MASTER: a model to improve and standardize clinical breakpoints for antimicrobial susceptibility testing using forecast probabilities | Zendy

Nicolas Blöchliger | Zendy; Peter M. Keller | Zendy; Erik C. Böttger | Zendy; Michael Hombach | Zendy

Open Access

MASTER: a model to improve and standardize clinical breakpoints for antimicrobial susceptibility testing using forecast probabilities

Author(s) -

Nicolas Blöchliger,

Peter M. Keller,

Erik C. Böttger,

Michael Hombach

Publication year - 2017

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dkx196

Subject(s) - cefuroxime , cefoxitin , ampicillin , clavulanic acid , amoxicillin , statistics , antibacterial agent , population , antibiotics , medicine , microbiology and biotechnology , biology , mathematics , bacteria , genetics , environmental health , staphylococcus aureus

The procedure for setting clinical breakpoints (CBPs) for antimicrobial susceptibility has been poorly standardized with respect to population data, pharmacokinetic parameters and clinical outcome. Tools to standardize CBP setting could result in improved antibiogram forecast probabilities. We propose a model to estimate probabilities for methodological categorization errors and defined zones of methodological uncertainty (ZMUs), i.e. ranges of zone diameters that cannot reliably be classified. The impact of ZMUs on methodological error rates was used for CBP optimization.

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