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Leapfrogging laboratories: the promise and pitfalls of high-tech solutions for antimicrobial resistance surveillance in low-income settings
  1. Iruka N Okeke1,
  2. Nicholas Feasey2,
  3. Julian Parkhill3,
  4. Paul Turner4,
  5. Direk Limmathurotsakul5,
  6. Pantelis Georgiou6,
  7. Alison Holmes7,
  8. Sharon J Peacock8
  1. 1Department of Pharmaceutical Microbiology, University of Ibadan, Ibadan, Nigeria
  2. 2The Malawi Liverpool Wellcome Trust Clinical Research Programme, Blantyre, Malawi
  3. 3Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
  4. 4Cambodia Oxford Medical Research Unit, Angkor Hospital for Children, Siem Reap, Cambodia
  5. 5Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
  6. 6Department of Electrical and Electronic Engineering, Imperial College London, London, UK
  7. 7National Centre for Infection Prevention and Management, Faculty of Medicine, Imperial College London, London, UK
  8. 8Department of Medicine, University of Cambridge, Cambridge, UK
  1. Correspondence to Professor Iruka N Okeke; iruka.n.okeke{at}gmail.com

Abstract

The scope and trajectory of today’s escalating antimicrobial resistance (AMR) crisis is inadequately captured by existing surveillance systems, particularly those of lower income settings. AMR surveillance systems typically collate data from routine culture and susceptibility testing performed in diagnostic bacteriology laboratories to support healthcare. Limited access to high quality culture and susceptibility testing results in the dearth of AMR surveillance data, typical of many parts of the world where the infectious disease burden and antimicrobial need are high. Culture and susceptibility testing by traditional techniques is also slow, which limits its value in infection management. Here, we outline hurdles to effective resistance surveillance in many low-income settings and encourage an open attitude towards new and evolving technologies that, if adopted, could close resistance surveillance gaps. Emerging advancements in point-of-care testing, laboratory detection of resistance through or without culture, and in data handling, have the potential to generate resistance data from previously unrepresented locales while simultaneously supporting healthcare. Among them are microfluidic, nucleic acid amplification technology and next-generation sequencing approaches. Other low tech or as yet unidentified innovations could also rapidly accelerate AMR surveillance. Parallel advances in data handling further promise to significantly improve AMR surveillance, and new frameworks that can capture, collate and use alternate data formats may need to be developed. We outline the promise and limitations of such technologies, their potential to leapfrog surveillance over currently available, conventional technologies in use today and early steps that health systems could take towards preparing to adopt them.

  • other diagnostic or tool
  • epidemiology
  • health systems
  • medical microbiology
  • other infection
  • disease
  • disorder
  • or injury
http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Footnotes

  • Handling editor Seye Abimbola

  • Twitter @iruka_okeke

  • Collaborators Surveillance and Epidemiology of Drug-resistant Infections Consortium (SEDRIC)

  • Contributors INO, SP, DL, JP, AH and NF co-conceived the article at a Surveillance and Epidemiology of Drug-resistant Infections Consortium (SEDRIC) meeting. INO, NF, DL, JP, PT and GP wrote significant portions of the text. The manuscript’s content was honed by co-author discussions at further meetings, including the SEDRIC annual conference by INO, NF, SP, DL, JP, AH, and PT. INO made the initial synthetic draft, with significant input from INO, NF, DL, JP and SP. INO, NF, SP, DL, JP, AH, PT and GP edited drafts and approved the final version.

  • Funding The Wellcome Drug Resistant Infection Priority Programme supports the Surveillance and Epidemiology of Drug-resistant Infections Consortium (SEDRIC). I. N. O. is an African Research Leader supported by the UK Medical Research Council (MRC) and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement that is also part of the EDCTP2 programme supported by the EU. The funders had no involvement in the content, writing or submission of this paper.

  • Competing interests JP reports personal fees from NextGen Diagnostic, outside the submitted work; other authors have no competing interests to declare.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer-reviewed.

  • Data availability statement There are no data in this work.