以及大肠杆菌、肺炎克雷伯菌和阴沟肠杆菌野生型群体的ECOFFs。此外,还针对具有明确耐药机制(“耐药型”)的细菌群体确定了RCOFFs,即产超广谱β-内酰胺酶(ESBL)的大肠杆菌、产ESBL的肺炎克雷伯菌和产ESBL的阴沟肠杆菌;产AmpC头孢菌素酶的大肠杆菌和产AmpC的肺炎克雷伯菌;以及产广谱β-内酰胺酶(BSBL)的大肠杆菌。RCOFFs和ECOFFs有助于系统地表征耐药型与野生型群体之间的关联。