2018-02-21 11:52:31 +01:00
# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
2019-01-02 23:24:07 +01:00
# SOURCE #
# https://gitlab.com/msberends/AMR #
2018-02-21 11:52:31 +01:00
# #
# LICENCE #
2019-01-02 23:24:07 +01:00
# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
2018-02-21 11:52:31 +01:00
# #
2019-01-02 23:24:07 +01:00
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# This R package was created for academic research and was publicly #
# released in the hope that it will be useful, but it comes WITHOUT #
# ANY WARRANTY OR LIABILITY. #
2019-04-05 18:47:39 +02:00
# Visit our website for more info: https://msberends.gitlab.io/AMR. #
2018-02-21 11:52:31 +01:00
# ==================================================================== #
2019-04-05 18:47:39 +02:00
# global variables
EUCAST_RULES_FILE_LOCATION <- system.file ( " eucast/eucast_rules.tsv" , package = " AMR" )
EUCAST_VERSION_BREAKPOINTS <- " 9.0, 2019"
EUCAST_VERSION_EXPERT_RULES <- " 3.1, 2016"
2018-10-17 17:32:34 +02:00
#' EUCAST rules
2018-02-21 11:52:31 +01:00
#'
2018-10-17 17:32:34 +02:00
#' 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.
2019-04-05 18:47:39 +02:00
#' @param x data with antibiotic columns, like e.g. \code{amox} and \code{amcl}
2018-02-21 11:52:31 +01:00
#' @param info print progress
2018-10-18 12:10:10 +02:00
#' @param rules a character vector that specifies which rules should be applied - one or more of \code{c("breakpoints", "expert", "other", "all")}
2019-02-08 16:06:54 +01:00
#' @param 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.
2018-12-07 12:04:55 +01:00
#' @param 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
2018-11-16 20:50:50 +01:00
#' @param ... parameters that are passed on to \code{eucast_rules}
2018-11-01 20:50:10 +01:00
#' @inheritParams first_isolate
2019-04-05 18:47:39 +02:00
#' @details
#' The file used for applying all EUCAST rules can be retrieved with \code{\link{eucast_rules_file}()}. It returns an easily readable data set containing all rules. The original TSV file (tab separated file) that is being read by this function can be found when running this command: \cr
#' \code{AMR::EUCAST_RULES_FILE_LOCATION} (without brackets).
#'
#' In the source code it is located under \href{https://gitlab.com/msberends/AMR/blob/master/inst/eucast/eucast_rules.tsv}{\code{./inst/eucast/eucast_rules.tsv}}.
#'
#' \strong{Note:} When ampicillin (J01CA01) is not available but amoxicillin (J01CA04) is, the latter will be used for all rules where there is a dependency on ampicillin. These drugs are interchangeable when it comes to expression of antimicrobial resistance.
2018-08-31 13:36:19 +02:00
#' @section Antibiotics:
2019-01-11 20:37:23 +01:00
#' 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.
2018-12-07 12:04:55 +01:00
#'
2018-10-18 12:10:10 +02:00
#' Abbrevations of the column containing antibiotics in the form: \strong{abbreviation}: generic name (\emph{ATC code})
2018-07-26 16:30:42 +02:00
#'
2019-01-08 16:23:45 +01:00
#' \strong{amcl}: amoxicillin+clavulanic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR02}{J01CR02}),
#' \strong{amik}: amikacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB06}{J01GB06}),
#' \strong{amox}: amoxicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA04}{J01CA04}),
#' \strong{ampi}: ampicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA01}{J01CA01}),
#' \strong{azit}: azithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA10}{J01FA10}),
#' \strong{azlo}: azlocillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA09}{J01CA09}),
#' \strong{aztr}: aztreonam (\href{https://www.whocc.no/atc_ddd_index/?code=J01DF01}{J01DF01}),
#' \strong{cefa}: cefaloridine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB02}{J01DB02}),
#' \strong{cfep}: cefepime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DE01}{J01DE01}),
#' \strong{cfot}: cefotaxime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD01}{J01DD01}),
#' \strong{cfox}: cefoxitin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DC01}{J01DC01}),
#' \strong{cfra}: cefradine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB09}{J01DB09}),
#' \strong{cfta}: ceftazidime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD02}{J01DD02}),
#' \strong{cftr}: ceftriaxone (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD04}{J01DD04}),
#' \strong{cfur}: cefuroxime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DC02}{J01DC02}),
#' \strong{chlo}: chloramphenicol (\href{https://www.whocc.no/atc_ddd_index/?code=J01BA01}{J01BA01}),
#' \strong{cipr}: ciprofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA02}{J01MA02}),
#' \strong{clar}: clarithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA09}{J01FA09}),
#' \strong{clin}: clindamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FF01}{J01FF01}),
#' \strong{clox}: flucloxacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CF05}{J01CF05}),
#' \strong{coli}: colistin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB01}{J01XB01}),
#' \strong{czol}: cefazolin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB04}{J01DB04}),
#' \strong{dapt}: daptomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX09}{J01XX09}),
#' \strong{doxy}: doxycycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA02}{J01AA02}),
#' \strong{erta}: ertapenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH03}{J01DH03}),
#' \strong{eryt}: erythromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA01}{J01FA01}),
#' \strong{fosf}: fosfomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX01}{J01XX01}),
#' \strong{fusi}: fusidic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01XC01}{J01XC01}),
#' \strong{gent}: gentamicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB03}{J01GB03}),
#' \strong{imip}: imipenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH51}{J01DH51}),
#' \strong{kana}: kanamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB04}{J01GB04}),
#' \strong{levo}: levofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA12}{J01MA12}),
#' \strong{linc}: lincomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FF02}{J01FF02}),
#' \strong{line}: linezolid (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX08}{J01XX08}),
#' \strong{mero}: meropenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH02}{J01DH02}),
#' \strong{mezl}: mezlocillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA10}{J01CA10}),
#' \strong{mino}: minocycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA08}{J01AA08}),
#' \strong{moxi}: moxifloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA14}{J01MA14}),
#' \strong{nali}: nalidixic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01MB02}{J01MB02}),
#' \strong{neom}: neomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB05}{J01GB05}),
#' \strong{neti}: netilmicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB07}{J01GB07}),
#' \strong{nitr}: nitrofurantoin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XE01}{J01XE01}),
#' \strong{norf}: norfloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA06}{J01MA06}),
#' \strong{novo}: novobiocin (an ATCvet code: \href{https://www.whocc.no/atc_ddd_index/?code=QJ01XX95}{QJ01XX95}),
#' \strong{oflo}: ofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA01}{J01MA01}),
#' \strong{peni}: (benzyl)penicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CE01}{J01CE01}),
#' \strong{pipe}: piperacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA12}{J01CA12}),
#' \strong{pita}: piperacillin+tazobactam (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR05}{J01CR05}),
#' \strong{poly}: polymyxin B (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB02}{J01XB02}),
#' \strong{pris}: pristinamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG01}{J01FG01}),
#' \strong{qida}: quinupristin/dalfopristin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG02}{J01FG02}),
#' \strong{rifa}: rifampicin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB02}{J04AB02}),
#' \strong{roxi}: roxithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA06}{J01FA06}),
#' \strong{siso}: sisomicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB08}{J01GB08}),
#' \strong{teic}: teicoplanin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XA02}{J01XA02}),
#' \strong{tetr}: tetracycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA07}{J01AA07}),
#' \strong{tica}: ticarcillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA13}{J01CA13}),
#' \strong{tige}: tigecycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA12}{J01AA12}),
#' \strong{tobr}: tobramycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB01}{J01GB01}),
#' \strong{trim}: trimethoprim (\href{https://www.whocc.no/atc_ddd_index/?code=J01EA01}{J01EA01}),
#' \strong{trsu}: sulfamethoxazole and trimethoprim (\href{https://www.whocc.no/atc_ddd_index/?code=J01EE01}{J01EE01}),
#' \strong{vanc}: vancomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XA01}{J01XA01}).
2018-07-26 16:30:42 +02:00
#' @keywords interpretive eucast reading resistance
2018-11-16 20:50:50 +01:00
#' @rdname eucast_rules
2018-02-21 11:52:31 +01:00
#' @export
2019-04-05 18:47:39 +02:00
#' @importFrom dplyr %>% select pull mutate_at vars group_by summarise n
2018-11-08 16:10:03 +01:00
#' @importFrom crayon bold bgGreen bgYellow bgRed black green blue italic strip_style
2019-04-05 18:47:39 +02:00
#' @return 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.
2018-02-21 11:52:31 +01:00
#' @source
2018-10-17 17:32:34 +02:00
#' \itemize{
#' \item{
#' EUCAST Expert Rules. Version 2.0, 2012. \cr
#' Leclercq et al. \strong{EUCAST expert rules in antimicrobial susceptibility testing.} \emph{Clin Microbiol Infect.} 2013;19(2):141-60. \cr
#' \url{https://doi.org/10.1111/j.1469-0691.2011.03703.x}
#' }
#' \item{
#' EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes Tables. Version 3.1, 2016. \cr
#' \url{http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf}
#' }
#' \item{
2019-01-08 16:23:45 +01:00
#' EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 9.0, 2019. \cr
#' \url{http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_9.0_Breakpoint_Tables.xlsx}
2018-10-17 17:32:34 +02:00
#' }
#' }
2019-04-05 18:47:39 +02:00
#'
#' For editing the reference file (which is available with \code{\link{eucast_rules_file}}), these values can all be used for target antibiotics: aminoglycosides, tetracyclines, polymyxins, macrolides, glycopeptides, streptogramins, cephalosporins, cephalosporins_without_cfta, carbapenems, aminopenicillins, ureidopenicillins, fluoroquinolones, all_betalactams, and all separate four letter codes like amcl. They can be separated by comma: \code{"amcl, fluoroquinolones"}. The mo_property can be any column name from the \code{\link{microorganisms}} data set, or \code{genus_species} or \code{gramstain}. This file contains references to the 'Burkholderia cepacia complex'. The species in this group can be found in: LiPuma JJ, 2015 (PMID 16217180).
2019-01-02 23:24:07 +01:00
#' @inheritSection AMR Read more on our website!
2018-02-21 11:52:31 +01:00
#' @examples
2018-11-16 20:50:50 +01:00
#' a <- eucast_rules(septic_patients)
2018-10-09 13:53:33 +02:00
#'
#' a <- data.frame(mo = c("Staphylococcus aureus",
#' "Enterococcus faecalis",
#' "Escherichia coli",
#' "Klebsiella pneumoniae",
#' "Pseudomonas aeruginosa"),
2018-08-31 13:36:19 +02:00
#' vanc = "-", # Vancomycin
#' amox = "-", # Amoxicillin
#' coli = "-", # Colistin
#' cfta = "-", # Ceftazidime
#' cfur = "-", # Cefuroxime
2018-10-18 12:10:10 +02:00
#' peni = "S", # Benzylpenicillin
#' cfox = "S", # Cefoxitin
2018-02-22 21:37:10 +01:00
#' stringsAsFactors = FALSE)
2018-10-18 12:10:10 +02:00
#'
2018-02-22 21:37:10 +01:00
#' a
2018-10-18 12:10:10 +02:00
#' # mo vanc amox coli cfta cfur peni cfox
#' # 1 Staphylococcus aureus - - - - - S S
#' # 2 Enterococcus faecalis - - - - - S S
#' # 3 Escherichia coli - - - - - S S
#' # 4 Klebsiella pneumoniae - - - - - S S
#' # 5 Pseudomonas aeruginosa - - - - - S S
#'
2019-02-08 16:06:54 +01:00
#'
#' # apply EUCAST rules: 18 results are forced as R or S
#' b <- eucast_rules(a)
2018-04-02 16:05:09 +02:00
#'
2018-02-22 21:37:10 +01:00
#' b
2018-10-18 12:10:10 +02:00
#' # mo vanc amox coli cfta cfur peni cfox
#' # 1 Staphylococcus aureus - S R R S S S
#' # 2 Enterococcus faecalis - - R R R S R
#' # 3 Escherichia coli R - - - - R S
#' # 4 Klebsiella pneumoniae R R - - - R S
#' # 5 Pseudomonas aeruginosa R R - - R R R
2019-02-08 16:06:54 +01:00
#'
#'
#' # do not apply EUCAST rules, but rather get a a data.frame
#' # with 18 rows, containing all details about the transformations:
#' c <- eucast_rules(a, verbose = TRUE)
2019-04-05 18:47:39 +02:00
eucast_rules <- function ( x ,
2018-11-01 20:23:33 +01:00
col_mo = NULL ,
2018-02-21 11:52:31 +01:00
info = TRUE ,
2018-10-18 12:10:10 +02:00
rules = c ( " breakpoints" , " expert" , " other" , " all" ) ,
2018-11-01 20:23:33 +01:00
verbose = FALSE ,
2019-01-11 20:37:23 +01:00
amcl = guess_ab_col ( ) ,
amik = guess_ab_col ( ) ,
amox = guess_ab_col ( ) ,
ampi = guess_ab_col ( ) ,
azit = guess_ab_col ( ) ,
azlo = guess_ab_col ( ) ,
aztr = guess_ab_col ( ) ,
cefa = guess_ab_col ( ) ,
cfep = guess_ab_col ( ) ,
cfot = guess_ab_col ( ) ,
cfox = guess_ab_col ( ) ,
cfra = guess_ab_col ( ) ,
cfta = guess_ab_col ( ) ,
cftr = guess_ab_col ( ) ,
cfur = guess_ab_col ( ) ,
chlo = guess_ab_col ( ) ,
cipr = guess_ab_col ( ) ,
clar = guess_ab_col ( ) ,
clin = guess_ab_col ( ) ,
clox = guess_ab_col ( ) ,
coli = guess_ab_col ( ) ,
czol = guess_ab_col ( ) ,
dapt = guess_ab_col ( ) ,
doxy = guess_ab_col ( ) ,
erta = guess_ab_col ( ) ,
eryt = guess_ab_col ( ) ,
fosf = guess_ab_col ( ) ,
fusi = guess_ab_col ( ) ,
gent = guess_ab_col ( ) ,
imip = guess_ab_col ( ) ,
kana = guess_ab_col ( ) ,
levo = guess_ab_col ( ) ,
linc = guess_ab_col ( ) ,
line = guess_ab_col ( ) ,
mero = guess_ab_col ( ) ,
mezl = guess_ab_col ( ) ,
mino = guess_ab_col ( ) ,
moxi = guess_ab_col ( ) ,
nali = guess_ab_col ( ) ,
neom = guess_ab_col ( ) ,
neti = guess_ab_col ( ) ,
nitr = guess_ab_col ( ) ,
norf = guess_ab_col ( ) ,
novo = guess_ab_col ( ) ,
oflo = guess_ab_col ( ) ,
oxac = guess_ab_col ( ) ,
peni = guess_ab_col ( ) ,
pipe = guess_ab_col ( ) ,
pita = guess_ab_col ( ) ,
poly = guess_ab_col ( ) ,
pris = guess_ab_col ( ) ,
qida = guess_ab_col ( ) ,
rifa = guess_ab_col ( ) ,
roxi = guess_ab_col ( ) ,
siso = guess_ab_col ( ) ,
teic = guess_ab_col ( ) ,
tetr = guess_ab_col ( ) ,
tica = guess_ab_col ( ) ,
tige = guess_ab_col ( ) ,
tobr = guess_ab_col ( ) ,
trim = guess_ab_col ( ) ,
trsu = guess_ab_col ( ) ,
2019-04-05 18:47:39 +02:00
vanc = guess_ab_col ( ) ,
... ) {
2018-03-23 14:46:02 +01:00
2019-04-05 18:47:39 +02:00
# support old `tbl` parameter
if ( " tbl" %in% names ( list ( ... ) ) ) {
x <- list ( ... ) $ tbl
}
tbl_ <- x
if ( ! is.data.frame ( tbl_ ) ) {
stop ( " `tbl_` must be a data frame." , call. = FALSE )
2018-11-01 20:23:33 +01:00
}
# try to find columns based on type
# -- mo
2019-01-15 12:45:24 +01:00
if ( is.null ( col_mo ) ) {
2019-04-05 18:47:39 +02:00
col_mo <- search_type_in_df ( tbl = tbl_ , type = " mo" )
2018-12-22 22:39:34 +01:00
}
if ( is.null ( col_mo ) ) {
stop ( " `col_mo` must be set." , call. = FALSE )
2018-02-21 11:52:31 +01:00
}
2018-04-02 16:05:09 +02:00
2018-10-18 12:10:10 +02:00
if ( ! all ( rules %in% c ( " breakpoints" , " expert" , " other" , " all" ) ) ) {
2019-04-05 18:47:39 +02:00
stop ( " `rules` must be one or more of: 'breakpoints', 'expert', 'other', 'all'." )
2018-10-18 12:10:10 +02:00
}
2018-11-01 20:23:33 +01:00
if ( is.null ( col_mo ) ) {
2019-04-05 18:47:39 +02:00
stop ( " `col_mo` must be set" )
2018-11-01 20:23:33 +01:00
}
2018-10-17 17:32:34 +02:00
warned <- FALSE
txt_error <- function ( ) { cat ( " " , bgRed ( black ( " ERROR " ) ) , " \n" ) }
txt_warning <- function ( ) { if ( warned == FALSE ) { cat ( " " , bgYellow ( black ( " WARNING " ) ) , " \n" ) } ; warned <<- TRUE }
2019-04-05 18:47:39 +02:00
txt_ok <- function ( no_of_changes ) {
2018-10-17 17:32:34 +02:00
if ( warned == FALSE ) {
2019-04-05 18:47:39 +02:00
if ( no_of_changes > 0 ) {
if ( no_of_changes == 1 ) {
cat ( blue ( " (1 new change)\n" ) )
2018-10-17 17:32:34 +02:00
} else {
2019-04-05 18:47:39 +02:00
cat ( blue ( paste0 ( " (" , no_of_changes , " new changes)\n" ) ) )
2018-10-17 17:32:34 +02:00
}
} else {
2019-04-05 18:47:39 +02:00
cat ( green ( " (no new changes)\n" ) )
2018-10-17 17:32:34 +02:00
}
warned <<- FALSE
}
}
2018-03-23 14:46:02 +01:00
# check columns
2019-04-05 18:47:39 +02:00
if ( identical ( amcl , as.name ( " guess_ab_col" ) ) ) { amcl <- guess_ab_col ( tbl_ , " amcl" , verbose = verbose ) }
if ( identical ( amik , as.name ( " guess_ab_col" ) ) ) { amik <- guess_ab_col ( tbl_ , " amik" , verbose = verbose ) }
if ( identical ( amox , as.name ( " guess_ab_col" ) ) ) { amox <- guess_ab_col ( tbl_ , " amox" , verbose = verbose ) }
if ( identical ( ampi , as.name ( " guess_ab_col" ) ) ) { ampi <- guess_ab_col ( tbl_ , " ampi" , verbose = verbose ) }
if ( identical ( azit , as.name ( " guess_ab_col" ) ) ) { azit <- guess_ab_col ( tbl_ , " azit" , verbose = verbose ) }
if ( identical ( azlo , as.name ( " guess_ab_col" ) ) ) { azlo <- guess_ab_col ( tbl_ , " azlo" , verbose = verbose ) }
if ( identical ( aztr , as.name ( " guess_ab_col" ) ) ) { aztr <- guess_ab_col ( tbl_ , " aztr" , verbose = verbose ) }
if ( identical ( cefa , as.name ( " guess_ab_col" ) ) ) { cefa <- guess_ab_col ( tbl_ , " cefa" , verbose = verbose ) }
if ( identical ( cfep , as.name ( " guess_ab_col" ) ) ) { cfep <- guess_ab_col ( tbl_ , " cfep" , verbose = verbose ) }
if ( identical ( cfot , as.name ( " guess_ab_col" ) ) ) { cfot <- guess_ab_col ( tbl_ , " cfot" , verbose = verbose ) }
if ( identical ( cfox , as.name ( " guess_ab_col" ) ) ) { cfox <- guess_ab_col ( tbl_ , " cfox" , verbose = verbose ) }
if ( identical ( cfra , as.name ( " guess_ab_col" ) ) ) { cfra <- guess_ab_col ( tbl_ , " cfra" , verbose = verbose ) }
if ( identical ( cfta , as.name ( " guess_ab_col" ) ) ) { cfta <- guess_ab_col ( tbl_ , " cfta" , verbose = verbose ) }
if ( identical ( cftr , as.name ( " guess_ab_col" ) ) ) { cftr <- guess_ab_col ( tbl_ , " cftr" , verbose = verbose ) }
if ( identical ( cfur , as.name ( " guess_ab_col" ) ) ) { cfur <- guess_ab_col ( tbl_ , " cfur" , verbose = verbose ) }
if ( identical ( chlo , as.name ( " guess_ab_col" ) ) ) { chlo <- guess_ab_col ( tbl_ , " chlo" , verbose = verbose ) }
if ( identical ( cipr , as.name ( " guess_ab_col" ) ) ) { cipr <- guess_ab_col ( tbl_ , " cipr" , verbose = verbose ) }
if ( identical ( clar , as.name ( " guess_ab_col" ) ) ) { clar <- guess_ab_col ( tbl_ , " clar" , verbose = verbose ) }
if ( identical ( clin , as.name ( " guess_ab_col" ) ) ) { clin <- guess_ab_col ( tbl_ , " clin" , verbose = verbose ) }
if ( identical ( clox , as.name ( " guess_ab_col" ) ) ) { clox <- guess_ab_col ( tbl_ , " clox" , verbose = verbose ) }
if ( identical ( coli , as.name ( " guess_ab_col" ) ) ) { coli <- guess_ab_col ( tbl_ , " coli" , verbose = verbose ) }
if ( identical ( czol , as.name ( " guess_ab_col" ) ) ) { czol <- guess_ab_col ( tbl_ , " czol" , verbose = verbose ) }
if ( identical ( dapt , as.name ( " guess_ab_col" ) ) ) { dapt <- guess_ab_col ( tbl_ , " dapt" , verbose = verbose ) }
if ( identical ( doxy , as.name ( " guess_ab_col" ) ) ) { doxy <- guess_ab_col ( tbl_ , " doxy" , verbose = verbose ) }
if ( identical ( erta , as.name ( " guess_ab_col" ) ) ) { erta <- guess_ab_col ( tbl_ , " erta" , verbose = verbose ) }
if ( identical ( eryt , as.name ( " guess_ab_col" ) ) ) { eryt <- guess_ab_col ( tbl_ , " eryt" , verbose = verbose ) }
if ( identical ( fosf , as.name ( " guess_ab_col" ) ) ) { fosf <- guess_ab_col ( tbl_ , " fosf" , verbose = verbose ) }
if ( identical ( fusi , as.name ( " guess_ab_col" ) ) ) { fusi <- guess_ab_col ( tbl_ , " fusi" , verbose = verbose ) }
if ( identical ( gent , as.name ( " guess_ab_col" ) ) ) { gent <- guess_ab_col ( tbl_ , " gent" , verbose = verbose ) }
if ( identical ( imip , as.name ( " guess_ab_col" ) ) ) { imip <- guess_ab_col ( tbl_ , " imip" , verbose = verbose ) }
if ( identical ( kana , as.name ( " guess_ab_col" ) ) ) { kana <- guess_ab_col ( tbl_ , " kana" , verbose = verbose ) }
if ( identical ( levo , as.name ( " guess_ab_col" ) ) ) { levo <- guess_ab_col ( tbl_ , " levo" , verbose = verbose ) }
if ( identical ( linc , as.name ( " guess_ab_col" ) ) ) { linc <- guess_ab_col ( tbl_ , " linc" , verbose = verbose ) }
if ( identical ( line , as.name ( " guess_ab_col" ) ) ) { line <- guess_ab_col ( tbl_ , " line" , verbose = verbose ) }
if ( identical ( mero , as.name ( " guess_ab_col" ) ) ) { mero <- guess_ab_col ( tbl_ , " mero" , verbose = verbose ) }
if ( identical ( mezl , as.name ( " guess_ab_col" ) ) ) { mezl <- guess_ab_col ( tbl_ , " mezl" , verbose = verbose ) }
if ( identical ( mino , as.name ( " guess_ab_col" ) ) ) { mino <- guess_ab_col ( tbl_ , " mino" , verbose = verbose ) }
if ( identical ( moxi , as.name ( " guess_ab_col" ) ) ) { moxi <- guess_ab_col ( tbl_ , " moxi" , verbose = verbose ) }
if ( identical ( nali , as.name ( " guess_ab_col" ) ) ) { nali <- guess_ab_col ( tbl_ , " nali" , verbose = verbose ) }
if ( identical ( neom , as.name ( " guess_ab_col" ) ) ) { neom <- guess_ab_col ( tbl_ , " neom" , verbose = verbose ) }
if ( identical ( neti , as.name ( " guess_ab_col" ) ) ) { neti <- guess_ab_col ( tbl_ , " neti" , verbose = verbose ) }
if ( identical ( nitr , as.name ( " guess_ab_col" ) ) ) { nitr <- guess_ab_col ( tbl_ , " nitr" , verbose = verbose ) }
if ( identical ( norf , as.name ( " guess_ab_col" ) ) ) { norf <- guess_ab_col ( tbl_ , " norf" , verbose = verbose ) }
if ( identical ( novo , as.name ( " guess_ab_col" ) ) ) { novo <- guess_ab_col ( tbl_ , " novo" , verbose = verbose ) }
if ( identical ( oflo , as.name ( " guess_ab_col" ) ) ) { oflo <- guess_ab_col ( tbl_ , " oflo" , verbose = verbose ) }
if ( identical ( oxac , as.name ( " guess_ab_col" ) ) ) { oxac <- guess_ab_col ( tbl_ , " oxac" , verbose = verbose ) }
if ( identical ( peni , as.name ( " guess_ab_col" ) ) ) { peni <- guess_ab_col ( tbl_ , " peni" , verbose = verbose ) }
if ( identical ( pipe , as.name ( " guess_ab_col" ) ) ) { pipe <- guess_ab_col ( tbl_ , " pipe" , verbose = verbose ) }
if ( identical ( pita , as.name ( " guess_ab_col" ) ) ) { pita <- guess_ab_col ( tbl_ , " pita" , verbose = verbose ) }
if ( identical ( poly , as.name ( " guess_ab_col" ) ) ) { poly <- guess_ab_col ( tbl_ , " poly" , verbose = verbose ) }
if ( identical ( pris , as.name ( " guess_ab_col" ) ) ) { pris <- guess_ab_col ( tbl_ , " pris" , verbose = verbose ) }
if ( identical ( qida , as.name ( " guess_ab_col" ) ) ) { qida <- guess_ab_col ( tbl_ , " qida" , verbose = verbose ) }
if ( identical ( rifa , as.name ( " guess_ab_col" ) ) ) { rifa <- guess_ab_col ( tbl_ , " rifa" , verbose = verbose ) }
if ( identical ( roxi , as.name ( " guess_ab_col" ) ) ) { roxi <- guess_ab_col ( tbl_ , " roxi" , verbose = verbose ) }
if ( identical ( siso , as.name ( " guess_ab_col" ) ) ) { siso <- guess_ab_col ( tbl_ , " siso" , verbose = verbose ) }
if ( identical ( teic , as.name ( " guess_ab_col" ) ) ) { teic <- guess_ab_col ( tbl_ , " teic" , verbose = verbose ) }
if ( identical ( tetr , as.name ( " guess_ab_col" ) ) ) { tetr <- guess_ab_col ( tbl_ , " tetr" , verbose = verbose ) }
if ( identical ( tica , as.name ( " guess_ab_col" ) ) ) { tica <- guess_ab_col ( tbl_ , " tica" , verbose = verbose ) }
if ( identical ( tige , as.name ( " guess_ab_col" ) ) ) { tige <- guess_ab_col ( tbl_ , " tige" , verbose = verbose ) }
if ( identical ( tobr , as.name ( " guess_ab_col" ) ) ) { tobr <- guess_ab_col ( tbl_ , " tobr" , verbose = verbose ) }
if ( identical ( trim , as.name ( " guess_ab_col" ) ) ) { trim <- guess_ab_col ( tbl_ , " trim" , verbose = verbose ) }
if ( identical ( trsu , as.name ( " guess_ab_col" ) ) ) { trsu <- guess_ab_col ( tbl_ , " trsu" , verbose = verbose ) }
if ( identical ( vanc , as.name ( " guess_ab_col" ) ) ) { vanc <- guess_ab_col ( tbl_ , " vanc" , verbose = verbose ) }
2018-07-26 16:30:42 +02:00
col.list <- c ( amcl , amik , amox , ampi , azit , azlo , aztr , cefa , cfra , cfep , cfot ,
2018-03-23 14:46:02 +01:00
cfox , cfta , cftr , cfur , chlo , cipr , clar , clin , clox , coli ,
czol , dapt , doxy , erta , eryt , fosf , fusi , gent , imip , kana ,
2018-07-26 16:30:42 +02:00
levo , linc , line , mero , mezl , mino , moxi , nali , neom , neti , nitr ,
2018-11-01 17:06:08 +01:00
novo , norf , oflo , oxac , peni , pipe , pita , poly , pris , qida , rifa ,
roxi , siso , teic , tetr , tica , tige , tobr , trim , trsu , vanc )
2019-01-03 23:56:19 +01:00
if ( length ( col.list ) < 63 ) {
warning ( ' Some columns do not exist -- THIS MAY STRONGLY INFLUENCE THE OUTCOME.' ,
immediate. = TRUE ,
call. = FALSE )
}
2019-04-05 18:47:39 +02:00
col.list <- check_available_columns ( tbl = tbl_ , col.list = col.list , info = info )
2018-04-25 15:33:58 +02:00
amcl <- col.list [amcl ]
amik <- col.list [amik ]
amox <- col.list [amox ]
ampi <- col.list [ampi ]
azit <- col.list [azit ]
2018-07-26 16:30:42 +02:00
azlo <- col.list [azlo ]
2018-04-25 15:33:58 +02:00
aztr <- col.list [aztr ]
cefa <- col.list [cefa ]
cfep <- col.list [cfep ]
cfot <- col.list [cfot ]
cfox <- col.list [cfox ]
2018-07-26 16:30:42 +02:00
cfra <- col.list [cfra ]
2018-04-25 15:33:58 +02:00
cfta <- col.list [cfta ]
cftr <- col.list [cftr ]
cfur <- col.list [cfur ]
chlo <- col.list [chlo ]
cipr <- col.list [cipr ]
clar <- col.list [clar ]
clin <- col.list [clin ]
clox <- col.list [clox ]
coli <- col.list [coli ]
czol <- col.list [czol ]
dapt <- col.list [dapt ]
doxy <- col.list [doxy ]
erta <- col.list [erta ]
eryt <- col.list [eryt ]
fosf <- col.list [fosf ]
fusi <- col.list [fusi ]
gent <- col.list [gent ]
imip <- col.list [imip ]
kana <- col.list [kana ]
levo <- col.list [levo ]
linc <- col.list [linc ]
line <- col.list [line ]
mero <- col.list [mero ]
2018-07-26 16:30:42 +02:00
mezl <- col.list [mezl ]
2018-04-25 15:33:58 +02:00
mino <- col.list [mino ]
moxi <- col.list [moxi ]
nali <- col.list [nali ]
neom <- col.list [neom ]
neti <- col.list [neti ]
nitr <- col.list [nitr ]
norf <- col.list [norf ]
2018-07-26 16:30:42 +02:00
novo <- col.list [novo ]
2018-04-25 15:33:58 +02:00
oflo <- col.list [oflo ]
2018-10-17 17:32:34 +02:00
oxac <- col.list [oxac ]
2018-04-25 15:33:58 +02:00
peni <- col.list [peni ]
2018-11-01 17:06:08 +01:00
pipe <- col.list [pipe ]
2018-04-25 15:33:58 +02:00
pita <- col.list [pita ]
poly <- col.list [poly ]
2018-07-26 16:30:42 +02:00
pris <- col.list [pris ]
2018-04-25 15:33:58 +02:00
qida <- col.list [qida ]
rifa <- col.list [rifa ]
roxi <- col.list [roxi ]
siso <- col.list [siso ]
teic <- col.list [teic ]
tetr <- col.list [tetr ]
tica <- col.list [tica ]
tige <- col.list [tige ]
tobr <- col.list [tobr ]
trim <- col.list [trim ]
trsu <- col.list [trsu ]
vanc <- col.list [vanc ]
2018-04-02 16:05:09 +02:00
2019-04-05 18:47:39 +02:00
ab_missing <- function ( ab ) {
all ( ab %in% c ( NULL , NA ) )
}
2019-02-08 16:06:54 +01:00
verbose_info <- data.frame ( row = integer ( 0 ) ,
col = character ( 0 ) ,
mo_fullname = character ( 0 ) ,
old = character ( 0 ) ,
new = character ( 0 ) ,
2019-04-05 18:47:39 +02:00
rule = character ( 0 ) ,
2019-02-08 16:06:54 +01:00
rule_group = character ( 0 ) ,
2019-04-05 18:47:39 +02:00
rule_name = character ( 0 ) ,
2018-10-19 00:17:03 +02:00
stringsAsFactors = FALSE )
2018-04-02 16:05:09 +02:00
2018-03-23 14:46:02 +01:00
# helper function for editing the table
2018-10-17 17:32:34 +02:00
edit_rsi <- function ( to , rule , rows , cols ) {
2019-01-03 23:56:19 +01:00
cols <- unique ( cols [ ! is.na ( cols ) & ! is.null ( cols ) ] )
2018-02-21 11:52:31 +01:00
if ( length ( rows ) > 0 & length ( cols ) > 0 ) {
2019-02-08 16:06:54 +01:00
before_df <- tbl_original
2018-10-17 17:32:34 +02:00
before <- as.character ( unlist ( as.list ( tbl_original [rows , cols ] ) ) )
2019-02-08 16:06:54 +01:00
2018-10-17 17:32:34 +02:00
tryCatch (
# insert into original table
tbl_original [rows , cols ] <<- to ,
warning = function ( w ) {
if ( w $ message %like% ' invalid factor level' ) {
warning ( ' Value "' , to , ' " could not be applied to column(s) `' , paste ( cols , collapse = ' `, `' ) , ' ` because this value is not an existing factor level.' , call. = FALSE )
} else {
warning ( w $ message , call. = FALSE )
}
txt_warning ( )
} ,
error = function ( e ) {
txt_error ( )
stop ( e , call. = FALSE )
}
)
2019-04-05 18:47:39 +02:00
tbl_ [rows , cols ] <<- tbl_original [rows , cols ]
2019-02-08 16:06:54 +01:00
2018-10-17 17:32:34 +02:00
after <- as.character ( unlist ( as.list ( tbl_original [rows , cols ] ) ) )
2019-02-08 16:06:54 +01:00
2019-04-05 18:47:39 +02:00
# before_df might not be a data.frame, but a tibble of data.table instead
old <- as.data.frame ( before_df , stringsAsFactors = FALSE ) [rows , ]
no_of_changes_this_run <- 0
for ( i in 1 : length ( cols ) ) {
verbose_new <- data.frame ( row = rows ,
col = cols [i ] ,
mo_fullname = tbl_ [rows , " fullname" ] ,
old = as.character ( old [ , cols [i ] ] ) ,
new = as.character ( tbl_ [rows , cols [i ] ] ) ,
rule = strip_style ( rule [1 ] ) ,
rule_group = strip_style ( rule [2 ] ) ,
rule_name = strip_style ( rule [3 ] ) ,
stringsAsFactors = FALSE )
colnames ( verbose_new ) <- c ( " row" , " col" , " mo_fullname" , " old" , " new" , " rule" , " rule_group" , " rule_name" )
verbose_new <- verbose_new %>% filter ( old != new | is.na ( old ) )
verbose_info <<- rbind ( verbose_info , verbose_new )
no_of_changes_this_run <- no_of_changes_this_run + nrow ( verbose_new )
2018-10-17 17:32:34 +02:00
}
2019-04-05 18:47:39 +02:00
# return number of (new) changes
return ( no_of_changes_this_run )
2018-10-17 17:32:34 +02:00
}
2019-04-05 18:47:39 +02:00
# return number of (new) changes: none.
return ( 0 )
2018-02-21 11:52:31 +01:00
}
2018-04-02 16:05:09 +02:00
2018-10-18 12:10:10 +02:00
# save original table
2019-04-05 18:47:39 +02:00
tbl_original <- tbl_
2018-10-18 12:10:10 +02:00
# join to microorganisms data set
2019-04-05 18:47:39 +02:00
suppressWarnings (
tbl_ <- tbl_ %>%
mutate_at ( vars ( col_mo ) , as.mo ) %>%
left_join_microorganisms ( by = col_mo , suffix = c ( " _oldcols" , " " ) ) %>%
mutate ( gramstain = mo_gramstain ( pull ( ., col_mo ) , language = " en" ) ,
genus_species = paste ( genus , species ) ) %>%
as.data.frame ( stringsAsFactors = FALSE )
)
2018-10-17 17:32:34 +02:00
if ( info == TRUE ) {
2019-04-05 18:47:39 +02:00
cat ( paste0 (
" \nRules by the " , bold ( " European Committee on Antimicrobial Susceptibility Testing (EUCAST)" ) ,
" \n" , blue ( " http://eucast.org/" ) , " \n" ) )
2018-10-17 17:32:34 +02:00
}
2018-12-31 01:48:53 +01:00
# since ampicillin ^= amoxicillin, get the first from the latter (not in original EUCAST table)
2019-04-05 18:47:39 +02:00
if ( ! ab_missing ( ampi ) & ! ab_missing ( amox ) ) {
2018-10-19 00:57:10 +02:00
if ( verbose == TRUE ) {
2019-02-08 16:06:54 +01:00
cat ( " \n VERBOSE: transforming" ,
2019-04-05 18:47:39 +02:00
length ( which ( tbl_ [ , amox ] == " S" & ! tbl_ [ , ampi ] %in% c ( " S" , " I" , " R" ) ) ) ,
2019-02-08 16:06:54 +01:00
" empty ampicillin fields to 'S' based on amoxicillin. " )
cat ( " \n VERBOSE: transforming" ,
2019-04-05 18:47:39 +02:00
length ( which ( tbl_ [ , amox ] == " I" & ! tbl_ [ , ampi ] %in% c ( " S" , " I" , " R" ) ) ) ,
2019-02-08 16:06:54 +01:00
" empty ampicillin fields to 'I' based on amoxicillin. " )
cat ( " \n VERBOSE: transforming" ,
2019-04-05 18:47:39 +02:00
length ( which ( tbl_ [ , amox ] == " R" & ! tbl_ [ , ampi ] %in% c ( " S" , " I" , " R" ) ) ) ,
2019-02-08 16:06:54 +01:00
" empty ampicillin fields to 'R' based on amoxicillin. \n" )
2018-10-19 00:57:10 +02:00
}
2019-04-05 18:47:39 +02:00
tbl_ [which ( tbl_ [ , amox ] == " S" & ! tbl_ [ , ampi ] %in% c ( " S" , " I" , " R" ) ) , ampi ] <- " S"
tbl_ [which ( tbl_ [ , amox ] == " I" & ! tbl_ [ , ampi ] %in% c ( " S" , " I" , " R" ) ) , ampi ] <- " I"
tbl_ [which ( tbl_ [ , amox ] == " R" & ! tbl_ [ , ampi ] %in% c ( " S" , " I" , " R" ) ) , ampi ] <- " R"
} else if ( ab_missing ( ampi ) & ! ab_missing ( amox ) ) {
2018-12-31 01:48:53 +01:00
# ampicillin column is missing, but amoxicillin is available
message ( blue ( paste0 ( " NOTE: Using column `" , bold ( amox ) , " ` as input for ampicillin (J01CA01) since many EUCAST rules depend on it." ) ) )
ampi <- amox
2018-10-17 17:32:34 +02:00
}
2018-12-31 01:48:53 +01:00
# antibiotic classes
aminoglycosides <- c ( tobr , gent , kana , neom , neti , siso )
tetracyclines <- c ( doxy , mino , tetr ) # since EUCAST v3.1 tige(cycline) is set apart
polymyxins <- c ( poly , coli )
macrolides <- c ( eryt , azit , roxi , clar ) # since EUCAST v3.1 clinda is set apart
glycopeptides <- c ( vanc , teic )
streptogramins <- c ( qida , pris ) # should officially also be quinupristin/dalfopristin
cephalosporins <- c ( cfep , cfot , cfox , cfra , cfta , cftr , cfur , czol )
2019-04-05 18:47:39 +02:00
cephalosporins_without_cfta <- cephalosporins [cephalosporins != ifelse ( is.null ( cfta ) , " " , cfta ) ]
2018-12-31 01:48:53 +01:00
carbapenems <- c ( erta , imip , mero )
aminopenicillins <- c ( ampi , amox )
ureidopenicillins <- c ( pipe , pita , azlo , mezl )
fluoroquinolones <- c ( oflo , cipr , norf , levo , moxi )
2019-04-05 18:47:39 +02:00
all_betalactams <- c ( aminopenicillins , ureidopenicillins , cephalosporins , carbapenems , amcl , oxac , clox , peni )
2018-10-18 12:10:10 +02:00
2019-04-05 18:47:39 +02:00
# Help function to get available antibiotic column names ------------------
get_antibiotic_columns <- function ( x , df ) {
x <- trimws ( unlist ( strsplit ( x , " ," , fixed = TRUE ) ) )
y <- character ( 0 )
for ( i in 1 : length ( x ) ) {
y <- c ( y , tryCatch ( get ( x [i ] ) , error = function ( e ) " " ) )
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
y [y != " " & y %in% colnames ( df ) ]
}
2018-10-18 12:10:10 +02:00
2019-04-05 18:47:39 +02:00
eucast_rules_df <- eucast_rules_file ( )
no_of_changes <- 0
for ( i in 1 : nrow ( eucast_rules_df ) ) {
rule_previous <- eucast_rules_df [max ( 1 , i - 1 ) , " reference.rule" ]
rule_current <- eucast_rules_df [i , " reference.rule" ]
rule_next <- eucast_rules_df [min ( nrow ( eucast_rules_df ) , i + 1 ) , " reference.rule" ]
rule_group_previous <- eucast_rules_df [max ( 1 , i - 1 ) , " reference.rule_group" ]
rule_group_current <- eucast_rules_df [i , " reference.rule_group" ]
rule_group_next <- eucast_rules_df [min ( nrow ( eucast_rules_df ) , i + 1 ) , " reference.rule_group" ]
#no_of_changes <- 0
if ( is.na ( eucast_rules_df [i , 4 ] ) ) {
rule_text <- paste ( eucast_rules_df [i , 6 ] , " =" , eucast_rules_df [i , 7 ] )
} else {
rule_text <- paste ( " if" , eucast_rules_df [i , 4 ] , " =" , eucast_rules_df [i , 5 ] ,
" then" , eucast_rules_df [i , 6 ] , " =" , eucast_rules_df [i , 7 ] )
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
if ( i == 1 ) {
rule_previous <- " "
rule_group_previous <- " "
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
if ( i == nrow ( eucast_rules_df ) ) {
rule_next <- " "
rule_group_next <- " "
2018-10-18 12:10:10 +02:00
}
2018-04-02 16:05:09 +02:00
2019-04-05 18:47:39 +02:00
# don't apply rules if user doesn't want to apply them
if ( rule_group_current %like% " breakpoint" & ! any ( c ( " all" , " breakpoints" ) %in% rules ) ) {
next
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
if ( rule_group_current %like% " expert" & ! any ( c ( " all" , " expert" ) %in% rules ) ) {
next
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
if ( rule_group_current %like% " other" & ! any ( c ( " all" , " other" ) %in% rules ) ) {
next
2018-10-18 12:10:10 +02:00
}
2018-04-02 16:05:09 +02:00
2018-10-18 12:10:10 +02:00
if ( info == TRUE ) {
2019-04-05 18:47:39 +02:00
# Print rule (group) ------------------------------------------------------
if ( rule_group_current != rule_group_previous ) {
# is new rule group, one of Breakpoints, Expert Rules and Other
cat ( bold (
case_when (
rule_group_current %like% " breakpoint" ~
paste0 ( " \nEUCAST Clinical Breakpoints (v" , EUCAST_VERSION_BREAKPOINTS , " )\n" ) ,
rule_group_current %like% " expert" ~
paste0 ( " \nEUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes (v" , EUCAST_VERSION_EXPERT_RULES , " )\n" ) ,
TRUE ~
" \nOther rules\n"
)
) )
}
# Print rule -------------------------------------------------------------
if ( rule_current != rule_previous ) {
# is new rule within group, print its name
if ( rule_current %in% c ( AMR :: microorganisms $ family ,
AMR :: microorganisms $ fullname ) ) {
cat ( italic ( rule_current ) )
} else {
cat ( rule_current )
}
warned <- FALSE
}
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
# Get rule from file ------------------------------------------------------
col_mo_property <- eucast_rules_df [i , 1 ]
like_is_one_of <- eucast_rules_df [i , 2 ]
2018-10-18 12:10:10 +02:00
2019-04-05 18:47:39 +02:00
# be sure to comprise all coagulase-negative/-positive Staphylococci when they are mentioned
if ( eucast_rules_df [i , 3 ] %like% " coagulase-" ) {
suppressWarnings (
all_staph <- AMR :: microorganisms %>%
filter ( genus == " Staphylococcus" ) %>%
mutate ( CNS_CPS = mo_fullname ( mo , Becker = " all" ) )
)
if ( eucast_rules_df [i , 3 ] %like% " coagulase-" ) {
eucast_rules_df [i , 3 ] <- paste0 ( " ^(" ,
paste0 ( all_staph %>%
filter ( CNS_CPS %like% " coagulase-negative" ) %>%
pull ( fullname ) ,
collapse = " |" ) ,
" )$" )
} else {
eucast_rules_df [i , 3 ] <- paste0 ( " ^(" ,
paste0 ( all_staph %>%
filter ( CNS_CPS %like% " coagulase-positive" ) %>%
pull ( fullname ) ,
collapse = " |" ) ,
" )$" )
}
like_is_one_of <- " like"
}
if ( like_is_one_of == " is" ) {
mo_value <- paste0 ( " ^" , eucast_rules_df [i , 3 ] , " $" )
} else if ( like_is_one_of == " one_of" ) {
# "Clostridium, Actinomyces, ..." -> "^(Clostridium|Actinomyces|...)$"
mo_value <- paste0 ( " ^(" ,
paste ( trimws ( unlist ( strsplit ( eucast_rules_df [i , 3 ] , " ," , fixed = TRUE ) ) ) ,
collapse = " |" ) ,
" )$" )
} else if ( like_is_one_of == " like" ) {
mo_value <- eucast_rules_df [i , 3 ]
} else {
stop ( " invalid like_is_one_of" , call. = FALSE )
2018-10-18 12:10:10 +02:00
}
2018-10-17 17:32:34 +02:00
2019-04-05 18:47:39 +02:00
source_antibiotics <- eucast_rules_df [i , 4 ]
source_value <- trimws ( unlist ( strsplit ( eucast_rules_df [i , 5 ] , " ," , fixed = TRUE ) ) )
target_antibiotics <- eucast_rules_df [i , 6 ]
target_value <- eucast_rules_df [i , 7 ]
2018-10-18 12:10:10 +02:00
2019-04-05 18:47:39 +02:00
if ( is.na ( source_antibiotics ) ) {
rows <- tryCatch ( which ( tbl_ [ , col_mo_property ] %like% mo_value ) ,
error = function ( e ) integer ( 0 ) )
} else {
source_antibiotics <- get_antibiotic_columns ( source_antibiotics , tbl_ )
if ( length ( source_value ) == 1 & length ( source_antibiotics ) > 1 ) {
source_value <- rep ( source_value , length ( source_antibiotics ) )
}
if ( length ( source_antibiotics ) == 0 ) {
rows <- integer ( 0 )
} else if ( length ( source_antibiotics ) == 1 ) {
rows <- tryCatch ( which ( tbl_ [ , col_mo_property ] %like% mo_value
& tbl_ [ , source_antibiotics [1L ] ] == source_value [1L ] ) ,
error = function ( e ) integer ( 0 ) )
} else if ( length ( source_antibiotics ) == 2 ) {
rows <- tryCatch ( which ( tbl_ [ , col_mo_property ] %like% mo_value
& tbl_ [ , source_antibiotics [1L ] ] == source_value [1L ]
& tbl_ [ , source_antibiotics [2L ] ] == source_value [2L ] ) ,
error = function ( e ) integer ( 0 ) )
} else if ( length ( source_antibiotics ) == 3 ) {
rows <- tryCatch ( which ( tbl_ [ , col_mo_property ] %like% mo_value
& tbl_ [ , source_antibiotics [1L ] ] == source_value [1L ]
& tbl_ [ , source_antibiotics [2L ] ] == source_value [2L ]
& tbl_ [ , source_antibiotics [3L ] ] == source_value [3L ] ) ,
error = function ( e ) integer ( 0 ) )
} else {
stop ( " only 3 antibiotics supported for source_antibiotics " , call. = FALSE )
}
2018-10-18 12:10:10 +02:00
}
2019-04-05 18:47:39 +02:00
cols <- get_antibiotic_columns ( target_antibiotics , tbl_ )
2018-10-18 12:10:10 +02:00
2019-04-05 18:47:39 +02:00
# Apply rule on data ------------------------------------------------------
# this will return the unique number of changes
no_of_changes <- no_of_changes + edit_rsi ( to = target_value ,
rule = c ( rule_text , rule_group_current , rule_current ) ,
rows = rows ,
cols = cols )
2018-10-18 12:10:10 +02:00
2019-04-05 18:47:39 +02:00
# Print number of new changes ---------------------------------------------
if ( info == TRUE & rule_next != rule_current ) {
# print only on last one of rules in this group
txt_ok ( no_of_changes = no_of_changes )
no_of_changes <- 0
2018-11-01 17:06:08 +01:00
}
2019-04-05 18:47:39 +02:00
}
2018-04-02 16:05:09 +02:00
2019-04-05 18:47:39 +02:00
# Print overview ----------------------------------------------------------
2018-02-21 11:52:31 +01:00
if ( info == TRUE ) {
2018-10-19 00:57:10 +02:00
if ( verbose == TRUE ) {
wouldve <- " would have "
} else {
wouldve <- " "
}
2019-04-05 18:47:39 +02:00
verbose_info <- verbose_info %>%
arrange ( row , rule_group , rule_name , col )
2018-12-22 22:39:34 +01:00
decimal.mark <- getOption ( " OutDec" )
big.mark <- ifelse ( decimal.mark != " ," , " ," , " ." )
2019-02-08 16:06:54 +01:00
formatnr <- function ( x ) {
2019-04-05 18:47:39 +02:00
trimws ( format ( x , big.mark = big.mark , decimal.mark = decimal.mark ) )
}
cat ( paste0 ( " \n" , silver ( strrep ( " -" , options ( ) $ width - 1 ) ) , " \n" ) )
cat ( bold ( paste ( ' EUCAST rules' , paste0 ( wouldve , ' affected' ) ,
formatnr ( n_distinct ( verbose_info $ row ) ) ,
' out of' , formatnr ( nrow ( tbl_original ) ) ,
' rows, making a total of' , formatnr ( nrow ( verbose_info ) ) , ' edits\n' ) ) )
# print added values ----
if ( verbose_info %>% filter ( is.na ( old ) ) %>% nrow ( ) == 0 ) {
colour <- cat # is function
} else {
colour <- blue # is function
2019-02-08 16:06:54 +01:00
}
2019-04-05 18:47:39 +02:00
cat ( colour ( paste0 ( " => " , wouldve , " added " ,
bold ( formatnr ( verbose_info %>%
filter ( is.na ( old ) ) %>%
nrow ( ) ) , " test results" ) ,
2019-02-08 16:06:54 +01:00
" \n" ) ) )
2019-04-05 18:47:39 +02:00
if ( verbose_info %>% filter ( is.na ( old ) ) %>% nrow ( ) > 0 ) {
verbose_info %>%
filter ( is.na ( old ) ) %>%
# sort it well: S < I < R
mutate ( new = as.rsi ( new ) ) %>%
group_by ( new ) %>%
summarise ( n = n ( ) ) %>%
mutate ( plural = ifelse ( n > 1 , " s" , " " ) ,
txt = paste0 ( formatnr ( n ) , " test result" , plural , " added as " , new ) ) %>%
pull ( txt ) %>%
paste ( " -" , ., collapse = " \n" ) %>%
cat ( )
}
# print changed values ----
if ( verbose_info %>% filter ( ! is.na ( old ) ) %>% nrow ( ) == 0 ) {
colour <- cat # is function
} else {
colour <- blue # is function
}
cat ( colour ( paste0 ( " \n=> " , wouldve , " changed " ,
bold ( formatnr ( verbose_info %>%
filter ( ! is.na ( old ) ) %>%
nrow ( ) ) , " test results" ) ,
2019-02-08 16:06:54 +01:00
" \n" ) ) )
2019-04-05 18:47:39 +02:00
if ( verbose_info %>% filter ( ! is.na ( old ) ) %>% nrow ( ) > 0 ) {
verbose_info %>%
filter ( ! is.na ( old ) ) %>%
# sort it well: S < I < R
mutate ( old = as.rsi ( old ) ,
new = as.rsi ( new ) ) %>%
group_by ( old , new ) %>%
summarise ( n = n ( ) ) %>%
mutate ( plural = ifelse ( n > 1 , " s" , " " ) ,
txt = paste0 ( formatnr ( n ) , " test result" , plural , " changed from " , old , " to " , new ) ) %>%
pull ( txt ) %>%
paste ( " -" , ., collapse = " \n" ) %>%
cat ( )
cat ( " \n" )
}
cat ( paste0 ( silver ( strrep ( " -" , options ( ) $ width - 1 ) ) , " \n" ) )
if ( verbose == FALSE & nrow ( verbose_info ) > 0 ) {
cat ( paste ( " \nUse" , bold ( " verbose = TRUE" ) , " to get a data.frame with all specified edits instead.\n" ) )
2019-03-28 21:33:28 +01:00
}
2018-10-17 17:32:34 +02:00
}
2019-04-05 18:47:39 +02:00
# Return data set ---------------------------------------------------------
2018-10-19 00:17:03 +02:00
if ( verbose == TRUE ) {
2019-04-05 18:47:39 +02:00
verbose_info
} else {
tbl_original
2018-02-21 11:52:31 +01:00
}
}
2018-11-16 20:50:50 +01:00
#' @rdname eucast_rules
2019-04-05 18:47:39 +02:00
#' @importFrom dplyr %>% arrange
2018-11-16 20:50:50 +01:00
#' @export
2019-04-05 18:47:39 +02:00
eucast_rules_file <- function ( ) {
utils :: read.delim ( file = EUCAST_RULES_FILE_LOCATION ,
sep = " \t" ,
stringsAsFactors = FALSE ,
header = TRUE ,
strip.white = TRUE ,
na = c ( NA , " " , NULL ) ) %>%
arrange ( reference.rule_group ,
reference.rule )
2018-11-16 20:50:50 +01:00
}