Clinical Implementation of Routine Whole-genome Sequencing for Hospital Infection Control of Multi-drug Resistant Pathogens. (3rd September 2022)

• Record Type: Journal Article
• Authors: Forde, Brian M; Bergh, Haakon; Cuddihy, Thom; Hajkowicz, Krispin; Hurst, Trish; Playford, E Geoffrey; Henderson, Belinda C; Runnegar, Naomi; Clark, Julia; Jennison, Amy V; Moss, Susan; Hume, Anna; Leroux, Hugo; Beatson, Scott A; Paterson, David L; Harris, Patrick N A
• Is Part Of: Clinical infectious diseases. Volume 76:Number 3(2023)
• Page Start: e1277
• Page End: e1284
• Publication Date: 2022-09-03
• Subjects: whole genome sequencing -- infection prevention and control -- multi-resistant organisms -- healthcare-associated infections -- clinical implementation; Communicable diseases -- Periodicals; 616.905
• DOI: 10.1093/cid/ciac726
• Languages: English
• ISSNs: 1058-4838

Abstract

Abstract: Background: Prospective whole-genome sequencing (WGS)-based surveillance may be the optimal approach to rapidly identify transmission of multi-drug resistant (MDR) bacteria in the healthcare setting. Methods: We prospectively collected methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), carbapenem-resistant Acinetobacter baumannii (CRAB), extended-spectrum beta-lactamase (ESBL-E), and carbapenemase-producing Enterobacterales (CPE) isolated from blood cultures, sterile sites, or screening specimens across three large tertiary referral hospitals (2 adult, 1 paediatric) in Brisbane, Australia. WGS was used to determine in silico multi-locus sequence typing (MLST) and resistance gene profiling via a bespoke genomic analysis pipeline. Putative transmission events were identified by comparison of core genome single nucleotide polymorphisms (SNPs). Relevant clinical meta-data were combined with genomic analyses via customised automation, collated into hospital-specific reports regularly distributed to infection control teams. Results: Over 4 years (April 2017 to July 2021) 2660 isolates were sequenced. This included MDR gram-negative bacilli (n = 293 CPE, n = 1309 ESBL), MRSA (n = 620), and VRE (n = 433). A total of 379 clinical reports were issued. Core genome SNP data identified that 33% of isolates formed 76 distinct clusters. Of the 76 clusters, 43 were contained to the 3 target hospitals, suggesting ongoing transmission within the clinical environment. The remaining 33 clusters represented possible inter-hospital transmission events or strains circulating in the community. In 1 hospital, proven negligible transmission of non-multi-resistant MRSA enabled changes to infection control policy. Conclusions: Implementation of routine WGS for MDR pathogens in clinical laboratories is feasible and can enable targeted infection prevention and control interventions. Abstract : We initiated a program of routine sequencing of multi-drug resistant organisms. A custom analysis pipeline was used to automate reporting by incorporating clinical meta-data with genomics to define clusters and support infection control interventions.