Utility of the MBT STAR-Cepha kit in detecting extended-spectrum β-lactamase producers in clinical urine samples and positive blood cultures using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry.

Journal of microbiological methods(2023)

引用 0|浏览0
暂无评分
摘要
Urinary tract infection (UTI) and bloodstream infection (BSI) caused by extended-spectrum β-lactamase (ESBL)-producing bacteria are important healthcare problems. Appropriate infection management requires the direct detection of organisms in clinical specimens. We assessed the capability of the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry-based MBT STAR-Cepha kit to detect ESBL producers in clinical urine and blood samples. Over a 1-year period, 90 urine samples and 55 positive monomicrobial (Escherichia coli, Klebsiella pneumoniae, Klebsiella oxytoca, or Proteus mirabilis) blood cultures were collected from patients with UTI or BSI at Hamamatsu University Hospital. β-lactamase activity in these samples was directly detected using the MBT STAR-Cepha kit, and the results were compared with those of antimicrobial susceptibility testing and polymerase chain reaction detection assay for the isolates. In receiver operating characteristic curve analysis, the kit assay showed low accuracy in detecting ESBL producers in urine samples (area under the curve [AUC], 0.69). Meanwhile, the AUC for detecting all ESBL-producing bacteria in positive blood cultures was 0.81. The kit assay detected cefotaxime (CTX) resistance (mainly in CTX-M-type ESBL producers) with high accuracy in positive blood cultures; however, it did not accurately detect ESBL producers in urine samples and CTX-susceptible isolates with other ESBL-associated genes (e.g., TEM and SHV types) in positive blood cultures. MBT STAR-Cepha testing can accurately discriminate CTX-resistant ESBL producers in BSI cases and thus can contribute to effective infection management. The results suggest that different sample types, antibiotic resistance profiles, and resistance genes can affect the kit performance.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要