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MALDI-TOF MS 快速检测血培养阳性标本中的抗生素耐药性及 和 的自动优化 MBT-ASTRA 方案。

Rapid detection of antibiotic resistance in positive blood cultures by MALDI-TOF MS and an automated and optimized MBT-ASTRA protocol for and .

机构信息

Faculty of Natural Science, Kristianstad University, Kristianstad, Sweden.

Faculty of Medicine, Lund University, Lund, Sweden.

出版信息

Infect Dis (Lond). 2020 Jan;52(1):45-53. doi: 10.1080/23744235.2019.1682658. Epub 2019 Oct 29.

DOI:10.1080/23744235.2019.1682658
PMID:31661349
Abstract

For fast and effective antibiotic therapy of serious infections like sepsis, it is crucial with rapid information about antibiotic susceptibility, especially in a time when the number of infections caused by multi resistant bacteria has escalated in the world. Here, we have used a semi-quantitative MALDI-TOF-MS based method for antibiotic resistance detection, MBT-ASTRA™, which is based on the comparison of growth rate of the bacteria cultivated with and without antibiotics. We demonstrate a new protocol where several parameters have been optimized and automated leading to reduced hands-on time and improved capacity to simultaneously analyse multiple clinical samples and antibiotics. Ninety minutes of incubation at 37 °C with agitation was sufficient to differentiate the susceptible and resistant strains of and , for the antibiotics cefotaxime, meropenem and ciprofloxacin. In total, 841 positive blood culture analyses of 14 reference strains were performed. The overall sensitivity was 99%, specificity 99% and the accuracy 97%. The assay gave no errors for cefotaxime ( = 263) or meropenem ( = 289) for sensitive and resistant strains, whilst ciprofloxacin ( = 289) gave six (0.7%) major errors (false resistance) and four (0.5%) very major errors (false susceptibility). The intermediate strains showed a larger variety compared to the E-test MIC values. The hands-on time and the analysis time to detect antibiotic resistance of clinical blood samples can be substantially reduced and the sample capacity can be increased by using automation and this improved protocol.

摘要

为了快速有效地治疗败血症等严重感染,快速获取抗生素药敏信息至关重要,尤其是在世界范围内,由多耐药菌引起的感染数量不断增加的情况下。在这里,我们使用了一种基于 MALDI-TOF-MS 的半定量抗生素耐药检测方法 MBT-ASTRA™,该方法基于在有无抗生素的情况下培养细菌的生长速度进行比较。我们提出了一种新的方案,其中优化并自动化了几个参数,从而减少了人工操作时间,并提高了同时分析多个临床样本和抗生素的能力。在 37°C 下振荡孵育 90 分钟足以区分 和 对头孢噻肟、美罗培南和环丙沙星的敏感和耐药菌株。总共对 14 株参考菌株的 841 份阳性血培养分析进行了检测。总体敏感性为 99%,特异性为 99%,准确性为 97%。该检测方法对头孢噻肟( = 263)或美罗培南( = 289)的敏感和耐药菌株均无错误,而环丙沙星( = 289)则出现了 6 次(0.7%)主要错误(假耐药)和 4 次(0.5%)非常大错误(假敏感)。与 E 试验 MIC 值相比,中间菌株的差异更大。通过使用自动化和这种改进的方案,可以大大减少检测临床血样中抗生素耐药性的人工操作时间和分析时间,并增加样本容量。

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