# ==================================================================== # # 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_RULES_FILE_LOCATION <- system.file("eucast/eucast_rules.tsv", package = "AMR") 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 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. #' @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 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 \code{eucast_rules()} can be found by running this command: \cr #' \code{AMR::EUCAST_RULES_FILE_LOCATION} (without brackets). #' #' In the source code the file containing all rules is located \href{https://gitlab.com/msberends/AMR/blob/master/inst/eucast/eucast_rules.tsv}{here}. #' #' @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. #' #' Available abbrevations of the column containing antibiotics in the form '\strong{antimicrobial ID}: name (\emph{ATC code})': #' #' \strong{AMC}: amoxicillin/clavulanic acid (\href{https://www.whocc.no/atc_ddd_index/?code=J01CR02}{J01CR02}), #' \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{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{RID}: cefaloridine (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB02}{J01DB02}), #' \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{FLC}: flucloxacillin (\href{https://www.whocc.no/atc_ddd_index/?code=J01CF05}{J01CF05}), #' \strong{COL}: colistin (\href{https://www.whocc.no/atc_ddd_index/?code=J01XB01}{J01XB01}), #' \strong{CZO}: cefazolin (\href{https://www.whocc.no/atc_ddd_index/?code=J01DB04}{J01DB04}), #' \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{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{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{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{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{MTR}: metronidazole (\href{https://www.whocc.no/atc_ddd_index/?code=J01MA14}{J01XD01}), #' \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=J01MA01}{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{QDA}: quinupristin/dalfopristin (\href{https://www.whocc.no/atc_ddd_index/?code=J01FG02}{J01FG02}), #' \strong{RIF}: rifampicin (\href{https://www.whocc.no/atc_ddd_index/?code=J04AB02}{J04AB02}), #' \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 #' @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. #' @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} #' } #' } #' #' 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 AMC. They can be separated by comma: \code{"AMC, 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). #' @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, ...) { tbl_ <- x if (!is.data.frame(tbl_)) { 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(tbl = tbl_, 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") } 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(" (", 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 <- tbl_original before <- as.character(unlist(as.list(tbl_original[rows, cols]))) 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) } ) tbl_[rows, cols] <<- tbl_original[rows, cols] after <- as.character(unlist(as.list(tbl_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 = 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) } # return number of (new) changes return(no_of_changes_this_run) } # return number of (new) changes: none. return(0) } # save original table tbl_original <- tbl_ # join to microorganisms data set 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) ) 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(tbl_[, AMX] == "S" & !tbl_[, AMP] %in% c("S", "I", "R"))), "empty ampicillin fields to 'S' based on amoxicillin. ") cat("\n VERBOSE: transforming", length(which(tbl_[, AMX] == "I" & !tbl_[, AMP] %in% c("S", "I", "R"))), "empty ampicillin fields to 'I' based on amoxicillin. ") cat("\n VERBOSE: transforming", length(which(tbl_[, AMX] == "R" & !tbl_[, AMP] %in% c("S", "I", "R"))), "empty ampicillin fields to 'R' based on amoxicillin. \n") } tbl_[which(tbl_[, AMX] == "S" & !tbl_[, AMP] %in% c("S", "I", "R")), AMP] <- "S" tbl_[which(tbl_[, AMX] == "I" & !tbl_[, AMP] %in% c("S", "I", "R")), AMP] <- "I" tbl_[which(tbl_[, AMX] == "R" & !tbl_[, 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)] } 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"] if (is.na(eucast_rules_df[i, 4])) { rule_text <- paste("always:", 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]) } 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(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) } } cols <- get_antibiotic_columns(target_antibiotics, tbl_) # 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) decimal.mark <- getOption("OutDec") big.mark <- ifelse(decimal.mark != ",", ",", ".") formatnr <- function(x) { 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$row)), 'out of', formatnr(nrow(tbl_original)), 'rows, making a total of', formatnr(nrow(verbose_info)), 'edits\n'))) n_added <- verbose_info %>% filter(is.na(old)) %>% nrow() n_changed <- verbose_info %>% filter(!is.na(old)) %>% nrow() # print added values ---- if (n_added == 0) { colour <- cat # is function } else { colour <- blue # is function } cat(colour(paste0("=> ", wouldve, "added ", bold(formatnr(verbose_info %>% filter(is.na(old)) %>% nrow()), "test results"), "\n"))) if (n_added > 0) { verbose_info %>% filter(is.na(old)) %>% # sort it well: S < I < R mutate(new = as.rsi(new)) %>% group_by(new) %>% summarise(n = n()) %>% mutate(plural = ifelse(n > 1, "s", ""), txt = paste0(formatnr(n), " test result", plural, " added as ", new)) %>% pull(txt) %>% paste(" -", ., collapse = "\n") %>% cat() } # print changed values ---- if (n_changed == 0) { colour <- cat # is function } else { colour <- blue # is function } if (n_added + n_changed > 0) { cat("\n") } cat(colour(paste0("=> ", wouldve, "changed ", bold(formatnr(verbose_info %>% filter(!is.na(old)) %>% nrow()), "test results"), "\n"))) if (n_changed > 0) { verbose_info %>% filter(!is.na(old)) %>% # sort it well: S < I < R mutate(old = as.rsi(old), new = as.rsi(new)) %>% group_by(old, new) %>% summarise(n = n()) %>% mutate(plural = ifelse(n > 1, "s", ""), txt = paste0(formatnr(n), " test result", plural, " changed from ", old, " to ", new)) %>% pull(txt) %>% paste(" -", ., collapse = "\n") %>% cat() cat("\n") } cat(paste0(silver(strrep("-", options()$width - 1)), "\n")) if (verbose == FALSE & nrow(verbose_info) > 0) { cat(paste("\nUse", bold("verbose = TRUE"), "to get a data.frame with all specified edits instead.\n")) } } # Return data set --------------------------------------------------------- if (verbose == TRUE) { verbose_info } else { tbl_original } } #' @rdname eucast_rules #' @importFrom dplyr %>% arrange #' @export 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) }