Volume 125, Issue 12 pp. 1117-1124
Original Article

Epidemiological characterization of a nosocomial outbreak of extended spectrum β-lactamase Escherichia coli ST-131 confirms the clinical value of core genome multilocus sequence typing

Hanna Woksepp

Corresponding Author

Hanna Woksepp

Department of Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden

Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden

Hanna Woksepp, Department of Clinical Microbiology, Kalmar County Hospital, S-391 85 Kalmar, Sweden. e-mail: [email protected]Search for more papers by this author
Anna Ryberg

Anna Ryberg

Department of Clinical Microbiology, Växjö Central Hospital, Växjö, Sweden

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Linda Berglind

Linda Berglind

Division of Medical Diagnostics, Region Jönköping County, Jönköping, Sweden

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Thomas Schön

Thomas Schön

Department of Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden

Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden

Department Infectious Diseases, Kalmar County Hospital, Kalmar, Sweden

Department of Clinical and Experimental Medicine, Division of Medical Microbiology, Linköping University, Linköping, Sweden

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Jan Söderman

Jan Söderman

Division of Medical Diagnostics, Region Jönköping County, Jönköping, Sweden

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First published: 28 September 2017
Citations: 6

Abstract

Enhanced precision of epidemiological typing in clinically suspected nosocomial outbreaks is crucial. Our aim was to investigate whether single nucleotide polymorphism (SNP) analysis and core genome (cg) multilocus sequence typing (MLST) of whole genome sequencing (WGS) data would more reliably identify a nosocomial outbreak, compared to earlier molecular typing methods. Sixteen isolates from a nosocomial outbreak of ESBL E. coli ST-131 in southeastern Sweden and three control strains were subjected to WGS. Sequences were explored by SNP analysis and cgMLST. cgMLST clearly differentiated between the outbreak isolates and the control isolates (>1400 differences). All clinically identified outbreak isolates showed close clustering (≥2 allele differences), except for two isolates (>50 allele differences). These data confirmed that the isolates with >50 differing genes did not belong to the nosocomial outbreak. The number of SNPs within the outbreak was ≤7, whereas the two discrepant isolates had >700 SNPs. Two of the ESBL E. coli ST-131 isolates did not belong to the clinically identified outbreak. Our results illustrate the power of WGS in terms of resolution, which may avoid overestimation of patients belonging to outbreaks as judged from epidemiological data and previously employed molecular methods with lower discriminatory ability.

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