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support for Dutch national MDR guideline

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dr. M.S. (Matthijs) Berends 2024-12-15 20:15:52 +01:00
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R/mdro.R
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@ -29,7 +29,7 @@
#' Determine Multidrug-Resistant Organisms (MDRO) #' Determine Multidrug-Resistant Organisms (MDRO)
#' #'
#' Determine which isolates are multidrug-resistant organisms (MDRO) according to international, national and custom guidelines. #' Determine which isolates are multidrug-resistant organisms (MDRO) according to international, national, or custom guidelines.
#' @param x a [data.frame] with antibiotics columns, like `AMX` or `amox`. Can be left blank for automatic determination. #' @param x a [data.frame] with antibiotics columns, like `AMX` or `amox`. Can be left blank for automatic determination.
#' @param guideline a specific guideline to follow, see sections *Supported international / national guidelines* and *Using Custom Guidelines* below. When left empty, the publication by Magiorakos *et al.* (see below) will be followed. #' @param guideline a specific guideline to follow, see sections *Supported international / national guidelines* and *Using Custom Guidelines* below. When left empty, the publication by Magiorakos *et al.* (see below) will be followed.
#' @param ... in case of [custom_mdro_guideline()]: a set of rules, see section *Using Custom Guidelines* below. Otherwise: column name of an antibiotic, see section *Antibiotics* below. #' @param ... in case of [custom_mdro_guideline()]: a set of rules, see section *Using Custom Guidelines* below. Otherwise: column name of an antibiotic, see section *Antibiotics* below.
@ -76,9 +76,15 @@
#' #'
#' * `guideline = "BRMO"` #' * `guideline = "BRMO"`
#' #'
#' The Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu "WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)" ([link](https://www.rivm.nl/wip-richtlijn-brmo-bijzonder-resistente-micro-organismen-zkh)) #' The Dutch national guideline - Samenwerkingverband Richtlijnen Infectiepreventie (SRI) (2024) "Bijzonder Resistente Micro-Organismen (BRMO)" ([link](https://www.sri-richtlijnen.nl/brmo))
#'
#' Also:
#'
#' * `guideline = "BRMO 2017"`
#' #'
#' Please suggest your own (country-specific) guidelines by letting us know: <https://github.com/msberends/AMR/issues/new>. #' The former Dutch national guideline - Werkgroep Infectiepreventie (WIP), RIVM, last revision as of 2017: "Bijzonder Resistente Micro-Organismen (BRMO)"
#'
#' Please suggest to implement guidelines by letting us know: <https://github.com/msberends/AMR/issues/new>.
#' #'
#' @section Using Custom Guidelines: #' @section Using Custom Guidelines:
#' #'
@ -333,7 +339,7 @@ mdro <- function(x = NULL,
if (guideline$code == "cmi2012") { if (guideline$code == "cmi2012") {
guideline$name <- "Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance." guideline$name <- "Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance."
guideline$author <- "Magiorakos AP, Srinivasan A, Carey RB, ..., Vatopoulos A, Weber JT, Monnet DL" guideline$author <- "Magiorakos AP, Srinivasan A, Carey RB, ..., Vatopoulos A, Weber JT, Monnet DL"
guideline$version <- NA guideline$version <- NA_character_
guideline$source_url <- paste0("Clinical Microbiology and Infection 18:3, 2012; ", font_url("https://doi.org/10.1111/j.1469-0691.2011.03570.x", "doi: 10.1111/j.1469-0691.2011.03570.x")) guideline$source_url <- paste0("Clinical Microbiology and Infection 18:3, 2012; ", font_url("https://doi.org/10.1111/j.1469-0691.2011.03570.x", "doi: 10.1111/j.1469-0691.2011.03570.x"))
guideline$type <- "MDRs/XDRs/PDRs" guideline$type <- "MDRs/XDRs/PDRs"
} else if (guideline$code == "eucast3.1") { } else if (guideline$code == "eucast3.1") {
@ -365,14 +371,21 @@ mdro <- function(x = NULL,
} else if (guideline$code == "mrgn") { } else if (guideline$code == "mrgn") {
guideline$name <- "Cross-border comparison of the Dutch and German guidelines on multidrug-resistant Gram-negative microorganisms" guideline$name <- "Cross-border comparison of the Dutch and German guidelines on multidrug-resistant Gram-negative microorganisms"
guideline$author <- "M\u00fcller J, Voss A, K\u00f6ck R, ..., Kern WV, Wendt C, Friedrich AW" guideline$author <- "M\u00fcller J, Voss A, K\u00f6ck R, ..., Kern WV, Wendt C, Friedrich AW"
guideline$version <- NA guideline$version <- NA_character_
guideline$source_url <- paste0("Antimicrobial Resistance and Infection Control 4:7, 2015; ", font_url("https://doi.org/10.1186/s13756-015-0047-6", "doi: 10.1186/s13756-015-0047-6")) guideline$source_url <- paste0("Antimicrobial Resistance and Infection Control 4:7, 2015; ", font_url("https://doi.org/10.1186/s13756-015-0047-6", "doi: 10.1186/s13756-015-0047-6"))
guideline$type <- "MRGNs" guideline$type <- "MRGNs"
} else if (guideline$code == "brmo") { } else if (guideline$code == "brmo") {
combine_SI <- TRUE # I must not be considered resistant
guideline$name <- "Bijzonder Resistente Micro-organismen (BRMO)"
guideline$author <- "Samenwerkingsverband Richtlijnen Infectiepreventie (SRI)"
guideline$version <- "November 2024"
guideline$source_url <- font_url("https://www.sri-richtlijnen.nl/brmo", "Direct link")
guideline$type <- "BRMOs"
} else if (guideline$code == "brmo2017") {
guideline$name <- "WIP-Richtlijn Bijzonder Resistente Micro-organismen (BRMO)" guideline$name <- "WIP-Richtlijn Bijzonder Resistente Micro-organismen (BRMO)"
guideline$author <- "RIVM (Rijksinstituut voor de Volksgezondheid)" guideline$author <- "RIVM (Rijksinstituut voor de Volksgezondheid)"
guideline$version <- "Revision as of December 2017" guideline$version <- "Last revision (December 2017) - since 2024 superseded by SRI guideline"
guideline$source_url <- font_url("https://www.rivm.nl/Documenten_en_publicaties/Professioneel_Praktisch/Richtlijnen/Infectieziekten/WIP_Richtlijnen/WIP_Richtlijnen/Ziekenhuizen/WIP_richtlijn_BRMO_Bijzonder_Resistente_Micro_Organismen_ZKH", "Direct download") guideline$source_url <- NA_character_
guideline$type <- "BRMOs" guideline$type <- "BRMOs"
} else { } else {
stop("This guideline is currently unsupported: ", guideline$code, call. = FALSE) stop("This guideline is currently unsupported: ", guideline$code, call. = FALSE)
@ -429,6 +442,17 @@ mdro <- function(x = NULL,
fn = "mdro", fn = "mdro",
... ...
) )
} else if (guideline$code == "brmo") {
# Dutch 2024 guideline
cols_ab <- get_column_abx(
x = x,
soft_dependencies = c("SXT", "GEN", "TOB", "AMK", "IPM", "MEM", "CIP", "LVX", "NOR", "PIP", "CAZ", "VAN", "PEN", "AMX", "AMP", "FLC", "OXA", "FOX", "FOX1"),
verbose = verbose,
info = info,
only_sir_columns = only_sir_columns,
fn = "mdro",
...
)
} else if (guideline$code == "mrgn") { } else if (guideline$code == "mrgn") {
cols_ab <- get_column_abx( cols_ab <- get_column_abx(
x = x, x = x,
@ -524,6 +548,7 @@ mdro <- function(x = NULL,
FLE <- cols_ab["FLE"] FLE <- cols_ab["FLE"]
FOS <- cols_ab["FOS"] FOS <- cols_ab["FOS"]
FOX <- cols_ab["FOX"] FOX <- cols_ab["FOX"]
FOX1 <- cols_ab["FOX1"]
FUS <- cols_ab["FUS"] FUS <- cols_ab["FUS"]
GAT <- cols_ab["GAT"] GAT <- cols_ab["GAT"]
GEH <- cols_ab["GEH"] GEH <- cols_ab["GEH"]
@ -651,7 +676,7 @@ mdro <- function(x = NULL,
# nolint end # nolint end
# helper function for editing the table # helper function for editing the table
trans_tbl <- function(to, rows, cols, any_all) { trans_tbl <- function(to, rows, cols, any_all, reason = NULL) {
cols <- cols[!ab_missing(cols)] cols <- cols[!ab_missing(cols)]
cols <- cols[!is.na(cols)] cols <- cols[!is.na(cols)]
if (length(rows) > 0 && length(cols) > 0) { if (length(rows) > 0 && length(cols) > 0) {
@ -680,14 +705,14 @@ mdro <- function(x = NULL,
) )
} }
) )
if (any_all == "any") { if (any_all == "any") {
search_function <- any search_function <- any
} else if (any_all == "all") { } else if (any_all == "all") {
search_function <- all search_function <- all
} }
x_transposed <- as.list(as.data.frame(t(x[, cols, drop = FALSE]), x_transposed <- as.list(as.data.frame(t(x[, cols, drop = FALSE]),
stringsAsFactors = FALSE stringsAsFactors = FALSE
)) ))
rows_affected <- vapply( rows_affected <- vapply(
FUN.VALUE = logical(1), FUN.VALUE = logical(1),
@ -696,17 +721,21 @@ mdro <- function(x = NULL,
) )
rows_affected <- x[which(rows_affected), "row_number", drop = TRUE] rows_affected <- x[which(rows_affected), "row_number", drop = TRUE]
rows_to_change <- rows[rows %in% rows_affected] rows_to_change <- rows[rows %in% rows_affected]
rows_not_to_change <- rows[!rows %in% c(rows_affected, rows_to_change)]
rows_not_to_change <- rows_not_to_change[is.na(x[rows_not_to_change, "reason"])]
if (is.null(reason)) {
reason <- paste0(any_all,
" of the required antibiotics ",
ifelse(any_all == "any", "is", "are"),
" R",
ifelse(!isTRUE(combine_SI), " or I", ""))
}
x[rows_to_change, "MDRO"] <<- to x[rows_to_change, "MDRO"] <<- to
x[rows_to_change, "reason"] <<- paste0( x[rows_to_change, "reason"] <<- reason
any_all, x[rows_not_to_change, "reason"] <<- "guideline criteria not met"
" of the required antibiotics ",
ifelse(any_all == "any", "is", "are"),
" R",
ifelse(!isTRUE(combine_SI), " or I", "")
)
} }
} }
trans_tbl2 <- function(txt, rows, lst) { trans_tbl2 <- function(txt, rows, lst) {
if (isTRUE(info)) { if (isTRUE(info)) {
message_(txt, "...", appendLF = FALSE, as_note = FALSE) message_(txt, "...", appendLF = FALSE, as_note = FALSE)
@ -784,7 +813,7 @@ mdro <- function(x = NULL,
x <- left_join_microorganisms(x, by = col_mo) x <- left_join_microorganisms(x, by = col_mo)
x$MDRO <- ifelse(!is.na(x$genus), 1, NA_integer_) x$MDRO <- ifelse(!is.na(x$genus), 1, NA_integer_)
x$row_number <- seq_len(nrow(x)) x$row_number <- seq_len(nrow(x))
x$reason <- paste0("not covered by ", toupper(guideline$code), " guideline") x$reason <- NA_character_
x$columns_nonsusceptible <- "" x$columns_nonsusceptible <- ""
if (guideline$code == "cmi2012") { if (guideline$code == "cmi2012") {
@ -1402,7 +1431,147 @@ mdro <- function(x = NULL,
} }
if (guideline$code == "brmo") { if (guideline$code == "brmo") {
# Netherlands ------------------------------------------------------------- # Netherlands 2024 --------------------------------------------------------
aminoglycosides <- c(GEN, TOB, AMK) # note 4: gentamicin or tobramycin or amikacin
aminoglycosides_serratia_marcescens <- GEN # note 4: TOB and AMK do not count towards S. marcescens
fluoroquinolones <- c(CIP, NOR, LVX) # note 5: ciprofloxacin or norfloxacin or levofloxacin
carbapenems <- carbapenems[!is.na(carbapenems)]
carbapenems_without_imipenem <- carbapenems[carbapenems != IPM]
amino <- AMX %or% AMP
third <- CAZ %or% CTX
ESBLs <- c(amino, third)
ESBLs <- ESBLs[!is.na(ESBLs)]
if (length(ESBLs) != 2) {
ESBLs <- character(0)
}
# Enterobacterales
if (length(ESBLs) > 0) {
trans_tbl(
2, # positive, unconfirmed
which(x$order == "Enterobacterales" & x[[ESBLs[1]]] == "R" & x[[ESBLs[2]]] == "R"),
c(AMX %or% AMP, cephalosporins_3rd),
"all",
reason = "Enterobacterales: ESBL"
)
}
trans_tbl(
3, # positive
which(x$order == "Enterobacterales" & (x$genus %in% c("Proteus", "Providencia") | paste(x$genus, x$species) %in% c("Serratia marcescens", "Morganella morganii"))),
carbapenems_without_imipenem,
"any",
reason = "Enterobacterales: carbapenem or carbapenemase"
)
trans_tbl(
3,
which(x$order == "Enterobacterales" & !(x$genus %in% c("Proteus", "Providencia") | paste(x$genus, x$species) %in% c("Serratia marcescens", "Morganella morganii"))),
carbapenems,
"any",
reason = "Enterobacterales: carbapenem or carbapenemase"
)
trans_tbl(
3,
which(x[[SXT]] == "R" &
(x[[GEN]] == "R" | x[[TOB]] == "R" | x[[AMK]] == "R") &
(x[[CIP]] == "R" | x[[NOR]] == "R" | x[[LVX]] == "R") &
(x$genus %in% c("Enterobacter", "Providencia") | paste(x$genus, x$species) %in% c("Citrobacter freundii", "Klebsiella aerogenes", "Hafnia alvei", "Morganella morganii"))),
c(SXT, aminoglycosides, fluoroquinolones),
"any",
reason = "Enterobacterales group II: aminoglycoside + fluoroquinolone + cotrimoxazol"
)
trans_tbl(
3,
which(x[[SXT]] == "R" &
x[[GEN]] == "R" &
(x[[CIP]] == "R" | x[[NOR]] == "R" | x[[LVX]] == "R") &
paste(x$genus, x$species) == "Serratia marcescens"),
c(SXT, aminoglycosides_serratia_marcescens, fluoroquinolones),
"any",
reason = "Enterobacterales group II: aminoglycoside + fluoroquinolone + cotrimoxazol"
)
# Acinetobacter baumannii-calcoaceticus complex
trans_tbl(
3,
which((x[[GEN]] == "R" | x[[TOB]] == "R" | x[[AMK]] == "R") &
(x[[CIP]] == "R" | x[[LVX]] == "R") &
x[[col_mo]] %in% AMR::microorganisms.groups$mo[AMR::microorganisms.groups$mo_group_name == "Acinetobacter baumannii complex"]),
c(aminoglycosides, CIP, LVX),
"any",
reason = "A. baumannii-calcoaceticus complex: aminoglycoside + ciprofloxacin or levofloxacin"
)
trans_tbl(
2, # unconfirmed
which(x[[col_mo]] %in% AMR::microorganisms.groups$mo[AMR::microorganisms.groups$mo_group_name == "Acinetobacter baumannii complex"]),
carbapenems,
"any",
reason = "A. baumannii-calcoaceticus complex: carbapenemase"
)
# Pseudomonas aeruginosa
if (ab_missing(PIP) && !ab_missing(TZP)) {
# take pip/tazo if just pip is not available - many labs only test for pip/tazo because of availability on a Vitek card
PIP <- TZP
}
if (!ab_missing(MEM) && !ab_missing(IPM) &&
!ab_missing(GEN) && !ab_missing(TOB) &&
!ab_missing(CIP) &&
!ab_missing(CAZ) &&
!ab_missing(PIP)) {
x$psae <- 0
x[which(x[, MEM, drop = TRUE] == "R" | x[, IPM, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, MEM, drop = TRUE] == "R" | x[, IPM, drop = TRUE] == "R"), "psae"]
x[which(x[, GEN, drop = TRUE] == "R" & x[, TOB, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, GEN, drop = TRUE] == "R" & x[, TOB, drop = TRUE] == "R"), "psae"]
x[which(x[, CIP, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, CIP, drop = TRUE] == "R"), "psae"]
x[which(x[, CAZ, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, CAZ, drop = TRUE] == "R"), "psae"]
x[which(x[, PIP, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, PIP, drop = TRUE] == "R"), "psae"]
} else {
x$psae <- 0
}
trans_tbl(
3,
which(x$genus == "Pseudomonas" & x$species == "aeruginosa"),
c(CAZ, CIP, GEN, IPM, MEM, TOB, PIP),
"all", # this will set all negatives to "guideline criteria not met" instead of "not covered by guideline"
reason = "P. aeruginosa: at least 3 classes contain R"
)
trans_tbl(
3,
which(x$genus == "Pseudomonas" & x$species == "aeruginosa" & x$psae >= 3),
c(CAZ, CIP, GEN, IPM, MEM, TOB, PIP),
"any", # this is the actual one, changing the ones with x$psae >= 3
reason = "P. aeruginosa: at least 3 classes contain R"
)
# Enterococcus faecium
trans_tbl(
3,
which(x$genus == "Enterococcus" & x$species == "faecium"),
c(PEN %or% AMX %or% AMP, VAN),
"all",
reason = "E. faecium: vancomycin or vanA/vanB gene + penicillin group"
)
# Staphylococcus aureus
trans_tbl(
2,
which(x$genus == "Staphylococcus" & x$species == "aureus"),
c(PEN, AMX, AMP, FLC, OXA, FOX, FOX1),
"any",
reason = "S. aureus: MRSA"
)
# Candida auris
trans_tbl(
3,
which(x$genus == "Candida" & x$species == "auris"),
character(0),
"any",
reason = "C. auris: regardless of resistance"
)
}
if (guideline$code == "brmo2017") {
# Netherlands 2017 --------------------------------------------------------
aminoglycosides <- aminoglycosides[!is.na(aminoglycosides)] aminoglycosides <- aminoglycosides[!is.na(aminoglycosides)]
fluoroquinolones <- fluoroquinolones[!is.na(fluoroquinolones)] fluoroquinolones <- fluoroquinolones[!is.na(fluoroquinolones)]
carbapenems <- carbapenems[!is.na(carbapenems)] carbapenems <- carbapenems[!is.na(carbapenems)]
@ -1413,7 +1582,7 @@ mdro <- function(x = NULL,
if (length(ESBLs) != 2) { if (length(ESBLs) != 2) {
ESBLs <- character(0) ESBLs <- character(0)
} }
# Table 1 # Table 1
trans_tbl( trans_tbl(
3, 3,
@ -1421,21 +1590,21 @@ mdro <- function(x = NULL,
c(aminoglycosides, fluoroquinolones), c(aminoglycosides, fluoroquinolones),
"all" "all"
) )
trans_tbl( trans_tbl(
2, 2,
which(x$order == "Enterobacterales"), # following in fact the old Enterobacteriaceae classification which(x$order == "Enterobacterales"), # following in fact the old Enterobacteriaceae classification
carbapenems, carbapenems,
"any" "any"
) )
trans_tbl( trans_tbl(
2, 2,
which(x$order == "Enterobacterales"), # following in fact the old Enterobacteriaceae classification which(x$order == "Enterobacterales"), # following in fact the old Enterobacteriaceae classification
ESBLs, ESBLs,
"all" "all"
) )
# Table 2 # Table 2
trans_tbl( trans_tbl(
2, 2,
@ -1449,19 +1618,19 @@ mdro <- function(x = NULL,
c(aminoglycosides, fluoroquinolones), c(aminoglycosides, fluoroquinolones),
"all" "all"
) )
trans_tbl( trans_tbl(
3, 3,
which(x$genus == "Stenotrophomonas" & x$species == "maltophilia"), which(x$genus == "Stenotrophomonas" & x$species == "maltophilia"),
SXT, SXT,
"all" "all"
) )
if (!ab_missing(MEM) && !ab_missing(IPM) && if (!ab_missing(MEM) && !ab_missing(IPM) &&
!ab_missing(GEN) && !ab_missing(TOB) && !ab_missing(GEN) && !ab_missing(TOB) &&
!ab_missing(CIP) && !ab_missing(CIP) &&
!ab_missing(CAZ) && !ab_missing(CAZ) &&
!ab_missing(TZP)) { !ab_missing(TZP)) {
x$psae <- 0 x$psae <- 0
x[which(x[, MEM, drop = TRUE] == "R" | x[, IPM, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, MEM, drop = TRUE] == "R" | x[, IPM, drop = TRUE] == "R"), "psae"] x[which(x[, MEM, drop = TRUE] == "R" | x[, IPM, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, MEM, drop = TRUE] == "R" | x[, IPM, drop = TRUE] == "R"), "psae"]
x[which(x[, GEN, drop = TRUE] == "R" & x[, TOB, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, GEN, drop = TRUE] == "R" & x[, TOB, drop = TRUE] == "R"), "psae"] x[which(x[, GEN, drop = TRUE] == "R" & x[, TOB, drop = TRUE] == "R"), "psae"] <- 1 + x[which(x[, GEN, drop = TRUE] == "R" & x[, TOB, drop = TRUE] == "R"), "psae"]
@ -1477,11 +1646,8 @@ mdro <- function(x = NULL,
c(CAZ, CIP, GEN, IPM, MEM, TOB, TZP), c(CAZ, CIP, GEN, IPM, MEM, TOB, TZP),
"any" "any"
) )
x[which( x[which(x$genus == "Pseudomonas" & x$species == "aeruginosa" & x$psae >= 3), "reason"] <- paste0("at least 3 classes contain R", ifelse(!isTRUE(combine_SI), " or I", ""))
x$genus == "Pseudomonas" & x$species == "aeruginosa" &
x$psae >= 3
), "reason"] <- paste0("at least 3 classes contain R", ifelse(!isTRUE(combine_SI), " or I", ""))
# Table 3 # Table 3
trans_tbl( trans_tbl(
3, 3,
@ -1580,7 +1746,7 @@ mdro <- function(x = NULL,
" (3 required for MDR)" " (3 required for MDR)"
) )
} else { } else {
x[which(x$MDRO == 1), "reason"] <- "too few antibiotics are R" #x[which(x$MDRO == 1), "reason"] <- "too few antibiotics are R"
} }
} }
@ -1610,11 +1776,13 @@ mdro <- function(x = NULL,
if (isTRUE(info.bak)) { if (isTRUE(info.bak)) {
cat(font_italic(paste0(" (", length(rows_empty), " isolates had no test results)\n"))) cat(font_italic(paste0(" (", length(rows_empty), " isolates had no test results)\n")))
} }
x[rows_empty, "MDRO"] <- NA
x[rows_empty, "reason"] <- "none of the antibiotics have test results"
} else if (isTRUE(info.bak)) { } else if (isTRUE(info.bak)) {
cat("\n") cat("\n")
} }
if (isTRUE(info.bak) && !isTRUE(verbose)) {
cat("\nRerun with 'verbose = TRUE' to retrieve detailed info and reasons for every MDRO classification.\n")
}
# Results ---- # Results ----
if (guideline$code == "cmi2012") { if (guideline$code == "cmi2012") {
@ -1662,8 +1830,13 @@ mdro <- function(x = NULL,
ordered = TRUE ordered = TRUE
) )
} }
if (isTRUE(verbose)) { if (isTRUE(verbose)) {
# fill in empty reasons
x$reason[is.na(x$reason)] <- "not covered by guideline"
x[rows_empty, "reason"] <- paste(x[rows_empty, "reason"], "(note: no available test results)")
# format data set
colnames(x)[colnames(x) == col_mo] <- "microorganism" colnames(x)[colnames(x) == col_mo] <- "microorganism"
x$microorganism <- mo_name(x$microorganism, language = NULL) x$microorganism <- mo_name(x$microorganism, language = NULL)
x[, c( x[, c(

View File

@ -77,7 +77,7 @@ Ordered \link{factor} with levels \code{Negative} < \verb{Positive, unconfirmed}
} }
} }
\description{ \description{
Determine which isolates are multidrug-resistant organisms (MDRO) according to international, national and custom guidelines. Determine which isolates are multidrug-resistant organisms (MDRO) according to international, national, or custom guidelines.
} }
\details{ \details{
These functions are context-aware. This means that the \code{x} argument can be left blank if used inside a \link{data.frame} call, see \emph{Examples}. These functions are context-aware. This means that the \code{x} argument can be left blank if used inside a \link{data.frame} call, see \emph{Examples}.
@ -111,10 +111,17 @@ The international guideline for multi-drug resistant tuberculosis - World Health
The German national guideline - Mueller et al. (2015) Antimicrobial Resistance and Infection Control 4:7; \doi{10.1186/s13756-015-0047-6} The German national guideline - Mueller et al. (2015) Antimicrobial Resistance and Infection Control 4:7; \doi{10.1186/s13756-015-0047-6}
\item \code{guideline = "BRMO"} \item \code{guideline = "BRMO"}
The Dutch national guideline - Rijksinstituut voor Volksgezondheid en Milieu "WIP-richtlijn BRMO (Bijzonder Resistente Micro-Organismen) (ZKH)" (\href{https://www.rivm.nl/wip-richtlijn-brmo-bijzonder-resistente-micro-organismen-zkh}{link}) The Dutch national guideline - Samenwerkingverband Richtlijnen Infectiepreventie (SRI) (2024) "Bijzonder Resistente Micro-Organismen (BRMO)" (\href{https://www.sri-richtlijnen.nl/brmo}{link})
Also:
\itemize{
\item \code{guideline = "BRMO 2017"}
The former Dutch national guideline - Werkgroep Infectiepreventie (WIP), RIVM, last revision as of 2017: "Bijzonder Resistente Micro-Organismen (BRMO)"
}
} }
Please suggest your own (country-specific) guidelines by letting us know: \url{https://github.com/msberends/AMR/issues/new}. Please suggest to implement guidelines by letting us know: \url{https://github.com/msberends/AMR/issues/new}.
} }
\section{Using Custom Guidelines}{ \section{Using Custom Guidelines}{