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PathoSPOT genomic epidemiology reveals under-the-radar nosocomial outbreaks.

Authors :
Berbel Caban A
Pak TR
Obla A
Dupper AC
Chacko KI
Fox L
Mills A
Ciferri B
Oussenko I
Beckford C
Chung M
Sebra R
Smith M
Conolly S
Patel G
Kasarskis A
Sullivan MJ
Altman DR
van Bakel H
Source :
Genome medicine [Genome Med] 2020 Nov 16; Vol. 12 (1), pp. 96. Date of Electronic Publication: 2020 Nov 16.
Publication Year :
2020

Abstract

Background: Whole-genome sequencing (WGS) is increasingly used to map the spread of bacterial and viral pathogens in nosocomial settings. A limiting factor for more widespread adoption of WGS for hospital infection prevention practices is the availability of standardized tools for genomic epidemiology.<br />Methods: We developed the Pathogen Sequencing Phylogenomic Outbreak Toolkit (PathoSPOT) to automate integration of genomic and medical record data for rapid detection and tracing of nosocomial outbreaks. To demonstrate its capabilities, we applied PathoSPOT to complete genome surveillance data of 197 MRSA bacteremia cases from two hospitals during a 2-year period.<br />Results: PathoSPOT identified 8 clonal clusters encompassing 33 patients (16.8% of cases), none of which had been recognized by standard practices. The largest cluster corresponded to a prolonged outbreak of a hospital-associated MRSA clone among 16 adults, spanning 9 wards over a period of 21 months. Analysis of precise timeline and location data with our toolkit suggested that an initial exposure event in a single ward led to infection and long-term colonization of multiple patients, followed by transmissions to other patients during recurrent hospitalizations.<br />Conclusions: We demonstrate that PathoSPOT genomic surveillance enables the detection of complex transmission chains that are not readily apparent from epidemiological data and that contribute significantly to morbidity and mortality, enabling more effective intervention strategies.

Details

Language :
English
ISSN :
1756-994X
Volume :
12
Issue :
1
Database :
MEDLINE
Journal :
Genome medicine
Publication Type :
Academic Journal
Accession number :
33198787
Full Text :
https://doi.org/10.1186/s13073-020-00798-3