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AMR/R/eucast_rules.R

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# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# SOURCE #
# https://gitlab.com/msberends/AMR #
# #
# LICENCE #
# (c) 2019 Berends MS (m.s.berends@umcg.nl), Luz CF (c.f.luz@umcg.nl) #
# #
# 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. #
# Visit our website for more info: https://msberends.gitlab.io/AMR. #
# ==================================================================== #
# global variables
EUCAST_VERSION_BREAKPOINTS <- "9.0, 2019"
EUCAST_VERSION_EXPERT_RULES <- "3.1, 2016"
#' EUCAST rules
#'
#' 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.
#' @param x data with antibiotic columns, like e.g. \code{AMX} and \code{AMC}
#' @param info print progress
#' @param rules a character vector that specifies which rules should be applied - one or more of \code{c("breakpoints", "expert", "other", "all")}
#' @param verbose a logical to turn Verbose mode on and off (default is off). In Verbose mode, the function does not apply rules to the data, but instead returns a \code{data.frame} with extensive info about which rows and columns would be effected and in which way.
#' @param ... column name of an antibiotic, see section Antibiotics
#' @inheritParams first_isolate
#' @details
#' \strong{Note:} This function does not translate MIC values to RSI values. Use \code{\link{as.rsi}} for that. \cr
#' \strong{Note:} When ampicillin (AMP, J01CA01) is not available but amoxicillin (AMX, 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.
#'
#' The file containing all EUCAST rules is located here: \url{https://gitlab.com/msberends/AMR/blob/master/data-raw/eucast_rules.tsv}.
#'
#' @section Antibiotics:
#' 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{TIC = NULL} to skip ticarcillin). Manually defined but non-existing columns will be skipped with a warning.
#'
#' The following antibiotics are used for the functions \code{\link{eucast_rules}} and \code{\link{mdro}}. These are shown in the format '\strong{antimicrobial ID}: name (\emph{ATC code})', sorted by name:
#'
#' \strong{AMK}: amikacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB06}{J01GB06}),
#' \strong{AMX}: amoxicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA04}{J01CA04}),
#' \strong{AMC}: amoxicillin/clavulanic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR02}{J01CR02}),
#' \strong{AMP}: ampicillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA01}{J01CA01}),
#' \strong{AZM}: azithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA10}{J01FA10}),
#' \strong{AZL}: azlocillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA09}{J01CA09}),
#' \strong{ATM}: aztreonam (\href{https://www.whocc.no/atc_ddd_index/?code=J01DF01}{J01DF01}),
#' \strong{CAP}: capreomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB30}{J04AB30}),
#' \strong{RID}: cefaloridine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB02}{J01DB02}),
#' \strong{CZO}: cefazolin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB04}{J01DB04}),
#' \strong{FEP}: cefepime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DE01}{J01DE01}),
#' \strong{CTX}: cefotaxime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD01}{J01DD01}),
#' \strong{FOX}: cefoxitin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DC01}{J01DC01}),
#' \strong{CED}: cefradine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB09}{J01DB09}),
#' \strong{CAZ}: ceftazidime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD02}{J01DD02}),
#' \strong{CRO}: ceftriaxone (\href{https://www.whocc.no/atc_ddd_index/?code=J01DD04}{J01DD04}),
#' \strong{CXM}: cefuroxime (\href{https://www.whocc.no/atc_ddd_index/?code=J01DC02}{J01DC02}),
#' \strong{CHL}: chloramphenicol (\href{https://www.whocc.no/atc_ddd_index/?code=J01BA01}{J01BA01}),
#' \strong{CIP}: ciprofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA02}{J01MA02}),
#' \strong{CLR}: clarithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA09}{J01FA09}),
#' \strong{CLI}: clindamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FF01}{J01FF01}),
#' \strong{COL}: colistin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB01}{J01XB01}),
#' \strong{DAP}: daptomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX09}{J01XX09}),
#' \strong{DOX}: doxycycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA02}{J01AA02}),
#' \strong{ETP}: ertapenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH03}{J01DH03}),
#' \strong{ERY}: erythromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA01}{J01FA01}),
#' \strong{ETH}: ethambutol (\href{https://www.whocc.no/atc_ddd_index/?code=J04AK02}{J04AK02}),
#' \strong{FLC}: flucloxacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CF05}{J01CF05}),
#' \strong{FOS}: fosfomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX01}{J01XX01}),
#' \strong{FUS}: fusidic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01XC01}{J01XC01}),
#' \strong{GAT}: gatifloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA16}{J01MA16}),
#' \strong{GEN}: gentamicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB03}{J01GB03}),
#' \strong{IPM}: imipenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH51}{J01DH51}),
#' \strong{INH}: isoniazid (\href{https://www.whocc.no/atc_ddd_index/?code=J04AC01}{J04AC01}),
#' \strong{KAN}: kanamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB04}{J01GB04}),
#' \strong{LVX}: levofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA12}{J01MA12}),
#' \strong{LIN}: lincomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FF02}{J01FF02}),
#' \strong{LNZ}: linezolid (\href{https://www.whocc.no/atc_ddd_index/?code=J01XX08}{J01XX08}),
#' \strong{MEM}: meropenem (\href{https://www.whocc.no/atc_ddd_index/?code=J01DH02}{J01DH02}),
#' \strong{MTR}: metronidazole (\href{https://www.whocc.no/atc_ddd_index/?code=J01XD01}{J01XD01}),
#' \strong{MEZ}: mezlocillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA10}{J01CA10}),
#' \strong{MNO}: minocycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA08}{J01AA08}),
#' \strong{MFX}: moxifloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA14}{J01MA14}),
#' \strong{NAL}: nalidixic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01MB02}{J01MB02}),
#' \strong{NEO}: neomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB05}{J01GB05}),
#' \strong{NET}: netilmicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB07}{J01GB07}),
#' \strong{NIT}: nitrofurantoin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XE01}{J01XE01}),
#' \strong{NOR}: norfloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA06}{J01MA06}),
#' \strong{NOV}: novobiocin (an ATCvet code: \href{https://www.whocc.no/atc_ddd_index/?code=QJ01XX95}{QJ01XX95}),
#' \strong{OFX}: ofloxacin (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA01}{J01MA01}),
#' \strong{OXA}: oxacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CF04}{J01CF04}),
#' \strong{PEN}: penicillin G (\href{https://www.whocc.no/atc_ddd_index/?code=J01CE01}{J01CE01}),
#' \strong{PIP}: piperacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA12}{J01CA12}),
#' \strong{TZP}: piperacillin/tazobactam (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR05}{J01CR05}),
#' \strong{PLB}: polymyxin B (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB02}{J01XB02}),
#' \strong{PRI}: pristinamycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG01}{J01FG01}),
#' \strong{PZA}: pyrazinamide (\href{https://www.whocc.no/atc_ddd_index/?code=J04AK01}{J04AK01}),
#' \strong{QDA}: quinupristin/dalfopristin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG02}{J01FG02}),
#' \strong{RIB}: rifabutin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB04}{J04AB04}),
#' \strong{RIF}: rifampicin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB02}{J04AB02}),
#' \strong{RIF}: rifampin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB02}{J04AB02}),
#' \strong{RFP}: rifapentine (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB05}{J04AB05}),
#' \strong{RXT}: roxithromycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FA06}{J01FA06}),
#' \strong{SIS}: sisomicin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB08}{J01GB08}),
#' \strong{TEC}: teicoplanin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XA02}{J01XA02}),
#' \strong{TCY}: tetracycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA07}{J01AA07}),
#' \strong{TIC}: ticarcillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CA13}{J01CA13}),
#' \strong{TGC}: tigecycline (\href{https://www.whocc.no/atc_ddd_index/?code=J01AA12}{J01AA12}),
#' \strong{TOB}: tobramycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01GB01}{J01GB01}),
#' \strong{TMP}: trimethoprim (\href{https://www.whocc.no/atc_ddd_index/?code=J01EA01}{J01EA01}),
#' \strong{SXT}: trimethoprim/sulfamethoxazole (\href{https://www.whocc.no/atc_ddd_index/?code=J01EE01}{J01EE01}),
#' \strong{VAN}: vancomycin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XA01}{J01XA01}).
#' @keywords interpretive eucast reading resistance
#' @rdname eucast_rules
#' @export
#' @importFrom dplyr %>% select pull mutate_at vars group_by summarise n
#' @importFrom crayon bold bgGreen bgYellow bgRed black green blue italic strip_style white red
#' @return The input of \code{x}, 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.
#' @source
#' \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{
#' 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}
#' }
#' }
#' @inheritSection AMR Read more on our website!
#' @examples
#' a <- eucast_rules(septic_patients)
#'
#' a <- data.frame(mo = c("Staphylococcus aureus",
#' "Enterococcus faecalis",
#' "Escherichia coli",
#' "Klebsiella pneumoniae",
#' "Pseudomonas aeruginosa"),
#' VAN = "-", # Vancomycin
#' AMX = "-", # Amoxicillin
#' COL = "-", # Colistin
#' CAZ = "-", # Ceftazidime
#' CXM = "-", # Cefuroxime
#' PEN = "S", # Penicillin G
#' FOX = "S", # Cefoxitin
#' stringsAsFactors = FALSE)
#'
#' a
#' # mo VAN AMX COL CAZ CXM PEN FOX
#' # 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
#'
#'
#' # apply EUCAST rules: 18 results are forced as R or S
#' b <- eucast_rules(a)
#'
#' b
#' # mo VAN AMX COL CAZ CXM PEN FOX
#' # 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
#'
#'
#' # 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)
eucast_rules <- function(x,
col_mo = NULL,
info = TRUE,
rules = c("breakpoints", "expert", "other", "all"),
verbose = FALSE,
...) {
if (!is.data.frame(x)) {
stop("`x` must be a data frame.", call. = FALSE)
}
# try to find columns based on type
# -- mo
if (is.null(col_mo)) {
col_mo <- search_type_in_df(x = x, type = "mo")
}
if (is.null(col_mo)) {
stop("`col_mo` must be set.", call. = FALSE)
}
if (!all(rules %in% c("breakpoints", "expert", "other", "all"))) {
stop("`rules` must be one or more of: 'breakpoints', 'expert', 'other', 'all'.")
}
if (is.null(col_mo)) {
stop("`col_mo` must be set")
}
decimal.mark <- getOption("OutDec")
big.mark <- ifelse(decimal.mark != ",", ",", ".")
formatnr <- function(x) {
trimws(format(x, big.mark = big.mark, decimal.mark = decimal.mark))
}
warned <- FALSE
txt_error <- function() { cat("", bgRed(white(" ERROR ")), "\n") }
txt_warning <- function() { if (warned == FALSE) { cat("", bgYellow(black(" WARNING ")), "\n") }; warned <<- TRUE }
txt_ok <- function(no_of_changes) {
if (warned == FALSE) {
if (no_of_changes > 0) {
if (no_of_changes == 1) {
cat(blue(" (1 new change)\n"))
} else {
cat(blue(paste0(" (", formatnr(no_of_changes), " new changes)\n")))
}
} else {
cat(green(" (no new changes)\n"))
}
warned <<- FALSE
}
}
cols_ab <- get_column_abx(x = x,
soft_dependencies = c("AMC",
"AMK",
"AMX",
"AMP",
"AZM",
"AZL",
"ATM",
"RID",
"FEP",
"CTX",
"FOX",
"CED",
"CAZ",
"CRO",
"CXM",
"CHL",
"CIP",
"CLR",
"CLI",
"FLC",
"COL",
"CZO",
"DAP",
"DOX",
"ETP",
"ERY",
"FOS",
"FUS",
"GEN",
"IPM",
"KAN",
"LVX",
"LIN",
"LNZ",
"MEM",
"MEZ",
"MNO",
"MFX",
"NAL",
"NEO",
"NET",
"NIT",
"NOR",
"NOV",
"OFX",
"OXA",
"PEN",
"PIP",
"TZP",
"PLB",
"PRI",
"QDA",
"RIF",
"RXT",
"SIS",
"TEC",
"TCY",
"TIC",
"TGC",
"TOB",
"TMP",
"SXT",
"VAN"),
hard_dependencies = NULL,
verbose = verbose,
...)
AMC <- cols_ab['AMC']
AMK <- cols_ab['AMK']
AMP <- cols_ab['AMP']
AMX <- cols_ab['AMX']
ATM <- cols_ab['ATM']
AZL <- cols_ab['AZL']
AZM <- cols_ab['AZM']
CAZ <- cols_ab['CAZ']
CED <- cols_ab['CED']
CHL <- cols_ab['CHL']
CIP <- cols_ab['CIP']
CLI <- cols_ab['CLI']
CLR <- cols_ab['CLR']
COL <- cols_ab['COL']
CRO <- cols_ab['CRO']
CTX <- cols_ab['CTX']
CXM <- cols_ab['CXM']
CZO <- cols_ab['CZO']
DAP <- cols_ab['DAP']
DOX <- cols_ab['DOX']
ERY <- cols_ab['ERY']
ETP <- cols_ab['ETP']
FEP <- cols_ab['FEP']
FLC <- cols_ab['FLC']
FOS <- cols_ab['FOS']
FOX <- cols_ab['FOX']
FUS <- cols_ab['FUS']
GEN <- cols_ab['GEN']
IPM <- cols_ab['IPM']
KAN <- cols_ab['KAN']
LIN <- cols_ab['LIN']
LNZ <- cols_ab['LNZ']
LVX <- cols_ab['LVX']
MEM <- cols_ab['MEM']
MEZ <- cols_ab['MEZ']
MFX <- cols_ab['MFX']
MNO <- cols_ab['MNO']
NAL <- cols_ab['NAL']
NEO <- cols_ab['NEO']
NET <- cols_ab['NET']
NIT <- cols_ab['NIT']
NOR <- cols_ab['NOR']
NOV <- cols_ab['NOV']
OFX <- cols_ab['OFX']
OXA <- cols_ab['OXA']
PEN <- cols_ab['PEN']
PIP <- cols_ab['PIP']
PLB <- cols_ab['PLB']
PRI <- cols_ab['PRI']
QDA <- cols_ab['QDA']
RID <- cols_ab['RID']
RIF <- cols_ab['RIF']
RXT <- cols_ab['RXT']
SIS <- cols_ab['SIS']
SXT <- cols_ab['SXT']
TCY <- cols_ab['TCY']
TEC <- cols_ab['TEC']
TGC <- cols_ab['TGC']
TIC <- cols_ab['TIC']
TMP <- cols_ab['TMP']
TOB <- cols_ab['TOB']
TZP <- cols_ab['TZP']
VAN <- cols_ab['VAN']
ab_missing <- function(ab) {
all(ab %in% c(NULL, NA))
}
verbose_info <- data.frame(row = integer(0),
col = character(0),
mo_fullname = character(0),
old = character(0),
new = character(0),
rule = character(0),
rule_group = character(0),
rule_name = character(0),
stringsAsFactors = FALSE)
# helper function for editing the table
edit_rsi <- function(to, rule, rows, cols) {
cols <- unique(cols[!is.na(cols) & !is.null(cols)])
if (length(rows) > 0 & length(cols) > 0) {
before_df <- x_original
before <- as.character(unlist(as.list(x_original[rows, cols])))
tryCatch(
# insert into original table
x_original[rows, cols] <<- to,
warning = function(w) {
if (w$message %like% 'invalid factor level') {
warning('Value "', to, '" could not be applied to column(s) `', paste(cols, collapse = '`, `'), '` because this value is not an existing factor level. You can use as.rsi() to fix this.', call. = FALSE)
} else {
warning(w$message, call. = FALSE)
}
txt_warning()
},
error = function(e) {
txt_error()
stop(e, call. = FALSE)
}
)
x[rows, cols] <<- x_original[rows, cols]
after <- as.character(unlist(as.list(x_original[rows, cols])))
# 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 = x[rows, "fullname"],
old = as.character(old[, cols[i]]),
new = as.character(x[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)
}
# return number of (new) changes
return(no_of_changes_this_run)
}
# return number of (new) changes: none.
return(0)
}
# save original table
x_original <- x
# join to microorganisms data set
suppressWarnings(
x <- x %>%
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)
)
if (info == TRUE) {
cat(paste0(
"\nRules by the ", bold("European Committee on Antimicrobial Susceptibility Testing (EUCAST)"),
"\n", blue("http://eucast.org/"), "\n"))
}
# since ampicillin ^= amoxicillin, get the first from the latter (not in original EUCAST table)
if (!ab_missing(AMP) & !ab_missing(AMX)) {
if (verbose == TRUE) {
cat("\n VERBOSE: transforming",
length(which(x[, AMX] == "S" & !x[, AMP] %in% c("S", "I", "R"))),
"empty ampicillin fields to 'S' based on amoxicillin. ")
cat("\n VERBOSE: transforming",
length(which(x[, AMX] == "I" & !x[, AMP] %in% c("S", "I", "R"))),
"empty ampicillin fields to 'I' based on amoxicillin. ")
cat("\n VERBOSE: transforming",
length(which(x[, AMX] == "R" & !x[, AMP] %in% c("S", "I", "R"))),
"empty ampicillin fields to 'R' based on amoxicillin. \n")
}
x[which(x[, AMX] == "S" & !x[, AMP] %in% c("S", "I", "R")), AMP] <- "S"
x[which(x[, AMX] == "I" & !x[, AMP] %in% c("S", "I", "R")), AMP] <- "I"
x[which(x[, AMX] == "R" & !x[, AMP] %in% c("S", "I", "R")), AMP] <- "R"
} else if (ab_missing(AMP) & !ab_missing(AMX)) {
# ampicillin column is missing, but amoxicillin is available
message(blue(paste0("NOTE: Using column `", bold(AMX), "` as input for ampicillin (J01CA01) since many EUCAST rules depend on it.")))
AMP <- AMX
}
# antibiotic classes
aminoglycosides <- c(TOB, GEN, KAN, NEO, NET, SIS)
tetracyclines <- c(DOX, MNO, TCY) # since EUCAST v3.1 tigecycline (TGC) is set apart
polymyxins <- c(PLB, COL)
macrolides <- c(ERY, AZM, RXT, CLR) # since EUCAST v3.1 clinda is set apart
glycopeptides <- c(VAN, TEC)
streptogramins <- c(QDA, PRI) # should officially also be quinupristin/dalfopristin
aminopenicillins <- c(AMP, AMX)
cephalosporins <- c(FEP, CTX, FOX, CED, CAZ, CRO, CXM, CZO)
cephalosporins_without_CAZ <- cephalosporins[cephalosporins != ifelse(is.null(CAZ), "", CAZ)]
carbapenems <- c(ETP, IPM, MEM)
ureidopenicillins <- c(PIP, TZP, AZL, MEZ)
all_betalactams <- c(aminopenicillins, cephalosporins, carbapenems, ureidopenicillins, AMC, OXA, FLC, PEN)
fluoroquinolones <- c(OFX, CIP, NOR, LVX, MFX)
# 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) ""))
}
y[y != "" & y %in% colnames(df)]
}
get_antibiotic_names <- function(x) {
x %>%
strsplit(",") %>%
unlist() %>%
trimws() %>%
sapply(function(x) if(x %in% AMR::antibiotics$ab) ab_name(x, language = NULL, tolower = TRUE) else x) %>%
sort() %>%
paste(collapse = ", ")
}
eucast_rules_df <- eucast_rules_file # internal data 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"]
if (is.na(eucast_rules_df[i, 4])) {
rule_text <- paste0("always report as '", eucast_rules_df[i, 7], "': ", get_antibiotic_names(eucast_rules_df[i, 6]))
} else {
rule_text <- paste0("report as '", eucast_rules_df[i, 7], "' when ",
get_antibiotic_names(eucast_rules_df[i, 4]), " is '", eucast_rules_df[i, 5], "': ",
get_antibiotic_names(eucast_rules_df[i, 6]))
}
if (i == 1) {
rule_previous <- ""
rule_group_previous <- ""
}
if (i == nrow(eucast_rules_df)) {
rule_next <- ""
rule_group_next <- ""
}
# 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
}
if (rule_group_current %like% "expert" & !any(c("all", "expert") %in% rules)) {
next
}
if (rule_group_current %like% "other" & !any(c("all", "other") %in% rules)) {
next
}
if (info == TRUE) {
# 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$fullname)) {
cat(italic(rule_current))
} else {
cat(rule_current)
}
warned <- FALSE
}
}
# Get rule from file ------------------------------------------------------
col_mo_property <- eucast_rules_df[i, 1]
like_is_one_of <- eucast_rules_df[i, 2]
# be sure to comprise all coagulase-negative/-positive Staphylococci when they are mentioned
if (eucast_rules_df[i, 3] %like% "coagulase-") {
suppressWarnings(
all_staph <- AMR::microorganisms %>%
filter(genus == "Staphylococcus") %>%
mutate(CNS_CPS = mo_fullname(mo, Becker = "all"))
)
if (eucast_rules_df[i, 3] %like% "coagulase-") {
eucast_rules_df[i, 3] <- paste0("^(",
paste0(all_staph %>%
filter(CNS_CPS %like% "coagulase-negative") %>%
pull(fullname),
collapse = "|"),
")$")
} 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)
}
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]
if (is.na(source_antibiotics)) {
rows <- tryCatch(which(x[, col_mo_property] %like% mo_value),
error = function(e) integer(0))
} else {
source_antibiotics <- get_antibiotic_columns(source_antibiotics, x)
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(x[, col_mo_property] %like% mo_value
& x[, source_antibiotics[1L]] == source_value[1L]),
error = function(e) integer(0))
} else if (length(source_antibiotics) == 2) {
rows <- tryCatch(which(x[, col_mo_property] %like% mo_value
& x[, source_antibiotics[1L]] == source_value[1L]
& x[, source_antibiotics[2L]] == source_value[2L]),
error = function(e) integer(0))
} else if (length(source_antibiotics) == 3) {
rows <- tryCatch(which(x[, col_mo_property] %like% mo_value
& x[, source_antibiotics[1L]] == source_value[1L]
& x[, source_antibiotics[2L]] == source_value[2L]
& x[, source_antibiotics[3L]] == source_value[3L]),
error = function(e) integer(0))
} else {
stop("only 3 antibiotics supported for source_antibiotics ", call. = FALSE)
}
}
cols <- get_antibiotic_columns(target_antibiotics, x)
# 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)
# 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
}
}
# Print overview ----------------------------------------------------------
if (info == TRUE) {
if (verbose == TRUE) {
wouldve <- "would have "
} else {
wouldve <- ""
}
verbose_info <- verbose_info %>%
arrange(row, rule_group, rule_name, col)
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(x_original)),
'rows, making a total of', formatnr(nrow(verbose_info)), 'edits\n')))
n_added <- verbose_info %>% filter(is.na(old)) %>% nrow()
n_changed <- verbose_info %>% filter(!is.na(old)) %>% nrow()
# print added values ----
if (n_added == 0) {
colour <- cat # is function
} else {
colour <- blue # is function
}
cat(colour(paste0("=> ", wouldve, "added ",
bold(formatnr(verbose_info %>%
filter(is.na(old)) %>%
nrow()), "test results"),
"\n")))
if (n_added > 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 (n_changed == 0) {
colour <- cat # is function
} else {
colour <- blue # is function
}
if (n_added + n_changed > 0) {
cat("\n")
}
cat(colour(paste0("=> ", wouldve, "changed ",
bold(formatnr(verbose_info %>%
filter(!is.na(old)) %>%
nrow()), "test results"),
"\n")))
if (n_changed > 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"), "(on your original data) to get a data.frame with all specified edits instead.\n"))
} else if (verbose == TRUE) {
cat(paste(red("\nUsed 'Verbose mode' (verbose = TRUE)."), "This returns a data.frame with all specified edits.\nUse", bold("verbose = FALSE"), "to apply the rules on your data.\n"))
}
}
# Return data set ---------------------------------------------------------
if (verbose == TRUE) {
verbose_info
} else {
x_original
}
}
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