Genome Medicine (Nov 2021)

Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units

  • Themoula Charalampous,
  • Adela Alcolea-Medina,
  • Luke B. Snell,
  • Tom G. S. Williams,
  • Rahul Batra,
  • Christopher Alder,
  • Andrea Telatin,
  • Luigi Camporota,
  • Christopher I. S. Meadows,
  • Duncan Wyncoll,
  • Nicholas A. Barrett,
  • Carolyn J. Hemsley,
  • Lisa Bryan,
  • William Newsholme,
  • Sara E. Boyd,
  • Anna Green,
  • Ula Mahadeva,
  • Amita Patel,
  • Penelope R. Cliff,
  • Andrew J. Page,
  • Justin O’Grady,
  • Jonathan D. Edgeworth

DOI
https://doi.org/10.1186/s13073-021-00991-y
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 16

Abstract

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Abstract Background Clinical metagenomics (CMg) has the potential to be translated from a research tool into routine service to improve antimicrobial treatment and infection control decisions. The SARS-CoV-2 pandemic provides added impetus to realise these benefits, given the increased risk of secondary infection and nosocomial transmission of multi-drug-resistant (MDR) pathogens linked with the expansion of critical care capacity. Methods CMg using nanopore sequencing was evaluated in a proof-of-concept study on 43 respiratory samples from 34 intubated patients across seven intensive care units (ICUs) over a 9-week period during the first COVID-19 pandemic wave. Results An 8-h CMg workflow was 92% sensitive (95% CI, 75–99%) and 82% specific (95% CI, 57–96%) for bacterial identification based on culture-positive and culture-negative samples, respectively. CMg sequencing reported the presence or absence of β-lactam-resistant genes carried by Enterobacterales that would modify the initial guideline-recommended antibiotics in every case. CMg was also 100% concordant with quantitative PCR for detecting Aspergillus fumigatus from 4 positive and 39 negative samples. Molecular typing using 24-h sequencing data identified an MDR-K. pneumoniae ST307 outbreak involving 4 patients and an MDR-C. striatum outbreak involving 14 patients across three ICUs. Conclusion CMg testing provides accurate pathogen detection and antibiotic resistance prediction in a same-day laboratory workflow, with assembled genomes available the next day for genomic surveillance. The provision of this technology in a service setting could fundamentally change the multi-disciplinary team approach to managing ICU infections. The potential to improve the initial targeted treatment and rapidly detect unsuspected outbreaks of MDR-pathogens justifies further expedited clinical assessment of CMg.