BACKGROUND: The objective of this study was to identify sources and linkages among methicillin-resistant Staphylococcus aureus infections using whole-genome sequencing (WGS). METHODS: A total of 56 samples were obtained from all patients with a confirmed MRSA infection over 6 months at University of Florida-Health Jacksonville. Samples were cultured and sequenced; data was analyzed on an automated cloud-based platform. Genetic Clusters were defined as <40 single nucleotide polymorphisms. Temporal Clusters were defined as ≥5 MRSA cases over 3 days. RESULTS: We found 7 Genetic Clusters comprising 15 samples. Four Genetic Clusters contained patients with non-overlapping stays (3-10 weeks apart), 3 of which contained patients who shared the same Unit. We also found 5 Temporal Clusters comprising 23 samples, although none of the samples were genetically related. DISCUSSION: Results showed that temporal clustering may be a poor indicator of genetic linkage. Shared epidemiological characteristics between patients in Genetic Clusters may point toward previously unidentified hospital sources. Repeated observation of related strains is also consistent with ongoing MRSA transmission within the surrounding high-risk community. CONCLUSIONS: WGS is a valuable tool for hospital infection prevention and control.
BACKGROUND: The objective of this study was to identify sources and linkages among methicillin-resistant Staphylococcus aureus infections using whole-genome sequencing (WGS). METHODS: A total of 56 samples were obtained from all patients with a confirmed MRSA infection over 6 months at University of Florida-Health Jacksonville. Samples were cultured and sequenced; data was analyzed on an automated cloud-based platform. Genetic Clusters were defined as <40 single nucleotide polymorphisms. Temporal Clusters were defined as ≥5 MRSA cases over 3 days. RESULTS: We found 7 Genetic Clusters comprising 15 samples. Four Genetic Clusters contained patients with non-overlapping stays (3-10 weeks apart), 3 of which contained patients who shared the same Unit. We also found 5 Temporal Clusters comprising 23 samples, although none of the samples were genetically related. DISCUSSION: Results showed that temporal clustering may be a poor indicator of genetic linkage. Shared epidemiological characteristics between patients in Genetic Clusters may point toward previously unidentified hospital sources. Repeated observation of related strains is also consistent with ongoing MRSA transmission within the surrounding high-risk community. CONCLUSIONS: WGS is a valuable tool for hospital infection prevention and control.
Authors: Alexander J Sundermann; Jieshi Chen; Praveen Kumar; Ashley M Ayres; Shu Ting Cho; Chinelo Ezeonwuka; Marissa P Griffith; James K Miller; Mustapha M Mustapha; A William Pasculle; Melissa I Saul; Kathleen A Shutt; Vatsala Srinivasa; Kady Waggle; Daniel J Snyder; Vaughn S Cooper; Daria Van Tyne; Graham M Snyder; Jane W Marsh; Artur Dubrawski; Mark S Roberts; Lee H Harrison Journal: Clin Infect Dis Date: 2022-08-31 Impact factor: 20.999
Authors: Susanna L Lamers; David J Nolan; Tessa M LaFleur; Benjamin N Lain; Samual R Moot; Christopher R Huston; Chad D Neilsen; Amy K Feehan; Lucio Miele; Rebecca Rose Journal: Am J Infect Control Date: 2022-05-20 Impact factor: 4.303