Rapid assessment of antimicrobial resistance prevalence using a Lot Quality Assurance sampling approach

F. Van Leth; C. Den Heijer; M. Beerepoot; E. Stobberingh; S. Geerlings; C. Schultsz

doi:https://doi.org/10.2217/fmb-2016-0170

Rapid assessment of antimicrobial resistance prevalence using a Lot Quality Assurance sampling approach

F. Van Leth, C. Den Heijer, M. Beerepoot, E. Stobberingh, S. Geerlings, C. Schultsz

Research output: Contribution to journal › Article › Academic › peer-review

5 Citations (Scopus)

Abstract

© 2017 Future Medicine Ltd.Aim: Increasing antimicrobial resistance (AMR) requires rapid surveillance tools, such as Lot Quality Assurance Sampling (LQAS). Materials & methods: LQAS classifies AMR as high or low based on set parameters. We compared classifications with the underlying true AMR prevalence using data on 1335 Escherichia coli isolates from surveys of community-acquired urinary tract infection in women, by assessing operating curves, sensitivity and specificity. Results: Sensitivity and specificity of any set of LQAS parameters was above 99% and between 79 and 90%, respectively. Operating curves showed high concordance of the LQAS classification with true AMR prevalence estimates. Conclusion: LQAS-based AMR surveillance is a feasible approach that provides timely and locally relevant estimates, and the necessary information to formulate and evaluate guidelines for empirical treatment.

Original language	English
Pages (from-to)	369-377
Journal	Future microbiology
Volume	12
Issue number	5
Early online date	2017
DOIs	https://doi.org/10.2217/fmb-2016-0170
Publication status	Published - 1 Apr 2017

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https://doi.org/10.2217/fmb-2016-0170

Cite this

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title = "Rapid assessment of antimicrobial resistance prevalence using a Lot Quality Assurance sampling approach",

abstract = "{\textcopyright} 2017 Future Medicine Ltd.Aim: Increasing antimicrobial resistance (AMR) requires rapid surveillance tools, such as Lot Quality Assurance Sampling (LQAS). Materials & methods: LQAS classifies AMR as high or low based on set parameters. We compared classifications with the underlying true AMR prevalence using data on 1335 Escherichia coli isolates from surveys of community-acquired urinary tract infection in women, by assessing operating curves, sensitivity and specificity. Results: Sensitivity and specificity of any set of LQAS parameters was above 99% and between 79 and 90%, respectively. Operating curves showed high concordance of the LQAS classification with true AMR prevalence estimates. Conclusion: LQAS-based AMR surveillance is a feasible approach that provides timely and locally relevant estimates, and the necessary information to formulate and evaluate guidelines for empirical treatment.",

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T1 - Rapid assessment of antimicrobial resistance prevalence using a Lot Quality Assurance sampling approach

AU - Van Leth, F.

AU - Den Heijer, C.

AU - Beerepoot, M.

AU - Stobberingh, E.

AU - Geerlings, S.

AU - Schultsz, C.

PY - 2017/4/1

Y1 - 2017/4/1

N2 - © 2017 Future Medicine Ltd.Aim: Increasing antimicrobial resistance (AMR) requires rapid surveillance tools, such as Lot Quality Assurance Sampling (LQAS). Materials & methods: LQAS classifies AMR as high or low based on set parameters. We compared classifications with the underlying true AMR prevalence using data on 1335 Escherichia coli isolates from surveys of community-acquired urinary tract infection in women, by assessing operating curves, sensitivity and specificity. Results: Sensitivity and specificity of any set of LQAS parameters was above 99% and between 79 and 90%, respectively. Operating curves showed high concordance of the LQAS classification with true AMR prevalence estimates. Conclusion: LQAS-based AMR surveillance is a feasible approach that provides timely and locally relevant estimates, and the necessary information to formulate and evaluate guidelines for empirical treatment.

AB - © 2017 Future Medicine Ltd.Aim: Increasing antimicrobial resistance (AMR) requires rapid surveillance tools, such as Lot Quality Assurance Sampling (LQAS). Materials & methods: LQAS classifies AMR as high or low based on set parameters. We compared classifications with the underlying true AMR prevalence using data on 1335 Escherichia coli isolates from surveys of community-acquired urinary tract infection in women, by assessing operating curves, sensitivity and specificity. Results: Sensitivity and specificity of any set of LQAS parameters was above 99% and between 79 and 90%, respectively. Operating curves showed high concordance of the LQAS classification with true AMR prevalence estimates. Conclusion: LQAS-based AMR surveillance is a feasible approach that provides timely and locally relevant estimates, and the necessary information to formulate and evaluate guidelines for empirical treatment.

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