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Comparative analysis of IR-Biotyper, MLST, cgMLST, and WGS for clustering of vancomycin-resistant Enterococcus
1Departments of Laboratory Medicine, Keimyung University School of Medicine, Daegu, South Korea.
Abstract:
Healthcare-associated infections caused by vancomycin-resistant Enterococcus faecium (VREFM) pose a significant threat to healthcare. Confirming the relatedness of the bacterial isolates from different patients is challenging. We aimed to assess the efficacy of IR-Biotyper, multilocus sequencing typing (MLST), and core-genome MLST (cgMLST) in comparison with whole-genome sequencing (WGS) for outbreak confirmation in the neonatal intensive care unit (NICU). Twenty VREFM isolates from four neonates and ten control isolates from unrelated patients were analyzed. Genomic DNA extraction, MLST, cgMLST, and WGS were performed. An IR-Biotyper was used with colonies obtained after 24 h of incubation on tryptic soy agar supplemented with 5% sheep blood. The optimal clustering cutoff for the IR-Biotyper was determined by comparing the results with WGS. Clustering concordance was assessed using the adjusted Rand and Wallace indices. MLST and cgMLST identified sequence types (ST) and complex types (CT), revealing suspected outbreak isolates with a predominance of ST17 and CT6553, were confirmed by WGS. For the IR-Biotyper, the proposed optimal clustering cut-off range was 0.106-0.111. Despite lower within-run precision, of the IR-Biotyper, the clustering concordance with WGS was favorable, meeting the criteria for real-time screening. This study confirmed a nosocomial outbreak of VREFM in the NICU using an IR-Biotyper, showing promising results compared to MLST. Although within-run precision requires improvement, the IR-Biotyper demonstrated high discriminatory power and clustering concordance with WGS. These findings suggest its potential as a real-time screening tool for the detection of VREFM-related nosocomial outbreaks.
Importance:
In this study, we evaluated the performance of the IR-Biotyper in detecting nosocomial outbreaks caused by vancomycin-resistant Enterococcus faecium, comparing it with MLST, cgMLST, and WGS. We proposed a cutoff that showed the highest concordance compared to WGS and assessed the within-run precision of the IR-Biotyper by evaluating the consistency in genetically identical strain when repeated in the same run.
Insights
The IR-Biotyper effectively identified vancomycin-resistant Enterococcus faecium outbreaks in NICU settings. This tool shows promise for real-time screening of healthcare-associated infections, offering favorable concordance with whole-genome sequencing.
Area of Science:
- Microbiology and Infectious Diseases
- Genomic Epidemiology
- Healthcare Epidemiology
Background:
- Healthcare-associated infections (HAIs) caused by vancomycin-resistant Enterococcus faecium (VREFM) present a significant clinical challenge.
- Accurate and rapid determination of bacterial isolate relatedness is crucial for effective outbreak management in healthcare settings.
- Neonatal intensive care units (NICUs) are particularly vulnerable to VREFM outbreaks due to susceptible patient populations.
Purpose of the Study:
- To evaluate the efficacy of the IR-Biotyper for confirming VREFM nosocomial outbreaks in a NICU setting.
- To compare the performance of IR-Biotyper against established methods like multilocus sequencing typing (MLST), core-genome MLST (cgMLST), and whole-genome sequencing (WGS).
- To determine an optimal clustering cutoff for the IR-Biotyper and assess its within-run precision.
Main Methods:
- Analysis of twenty VREFM isolates from four neonates and ten control isolates using IR-Biotyper, MLST, cgMLST, and WGS.
- IR-Biotyper analysis performed on bacterial colonies after 24-hour incubation.
- Determination of optimal IR-Biotyper clustering cutoff by comparing results with WGS data; assessment of clustering concordance using adjusted Rand and Wallace indices.
Main Results:
- MLST and cgMLST identified sequence types and complex types consistent with a VREFM outbreak, predominantly ST17 and CT6553, which were confirmed by WGS.
- The proposed optimal clustering cutoff range for the IR-Biotyper was determined to be 0.106-0.111.
- Despite lower within-run precision, the IR-Biotyper demonstrated favorable clustering concordance with WGS, meeting criteria for real-time screening and showing high discriminatory power.
Conclusions:
- The IR-Biotyper successfully confirmed a nosocomial VREFM outbreak in a NICU, demonstrating promising results compared to MLST.
- The IR-Biotyper shows potential as a valuable real-time screening tool for detecting VREFM-related nosocomial outbreaks.
- Further improvements in within-run precision are recommended for the IR-Biotyper, but its high discriminatory power and concordance with WGS are significant advantages.
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