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208 lines
13 KiB
R
208 lines
13 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/eucast_rules.R
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\name{eucast_rules}
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\alias{eucast_rules}
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\alias{EUCAST_rules}
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\alias{interpretive_reading}
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\title{EUCAST rules}
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\source{
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\itemize{
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\item{
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EUCAST Expert Rules. Version 2.0, 2012. \cr
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Leclercq et al. \strong{EUCAST expert rules in antimicrobial susceptibility testing.} \emph{Clin Microbiol Infect.} 2013;19(2):141-60. \cr
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\url{https://doi.org/10.1111/j.1469-0691.2011.03703.x}
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}
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\item{
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EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes Tables. Version 3.1, 2016. \cr
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\url{http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf}
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}
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\item{
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EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 9.0, 2019. \cr
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\url{http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_9.0_Breakpoint_Tables.xlsx}
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}
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}
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}
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\usage{
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eucast_rules(tbl, col_mo = NULL, info = TRUE,
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rules = c("breakpoints", "expert", "other", "all"), verbose = FALSE,
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amcl = guess_ab_col(), amik = guess_ab_col(),
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amox = guess_ab_col(), ampi = guess_ab_col(),
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azit = guess_ab_col(), azlo = guess_ab_col(),
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aztr = guess_ab_col(), cefa = guess_ab_col(),
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cfep = guess_ab_col(), cfot = guess_ab_col(),
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cfox = guess_ab_col(), cfra = guess_ab_col(),
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cfta = guess_ab_col(), cftr = guess_ab_col(),
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cfur = guess_ab_col(), chlo = guess_ab_col(),
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cipr = guess_ab_col(), clar = guess_ab_col(),
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clin = guess_ab_col(), clox = guess_ab_col(),
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coli = guess_ab_col(), czol = guess_ab_col(),
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dapt = guess_ab_col(), doxy = guess_ab_col(),
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erta = guess_ab_col(), eryt = guess_ab_col(),
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fosf = guess_ab_col(), fusi = guess_ab_col(),
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gent = guess_ab_col(), imip = guess_ab_col(),
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kana = guess_ab_col(), levo = guess_ab_col(),
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linc = guess_ab_col(), line = guess_ab_col(),
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mero = guess_ab_col(), mezl = guess_ab_col(),
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mino = guess_ab_col(), moxi = guess_ab_col(),
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nali = guess_ab_col(), neom = guess_ab_col(),
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neti = guess_ab_col(), nitr = guess_ab_col(),
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norf = guess_ab_col(), novo = guess_ab_col(),
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oflo = guess_ab_col(), oxac = guess_ab_col(),
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peni = guess_ab_col(), pipe = guess_ab_col(),
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pita = guess_ab_col(), poly = guess_ab_col(),
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pris = guess_ab_col(), qida = guess_ab_col(),
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rifa = guess_ab_col(), roxi = guess_ab_col(),
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siso = guess_ab_col(), teic = guess_ab_col(),
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tetr = guess_ab_col(), tica = guess_ab_col(),
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tige = guess_ab_col(), tobr = guess_ab_col(),
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trim = guess_ab_col(), trsu = guess_ab_col(),
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vanc = guess_ab_col())
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EUCAST_rules(...)
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interpretive_reading(...)
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}
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\arguments{
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\item{tbl}{table with antibiotic columns, like e.g. \code{amox} and \code{amcl}}
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\item{col_mo}{column name of the unique IDs of the microorganisms (see \code{\link{mo}}), defaults to the first column of class \code{mo}. Values will be coerced using \code{\link{as.mo}}.}
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\item{info}{print progress}
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\item{rules}{a character vector that specifies which rules should be applied - one or more of \code{c("breakpoints", "expert", "other", "all")}}
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\item{verbose}{a logical to indicate whether extensive info should be returned as a \code{data.frame} with info about which rows and columns are effected. It runs all EUCAST rules, but will not be applied to an output - only an informative \code{data.frame} with changes will be returned as output.}
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\item{amcl, amik, amox, ampi, azit, azlo, aztr, cefa, cfep, cfot, cfox, cfra, cfta, cftr, cfur, chlo, cipr, clar, clin, clox, coli, czol, dapt, doxy, erta, eryt, fosf, fusi, gent, imip, kana, levo, linc, line, mero, mezl, mino, moxi, nali, neom, neti, nitr, norf, novo, oflo, oxac, peni, pipe, pita, poly, pris, qida, rifa, roxi, siso, teic, tetr, tica, tige, tobr, trim, trsu, vanc}{column name of an antibiotic, see Antibiotics}
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\item{...}{parameters that are passed on to \code{eucast_rules}}
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}
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\value{
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The input of \code{tbl}, possibly with edited values of antibiotics. Or, if \code{verbose = TRUE}, a \code{data.frame} with all original and new values of the affected bug-drug combinations.
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}
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\description{
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Apply susceptibility rules as defined by the European Committee on Antimicrobial Susceptibility Testing (EUCAST, \url{http://eucast.org}), see \emph{Source}. This includes (1) expert rules, (2) intrinsic resistance and (3) inferred resistance as defined in their breakpoint tables.
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}
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\section{Antibiotics}{
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To define antibiotics column names, leave as it is to determine it automatically with \code{\link{guess_ab_col}} or input a text (case-insensitive) or use \code{NULL} to skip a column (e.g. \code{tica = NULL}). Non-existing columns will anyway be skipped with a warning.
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Abbrevations of the column containing antibiotics in the form: \strong{abbreviation}: generic name (\emph{ATC code})
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\strong{amcl}: amoxicillin+clavulanic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR02}{J01CR02}),
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\strong{amik}: amikacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB06}{J01GB06}),
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\strong{amox}: amoxicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA04}{J01CA04}),
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\strong{ampi}: ampicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA01}{J01CA01}),
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\strong{azit}: azithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA10}{J01FA10}),
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\strong{azlo}: azlocillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA09}{J01CA09}),
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\strong{aztr}: aztreonam (\href{https://www.whocc.no/atc_ddd_index/?code=J01DF01}{J01DF01}),
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\strong{cefa}: cefaloridine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB02}{J01DB02}),
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\strong{cfep}: cefepime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DE01}{J01DE01}),
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\strong{cfot}: cefotaxime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD01}{J01DD01}),
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\strong{cfox}: cefoxitin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DC01}{J01DC01}),
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\strong{cfra}: cefradine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB09}{J01DB09}),
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\strong{cfta}: ceftazidime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD02}{J01DD02}),
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\strong{cftr}: ceftriaxone (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD04}{J01DD04}),
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\strong{cfur}: cefuroxime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DC02}{J01DC02}),
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\strong{chlo}: chloramphenicol (\href{https://www.whocc.no/atc_ddd_index/?code=J01BA01}{J01BA01}),
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\strong{cipr}: ciprofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA02}{J01MA02}),
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\strong{clar}: clarithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA09}{J01FA09}),
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\strong{clin}: clindamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FF01}{J01FF01}),
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\strong{clox}: flucloxacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CF05}{J01CF05}),
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\strong{coli}: colistin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB01}{J01XB01}),
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\strong{czol}: cefazolin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB04}{J01DB04}),
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\strong{dapt}: daptomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX09}{J01XX09}),
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\strong{doxy}: doxycycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA02}{J01AA02}),
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\strong{erta}: ertapenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH03}{J01DH03}),
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\strong{eryt}: erythromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA01}{J01FA01}),
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\strong{fosf}: fosfomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX01}{J01XX01}),
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\strong{fusi}: fusidic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01XC01}{J01XC01}),
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\strong{gent}: gentamicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB03}{J01GB03}),
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\strong{imip}: imipenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH51}{J01DH51}),
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\strong{kana}: kanamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB04}{J01GB04}),
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\strong{levo}: levofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA12}{J01MA12}),
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\strong{linc}: lincomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FF02}{J01FF02}),
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\strong{line}: linezolid (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX08}{J01XX08}),
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\strong{mero}: meropenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH02}{J01DH02}),
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\strong{mezl}: mezlocillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA10}{J01CA10}),
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\strong{mino}: minocycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA08}{J01AA08}),
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\strong{moxi}: moxifloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA14}{J01MA14}),
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\strong{nali}: nalidixic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01MB02}{J01MB02}),
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\strong{neom}: neomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB05}{J01GB05}),
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\strong{neti}: netilmicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB07}{J01GB07}),
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\strong{nitr}: nitrofurantoin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XE01}{J01XE01}),
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\strong{norf}: norfloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA06}{J01MA06}),
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\strong{novo}: novobiocin (an ATCvet code: \href{https://www.whocc.no/atc_ddd_index/?code=QJ01XX95}{QJ01XX95}),
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\strong{oflo}: ofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA01}{J01MA01}),
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\strong{peni}: (benzyl)penicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CE01}{J01CE01}),
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\strong{pipe}: piperacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA12}{J01CA12}),
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\strong{pita}: piperacillin+tazobactam (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR05}{J01CR05}),
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\strong{poly}: polymyxin B (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB02}{J01XB02}),
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\strong{pris}: pristinamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG01}{J01FG01}),
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\strong{qida}: quinupristin/dalfopristin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG02}{J01FG02}),
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\strong{rifa}: rifampicin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB02}{J04AB02}),
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\strong{roxi}: roxithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA06}{J01FA06}),
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\strong{siso}: sisomicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB08}{J01GB08}),
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\strong{teic}: teicoplanin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XA02}{J01XA02}),
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\strong{tetr}: tetracycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA07}{J01AA07}),
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\strong{tica}: ticarcillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA13}{J01CA13}),
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\strong{tige}: tigecycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA12}{J01AA12}),
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\strong{tobr}: tobramycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB01}{J01GB01}),
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\strong{trim}: trimethoprim (\href{https://www.whocc.no/atc_ddd_index/?code=J01EA01}{J01EA01}),
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\strong{trsu}: sulfamethoxazole and trimethoprim (\href{https://www.whocc.no/atc_ddd_index/?code=J01EE01}{J01EE01}),
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\strong{vanc}: vancomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XA01}{J01XA01}).
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}
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\section{Read more on our website!}{
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\if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
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On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
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}
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\examples{
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a <- eucast_rules(septic_patients)
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a <- data.frame(mo = c("Staphylococcus aureus",
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"Enterococcus faecalis",
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"Escherichia coli",
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"Klebsiella pneumoniae",
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"Pseudomonas aeruginosa"),
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vanc = "-", # Vancomycin
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amox = "-", # Amoxicillin
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coli = "-", # Colistin
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cfta = "-", # Ceftazidime
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cfur = "-", # Cefuroxime
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peni = "S", # Benzylpenicillin
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cfox = "S", # Cefoxitin
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stringsAsFactors = FALSE)
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a
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# mo vanc amox coli cfta cfur peni cfox
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# 1 Staphylococcus aureus - - - - - S S
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# 2 Enterococcus faecalis - - - - - S S
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# 3 Escherichia coli - - - - - S S
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# 4 Klebsiella pneumoniae - - - - - S S
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# 5 Pseudomonas aeruginosa - - - - - S S
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# apply EUCAST rules: 18 results are forced as R or S
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b <- eucast_rules(a)
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b
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# mo vanc amox coli cfta cfur peni cfox
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# 1 Staphylococcus aureus - S R R S S S
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# 2 Enterococcus faecalis - - R R R S R
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# 3 Escherichia coli R - - - - R S
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# 4 Klebsiella pneumoniae R R - - - R S
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# 5 Pseudomonas aeruginosa R R - - R R R
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# do not apply EUCAST rules, but rather get a a data.frame
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# with 18 rows, containing all details about the transformations:
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c <- eucast_rules(a, verbose = TRUE)
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}
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\keyword{eucast}
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\keyword{interpretive}
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\keyword{reading}
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\keyword{resistance}
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