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Abstract
Antimicrobial resistance (AMR) in bacteria populations is complex: sub-populations have different minimum inhibitory concentrations. There is no single, simple AMR measure that is universally applicable. One approach is to utilise AMR measures that best predict outcomes. However, it is unclear at present which are the best measures to use.
We believe that the common approach of considering a single isolate as representative of the whole population and therefore defining it as “resistant” or “susceptible,” may be a poor representation of the underlying population. We therefore propose a Quantitative Estimation of Population AMR (QEPA) that simultaneously estimates the total bacteria density and the proportion of bacteria resistant at a specified antimicrobial concentration with associated uncertainties.
Our validation study demonstrated a close match between predicted and measured estimates in constructed mixtures. A cross-sectional pilot study showed heterogeneity within and between samples that would not readily be observed using a binary classifier.
We believe that the common approach of considering a single isolate as representative of the whole population and therefore defining it as “resistant” or “susceptible,” may be a poor representation of the underlying population. We therefore propose a Quantitative Estimation of Population AMR (QEPA) that simultaneously estimates the total bacteria density and the proportion of bacteria resistant at a specified antimicrobial concentration with associated uncertainties.
Our validation study demonstrated a close match between predicted and measured estimates in constructed mixtures. A cross-sectional pilot study showed heterogeneity within and between samples that would not readily be observed using a binary classifier.
| Original language | English |
|---|---|
| Title of host publication | Society for Veterinary Epidemiology and Preventive Medicine 2022, Belfast |
| Place of Publication | NA |
| Pages | 242-252 |
| Number of pages | 11 |
| Volume | 2022 |
| Publication status | Print publication - 1 Apr 2022 |
| Event | Society for Veterinary Epidemiology and Preventive Medicine - Belfast, United Kingdom Duration: 22 Mar 2022 → 25 Mar 2022 |
Conference
| Conference | Society for Veterinary Epidemiology and Preventive Medicine |
|---|---|
| Country/Territory | United Kingdom |
| City | Belfast |
| Period | 22/03/22 → 25/03/22 |
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Dive into the research topics of 'The benefits of Quantitative Estimation of Population AMR (QEPA) in One Health'. Together they form a unique fingerprint.Projects
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RESAS 22-27: SRUC-a2-3 A Systems Understanding Of The Flow Of Amr From Livestock Production To The Environment And Humans: Informing Antimicrobial Stewardship And Optimal Use
Hutchings, M. (PI), Webster, C. (CoI), Tongue, S. (CoI), Baker, E. (CoI), Henry, M. (CoI), Humphry, R. (CoI), Holden, N. (CoI), Rodrigues da Costa, M. (CoI), Smith, L. (CoI), Humphry, R. (CoI) & Lowe, A. (CoI)
Scottish Government: Rural & Environment Science & Analytical Services
1/04/22 → 31/03/27
Project: Research