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Integrated Antibiotic Resistance Surveillance: Importance of Harmonization and Quality Assurance of Antibiotic Susceptibility Testing


Affiliations
1 Department of Veterinary Public Health and Epidemiology, DGCN College of Veterinary and Animal Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur 176 062, India
 

Antibiotic resistance (AR) is an underestimated emerging One Health problem. Surveillance systems are the core components of AR management programmes. Integrated harmonized surveillance programmes with active watchfulness on the use of antimicrobials and trends of resistance in bacteria of human, animal and environmental origin are required for exact estimation of the true burden of AR. Harmonized surveillance programmes follow uniformity in antibiotic susceptibility testing protocols, targeted bacterial species, tested antimicrobials, reporting clinical limits, susceptibility interpretation criteria and use of control strains. Harmonization of AR surveillance programmes is crucial for reliable data generation and comparison of AR data at regional, national and global levels. Data generated by such programmes can be used to formulate empirical treatment guidelines and policies for the effective management of AR. Standardization of antibiotic susceptibility testing by adopting quality assurance and quality control programmes is essential for generating valid and reliable data under AR surveillance programmes.

Keywords

Antibiotic Resistance, One Health, Quality Control, Surveillance Systems.
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  • Murray, C. L. (Antimicrobial Resistance Collaborators), Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet, 2022, 399, 629–655.
  • Payumo, J. et al., Next generation of AMR network. Encyclopedia, 2021, 1, 871–892.
  • World Health Organization, Antimicrobial resistance, 2023; https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance
  • Larsson, D. G. J. and Flach, C. F., Antibiotic resistance in environment. Nat. Rev. Microbiol., 2022, 20, 257–269.
  • Martínez, J. L., Bottlenecks in the transferability of antibiotic resistance from natural ecosystems to human bacterial pathogens. Front. Microbiol., 2012, 2, 265; doi:10.3389/fmicb.2011.00265
  • Davies, J. E., Origins, acquisition and dissemination of antibiotic resistance determinants. Ciba Found. Symp., 1997, 207, 15–27.
  • Munita, J. M. and Arias, C. A., Mechanisms of antibiotic resistance. Microbiol. Spectr., 2016, 4, 10.1128/microbiolspec.VMBF-0016-2015; 10.1128/microbiolspec.VMBF-0016-2015.
  • Van Boeckel, T. P. et al., Reducing antimicrobial use in food animals. Science, 2017, 357, 1350–1352.
  • Tiseo, K., Huber, L., Gilbert, M., Robinson, T. P. and Van Boeckel T. P., Global trends in antimicrobial use in food animals from 2017 to 2030. Antibiotics (Basel), 2020, 9, 918; doi:10.3390/antibiotics-9120918.10
  • Pokharel, S., Shrestha, P. and Adhikari, B., Antimicrobial use in food animals and human health: time to implement ‘One Health’ approach. Antimicrob. Resist. Infect. Control, 2020, 9, 181; doi: 10.1186/s13756-020-00847-x
  • Cycon, M., Mrozik, A. and Piotrowska-Seget, Z., Antibiotics in the soil environment – degradation and their impact on microbial activity and diversity. Front. Microbiol., 2019, 10, 338; doi:10.3389/fmicb.2019.00338
  • Gullbeg, E. et al., Selection of resistant bacteria at very low antibiotic concentrations. PLoS Pathog., 2011, 7, e1002158; https://doi.org/10.1371/journal.ppat.1002158
  • Checcucci, A. et al., Exploring the animal waste resistome: the spread of antimicrobial resistance genes through the use of livestock manure. Front. Microbiol., 2020, 11, 1416; doi:10.3389/fmicb.2020.01416
  • Mladenovic-Antic, S. et al., Correlation between antimicrobial consumption and antimicrobial resistance of Pseudomonas aeruginosa in a hospital setting: a 10-year study. J. Clin. Pharm. Ther., 2016, 41, 532–537.
  • Roux, D. et al., Fitness cost of antibiotic susceptibility during bacterial infection. Sci. Transl. Med., 2015, 7, 297ra114; doi:10.1126/scitranslmed.aab1621
  • Thakur, S. D. and Panda, A. K., Rationale use of antimicrobials in animal production: a prerequisite to stem the tide of antimicrobial resistance. Curr. Sci., 2017, 113, 1846–1857.
  • Van Boeckel, T. P. et al., Global trends in antimicrobial use in food animals. Proc. Natl. Acad. Sci. (USA), 2015, 112, 5649–5654.
  • Dutescu, I. A. and Hillier, S. A., Encouraging the development of new antibiotics: are financial incentives the right way forward? A systematic review and case study. Infect. Drug Resist., 2021, 14, 415–434; doi:10.2147/IDR.S287792
  • Klug, D. M. et al., There is no market for new antibiotics: this allows an open approach to research and development. Wellcome Open Res., 2021, 6, 146; doi:10.12688/wellcomeopenres.16847.1
  • Bennet, M. F. and Young, T., The PASTEUR Act. 2021; https://www.bennet.senate.gov/public/_cache/files/c/2/c2068e9f-8440-4960-86f4-acdd13145430/513C16806B1E8526E9F919EA7A72A004.past-eur-act---one-pager-1-.pdf
  • Gotham, D., Moja, L., van der Heijden, M., Paulin, S., Smith, I. and Beyer, P., Reimbursement models to tackle market failures for anti-microbials: approaches taken in France, Germany, Sweden, the United Kingdom, and the United States. Health Policy, 2021, 125, 296–306.
  • Boluarte, T. and Schulze, U., The case for a subscription model to tackle antimicrobial resistance, 2022; https://www.bcg.com/publications/2022/model-for-tackling-antimicrobial-resistance
  • World Health Organization, Antibacterial agents in clinical and preclinical development: an overview and analysis. World Health Organization, Geneva, 2022.
  • Iskandar, K. et al., Surveillance of antimicrobial resistance in low-and middle-income countries: a scattered picture. Antimicrob. Resist. Infect. Control, 2021, 10, 63; doi:10.1186/s13756-021-00931-w
  • Hay, S. I. et al., Measuring and mapping the global burden of anti-microbial resistance. BMC Med., 2018, 16, 78; doi:10.1186/s12916-018-1073-z
  • Thrushfield, M. (ed.), Survillience. In Veterinary Epidemiology, Blackwell Science Ltd, Oxford, UK, 2007, pp. 168–186.
  • Lewis, D., Antimicrobial resistance surveillance: methods will depend on objectives. J. Antimicrob. Chemother., 2002, 49, 3–5.
  • Diallo, O. O. et al., Antibiotic resistance surveillance systems: a review. J. Glob. Antimicrob. Resist., 2020, 23, 430–438.
  • Dunne, E. F. et al., Emergence of domestically acquired ceftriax-one-resistant Salmonella infections associated with AmpC β-lactamase. JAMA, 2000, 284, 3151–3156.
  • World Health Organization, Global antimicrobial resistance and use surveillance system (GLASS), 2022; https://www.who.int/initiatives/glass
  • World Organization for Animal Health, Harmonisation of national antimicrobial resistance surveillance and monitoring programmes. In Terrestrial Animal Health Code, 2022; https://www.woah.org/fileadmin/Home/eng/Health_standards/tahc/current/chapitre_anti-bio_harmonisation.pdf
  • World Health Organization, Surveillance standards for antimicrobial resistance. WHO/CDS/CSR/DRS/2001.5, 2002; http://apps.who.int/iris/bitstream/handle/10665/67426/WHO_CDS_CSR_DRS_2001;5.pdf;jsessionid=17B1B2F5C7F868F6AE97E4DA9B1900B1?sequence=1
  • Queenan, K., Häsler, B. and Rushton J., A One Health approach to antimicrobial resistance surveillance: is there a business case for it? Int. J. Antimicrob. Agents, 2016, 48, 422–427.
  • World Health Organization, Integrated surveillance of antimicrobial resistance in food borne bacteria: application of a one health approach: guidance from the WHO Advisory Group on Integrated Surveillance of Antimicrobial Resistance (AGISAR), World Health Organization, 2017; https://apps.who.int/iris/handle/10665/255747
  • Zinsstag, J., Schelling, E., Waltner-Toews, D. and Tanner, M., From’ One Medicine’ to’ One Health’ and systemic approaches to health and well-being. Prev. Vet. Med., 2011, 101, 148–156.
  • World Health Organization, Global action plan on antimicrobial resistance, 2015; file:///C:/Users/admin/Downloads/9789241509763_eng.pdf
  • Clinical Laboratory Standards Institute, Performance standards for antimicrobial susceptibility testing. CLSI supplement M-100. Clinical and Laboratory Standards Institute, Wayne, Pennsylvania, USA, 2013, 30th edn.
  • The European Committee on Antimicrobial Susceptibility Testing, Breakpoint tables for interpretation of MICs and zone diameters. Version 12.0, 2022; http://www.eucast.org
  • Cusack, T. P. et al., Impact of CLSI and EUCAST breakpoint discrepancies on reporting of antimicrobial susceptibility and AMR surveillance. Clin. Microbiol. Infect., 2019, 25, 910–911.
  • Kahlmeter, G. and Brown, D. F., Resistance surveillance studies-comparability of results and quality assurance of methods. J. Anti-microb. Chemother., 2002, 50, 775–777.
  • Sawatzky, P. et al., Quality assurance for antimicrobial susceptibility testing of Neisseria gonorrhoeae in Canada, 2003 to 2012. J. Clin. Microbiol., 2015, 53, 3646–3649.
  • Tenover, F. C., Mohammed, M. J., Stelling, J., O’Brien, T. and Williams, R., Ability of laboratories to detect emerging antimicrobial resistance: proficiency testing and quality control results from the World Health Organizations external quality assurance system for anti-microbial susceptibility testing. J. Clin. Microbiol., 2001, 39, 241–250.
  • Chaitram, J. M., Jevitt, L. A., Lary, S., Tenover, F. C. and WHO Antimicrobial Resistance Group, The World Health Organizations external quality assurance system proficiency testing program has improved the accuracy of antimicrobial susceptibility testing and reporting among participating laboratories using NCCLS methods. J. Clin. Microbiol., 2003, 41, 2372–2377.
  • Karatuna, O., Quality assurance in antimicrobial susceptibility testing. In Latest Research into Quality Control (ed. Akyar, I.), IntechOpen, 2012; https://www.intechopen.com/books/3276
  • Bayot, M. L. and Bragg, B. N., Antimicrobial susceptibility testing. In StatPearls (Internet), 2022, Treasure Island (FL), StatPearls Publishing, Tampa, Florida, USA, 2022.
  • Steers, E., Foly, E. L., Graves, B. S. and Leder, J., Inocula replicating apparatus for routine testing of bacterial susceptibility to anti-biotics. Antibiot. Chemother., 1959, 9, 307–311.
  • King, A. and Brown, D. F., Quality assurance of antimicrobial susceptibility testing by disc diffusion. J. Antimicrob. Chemother., 2001, 48(Suppl. 1), 71–76.
  • Unemo, M. et al., The novel 2016 WHO Neisseria gonorrhoeae reference strains for global quality assurance of laboratory investigations: phenotypic, genetic and reference genome characterization. J. Antimicrob. Chemother., 2016, 71, 3096–3108.
  • Thorington, R. et al., Antimicrobial susceptibilities of Neisseria gonorrhoeae in Canada, 2020. Canada Communicable Disease Report, 2022, 48, 571–579.
  • Dillon, J. R., Trecker, M. and Thakur, S. D., Two decades of gonococcal antimicrobial surveillance program in South America and the Caribbean. Sex. Transm. Infect., 2013, 89, iv36–iv41.
  • Sawatzky, P. et al., Quality assurance for antimicrobial susceptibility testing of Neisseria gonorrhoeae in Latin American and Caribbean countries, 2013 to 2015. Sex. Transm. Infect., 2018, 94, 479–482.
  • World Health Organization, Global Antimicrobial Resistance Surveillance System. 2023; https://www.who.int/initiatives/glass
  • European Centre for Disease Prevention and Control, European Antimicrobial Resistance Surveillance Network (EARS-Net). 2023; https://www.ecdc.europa.eu/en/about-us/networks/disease-networks-and-laboratory-networks/ears-net-data
  • World Health Organization, Central Asian and European Surveillance of Antimicrobial Resistance (CAESAR). 2023; https://www.who.int/europe/groups/central-asian-and-european-surveillance-of-antimicrobial-resistance-(caesar).
  • Pan American Health Organization, Latin American and Caribbean Network for Antimicrobial Resistance Surveillance – ReLAVRA+. 2023; https://www.paho.org/en/topics/antimicrobial-resistance/latin-american-and-caribbean-network-antimicrobial-resistance
  • Centers of Disease Control and Prevention, National Antimicrobial Resistance Monitoring System for Enteric Bacteria (NARMS), 2023; https://www.cdc.gov/narms/index.html
  • Centers of Disease Control and Prevention, CDC’s Antimicrobial Resistance (AR) Laboratory Networks, 2021; https://www.cdc.gov/drugresistance/laboratories.html
  • Otto, S. J. G., Haworth-Brockman, M., Miazga-Rodriguez, M., Wierzbowski, A. and Saxinger, L. M., Integrated surveillance of anti-microbial resistance and antimicrobial use: evaluation of the status in Canada (2014–2019). Can. J. Public Health, 2022, 113, 11–22.
  • Walia, K. et al., Establishing antimicrobial resistance surveillance and research network in India: journey so far. Indian J. Med. Res., 2019, 149, 164–179.
  • Indian Council of Medical Research, Antimicrobial resistance research and surveillance network. Annual report January 2021 to December 2021, 2022; https://main.icmr.nic.in/sites/default/files/upload_documents/AMR_Annual_Report_2 021.pdf
  • Vijay, S. et al., An integrated surveillance network for antimicrobial resistance, India. Bull. World Health Organ., 2021, 99, 562–571.
  • Rathore, G., Lal, K. K., Bhatia, R. and Jenna, J. K., INFAAR – a research platform for accelerating laboratory-based surveillance of antimicrobial resistance in fisheries and aquaculture in India. Curr. Sci., 2020, 119, 1884–1885.

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  • Integrated Antibiotic Resistance Surveillance: Importance of Harmonization and Quality Assurance of Antibiotic Susceptibility Testing

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Authors

Sidharath Dev Thakur
Department of Veterinary Public Health and Epidemiology, DGCN College of Veterinary and Animal Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur 176 062, India
Kavita Rana
Department of Veterinary Public Health and Epidemiology, DGCN College of Veterinary and Animal Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur 176 062, India
Maansi Soodan
Department of Veterinary Public Health and Epidemiology, DGCN College of Veterinary and Animal Sciences, Chaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur 176 062, India

Abstract


Antibiotic resistance (AR) is an underestimated emerging One Health problem. Surveillance systems are the core components of AR management programmes. Integrated harmonized surveillance programmes with active watchfulness on the use of antimicrobials and trends of resistance in bacteria of human, animal and environmental origin are required for exact estimation of the true burden of AR. Harmonized surveillance programmes follow uniformity in antibiotic susceptibility testing protocols, targeted bacterial species, tested antimicrobials, reporting clinical limits, susceptibility interpretation criteria and use of control strains. Harmonization of AR surveillance programmes is crucial for reliable data generation and comparison of AR data at regional, national and global levels. Data generated by such programmes can be used to formulate empirical treatment guidelines and policies for the effective management of AR. Standardization of antibiotic susceptibility testing by adopting quality assurance and quality control programmes is essential for generating valid and reliable data under AR surveillance programmes.

Keywords


Antibiotic Resistance, One Health, Quality Control, Surveillance Systems.

References





DOI: https://doi.org/10.18520/cs%2Fv125%2Fi3%2F268-276