Comparison of Matrix-assisted Laser Desorption Ionization Time-of-flight Mass Spectrometry (MALDI-TOF MS) and the Vitek 2 System for Routine Identification of Clinically Relevant Bacteria and Yeast

Elvira Garza-González, Adrián Camacho-Ortíz, Eduardo Rodríguez-Noriega, Sergio Esparza-Ahumada, Samantha Flores-Treviño, Paola Bocanegra-Ibarias, Laura Tijerina-Rodríguez, Rayo Morfín-Otero

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

OBJECTIVE: In this study, we compared the observed agreement and correlation of the Vitek 2 system with the biomarker-based MALDI-TOF MS identification results of bacteria and yeast on a routine basis. METHODS: Clinical isolates collected from two years were included. Isolates were identified using the Vitek 2 system and MALDI-TOF MS. The percent of observed agreements and the kappa coefficient (κ) with its corresponding 95% interval confidence were calculated between both results. When species-level biotyper identifications matched a member of a group, complex, or one of the species of a slashing call, the identification was considered correct for agreement calculations. RESULTS: The 4,238 recruited isolates included 2,669 gram-negative bacteria, 1,479 gram-positive bacteria, and 90 yeast. Among gram-negative bacteria, the most frequent species identified were Escherichia coli (κ=0.983), Acinetobacter baumannii complex (κ=0.979), Klebsiella pneumoniae (κ=0.972), and Pseudomonas aeruginosa (κ=0.970). Among Staphylococcal species, Staphylococcus aureus was the most frequently species detected (κ=0.986), followed by S. epidermidis (κ=0.904). For enterococcal species, Enterococcus faecalis (κ=0.882) and Enterococcus faecium (κ=0.849) were the most frequently detected. For yeasts, the more common species were Candida albicans (κ=0.888), followed by Candida tropicalis (κ=0.946) and Candida glabrata (κ=1.000). CONCLUSIONS: According to our results, when antimicrobial susceptibility tests are performed using Vitek 2 cards, the most common pathogens are correctly identified for the most frequent clinical isolates.

Original languageEnglish
Pages (from-to)119-127
Number of pages9
JournalAnnals of Clinical and Laboratory Science
Volume50
Issue number1
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 by the Association of Clinical Scientists, Inc.

All Science Journal Classification (ASJC) codes

  • General Medicine

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