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

Frank van Leth; Casper den Heijer; Marielle Beerepoot; Ellen Stobberingh; Suzanne Geerlings; Constance Schultsz

doi:10.2217/fmb-2016-0170

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

Frank van Leth^*, Casper den Heijer, Marielle Beerepoot, Ellen Stobberingh, Suzanne Geerlings, Constance Schultsz

^*Corresponding author for this work

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

Abstract

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
Number of pages	9
Journal	Future Microbiology
Volume	12
Issue number	5
DOIs	https://doi.org/10.2217/fmb-2016-0170
Publication status	Published - Apr 2017

Keywords

antimicrobial resistance
empirical treatment
Lot Quality Assurance Sampling
urinary tract infection
DOUBLE-BLIND
TRIAL
WOMEN
SURVEILLANCE
ANTIBIOTICS
TRACHOMA

Access to Document

10.2217/fmb-2016-0170

Cite this

@article{9d73a737b326439eb6e7c538ec1cbced,

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

abstract = "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.",

keywords = "antimicrobial resistance, empirical treatment, Lot Quality Assurance Sampling, urinary tract infection, DOUBLE-BLIND, TRIAL, WOMEN, SURVEILLANCE, ANTIBIOTICS, TRACHOMA",

author = "{van Leth}, Frank and {den Heijer}, Casper and Marielle Beerepoot and Ellen Stobberingh and Suzanne Geerlings and Constance Schultsz",

year = "2017",

month = apr,

doi = "10.2217/fmb-2016-0170",

language = "English",

volume = "12",

pages = "369--377",

journal = "Future Microbiology",

issn = "1746-0913",

publisher = "Future Medicine Ltd.",

number = "5",

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

AU - van Leth, Frank

AU - den Heijer, Casper

AU - Beerepoot, Marielle

AU - Stobberingh, Ellen

AU - Geerlings, Suzanne

AU - Schultsz, Constance

PY - 2017/4

Y1 - 2017/4

N2 - 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 - 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.

KW - antimicrobial resistance

KW - empirical treatment

KW - Lot Quality Assurance Sampling

KW - urinary tract infection

KW - DOUBLE-BLIND

KW - TRIAL

KW - WOMEN

KW - SURVEILLANCE

KW - ANTIBIOTICS

KW - TRACHOMA

U2 - 10.2217/fmb-2016-0170

DO - 10.2217/fmb-2016-0170

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