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Rapid Detection of Vancomycin-Intermediate Staphylococcus aureus by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry

机译:基质辅助激光解吸电离-飞行时间质谱快速检测万古霉素中间金黄色葡萄球菌

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摘要

Vancomycin is the standard of care for the treatment of invasive methicillin-resistant Staphylococcus aureus (MRSA) infections. Infections with vancomycin-nonsusceptible MRSA, including vancomycin-intermediate S. aureus (VISA) and heterogeneous VISA (hVISA), are clinically challenging and are associated with poor patient outcomes. The identification of VISA in the clinical laboratory depends on standard susceptibility testing, which takes at least 24 h to complete after isolate subculture, whereas hVISA is not routinely detected in clinical labs. We therefore sought to determine whether VISA and hVISA can be differentiated from vancomycin-susceptible S. aureus (VSSA) using the spectra produced by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). Strains of MRSA were characterized for vancomycin susceptibility phenotype by broth microdilution and modified population analysis. We tested 21 VISA, 21 hVISA, and 38 VSSA isolates by MALDI-TOF MS. Susceptibility phenotypes were separated by using a support vector machine (SVM) machine learning algorithm. The resulting model was validated by leave-one-out cross validation. Models were developed and validated by using spectral profiles generated under various subculture conditions, as well as with and without hVISA strains. Using SVM, we correctly identified 100% of the VISA and 97% of the VSSA isolates with an overall classification accuracy of 98%. Addition of hVISA to the model resulted in 76% hVISA identification, 100% VISA identification, and 89% VSSA identification, for an overall classification accuracy of 89%. We conclude that VISA/hVISA and VSSA isolates are separable by MALDI-TOF MS with SVM analysis.
机译:万古霉素是治疗侵袭性耐甲氧西林金黄色葡萄球菌(MRSA)感染的护理标准。万古霉素不敏感的MRSA感染,包括万古霉素中间金黄色葡萄球菌(VISA)和异种VISA(hVISA),在临床上具有挑战性,并与患者预后不良相关。在临床实验室中对VISA的识别取决于标准的药敏测试,分离出的亚培养后至少需要24小时才能完成,而临床实验室中通常不会检测到hVISA。因此,我们寻求通过基质辅助激光解吸电离-飞行时间质谱(MALDI-TOF MS)产生的光谱来确定是否可以将VISA和hVISA与对万古霉素敏感的金黄色葡萄球菌(VSSA)区分开。通过肉汤微量稀释和改良群体分析对MRSA菌株进行万古霉素敏感性表型表征。我们通过MALDI-TOF MS测试了21种VISA,21种hVISA和38种VSSA分离株。通过使用支持向量机(SVM)机器学习算法来分离易感性表型。通过留一法交叉验证对生成的模型进行验证。通过使用在各种继代培养条件下以及有和没有hVISA菌株时产生的光谱图谱,开发并验证了模型。使用SVM,我们正确地识别了100%的VISA和97%的VSSA分离株,总体分类精度为98%。将hVISA添加到模型中,可以得到76%的hVISA识别,100%的VISA识别和89%的VSSA识别,总体分类精度为89%。我们得出的结论是,MALDI-TOF MS与SVM分析可分离VISA / hVISA和VSSA分离株。

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