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mirror of https://github.com/msberends/AMR.git synced 2025-07-12 23:01:51 +02:00

fix SIR interpretation

This commit is contained in:
2024-05-31 09:50:54 +02:00
parent ba4dc20cf3
commit 60c6c21e45
6 changed files with 128 additions and 66 deletions

View File

@ -30,7 +30,7 @@
#' Define Custom EUCAST Rules
#'
#' Define custom EUCAST rules for your organisation or specific analysis and use the output of this function in [eucast_rules()].
#' @param ... rules in [formula][base::tilde] notation, see *Examples*
#' @param ... rules in [formula][base::tilde] notation, see below for instructions, and in *Examples*
#' @details
#' Some organisations have their own adoption of EUCAST rules. This function can be used to define custom EUCAST rules to be used in the [eucast_rules()] function.
#' @section How it works:
@ -89,11 +89,24 @@
#' #> 2 Klebsiella pneumoniae R R S
#' ```
#'
#' ### Usage of antibiotic group names
#' ### Usage of multiple antibiotics and antibiotic group names
#'
#' You can define antibiotic groups instead of single antibiotics for the rule consequence, which is the part *after* the tilde (~). In the examples above, the antibiotic group `aminopenicillins` includes both ampicillin and amoxicillin.
#'
#' Rules can also be applied to multiple antibiotics and antibiotic groups simultaneously. Use the `c()` function to combine multiple antibiotics. For instance, the following example sets all aminopenicillins and ureidopenicillins to "R" if column TZP (piperacillin/tazobactam) is "R":
#'
#' ```r
#' x <- custom_eucast_rules(TZP == "R" ~ c(aminopenicillins, ureidopenicillins) == "R")
#' x
#' #> A set of custom EUCAST rules:
#' #>
#' #> 1. If TZP is "R" then set to "R":
#' #> amoxicillin (AMX), ampicillin (AMP), azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP), piperacillin/tazobactam (TZP)
#' ```
#'
#' It is possible to define antibiotic groups instead of single antibiotics for the rule consequence, the part *after* the tilde. In above examples, the antibiotic group `aminopenicillins` is used to include ampicillin and amoxicillin. The following groups are allowed (case-insensitive). Within parentheses are the drugs that will be matched when running the rule.
#' These `r length(DEFINED_AB_GROUPS)` antibiotic groups are allowed in the rules (case-insensitive) and can be used in any combination:
#'
#' `r paste0(" * ", sapply(DEFINED_AB_GROUPS, function(x) paste0("\"", tolower(gsub("^AB_", "", x)), "\"\\cr(", vector_and(ab_name(eval(parse(text = x), envir = asNamespace("AMR")), language = NULL, tolower = TRUE), quotes = FALSE), ")"), USE.NAMES = FALSE), "\n", collapse = "")`
#' `r paste0(" * ", sapply(DEFINED_AB_GROUPS, function(x) paste0(tolower(gsub("^AB_", "", x)), "\\cr(", vector_and(ab_name(eval(parse(text = x), envir = asNamespace("AMR")), language = NULL, tolower = TRUE), quotes = FALSE), ")"), USE.NAMES = FALSE), "\n", collapse = "")`
#' @returns A [list] containing the custom rules
#' @export
#' @examples
@ -156,24 +169,34 @@ custom_eucast_rules <- function(...) {
"the result of rule ", i, " (the part after the `~`) must contain `==`, such as in `... ~ ampicillin == \"R\"`, see `?custom_eucast_rules`"
)
result_group <- as.character(result)[[2]]
if (paste0("AB_", toupper(result_group), "S") %in% DEFINED_AB_GROUPS) {
# support for e.g. 'aminopenicillin' if user meant 'aminopenicillins'
result_group <- paste0(result_group, "s")
result_group<- as.character(str2lang(result_group))
result_group <- result_group[result_group != "c"]
result_group_agents <- character(0)
for (j in seq_len(length(result_group))) {
if (paste0("AB_", toupper(result_group[j]), "S") %in% DEFINED_AB_GROUPS) {
# support for e.g. 'aminopenicillin' if user meant 'aminopenicillins'
result_group[j] <- paste0(result_group[j], "s")
}
if (paste0("AB_", toupper(result_group[j])) %in% DEFINED_AB_GROUPS) {
result_group_agents <- c(result_group_agents,
eval(parse(text = paste0("AB_", toupper(result_group[j]))), envir = asNamespace("AMR")))
} else {
out_group <- tryCatch(
suppressWarnings(as.ab(result_group[j],
fast_mode = TRUE,
flag_multiple_results = FALSE
)),
error = function(e) NA_character_
)
if (!all(is.na(out_group))) {
result_group_agents <- c(result_group_agents, out_group)
}
}
}
if (paste0("AB_", toupper(result_group)) %in% DEFINED_AB_GROUPS) {
result_group <- eval(parse(text = paste0("AB_", toupper(result_group))), envir = asNamespace("AMR"))
} else {
result_group <- tryCatch(
suppressWarnings(as.ab(result_group,
fast_mode = TRUE,
flag_multiple_results = FALSE
)),
error = function(e) NA_character_
)
}
result_group_agents <- result_group_agents[!is.na(result_group_agents)]
stop_if(
any(is.na(result_group)),
length(result_group_agents) == 0,
"this result of rule ", i, " could not be translated to a single antimicrobial drug/group: \"",
as.character(result)[[2]], "\".\n\nThe input can be a name or code of an antimicrobial drug, or be one of: ",
vector_or(tolower(gsub("AB_", "", DEFINED_AB_GROUPS)), quotes = FALSE), "."
@ -186,7 +209,7 @@ custom_eucast_rules <- function(...) {
)
result_value <- as.sir(result_value)
out[[i]]$result_group <- result_group
out[[i]]$result_group <- result_group_agents
out[[i]]$result_value <- result_value
}

29
R/sir.R
View File

@ -532,6 +532,8 @@ as.sir.data.frame <- function(x,
} else if (length(host) == 1 && as.character(host) %in% colnames(x)) {
host <- x[[as.character(host)]]
}
} else {
host <- breakpoint_type
}
# -- UTIs
@ -731,6 +733,8 @@ get_guideline <- function(guideline, reference_data) {
convert_host <- function(x, lang = get_AMR_locale()) {
x <- trimws2(tolower(as.character(x)))
x_out <- rep(NA_character_, length(x))
x_out[trimws2(tolower(x)) == "human"] <- "human"
x_out[trimws2(tolower(x)) == "ecoff"] <- "ecoff"
# this order is based on: clinical_breakpoints |> filter(type == "animal") |> count(host, sort = TRUE)
x_out[is.na(x_out) & (x %like% "dog|canine" | x %like% translate_AMR("dog|dogs|canine", lang))] <- "dogs"
x_out[is.na(x_out) & (x %like% "cattle|bovine" | x %like% translate_AMR("cattle|bovine", lang))] <- "cattle"
@ -739,6 +743,7 @@ convert_host <- function(x, lang = get_AMR_locale()) {
x_out[is.na(x_out) & (x %like% "horse|equine" | x %like% translate_AMR("horse|horses|equine", lang))] <- "horse"
x_out[is.na(x_out) & (x %like% "aqua|fish" | x %like% translate_AMR("aquatic|fish", lang))] <- "aquatic"
x_out[is.na(x_out) & (x %like% "bird|chicken|poultry|avia" | x %like% translate_AMR("bird|birds|poultry", lang))] <- "poultry"
x_out[x_out == "ecoff"] <- "ECOFF"
x_out
}
@ -794,12 +799,10 @@ as_sir_method <- function(method_short,
}
breakpoint_type <- "animal"
} else {
host <- NA_character_
host <- breakpoint_type
}
}
host <- convert_host(host)
host <- tolower(host)
host[host == "ecoff"] <- "ECOFF"
if (message_not_thrown_before("as.sir", "sir_interpretation_history")) {
message_("Run `sir_interpretation_history()` afterwards to retrieve a logbook with all the details of the breakpoint interpretations. Note that some ", ifelse(breakpoint_type == "animal", "animal hosts and ", ""), "microorganisms might not have breakpoints for each antimicrobial drug in ", guideline_coerced, ".\n\n")
@ -887,15 +890,15 @@ as_sir_method <- function(method_short,
if (length(ab) == 1) {
ab <- rep(ab, length(x))
}
if (length(host) == 1) {
host <- rep(host, length(x))
}
if (is.null(uti)) {
uti <- NA
}
if (length(uti) == 1) {
uti <- rep(uti, length(x))
}
if (length(host) == 1) {
host <- rep(host, length(x))
}
if (isTRUE(add_intrinsic_resistance) && guideline_coerced %unlike% "EUCAST") {
if (message_not_thrown_before("as.sir", "intrinsic")) {
warning_("in `as.sir()`: using 'add_intrinsic_resistance' is only useful when using EUCAST guidelines, since the rules for intrinsic resistance are based on EUCAST.")
@ -906,7 +909,7 @@ as_sir_method <- function(method_short,
agent_name <- ab_name(ab, tolower = TRUE, language = NULL)
same_ab <- generalise_antibiotic_name(ab) == generalise_antibiotic_name(agent_name)
same_ab.bak <- generalise_antibiotic_name(ab.bak) == generalise_antibiotic_name(agent_name)
agent_formatted[same_ab.bak] <- paste0(agent_formatted[same_ab.bak], " (", ab, ")")
agent_formatted[same_ab.bak] <- paste0(agent_formatted[same_ab.bak], " (", ab[same_ab.bak], ")")
agent_formatted[!same_ab.bak & !same_ab] <- paste0(agent_formatted[!same_ab.bak & !same_ab],
" (", ifelse(ab.bak[!same_ab.bak & !same_ab] == ab[!same_ab.bak & !same_ab],
"",
@ -915,13 +918,12 @@ as_sir_method <- function(method_short,
")")
# this intro text will also be printed in the progress bar if the `progress` package is installed
intro_txt <- paste0("Interpreting ", method_long, ": ", ifelse(isTRUE(list(...)$is_data.frame), "column ", ""),
ifelse(length(unique(agent_formatted)) == 1, unique(agent_formatted), vector_and(ab, quotes = FALSE)),
ifelse(length(unique(agent_formatted)) == 1, unique(agent_formatted), paste0("for ", vector_and(ab, quotes = FALSE))),
mo_var_found,
ifelse(identical(reference_data, AMR::clinical_breakpoints),
paste0(", ", font_bold(guideline_coerced)),
""),
"... ")
message_(intro_txt, appendLF = FALSE, as_note = FALSE)
msg_note <- function(messages) {
messages <- unique(messages)
@ -1009,6 +1011,10 @@ as_sir_method <- function(method_short,
add_intrinsic_resistance_to_AMR_env()
}
if (nrow(df_unique) < 10) {
# only print intro under 10 items, otherwise progressbar will print this and then it will be printed double
message_(intro_txt, appendLF = FALSE, as_note = FALSE)
}
p <- progress_ticker(n = nrow(df_unique), n_min = 10, title = font_blue(intro_txt), only_bar_percent = TRUE)
has_progress_bar <- !is.null(import_fn("progress_bar", "progress", error_on_fail = FALSE)) && nrow(df_unique) >= 10
on.exit(close(p))
@ -1018,12 +1024,13 @@ as_sir_method <- function(method_short,
p$tick()
mo_current <- df_unique[i, "mo", drop = TRUE]
ab_current <- df_unique[i, "ab", drop = TRUE]
host_current <- df_unique[i, "host", drop = TRUE]
uti_current <- df_unique[i, "uti", drop = TRUE]
if (is.na(uti_current)) {
# no preference, so no filter on UTIs
rows <- which(df$mo == mo_current)
rows <- which(df$mo == mo_current & df$ab == ab_current & df$host == host_current)
} else {
rows <- which(df$mo == mo_current & df$uti == uti_current)
rows <- which(df$mo == mo_current & df$ab == ab_current & df$host == host_current & df$uti == uti_current)
}
values <- df[rows, "values", drop = TRUE]
new_sir <- rep(NA_sir_, length(rows))