One Health–Antimicrobial Resistance

Evaluating Average MIC over Time Using a Baysian Latent Class Mixture Model: Examples from a Salmonella enterica Serovar Typhimurium and S. enterica Serovar 4,[5], 12:i:-

Authors: A. Krull (Dupont-Pioneer) , Amanda Kreuder (Iowa State University) , Annette O'Connor (Iowa State University) , Chong Wang (Iowa State University) , M. Zhang (Iowa State University)

Abstract

The minimum inhibitory concentration is a measure of resistance to an antibiotic that is used commonly to describe the resistance of an isolate. As these data arise from a serial dilution experiment, the average MIC cannot be calculated using the standard average formula. As a consequence, MIC data often dichotomized based on a threshold that splits the population into two (resistant and non-resistant) or three categories (susceptible, resistant, intermediate) and the changes the proportion of bacteria in the population evaluated. This approach although valid can result in a less complete picture of the patterns of MIC seen in the bacterial communities, in particular, gradual increases (MIC creep) and decreases (MIC decline) below the threshold of resistance.

Keywords:

How to Cite: Krull, A. , Kreuder, A. , O'Connor, A. , Wang, C. & Zhang, M. (2019) “Evaluating Average MIC over Time Using a Baysian Latent Class Mixture Model: Examples from a Salmonella enterica Serovar Typhimurium and S. enterica Serovar 4,[5], 12:i:-”, SafePork. 13(1). doi: https://doi.org//safepork.11154