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(v2.1.1.9247) CLSI/EUCAST 2025!

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2025-04-20 12:55:31 +02:00
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@ -5,7 +5,7 @@
\alias{clinical_breakpoints}
\title{Data Set with Clinical Breakpoints for SIR Interpretation}
\format{
A \link[tibble:tibble]{tibble} with 34 376 observations and 14 variables:
A \link[tibble:tibble]{tibble} with 40 217 observations and 14 variables:
\itemize{
\item \code{guideline}\cr Name of the guideline
\item \code{type}\cr Breakpoint type, either "ECOFF", "animal", or "human"
@ -20,7 +20,7 @@ A \link[tibble:tibble]{tibble} with 34 376 observations and 14 variables:
\item \code{breakpoint_S}\cr Lowest MIC value or highest number of millimetres that leads to "S"
\item \code{breakpoint_R}\cr Highest MIC value or lowest number of millimetres that leads to "R", can be \code{NA}
\item \code{uti}\cr A \link{logical} value (\code{TRUE}/\code{FALSE}) to indicate whether the rule applies to a urinary tract infection (UTI)
\item \code{is_SDD}\cr A \link{logical} value (\code{TRUE}/\code{FALSE}) to indicate whether the intermediate range between "S" and "R" should be interpreted as "SDD", instead of "I". This currently applies to 24 breakpoints.
\item \code{is_SDD}\cr A \link{logical} value (\code{TRUE}/\code{FALSE}) to indicate whether the intermediate range between "S" and "R" should be interpreted as "SDD", instead of "I". This currently applies to 48 breakpoints.
}
}
\usage{
@ -31,9 +31,9 @@ Data set containing clinical breakpoints to interpret MIC and disk diffusion to
These breakpoints are currently implemented:
\itemize{
\item For \strong{clinical microbiology}: EUCAST 2011-2024 and CLSI 2011-2024;
\item For \strong{veterinary microbiology}: EUCAST 2021-2024 and CLSI 2019-2024;
\item For \strong{ECOFFs} (Epidemiological Cut-off Values): EUCAST 2012-2024 and CLSI 2022-2024.
\item For \strong{clinical microbiology}: EUCAST 2011-2025 and CLSI 2011-2025;
\item For \strong{veterinary microbiology}: EUCAST 2021-2025 and CLSI 2019-2025;
\item For \strong{ECOFFs} (Epidemiological Cut-off Values): EUCAST 2020-2025 and CLSI 2022-2025.
}
Use \code{\link[=as.sir]{as.sir()}} to transform MICs or disks measurements to SIR values.