1887

Abstract

Current methods for antimicrobial susceptibility testing (AST) are too slow to affect initial treatment decisions in the early stages of sepsis, when the prescriber is most concerned to select effective therapy immediately, rather than finding out what will not work 1 or 2 days later. There is a clear need for much faster differentiation between viral and bacterial infection, and AST, linked to earlier aetiological diagnosis, without sacrificing either the accuracy of quantitative AST or the low cost of qualitative AST. Truly rapid AST methods are eagerly awaited, and there are several candidate technologies that aim to improve the targeting of our limited stock of effective antimicrobial agents. However, none of these technologies are approaching the point of care and nor can they be described as truly culture-independent diagnostic tests. Rapid chemical and genomic methods of resistance detection are not yet reliable predictors of antimicrobial susceptibility and often rely on prior bacterial isolation. In order to resolve the trade-off between diagnostic confidence and therapeutic efficacy in increasingly antimicrobial-resistant sepsis, we propose a series of three linked decision milestones: initial clinical assessment (e.g. qSOFA score) within 10 min, initial laboratory tests and presumptive antimicrobial therapy within 1 h, and definitive AST with corresponding antimicrobial amendment within an 8 h window (i.e. the same working day). Truly rapid AST methods therefore must be integrated into the clinical laboratory workflow to ensure maximum impact on clinical outcomes of sepsis, and diagnostic and antimicrobial stewardship. The requisite series of development stages come with a substantial regulatory burden that hinders the translation of innovation into practice. The regulatory hurdles for the adoption of rapid AST technology emphasize technical accuracy, but progress will also rely on the effect rapid AST has on prescribing behaviour by physicians managing the care of patients with sepsis. Early adopters in well-equipped teaching centres in close proximity to large clinical laboratories are likely to be early beneficiaries of rapid AST, while simplified and lower-cost technology is needed to support poorly resourced hospitals in developing countries, with their higher burden of AMR. If we really want the clinical laboratory to deliver a specific, same-day diagnosis underpinned by definitive AST results, we are going to have to advocate more effectively for the clinical benefits of bacterial detection and susceptibility testing at critical decision points in the sepsis management pathway.

Loading

Article metrics loading...

/content/journal/jmm/10.1099/jmm.0.000997
2019-07-01
2024-04-19
Loading full text...

Full text loading...

/deliver/fulltext/jmm/68/7/973.html?itemId=/content/journal/jmm/10.1099/jmm.0.000997&mimeType=html&fmt=ahah

References

  1. HM Government, London The review on Antimicrobial resistance. Tackling drug-resistant infections globally: final report and recommendations; 2016 https://amr-review.org/sites/default/files/160525_Final%20paper_with%20cover.pdf 22-Mar-19
  2. Rochford C, Sridhar D, Woods N, Saleh Z, Hartenstein L et al. Global governance of antimicrobial resistance. Lancet 2018; 391:1976–1978 [View Article]
    [Google Scholar]
  3. Mendelson M, Balasegaram M, Jinks T, Pulcini C, Sharland M. Antibiotic resistance has a language problem. Nature 2017; 545:23–25 [View Article]
    [Google Scholar]
  4. Inglis TJ, Urosevic N. Where sepsis and antimicrobial resistance countermeasures converge. Front Public Health 2017; 5:6 [View Article]
    [Google Scholar]
  5. HM Government, London The review on Antimicrobial resistance. Rapid diagnostics: stopping unnecessary use of antibiotics; 2015 https://amr-review.org/sites/default/files/Paper-Rapid-Diagnostics-Stopping-Unnecessary-Prescription-Low-Res.pdf 22-Mar-19
  6. Machiavelli N. The Prince. Transl Bull G London: Penguin Classics; 2003
    [Google Scholar]
  7. Inglis TJ, Hodge M, Ketharanathan S. A hospital-wide study of the impact of introducing a personal data assistant-augmented blood culture round. J Med Microbiol 2008; 57:43–49 [View Article]
    [Google Scholar]
  8. Inglis TJ, Bzdyl N, Chua IL, Leung MJ, Urosevic NM et al. Improved blood culture identification by FilmArray in cultures from regional hospitals compared with teaching hospital cultures. J Med Microbiol 2016; 65:56–61 [View Article]
    [Google Scholar]
  9. EUCAST EUCAST MIC and zone diameter distributions and ECOFFs. http://www.eucast.org/mic_distributions_and_ecoffs/ 20-Mar-19
  10. Kahlmeter G. The 2014 Garrod Lecture: EUCAST – are we heading towards international agreement?. J Antimicrob Chemother 2015; 70:2427–2439 [View Article]
    [Google Scholar]
  11. International Standards Organisation ISO 20776-1:2006. Clinical laboratory testing and in vitro diagnostic test systems - Susceptibility testing of infectious agents and evaluation of performance of antimicrobial susceptibility test devices - Part 1: Reference method for testing the in vitro activity of antimicrobial agents against rapidly growing aerobic bacteria involved in infectious diseases; 2006 https://www.iso.org/standard/41630.html 11-Jun-18
  12. Jorgensen JH, Ferraro MJ. Antimicrobial susceptibility testing: a review of general principles and contemporary practices. Clin Infect Dis 2009; 49:1749–1755 [View Article]
    [Google Scholar]
  13. Miller S, Humphries RM. Clinical laboratory detection of carbapenem-resistant and carbapenemase-producing Enterobacteriaceae . Expert Rev Anti Infect Ther 2016; 14:705–717 [View Article]
    [Google Scholar]
  14. Decousser JW, Poirel L, Nordmann P. Recent advances in biochemical and molecular diagnostics for the rapid detection of antibiotic-resistant Enterobacteriaceae : a focus on ß-lactam resistance. Expert Rev Mol Diagn 2017; 17:327–350 [View Article]
    [Google Scholar]
  15. Rossney AS, Herra CM, Brennan GI, Morgan PM, O’Connell B. Evaluation of the Xpert methicillin-resistant Staphylococcus aureus (MRSA) assay using the GeneXpert real-time PCR platform for rapid detection of MRSA from screening specimens. J Clin Microbiol 2008; 46:3285–3290 [View Article]
    [Google Scholar]
  16. Ellington MJ, Ekelund O, Aarestrup FM, Canton R, Doumith M et al. The role of whole genome sequencing in antimicrobial susceptibility testing of bacteria: report from the EUCAST Subcommittee. Clin Microbiol Infect 2017; 23:2–22 [View Article]
    [Google Scholar]
  17. Vasoo S. Susceptibility testing for the polymyxins: two steps back, three steps forward?. J Clin Microbiol 2017; 55:2573–2582 [View Article]
    [Google Scholar]
  18. Shetty A, Macdonald SP, Keijzers G, Williams JM, Tang B et al. Review article: Sepsis in the emergency department - Part 2: investigations and monitoring. Emerg Med Australas 2018; 30:4–12 [View Article]
    [Google Scholar]
  19. Kumar A, Zarychanski R, Light B, Parrillo J, Maki D et al. Early combination antibiotic therapy yields improved survival compared with monotherapy in septic shock: a propensity-matched analysis. Crit Care Med 2010; 38:1773–1785 [View Article]
    [Google Scholar]
  20. Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D et al. The third International consensus definitions for sepsis and septic shock (Sepsis-3). JAMA 2016; 315:801–810 [View Article]
    [Google Scholar]
  21. Crouser ED, Parrillo JE, Seymour C, Angus DC, Bicking K et al. Improved early detection of sepsis in the ED with a novel monocyte distribution width biomarker. Chest 2017; 152:518–526 [View Article]
    [Google Scholar]
  22. Sambursky R, Shapiro N. Evaluation of a combined MxA and CRP point-of-care immunoassay to identify viral and/or bacterial immune response in patients with acute febrile respiratory infection. Eur Clin Respir J 2015; 2:28245 [View Article]
    [Google Scholar]
  23. Osthoff M, Siegemund M, Balestra G, Abdul-Aziz MH, Roberts JA. Prolonged administration of beta-lactam antibiotics – a comprehensive review and critical appraisal. Swiss Med Wkly 2016; 146:w14368
    [Google Scholar]
  24. Singer M. Personalizing sepsis care. Crit Care Clin 2018; 34:153–160 [View Article]
    [Google Scholar]
  25. Bzdyl NM, Urosevic N, Payne B, Brockenshire R, McIntyre M et al. Field trials of blood culture identification FilmArray in regional Australian hospitals. J Med Microbiol 2018; 67:669–675 [View Article]
    [Google Scholar]
  26. Huang XX, Urosevic N, Inglis TJJ. Accelerated bacterial detection in blood culture by enhanced acoustic flow cytometry (AFC) following peptide nucleic acid fluorescence in situ hybridization (PNA-FISH). PLoS One 2019; 14:e0201332 [View Article]
    [Google Scholar]
  27. Dwyer DJ, Collins JJ, Walker GC. Unraveling the physiological complexities of antibiotic lethality. Annu Rev Pharmacol Toxicol 2015; 55:313–332 [View Article]
    [Google Scholar]
  28. Léonard L, Bouarab Chibane L, Ouled Bouhedda B, Degraeve P, Oulahal N. Recent advances on multi-parameter flow cytometry to characterize antimicrobial treatments. Front Microbiol 2016; 7:1225 [View Article]
    [Google Scholar]
  29. Syal K, Mo M, Yu H, Iriya R, Jing W et al. Current and emerging techniques for antibiotic susceptibility tests. Theranostics 2017; 7:1795–1805 [View Article]
    [Google Scholar]
  30. Mulroney KT, Hall JM, Huang X, Turnbull E, Bzdyl NM et al. Rapid susceptibility profiling of carbapenem-resistant Klebsiella pneumoniae . Sci Rep 2017; 7:1903 [View Article]
    [Google Scholar]
  31. Weaire-Buchanan G, Paton TJ, Kopczyk M, Mulroney KT, Hall JM et al. The ABC of AST: accelerated blood culture antimicrobial susceptibility test by flow cytometry-assisted (FAST) method. Antimicrobials 2019 Sydney, NSW, Australia
    [Google Scholar]
  32. Marschal M, Bachmaier J, Autenrieth I, Oberhettinger P, Willmann M et al. Evaluation of the accelerate Pheno system for fast identification and antimicrobial susceptibility testing from positive blood cultures in bloodstream infections caused by gram-negative pathogens. J Clin Microbiol 2017; 55:2116–2126 [View Article]
    [Google Scholar]
  33. EUCAST EUCAST guidance on rapid antimicrobial susceptibility testing in blood cultures. http://www.eucast.org/rapid_ast_in_blood_cultures/ 22/3/19
  34. French K, Evans J, Tanner H, Gossain S, Hussain A. The clinical impact of rapid, direct MALDI-TOF identification of bacteria from positive blood cultures. Plos One 2016; 11:e0169332 [View Article]
    [Google Scholar]
  35. van Belkum A, Bachmann TT, Lüdke G, Lisby JG, Kahlmeter G et al. Developmental roadmap for antimicrobial susceptibility testing systems. Nat Rev Microbiol 2018
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/jmm/10.1099/jmm.0.000997
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error