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617 lines
46 KiB
R
617 lines
46 KiB
R
# ==================================================================== #
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# TITLE #
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# Antimicrobial Resistance (AMR) Analysis #
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# #
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# SOURCE #
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# https://github.com/msberends/AMR #
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# #
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# LICENCE #
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# (c) 2018-2020 Berends MS, Luz CF et al. #
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# #
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# This R package is free software; you can freely use and distribute #
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# it for both personal and commercial purposes under the terms of the #
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# GNU General Public License version 2.0 (GNU GPL-2), as published by #
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# the Free Software Foundation. #
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# #
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# We created this package for both routine data analysis and academic #
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# research and it was publicly released in the hope that it will be #
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# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
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# Visit our website for more info: https://msberends.github.io/AMR. #
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# ==================================================================== #
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library(dplyr)
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# got EARS-Net codes (= ECDC/WHO codes) from here:
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# Installed WHONET 2019 software on Windows (http://www.whonet.org/software.html),
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# opened C:\WHONET\Codes\WHONETCodes.mdb in MS Access
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# and exported table 'DRGLST' to MS Excel
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library(readxl)
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DRGLST <- read_excel("DRGLST.xlsx")
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abx <- DRGLST %>%
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select(ab = WHON5_CODE,
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name = ANTIBIOTIC) %>%
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# remove the ones without WHONET code
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filter(!is.na(ab)) %>%
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distinct(name, .keep_all = TRUE) %>%
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# add the ones without WHONET code
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bind_rows(
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DRGLST %>%
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select(ab = WHON5_CODE,
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name = ANTIBIOTIC) %>%
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filter(is.na(ab)) %>%
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distinct(name, .keep_all = TRUE)
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# add new ab code later
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) %>%
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arrange(name)
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# add old ATC codes
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ab_old <- AMR::antibiotics %>%
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mutate(official = gsub("( and |, )", "/", official),
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abbr = tolower(paste(ifelse(is.na(abbr), "", abbr),
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ifelse(is.na(certe), "", certe),
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ifelse(is.na(umcg), "", umcg),
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sep = "|")))
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for (i in 1:nrow(ab_old)) {
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abbr <- ab_old[i, "abbr"]
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abbr <- strsplit(abbr, "|", fixed = TRUE) %>% unlist() %>% unique()
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abbr <- abbr[abbr != ""]
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#print(abbr)
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if (length(abbr) == 0) {
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ab_old[i, "abbr"] <- NA_character_
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} else {
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ab_old[i, "abbr"] <- paste(abbr, collapse = "|")
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}
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}
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# create reference data set: to be able to map ab to atc
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abx_atc1 <- abx %>%
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mutate(name_lower = tolower(name)) %>%
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left_join(ab_old %>%
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select(ears_net, atc), by = c(ab = "ears_net")) %>%
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rename(atc1 = atc) %>%
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left_join(ab_old %>%
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mutate(official = gsub(", combinations", "", official, fixed = TRUE)) %>%
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transmute(official = tolower(official), atc), by = c(name_lower = "official")) %>%
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rename(atc2 = atc) %>%
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left_join(ab_old %>%
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mutate(official = gsub(", combinations", "", official, fixed = TRUE)) %>%
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mutate(official = gsub("f", "ph", official)) %>%
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transmute(official = tolower(official), atc), by = c(name_lower = "official")) %>%
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rename(atc3 = atc) %>%
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left_join(ab_old %>%
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mutate(official = gsub(", combinations", "", official, fixed = TRUE)) %>%
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mutate(official = gsub("t", "th", official)) %>%
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transmute(official = tolower(official), atc), by = c(name_lower = "official")) %>%
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rename(atc4 = atc) %>%
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left_join(ab_old %>%
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mutate(official = gsub(", combinations", "", official, fixed = TRUE)) %>%
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mutate(official = gsub("f", "ph", official)) %>%
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mutate(official = gsub("t", "th", official)) %>%
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transmute(official = tolower(official), atc), by = c(name_lower = "official")) %>%
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rename(atc5 = atc) %>%
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left_join(ab_old %>%
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mutate(official = gsub(", combinations", "", official, fixed = TRUE)) %>%
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mutate(official = gsub("f", "ph", official)) %>%
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mutate(official = gsub("t", "th", official)) %>%
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mutate(official = gsub("ine$", "in", official)) %>%
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transmute(official = tolower(official), atc), by = c(name_lower = "official")) %>%
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rename(atc6 = atc) %>%
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mutate(atc = case_when(!is.na(atc1) ~ atc1,
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!is.na(atc2) ~ atc2,
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!is.na(atc3) ~ atc3,
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!is.na(atc4) ~ atc4,
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!is.na(atc4) ~ atc5,
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TRUE ~ atc6)) %>%
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distinct(ab, name, .keep_all = TRUE) %>%
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select(ab, atc, name)
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abx_atc2 <- ab_old %>%
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filter(!atc %in% abx_atc1$atc,
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is.na(ears_net),
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!is.na(atc_group1),
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!atc_group1 %like% ("virus|vaccin|viral|immun"),
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!official %like% "(combinations| with )") %>%
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mutate(ab = NA_character_) %>%
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as.data.frame(stringsAsFactors = FALSE) %>%
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select(ab, atc, name = official)
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abx2 <- bind_rows(abx_atc1, abx_atc2)
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rm(abx_atc1)
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rm(abx_atc2)
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abx2$ab[is.na(abx2$ab)] <- toupper(abbreviate(gsub("[/0-9-]",
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" ",
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abx2$name[is.na(abx2$ab)]),
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minlength = 3,
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method = "left.kept",
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strict = TRUE))
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n_distinct(abx2$ab)
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abx2 <- abx2 %>% arrange(ab)
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seqnr <- 0
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# add follow up nrs
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for (i in 2:nrow(abx2)) {
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if (abx2[i, "ab"] == abx2[i - 1, "ab"]) {
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seqnr <- seqnr + 1
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abx2[i, "seqnr"] <- seqnr
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} else {
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seqnr <- 0
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}
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}
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for (i in 2:nrow(abx2)) {
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if (!is.na(abx2[i, "seqnr"])) {
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abx2[i, "ab"] <- paste0(abx2[i, "ab"], abx2[i, "seqnr"])
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}
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}
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abx2 <- abx2 %>% select(-seqnr) %>% arrange(name)
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# everything unique??
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nrow(abx2) == n_distinct(abx2$ab)
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# get ATC properties
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abx2 <- abx2 %>%
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left_join(ab_old %>%
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select(atc, abbr, atc_group1, atc_group2,
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oral_ddd, oral_units, iv_ddd, iv_units))
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abx2$abbr <- lapply(as.list(abx2$abbr), function(x) unlist(strsplit(x, "|", fixed = TRUE)))
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# vector with official names, returns vector with CIDs
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get_CID <- function(ab) {
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CID <- rep(NA_integer_, length(ab))
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p <- progress_estimated(n = length(ab), min_time = 0)
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for (i in 1:length(ab)) {
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p$tick()$print()
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CID[i] <- tryCatch(
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data.table::fread(paste0("https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/",
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URLencode(ab[i], reserved = TRUE),
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"/cids/TXT?name_type=complete"),
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showProgress = FALSE)[[1]][1],
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error = function(e) NA_integer_)
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if (is.na(CID[i])) {
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# try with removing the text in brackets
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CID[i] <- tryCatch(
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data.table::fread(paste0("https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/",
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URLencode(trimws(gsub("[(].*[)]", "", ab[i])), reserved = TRUE),
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"/cids/TXT?name_type=complete"),
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showProgress = FALSE)[[1]][1],
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error = function(e) NA_integer_)
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}
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if (is.na(CID[i])) {
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# try match on word and take the lowest CID value (sorted)
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ab[i] <- gsub("[^a-z0-9]+", " ", ab[i], ignore.case = TRUE)
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CID[i] <- tryCatch(
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data.table::fread(paste0("https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/",
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URLencode(ab[i], reserved = TRUE),
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"/cids/TXT?name_type=word"),
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showProgress = FALSE)[[1]][1],
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error = function(e) NA_integer_)
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}
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Sys.sleep(0.1)
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}
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CID
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}
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# get CIDs (2-3 min)
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CIDs <- get_CID(abx2$name)
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# These could not be found:
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abx2[is.na(CIDs),] %>% View()
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# returns list with synonyms (brand names), with CIDs as names
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get_synonyms <- function(CID, clean = TRUE) {
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synonyms <- rep(NA_character_, length(CID))
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p <- progress_estimated(n = length(CID), min_time = 0)
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for (i in 1:length(CID)) {
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p$tick()$print()
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synonyms_txt <- ""
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if (is.na(CID[i])) {
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next
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}
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synonyms_txt <- tryCatch(
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data.table::fread(paste0("https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/fastidentity/cid/",
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CID[i],
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"/synonyms/TXT"),
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sep = "\n",
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showProgress = FALSE)[[1]],
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error = function(e) NA_character_)
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Sys.sleep(0.1)
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if (clean == TRUE) {
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# remove text between brackets
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synonyms_txt <- trimws(gsub("[(].*[)]", "",
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gsub("[[].*[]]", "",
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gsub("[(].*[]]", "",
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gsub("[[].*[)]", "", synonyms_txt)))))
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synonyms_txt <- gsub("Co-", "Co", synonyms_txt, fixed = TRUE)
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# only length 6 to 20 and no txt with reading marks or numbers and must start with capital letter (= brand)
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synonyms_txt <- synonyms_txt[nchar(synonyms_txt) %in% c(6:20)
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& !grepl("[-&{},_0-9/]", synonyms_txt)
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& grepl("^[A-Z]", synonyms_txt, ignore.case = FALSE)]
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synonyms_txt <- unlist(strsplit(synonyms_txt, ";", fixed = TRUE))
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}
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synonyms_txt <- unique(trimws(synonyms_txt[tolower(synonyms_txt) %in% unique(tolower(synonyms_txt))]))
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synonyms[i] <- list(sort(synonyms_txt))
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}
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names(synonyms) <- CID
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synonyms
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}
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# get brand names from PubChem (2-3 min)
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synonyms <- get_synonyms(CIDs)
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synonyms <- lapply(synonyms,
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function(x) {
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if (length(x) == 0 | all(is.na(x))) {
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""
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} else {
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x
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}})
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# add them to data set
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antibiotics <- abx2 %>%
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left_join(DRGLST %>%
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select(ab = WHON5_CODE, CLASS, SUBCLASS) %>%
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distinct(ab, .keep_all = TRUE), by = "ab") %>%
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transmute(ab,
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atc,
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cid = CIDs,
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# no capital after a slash: Ampicillin/Sulbactam -> Ampicillin/sulbactam
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name = name %>%
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gsub("([/-])([A-Z])", "\\1\\L\\2", ., perl = TRUE) %>%
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gsub("edta", "EDTA", ., ignore.case = TRUE),
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group = case_when(
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "am(ph|f)enicol" ~ "Amphenicols",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "aminoglycoside" ~ "Aminoglycosides",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "carbapenem" | name %like% "(imipenem|meropenem)" ~ "Carbapenems",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "First-generation cephalosporin" ~ "Cephalosporins (1st gen.)",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "Second-generation cephalosporin" ~ "Cephalosporins (2nd gen.)",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "Third-generation cephalosporin" ~ "Cephalosporins (3rd gen.)",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "Fourth-generation cephalosporin" ~ "Cephalosporins (4th gen.)",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "(tuberculosis|mycobacter)" ~ "Antimycobacterials",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "cephalosporin" ~ "Cephalosporins",
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name %like% "^Ce" & is.na(atc_group1) & paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "beta-?lactam" ~ "Cephalosporins",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "(beta-?lactam|penicillin)" ~ "Beta-lactams/penicillins",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "quinolone" ~ "Quinolones",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "glycopeptide" ~ "Glycopeptides",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "macrolide" ~ "Macrolides/lincosamides",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "tetracycline" ~ "Tetracyclines",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "trimethoprim" ~ "Trimethoprims",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "polymyxin" ~ "Polymyxins",
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paste(atc_group1, atc_group2, CLASS, SUBCLASS) %like% "(fungal|mycot)" ~ "Antifungals/antimycotics",
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TRUE ~ "Other antibacterials"
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),
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atc_group1, atc_group2,
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abbreviations = unname(abbr),
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synonyms = unname(synonyms),
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oral_ddd, oral_units,
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iv_ddd, iv_units) %>%
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as.data.frame(stringsAsFactors = FALSE)
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# some exceptions
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antibiotics[which(antibiotics$ab == "DOX"), "abbreviations"][[1]] <- list(c("dox", "doxy"))
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antibiotics[which(antibiotics$ab == "FLC"), "abbreviations"][[1]] <- list(c("clox"))
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antibiotics[which(antibiotics$ab == "CEC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CEC"), "abbreviations"][[1]], "CFC")) # cefaclor old WHONET4 code
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antibiotics[which(antibiotics$ab == "AMX"), "synonyms"][[1]] <- list(sort(c(antibiotics[which(antibiotics$ab == "AMX"), "synonyms"][[1]], "Amoxy")))
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# 'Polymixin B' (POL) and 'Polymyxin B' (PLB) both exist, so:
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antibiotics[which(antibiotics$ab == "PLB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PLB"), "abbreviations"][[1]], "POL", "Polymixin", "Polymixin B", "Poly B"))
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antibiotics <- filter(antibiotics, ab != "POL")
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# 'Latamoxef' (LTM) and 'Moxalactam (Latamoxef)' (MOX) both exist, so:
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antibiotics[which(antibiotics$ab == "LTM"), "abbreviations"][[1]] <- list(c("MOX", "moxa"))
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antibiotics <- filter(antibiotics, ab != "MOX")
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# RFP and RFP1 (the J0 one) both mean 'rifapentine', although 'rifp' is not recognised, so:
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antibiotics <- filter(antibiotics, ab != "RFP")
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antibiotics[which(antibiotics$ab == "RFP1"), "ab"] <- "RFP"
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antibiotics[which(antibiotics$ab == "RFP"), "abbreviations"][[1]] <- list(c("rifp"))
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# Rifampicin is better known as a drug than Rifampin (Rifampin is still listed as a brand name), so:
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antibiotics[which(antibiotics$ab == "RIF"), "name"] <- "Rifampicin"
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# PME and PVM1 (the J0 one) both mean 'Pivmecillinam', so:
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antibiotics <- filter(antibiotics, ab != "PME")
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antibiotics[which(antibiotics$ab == "PVM1"), "ab"] <- "PME"
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# Remove Sinecatechins
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antibiotics <- filter(antibiotics, ab != "SNC")
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# GLIMS codes
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antibiotics[which(antibiotics$ab == as.ab("cefuroxim")), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == as.ab("cefuroxim")), "abbreviations"][[1]], "cfrx"))
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antibiotics[which(antibiotics$ab == as.ab("cefotaxim")), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == as.ab("cefotaxim")), "abbreviations"][[1]], "cftx"))
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antibiotics[which(antibiotics$ab == as.ab("ceftazidime")), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == as.ab("ceftazidime")), "abbreviations"][[1]], "cftz"))
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antibiotics[which(antibiotics$ab == as.ab("cefepime")), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == as.ab("cefepime")), "abbreviations"][[1]], "cfpi"))
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antibiotics[which(antibiotics$ab == as.ab("cefoxitin")), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == as.ab("cefoxitin")), "abbreviations"][[1]], "cfxt"))
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# Add cefoxitin screening
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class(antibiotics$ab) <- "character"
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antibiotics <- rbind(antibiotics,data.frame(ab = "FOX1", atc = NA, cid = NA,
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name = "Cefoxitin screening",
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group = "Cephalosporins (2nd gen.)", atc_group1 = NA, atc_group2 = NA,
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abbreviations = "cfsc", synonyms = NA,
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oral_ddd = NA, oral_units = NA, iv_ddd = NA, iv_units = NA,
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loinc = NA,
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stringsAsFactors = FALSE))
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# More GLIMS codes
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antibiotics[which(antibiotics$ab == "CAZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CAZ"), "abbreviations"][[1]], "cftz"))
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antibiotics[which(antibiotics$ab == "CRO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CRO"), "abbreviations"][[1]], "cftr"))
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antibiotics[which(antibiotics$ab == "CTX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTX"), "abbreviations"][[1]], "cftx"))
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antibiotics[which(antibiotics$ab == "CXM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CXM"), "abbreviations"][[1]], "cfrx"))
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antibiotics[which(antibiotics$ab == "CZO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CZO"), "abbreviations"][[1]], "cfzl"))
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antibiotics[which(antibiotics$ab == "FOX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FOX"), "abbreviations"][[1]], "cfxt"))
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antibiotics[which(antibiotics$ab == "PIP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PIP"), "abbreviations"][[1]], "pipc"))
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antibiotics[which(antibiotics$ab == "PIP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PIP"), "abbreviations"][[1]], "PIPC"))
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antibiotics[which(antibiotics$ab == "SXT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SXT"), "abbreviations"][[1]], "COTRIM"))
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antibiotics[which(antibiotics$ab == "SXT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SXT"), "abbreviations"][[1]], "trsx"))
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antibiotics[which(antibiotics$ab == "TZP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TZP"), "abbreviations"][[1]], "PIPTAZ"))
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antibiotics[which(antibiotics$ab == "TZP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TZP"), "abbreviations"][[1]], "pita"))
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# official RIVM codes (Dutch National Health Institute)
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# https://www.rivm.nl/sites/default/files/2019-09/Bijlage_4_Lijst_antibiotica%202020%201.0.pdf
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antibiotics[which(antibiotics$ab == "FCT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FCT"), "abbreviations"][[1]], "5flc"))
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antibiotics[which(antibiotics$ab == "AMC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AMC"), "abbreviations"][[1]], "amcl"))
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antibiotics[which(antibiotics$ab == "AMB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AMB"), "abbreviations"][[1]], "amfb"))
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antibiotics[which(antibiotics$ab == "AMH"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AMH"), "abbreviations"][[1]], "amhl"))
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antibiotics[which(antibiotics$ab == "AMK"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AMK"), "abbreviations"][[1]], "amik"))
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antibiotics[which(antibiotics$ab == "AMX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AMX"), "abbreviations"][[1]], "amox"))
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antibiotics[which(antibiotics$ab == "AMP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AMP"), "abbreviations"][[1]], "ampi"))
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antibiotics[which(antibiotics$ab == "SAM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SAM"), "abbreviations"][[1]], "amsu"))
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antibiotics[which(antibiotics$ab == "ANI"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ANI"), "abbreviations"][[1]], "anid"))
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antibiotics[which(antibiotics$ab == "SAM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SAM"), "abbreviations"][[1]], "apsu"))
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antibiotics[which(antibiotics$ab == "AZM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AZM"), "abbreviations"][[1]], "azit"))
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antibiotics[which(antibiotics$ab == "AZL"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "AZL"), "abbreviations"][[1]], "azlo"))
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antibiotics[which(antibiotics$ab == "ATM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ATM"), "abbreviations"][[1]], "aztr"))
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antibiotics[which(antibiotics$ab == "PNV"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PNV"), "abbreviations"][[1]], "bepe"))
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antibiotics[which(antibiotics$ab == "CAP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CAP"), "abbreviations"][[1]], "capr"))
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antibiotics[which(antibiotics$ab == "CRB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CRB"), "abbreviations"][[1]], "carb"))
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antibiotics[which(antibiotics$ab == "CAS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CAS"), "abbreviations"][[1]], "casp"))
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antibiotics[which(antibiotics$ab == "CDC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CDC"), "abbreviations"][[1]], "cecl"))
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antibiotics[which(antibiotics$ab == "CXA"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CXA"), "abbreviations"][[1]], "cfax"))
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antibiotics[which(antibiotics$ab == "CTB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTB"), "abbreviations"][[1]], "cfbu"))
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antibiotics[which(antibiotics$ab == "CEC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CEC"), "abbreviations"][[1]], "cfcl"))
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antibiotics[which(antibiotics$ab == "CFR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CFR"), "abbreviations"][[1]], "cfdx"))
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antibiotics[which(antibiotics$ab == "CEP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CEP"), "abbreviations"][[1]], "cflt"))
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antibiotics[which(antibiotics$ab == "LEX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "LEX"), "abbreviations"][[1]], "cflx"))
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antibiotics[which(antibiotics$ab == "MAN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MAN"), "abbreviations"][[1]], "cfmn"))
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antibiotics[which(antibiotics$ab == "CPD"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CPD"), "abbreviations"][[1]], "cfpd"))
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antibiotics[which(antibiotics$ab == "FEP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FEP"), "abbreviations"][[1]], "cfpi"))
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antibiotics[which(antibiotics$ab == "CPO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CPO"), "abbreviations"][[1]], "cfpr"))
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antibiotics[which(antibiotics$ab == "CFP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CFP"), "abbreviations"][[1]], "cfpz"))
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antibiotics[which(antibiotics$ab == "CED"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CED"), "abbreviations"][[1]], "cfrd"))
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antibiotics[which(antibiotics$ab == "CPT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CPT"), "abbreviations"][[1]], "cfro"))
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antibiotics[which(antibiotics$ab == "CXM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CXM"), "abbreviations"][[1]], "cfrx"))
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antibiotics[which(antibiotics$ab == "CFS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CFS"), "abbreviations"][[1]], "cfsl"))
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antibiotics[which(antibiotics$ab == "CRO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CRO"), "abbreviations"][[1]], "cftr"))
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antibiotics[which(antibiotics$ab == "CTT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTT"), "abbreviations"][[1]], "cftt"))
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antibiotics[which(antibiotics$ab == "CTX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTX"), "abbreviations"][[1]], "cftx"))
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antibiotics[which(antibiotics$ab == "CAZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CAZ"), "abbreviations"][[1]], "cftz"))
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antibiotics[which(antibiotics$ab == "CFM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CFM"), "abbreviations"][[1]], "cfxm"))
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antibiotics[which(antibiotics$ab == "FOX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FOX"), "abbreviations"][[1]], "cfxt"))
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antibiotics[which(antibiotics$ab == "CZA"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CZA"), "abbreviations"][[1]], "cfav"))
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antibiotics[which(antibiotics$ab == "CZO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CZO"), "abbreviations"][[1]], "cfzl"))
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antibiotics[which(antibiotics$ab == "CZX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CZX"), "abbreviations"][[1]], "cfzx"))
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antibiotics[which(antibiotics$ab == "CHL"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CHL"), "abbreviations"][[1]], "chlo"))
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antibiotics[which(antibiotics$ab == "CPC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CPC"), "abbreviations"][[1]], "cicl"))
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antibiotics[which(antibiotics$ab == "CIN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CIN"), "abbreviations"][[1]], "cino"))
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antibiotics[which(antibiotics$ab == "CIP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CIP"), "abbreviations"][[1]], "cipr"))
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antibiotics[which(antibiotics$ab == "CIX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CIX"), "abbreviations"][[1]], "cipx"))
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antibiotics[which(antibiotics$ab == "CLR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CLR"), "abbreviations"][[1]], "clar"))
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antibiotics[which(antibiotics$ab == "CLI"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CLI"), "abbreviations"][[1]], "clin"))
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antibiotics[which(antibiotics$ab == "CTR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTR"), "abbreviations"][[1]], "clot"))
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antibiotics[which(antibiotics$ab == "CLO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CLO"), "abbreviations"][[1]], "clox"))
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antibiotics[which(antibiotics$ab == "COL"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "COL"), "abbreviations"][[1]], "coli"))
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antibiotics[which(antibiotics$ab == "CTC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTC"), "abbreviations"][[1]], "cxcl"))
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antibiotics[which(antibiotics$ab == "CYC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CYC"), "abbreviations"][[1]], "cycl"))
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antibiotics[which(antibiotics$ab == "CCV"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CCV"), "abbreviations"][[1]], "czcl"))
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antibiotics[which(antibiotics$ab == "DAP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "DAP"), "abbreviations"][[1]], "dapt"))
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antibiotics[which(antibiotics$ab == "DIC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "DIC"), "abbreviations"][[1]], "dicl"))
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antibiotics[which(antibiotics$ab == "DOR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "DOR"), "abbreviations"][[1]], "dori"))
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antibiotics[which(antibiotics$ab == "DOX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "DOX"), "abbreviations"][[1]], "doxy"))
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antibiotics[which(antibiotics$ab == "ENX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ENX"), "abbreviations"][[1]], "enox"))
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antibiotics[which(antibiotics$ab == "ETP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ETP"), "abbreviations"][[1]], "erta"))
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antibiotics[which(antibiotics$ab == "ERY"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ERY"), "abbreviations"][[1]], "eryt"))
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antibiotics[which(antibiotics$ab == "PHE"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PHE"), "abbreviations"][[1]], "fene"))
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antibiotics[which(antibiotics$ab == "PHN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PHN"), "abbreviations"][[1]], "fepe"))
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antibiotics[which(antibiotics$ab == "FLE"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FLE"), "abbreviations"][[1]], "fler"))
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antibiotics[which(antibiotics$ab == "FLU"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FLU"), "abbreviations"][[1]], "fluc"))
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antibiotics[which(antibiotics$ab == "FLC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FLC"), "abbreviations"][[1]], "flux"))
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antibiotics[which(antibiotics$ab == "FOS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FOS"), "abbreviations"][[1]], "fosf"))
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antibiotics[which(antibiotics$ab == "FRM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FRM"), "abbreviations"][[1]], "fram"))
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antibiotics[which(antibiotics$ab == "FUS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FUS"), "abbreviations"][[1]], "fusi"))
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antibiotics[which(antibiotics$ab == "GAT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "GAT"), "abbreviations"][[1]], "gati"))
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antibiotics[which(antibiotics$ab == "GEH"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "GEH"), "abbreviations"][[1]], "gehl"))
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antibiotics[which(antibiotics$ab == "GEN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "GEN"), "abbreviations"][[1]], "gent"))
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antibiotics[which(antibiotics$ab == "GRX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "GRX"), "abbreviations"][[1]], "grep"))
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antibiotics[which(antibiotics$ab == "IPM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "IPM"), "abbreviations"][[1]], "imci"))
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antibiotics[which(antibiotics$ab == "IPM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "IPM"), "abbreviations"][[1]], "imip"))
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antibiotics[which(antibiotics$ab == "ISV"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ISV"), "abbreviations"][[1]], "isav"))
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antibiotics[which(antibiotics$ab == "ITR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "ITR"), "abbreviations"][[1]], "itra"))
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antibiotics[which(antibiotics$ab == "KAH"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "KAH"), "abbreviations"][[1]], "kahl"))
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antibiotics[which(antibiotics$ab == "KAN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "KAN"), "abbreviations"][[1]], "kana"))
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antibiotics[which(antibiotics$ab == "KET"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "KET"), "abbreviations"][[1]], "keto"))
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antibiotics[which(antibiotics$ab == "LVX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "LVX"), "abbreviations"][[1]], "levo"))
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antibiotics[which(antibiotics$ab == "LIN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "LIN"), "abbreviations"][[1]], "linc"))
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antibiotics[which(antibiotics$ab == "LNZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "LNZ"), "abbreviations"][[1]], "line"))
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antibiotics[which(antibiotics$ab == "LOR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "LOR"), "abbreviations"][[1]], "lora"))
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antibiotics[which(antibiotics$ab == "MEM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MEM"), "abbreviations"][[1]], "mero"))
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antibiotics[which(antibiotics$ab == "MET"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MET"), "abbreviations"][[1]], "meti"))
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antibiotics[which(antibiotics$ab == "MTR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MTR"), "abbreviations"][[1]], "metr"))
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antibiotics[which(antibiotics$ab == "MEZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MEZ"), "abbreviations"][[1]], "mezl"))
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antibiotics[which(antibiotics$ab == "MIF"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MIF"), "abbreviations"][[1]], "mica"))
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antibiotics[which(antibiotics$ab == "MCZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MCZ"), "abbreviations"][[1]], "mico"))
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antibiotics[which(antibiotics$ab == "MNO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MNO"), "abbreviations"][[1]], "mino"))
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antibiotics[which(antibiotics$ab == "LTM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "LTM"), "abbreviations"][[1]], "moxa"))
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antibiotics[which(antibiotics$ab == "MFX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "MFX"), "abbreviations"][[1]], "moxi"))
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antibiotics[which(antibiotics$ab == "NAL"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "NAL"), "abbreviations"][[1]], "nali"))
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antibiotics[which(antibiotics$ab == "NEO"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "NEO"), "abbreviations"][[1]], "neom"))
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antibiotics[which(antibiotics$ab == "NET"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "NET"), "abbreviations"][[1]], "neti"))
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antibiotics[which(antibiotics$ab == "NIT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "NIT"), "abbreviations"][[1]], "nitr"))
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antibiotics[which(antibiotics$ab == "NOR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "NOR"), "abbreviations"][[1]], "norf"))
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antibiotics[which(antibiotics$ab == "NYS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "NYS"), "abbreviations"][[1]], "nyst"))
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antibiotics[which(antibiotics$ab == "OFX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "OFX"), "abbreviations"][[1]], "oflo"))
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antibiotics[which(antibiotics$ab == "OXA"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "OXA"), "abbreviations"][[1]], "oxal"))
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antibiotics[which(antibiotics$ab == "PEF"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PEF"), "abbreviations"][[1]], "pefl"))
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antibiotics[which(antibiotics$ab == "PEN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PEN"), "abbreviations"][[1]], "peni"))
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antibiotics[which(antibiotics$ab == "PIP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PIP"), "abbreviations"][[1]], "pipc"))
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|
antibiotics[which(antibiotics$ab == "PPA"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PPA"), "abbreviations"][[1]], "pipz"))
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|
antibiotics[which(antibiotics$ab == "TZP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TZP"), "abbreviations"][[1]], "pita"))
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|
antibiotics[which(antibiotics$ab == "PLB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PLB"), "abbreviations"][[1]], "polb"))
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|
antibiotics[which(antibiotics$ab == "POS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "POS"), "abbreviations"][[1]], "posa"))
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|
antibiotics[which(antibiotics$ab == "PRI"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "PRI"), "abbreviations"][[1]], "pris"))
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|
antibiotics[which(antibiotics$ab == "QDA"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "QDA"), "abbreviations"][[1]], "quda"))
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|
antibiotics[which(antibiotics$ab == "RIF"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "RIF"), "abbreviations"][[1]], "rifa"))
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|
antibiotics[which(antibiotics$ab == "RXT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "RXT"), "abbreviations"][[1]], "roxi"))
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|
antibiotics[which(antibiotics$ab == "SMX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SMX"), "abbreviations"][[1]], "sfmx"))
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|
antibiotics[which(antibiotics$ab == "SLF4"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SLF4"), "abbreviations"][[1]], "sfmz"))
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|
antibiotics[which(antibiotics$ab == "SSS"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SSS"), "abbreviations"][[1]], "sfna"))
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antibiotics[which(antibiotics$ab == "SLF"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SLF"), "abbreviations"][[1]], "sfsz"))
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|
antibiotics[which(antibiotics$ab == "SPX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SPX"), "abbreviations"][[1]], "spar"))
|
|
antibiotics[which(antibiotics$ab == "SPT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SPT"), "abbreviations"][[1]], "spec"))
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|
antibiotics[which(antibiotics$ab == "SPI"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SPI"), "abbreviations"][[1]], "spir"))
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|
antibiotics[which(antibiotics$ab == "STH"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "STH"), "abbreviations"][[1]], "sthl"))
|
|
antibiotics[which(antibiotics$ab == "STR1"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "STR1"), "abbreviations"][[1]], "stre"))
|
|
antibiotics[which(antibiotics$ab == "TAZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TAZ"), "abbreviations"][[1]], "tazo"))
|
|
antibiotics[which(antibiotics$ab == "TEC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TEC"), "abbreviations"][[1]], "teic"))
|
|
antibiotics[which(antibiotics$ab == "TLT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TLT"), "abbreviations"][[1]], "teli"))
|
|
antibiotics[which(antibiotics$ab == "TMX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TMX"), "abbreviations"][[1]], "tema"))
|
|
antibiotics[which(antibiotics$ab == "TEM"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TEM"), "abbreviations"][[1]], "temo"))
|
|
antibiotics[which(antibiotics$ab == "TRB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TRB"), "abbreviations"][[1]], "terb"))
|
|
antibiotics[which(antibiotics$ab == "TCY"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TCY"), "abbreviations"][[1]], "tetr"))
|
|
antibiotics[which(antibiotics$ab == "TIC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TIC"), "abbreviations"][[1]], "tica"))
|
|
antibiotics[which(antibiotics$ab == "TCC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TCC"), "abbreviations"][[1]], "ticl"))
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antibiotics[which(antibiotics$ab == "TGC"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TGC"), "abbreviations"][[1]], "tige"))
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antibiotics[which(antibiotics$ab == "TIN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TIN"), "abbreviations"][[1]], "tini"))
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antibiotics[which(antibiotics$ab == "TOB"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TOB"), "abbreviations"][[1]], "tobr"))
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antibiotics[which(antibiotics$ab == "TOH"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TOH"), "abbreviations"][[1]], "tohl"))
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|
antibiotics[which(antibiotics$ab == "TMP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TMP"), "abbreviations"][[1]], "trim"))
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|
antibiotics[which(antibiotics$ab == "TVA"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "TVA"), "abbreviations"][[1]], "trov"))
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antibiotics[which(antibiotics$ab == "SLT4"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SLT4"), "abbreviations"][[1]], "trsm"))
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antibiotics[which(antibiotics$ab == "SXT"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "SXT"), "abbreviations"][[1]], "trsx"))
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|
antibiotics[which(antibiotics$ab == "VAN"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "VAN"), "abbreviations"][[1]], "vanc"))
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antibiotics[which(antibiotics$ab == "VOR"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "VOR"), "abbreviations"][[1]], "vori"))
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|
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antibiotics[which(antibiotics$ab == "FOS"), "synonyms"][[1]] <- list(sort(c(antibiotics[which(antibiotics$ab == "FOS"), "synonyms"][[1]], "Monuril")))
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antibiotics[which(antibiotics$ab == "FOS"), "synonyms"][[1]] <- list(sort(c(antibiotics[which(antibiotics$ab == "FOS"), "synonyms"][[1]], "Monurol")))
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|
|
|
antibiotics <- antibiotics %>%
|
|
mutate(ab = as.character(ab)) %>%
|
|
rbind(antibiotics %>%
|
|
filter(ab == "GEH") %>%
|
|
mutate(ab = "AMH",
|
|
name = "Amphotericin B-high",
|
|
abbreviations = list(c("amhl", "amfo b high", "ampho b high", "amphotericin high")))) %>%
|
|
rbind(antibiotics %>%
|
|
filter(ab == "GEH") %>%
|
|
mutate(ab = "TOH",
|
|
name = "Tobramycin-high",
|
|
abbreviations = list(c("tohl", "tobra high", "tobramycin high")))) %>%
|
|
rbind(antibiotics %>%
|
|
filter(ab == "BUT") %>%
|
|
mutate(ab = "CIX",
|
|
atc = "D01AE14",
|
|
name = "Ciclopirox",
|
|
group = "Antifungals/antimycotics",
|
|
atc_group1 = "Antifungals for topical use",
|
|
atc_group2 = "Other antifungals for topical use",
|
|
abbreviations = list(c("cipx"))))
|
|
antibiotics[which(antibiotics$ab == "SSS"), "name"] <- "Sulfonamide"
|
|
# ESBL E-test codes:
|
|
antibiotics[which(antibiotics$ab == "CCV"), "abbreviations"][[1]] <- list(c("xtzl"))
|
|
antibiotics[which(antibiotics$ab == "CAZ"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CAZ"), "abbreviations"][[1]], "xtz", "cefta"))
|
|
antibiotics[which(antibiotics$ab == "CPC"), "abbreviations"][[1]] <- list(c("xpml"))
|
|
antibiotics[which(antibiotics$ab == "FEP"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "FEP"), "abbreviations"][[1]], "xpm"))
|
|
antibiotics[which(antibiotics$ab == "CTC"), "abbreviations"][[1]] <- list(c("xctl"))
|
|
antibiotics[which(antibiotics$ab == "CTX"), "abbreviations"][[1]] <- list(c(antibiotics[which(antibiotics$ab == "CTX"), "abbreviations"][[1]], "xct"))
|
|
# High level Gentamcin and Streptomycin
|
|
antibiotics[which(antibiotics$ab == "GEH"), "abbreviations"][[1]] <- list(c("gehl", "gentamicin high", "genta high"))
|
|
antibiotics[which(antibiotics$ab == "STH"), "abbreviations"][[1]] <- list(c("sthl", "streptomycin high", "strepto high"))
|
|
# add imi and "imipenem/cilastatine" to imipenem
|
|
antibiotics[which(antibiotics$ab == "IPM"), "abbreviations"][[1]] <- list(c("imip", "imi", "imp"))
|
|
antibiotics[which(antibiotics$ab == "IPM"), "synonyms"][[1]] <- list(sort(c(antibiotics[which(antibiotics$ab == "IPM"), "synonyms"][[1]], "imipenem/cilastatin")))
|
|
# add synonyms of ones not found
|
|
antibiotics[which(antibiotics$ab == "TZP"), "synonyms"][[1]] <- list(sort(c(antibiotics[which(antibiotics$ab == "TZP"), "synonyms"][[1]], "Tazocel", "tazocillin", "Tazocin", "Zosyn")))
|
|
antibiotics[which(antibiotics$ab == "COL"), "synonyms"][[1]] <- list(sort(unique(c(antibiotics[which(antibiotics$ab == "COL"), "synonyms"][[1]], "Colisticin", "Polymyxin E", "Colimycin", "Coly-Mycin", "Totazina", "Colistimethate", "Promixin", "Colistimethate Sodium"))))
|
|
# remove incorrect synonyms from rifampicin (RIF) and add them to the combination rifampicin/isoniazid (RFI)
|
|
old_sym <- antibiotics[which(antibiotics$ab == "RIF"), "synonyms"][[1]]
|
|
old_sym <- old_sym[!old_sym %in% c("Rifinah", "Rimactazid")]
|
|
antibiotics[which(antibiotics$ab == "RIF"), "synonyms"][[1]] <- list(old_sym)
|
|
antibiotics[which(antibiotics$ab == "RFI"), "synonyms"][[1]] <- list(sort(c("Rifinah", "Rimactazid")))
|
|
# remove incorrect synonyms from sulfamethoxazole (SMX) and add them to the combination trimethoprim/sulfamethoxazole (SXT)
|
|
old_sym <- antibiotics[which(antibiotics$ab == "SMX"), "synonyms"][[1]]
|
|
old_sym <- old_sym[!old_sym %in% c("Cotrimoxazole", "Bactrimel")]
|
|
antibiotics[which(antibiotics$ab == "SMX"), "synonyms"][[1]] <- list(old_sym)
|
|
antibiotics[which(antibiotics$ab == "SXT"), "synonyms"][[1]] <- list(sort(unique(c(antibiotics[which(antibiotics$ab == "COL"), "synonyms"][[1]], "Cotrimoxazole", "Bactrimel", "Septra", "Bactrim", "Cotrimazole"))))
|
|
|
|
# New DDDs
|
|
antibiotics[which(antibiotics$ab == "PEN"), "iv_ddd"] <- 3.6
|
|
antibiotics[which(antibiotics$ab == "PEN"), "iv_units"] <- "g"
|
|
|
|
## new ATC codes
|
|
# ceftaroline
|
|
antibiotics[which(antibiotics$ab == "CPT"), "atc"] <- "J01DI02"
|
|
# faropenem
|
|
antibiotics[which(antibiotics$ab == "FAR"), "atc"] <- "J01DI03"
|
|
# ceftobiprole
|
|
antibiotics[which(antibiotics$ab == "BPR"), "atc"] <- "J01DI01"
|
|
|
|
# typo
|
|
antibiotics[which(antibiotics$ab == "RXT"), "name"] <- "Roxithromycin"
|
|
antibiotics[which(antibiotics$ab == "PEN"), "atc"] <- "J01CE01"
|
|
|
|
# set cephalosporins groups for the ones that could not be determined automatically:
|
|
antibiotics <- antibiotics %>%
|
|
mutate(group = case_when(
|
|
name == "Cefcapene" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefcapene pivoxil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefditoren pivoxil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefepime/clavulanic acid" ~ "Cephalosporins (4th gen.)",
|
|
name == "Cefepime/tazobactam" ~ "Cephalosporins (4th gen.)",
|
|
name == "Cefetamet pivoxil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefetecol (Cefcatacol)" ~ "Cephalosporins (4th gen.)",
|
|
name == "Cefetrizole" ~ "Cephalosporins (unclassified gen.)",
|
|
name == "Cefoselis" ~ "Cephalosporins (4th gen.)",
|
|
name == "Cefotaxime/clavulanic acid" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefotaxime/sulbactam" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefotiam hexetil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefovecin" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefozopran" ~ "Cephalosporins (4th gen.)",
|
|
name == "Cefpimizole" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefpodoxime proxetil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefpodoxime/clavulanic acid" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefquinome" ~ "Cephalosporins (4th gen.)",
|
|
name == "Cefsumide" ~ "Cephalosporins (unclassified gen.)",
|
|
name == "Ceftaroline" ~ "Cephalosporins (5th gen.)",
|
|
name == "Ceftaroline/avibactam" ~ "Cephalosporins (5th gen.)",
|
|
name == "Ceftazidime/avibactam" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefteram" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Cefteram pivoxil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Ceftiofur" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Ceftizoxime alapivoxil" ~ "Cephalosporins (3rd gen.)",
|
|
name == "Ceftobiprole" ~ "Cephalosporins (5th gen.)",
|
|
name == "Ceftobiprole medocaril" ~ "Cephalosporins (5th gen.)",
|
|
name == "Ceftolozane/enzyme inhibitor" ~ "Cephalosporins (5th gen.)",
|
|
name == "Ceftolozane/tazobactam" ~ "Cephalosporins (5th gen.)",
|
|
name == "Cefuroxime axetil" ~ "Cephalosporins (2nd gen.)",
|
|
TRUE ~ group))
|
|
|
|
# set as data.frame again
|
|
antibiotics <- as.data.frame(antibiotics, stringsAsFactors = FALSE)
|
|
class(antibiotics$ab) <- c("ab", "character")
|
|
antibiotics <- antibiotics %>% dplyr::arrange(name)
|
|
|
|
# make all abbreviations and synonyms lower case, unique and alphabetically sorted ----
|
|
for (i in 1:nrow(antibiotics)) {
|
|
abb <- as.character(sort(unique(tolower(antibiotics[i, "abbreviations"][[1]]))))
|
|
syn <- as.character(sort(unique(tolower(antibiotics[i, "synonyms"][[1]]))))
|
|
antibiotics[i, "abbreviations"][[1]] <- ifelse(length(abb[!abb == ""]) == 0, list(""), list(abb))
|
|
antibiotics[i, "synonyms"][[1]] <- ifelse(length(syn[!syn == ""]) == 0, list(""), list(syn))
|
|
if ("loinc" %in% colnames(antibiotics)) {
|
|
loinc <- as.character(sort(unique(tolower(antibiotics[i, "loinc"][[1]]))))
|
|
antibiotics[i, "loinc"][[1]] <- ifelse(length(syn[!syn == ""]) == 0, list(""), list(loinc))
|
|
}
|
|
}
|
|
|
|
# REFER TO data-raw/loinc.R FOR ADDING LOINC CODES
|
|
|
|
usethis::use_data(antibiotics, overwrite = TRUE)
|
|
rm(antibiotics)
|