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Rapid Discrimination between Methicillin-Sensitive and Methicillin-Resistant Staphylococcus aureus Using MALDI-TOF Mass Spectrometry.

机译:使用MALDI-TOF质谱快速区分耐甲氧西林的金黄色葡萄球菌和耐甲氧西林的金黄色葡萄球菌。

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Methicillin-resistant Staphylococcus aureus (MRSA) is one of the major pathogens responsible for nosocomial infections. The presence of MRSA in a hospital is detrimental to patients and to hospital management. Thus, rapid identification of MRSA is needed. Here, we report on a prospective method to rapidly discriminate of MSSA from MRSA using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) and support vector machine (SVM) analysis in 160 clinical isolates of S. aureus. The predictive model was tested using 100 S. aureus isolates (50 MSSA and 50 MRSA). The identification rates were 90.0% for MSSA and 87.5% for MRSA in a 10-fold cross-validation SVM. In blind test sets, 60 S. aureus isolates (30 MSSA and 30 MRSA) were correctly classified, with identification rates of 93.3% for MSSA and 86.7% for MRSA. The method proposed in this study using the predictive model enables detection of one colony in 5 minutes, and thus is useful at clinical sites at which rapid discrimination of MRSA from MSSA is required.
机译:耐甲氧西林金黄色葡萄球菌(MRSA)是引起医院感染的主要病原体之一。医院中MRSA的存在不利于患者和医院管理。因此,需要快速鉴定MRSA。在这里,我们报告了一种前瞻性方法,该方法使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)和支持向量机(SVM)分析在160株金黄色葡萄球菌临床分离物中从MRSA中快速区分MSSA。 。使用100个金黄色葡萄球菌分离株(50个MSSA和50个MRSA)测试了预测模型。在10倍交叉验证SVM中,MSSA的识别率为90.0%,MRSA的识别率为87.5%。在盲测中,正确分类了60株金黄色葡萄球菌(30种MSSA和30种MRSA),MSSA的鉴定率为93.3%,MRSA的鉴定率为86.7%。本研究中使用预测模型提出的方法能够在5分钟内检测到一个菌落,因此在需要快速区分MRSA和MSSA的临床部位很有用。

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