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首页> 外文期刊>Annals of laboratory medicine. >Evaluation of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry-Based VITEK MS System for the Identification of Acinetobacter Species from Blood Cultures: Comparison with VITEK 2 and MicroScan Systems
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Evaluation of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry-Based VITEK MS System for the Identification of Acinetobacter Species from Blood Cultures: Comparison with VITEK 2 and MicroScan Systems

机译:基质辅助激光解吸电离的评估-基于飞行时间质谱的VITEK MS系统从血培养物中鉴定不动杆菌的种类:与VITEK 2和MicroScan系统的比较

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Background: Acinetobacter species are the leading cause of bloodstream infection (BSI), but their correct identification is challenging. We evaluated the matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)-based VITEK MS (bioMérieux, France), and two automated systems, VITEK 2 (bioMérieux) and MicroScan (Siemens, USA) for identification of Acinetobacter BSI isolates. Methods: A total of 187 BSI isolates recovered at a university hospital in Korea between 2010 and 2012 were analyzed. The identification results obtained using VITEK MS and two automated systems were compared with those of rpoB sequencing. Results: Of 187 isolates analyzed, 176 were identified to the species level by rpoB sequencing: the Acinetobacter baumannii group (ABG; 101 A. baumannii, 43 A. nosocomialis, 10 A. pittii isolates) was most commonly identified (82.4%), followed by Acinetobacter genomic species 13BJ/14TU (5.3%), A. ursingii (2.1%), A. soli (2.1%), A. bereziniae (1.1%), and A. junii (1.1%). Correct identification rates to the species group (ABG) level or the species level was comparable among the three systems (VITEK MS, 90.3%; VITEK 2, 89.2%; MicroScan, 86.9%). However, VITEK MS generated fewer misidentifications (0.6%) than VITEK 2 (10.8%) and MicroScan (13.1%) (P P Conclusions: The VITEK MS system is superior to the VITEK 2 and MicroScan systems for identification of Acinetobacter BSI isolates, with fewer misidentifications and better discrimination between the ABG and non-ABG isolates.
机译:背景:不动杆菌属是血流感染(BSI)的主要原因,但其正确识别具有挑战性。我们评估了基于基质辅助的激光解吸电离飞行时间质谱(MALDI-TOF MS)的VITEK MS(法国bioMérieux)和两个自动化系统VITEK 2(bioMérieux)和MicroScan(美国西门子)的鉴定不动杆菌BSI分离株。方法:分析了2010年至2012年在韩国一家大学医院回收的187株BSI分离株。使用VITEK MS和两个自动化系统获得的鉴定结果与rpoB测序结果进行了比较。结果:在分析的187株分离株中,通过rpoB测序鉴定出176种菌种:鲍曼不动杆菌组(ABG; 101鲍曼不动杆菌,43医院内芽孢杆菌,皮氏不动杆菌10个菌株)是最常见的(82.4%),其次是不动杆菌基因组物种13BJ / 14TU(5.3%),乌氏曲霉(2.1%),土壤曲霉(2.1%),beraziniae(1.1%)和曲霉(1.1%)。在三个系统中,对物种组(ABG)级别或物种级别的正确识别率相当(VITEK MS,90.3%; VITEK 2,89.2%; MicroScan,86.9%)。但是,VITEK MS产生的错误识别(0.6%)少于VITEK 2(10.8%)和MicroScan(13.1%)(PP结论):VITEK MS系统在鉴定不动杆菌BSI分离物方面优于VITEK 2和MicroScan系统。 ABG和非ABG分离株之间的错误识别和更好的区分。

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