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

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 inf...

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Autores principales: Charalampous, Themoula, Alcolea-Medina, Adela, Snell, Luke B., Williams, Tom G. S., Batra, Rahul, Alder, Christopher, Telatin, Andrea, Camporota, Luigi, Meadows, Christopher I. S., Wyncoll, Duncan, Barrett, Nicholas A., Hemsley, Carolyn J., Bryan, Lisa, Newsholme, William, Boyd, Sara E., Green, Anna, Mahadeva, Ula, Patel, Amita, Cliff, Penelope R., Page, Andrew J., O’Grady, Justin, Edgeworth, Jonathan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594956/
https://www.ncbi.nlm.nih.gov/pubmed/34784976
http://dx.doi.org/10.1186/s13073-021-00991-y
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author Charalampous, Themoula
Alcolea-Medina, Adela
Snell, Luke B.
Williams, Tom G. S.
Batra, Rahul
Alder, Christopher
Telatin, Andrea
Camporota, Luigi
Meadows, Christopher I. S.
Wyncoll, Duncan
Barrett, Nicholas A.
Hemsley, Carolyn J.
Bryan, Lisa
Newsholme, William
Boyd, Sara E.
Green, Anna
Mahadeva, Ula
Patel, Amita
Cliff, Penelope R.
Page, Andrew J.
O’Grady, Justin
Edgeworth, Jonathan D.
author_facet Charalampous, Themoula
Alcolea-Medina, Adela
Snell, Luke B.
Williams, Tom G. S.
Batra, Rahul
Alder, Christopher
Telatin, Andrea
Camporota, Luigi
Meadows, Christopher I. S.
Wyncoll, Duncan
Barrett, Nicholas A.
Hemsley, Carolyn J.
Bryan, Lisa
Newsholme, William
Boyd, Sara E.
Green, Anna
Mahadeva, Ula
Patel, Amita
Cliff, Penelope R.
Page, Andrew J.
O’Grady, Justin
Edgeworth, Jonathan D.
author_sort Charalampous, Themoula
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00991-y.
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spelling pubmed-85949562021-11-17 Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units Charalampous, Themoula Alcolea-Medina, Adela Snell, Luke B. Williams, Tom G. S. Batra, Rahul Alder, Christopher Telatin, Andrea Camporota, Luigi Meadows, Christopher I. S. Wyncoll, Duncan Barrett, Nicholas A. Hemsley, Carolyn J. Bryan, Lisa Newsholme, William Boyd, Sara E. Green, Anna Mahadeva, Ula Patel, Amita Cliff, Penelope R. Page, Andrew J. O’Grady, Justin Edgeworth, Jonathan D. Genome Med Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00991-y. BioMed Central 2021-11-17 /pmc/articles/PMC8594956/ /pubmed/34784976 http://dx.doi.org/10.1186/s13073-021-00991-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Charalampous, Themoula
Alcolea-Medina, Adela
Snell, Luke B.
Williams, Tom G. S.
Batra, Rahul
Alder, Christopher
Telatin, Andrea
Camporota, Luigi
Meadows, Christopher I. S.
Wyncoll, Duncan
Barrett, Nicholas A.
Hemsley, Carolyn J.
Bryan, Lisa
Newsholme, William
Boyd, Sara E.
Green, Anna
Mahadeva, Ula
Patel, Amita
Cliff, Penelope R.
Page, Andrew J.
O’Grady, Justin
Edgeworth, Jonathan D.
Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units
title Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units
title_full Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units
title_fullStr Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units
title_full_unstemmed Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units
title_short Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units
title_sort evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded covid-19 intensive care units
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594956/
https://www.ncbi.nlm.nih.gov/pubmed/34784976
http://dx.doi.org/10.1186/s13073-021-00991-y
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