Clinically Applicable System for Rapidly Predicting Enterococcus faecium Susceptibility to Vancomycin

Clinically Applicable System for Rapidly Predicting Enterococcus faecium Susceptibility to Vancomycin

ABSTRACT Enterococcus faecium is a clinically important pathogen that can cause significant morbidity and death. In this study, we aimed to develop a machine learning (ML) algorithm-based rapid susceptibility method to distinguish vancomycin-resistant E. faecium (VREfm) and vancomycin-susceptible E....

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Bibliographic Details
Main Authors: Hsin-Yao Wang, Chia-Ru Chung, Chao-Jung Chen, Ko-Pei Lu, Yi-Ju Tseng, Tzu-Hao Chang, Min-Hsien Wu, Wan-Ting Huang, Ting-Wei Lin, Tsui-Ping Liu, Tzong-Yi Lee, Jorng-Tzong Horng, Jang-Jih Lu
Format: Article
Language:English
Published: American Society for Microbiology 2021-12-01
Series:Microbiology Spectrum
Subjects:
vancomycin-resistant Enterococcus faecium
antibacterial drug resistance
matrix-assisted laser desorption ionization–time of flight (MALDI-TOF) mass spectrometry
machine learning
rapid detection
Enterococcus faecium
Online Access:https://journals.asm.org/doi/10.1128/Spectrum.00913-21

Internet

https://journals.asm.org/doi/10.1128/Spectrum.00913-21

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