The Journal of hospital infection · 2024
Potential use of Fourier-transform infrared spectroscopy as a rapid screening tool for investigating nosocomial outbreaks of ST-80 vancomycin-resistant Enterococcus faecium.
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Wong R C W, Cheung I Y Y, Lai C K C, Yuk M T, Chow V C Y, Leung J S L, Chau N K, Konishi L K, Lee L K, Ng I C F, Tam W Y, Tong J H C, Siu G K H
Аннотация
BACKGROUND: Fourier-transform infrared (FT-IR) spectroscopy is a non-genomic, spectrum-based typing technology useful for characterizing outbreaks of multidrug-resistant organisms.
AIM: To assess the performance of FT-IR spectroscopy in characterizing ST-80 vancomycin-resistant Enterococcus faecium (VREf) isolates from a nosocomial outbreak.
METHODS: Core-genome single-nucleotide polymorphism phylogeny was used as a reference method to characterize a nosocomial outbreak caused by ST-80 VREf. It identified 22 of 25 epidemiologically related isolates as belonging to an outbreak cluster.
FINDINGS: The use of FT-IR spectroscopy with a cluster-defining cut-off of 0.071 resulted in the correct classification of 21 out of 22 phylogenetically related isolates in a single cluster. It successfully distinguished three phylogenetically unrelated isolates from the outbreak cluster, along with five ST-80-unrelated control isolates, and five isolates from a previous outbreak in May 2023, yielding only one mischaracterized environmental isolate.
CONCLUSION: These findings support the potential use of FT-IR spectroscopy as a rapid screening tool to assist outbreak investigations. Notably, this study is the first to focus on the performance of FT-IR spectroscopy in the epidemiological analysis of VREf isolates with the same sequence type.
AIM: To assess the performance of FT-IR spectroscopy in characterizing ST-80 vancomycin-resistant Enterococcus faecium (VREf) isolates from a nosocomial outbreak.
METHODS: Core-genome single-nucleotide polymorphism phylogeny was used as a reference method to characterize a nosocomial outbreak caused by ST-80 VREf. It identified 22 of 25 epidemiologically related isolates as belonging to an outbreak cluster.
FINDINGS: The use of FT-IR spectroscopy with a cluster-defining cut-off of 0.071 resulted in the correct classification of 21 out of 22 phylogenetically related isolates in a single cluster. It successfully distinguished three phylogenetically unrelated isolates from the outbreak cluster, along with five ST-80-unrelated control isolates, and five isolates from a previous outbreak in May 2023, yielding only one mischaracterized environmental isolate.
CONCLUSION: These findings support the potential use of FT-IR spectroscopy as a rapid screening tool to assist outbreak investigations. Notably, this study is the first to focus on the performance of FT-IR spectroscopy in the epidemiological analysis of VREf isolates with the same sequence type.