From 08ddbaa93094c5687ce2ce9f634a4fde8156ad45 Mon Sep 17 00:00:00 2001 From: Matthijs Berends Date: Wed, 15 Jan 2025 16:14:09 +0100 Subject: [PATCH] (v2.1.1.9123) add `EFF` code to antibiotics data set --- DESCRIPTION | 4 +- NAMESPACE | 1 + NEWS.md | 5 +- PythonPackage/AMR/AMR.egg-info/PKG-INFO | 15 +- PythonPackage/AMR/AMR/__init__.py | 1 + PythonPackage/AMR/AMR/functions.py | 3 + .../AMR/dist/AMR-2.1.1.9122-py3-none-any.whl | Bin 9961 -> 0 bytes .../AMR/dist/AMR-2.1.1.9123-py3-none-any.whl | Bin 0 -> 10045 bytes PythonPackage/AMR/dist/amr-2.1.1.9122.tar.gz | Bin 9730 -> 0 bytes PythonPackage/AMR/dist/amr-2.1.1.9123.tar.gz | Bin 0 -> 9815 bytes PythonPackage/AMR/setup.py | 2 +- R/ab.R | 27 + R/ab_selectors.R | 20 +- R/sysdata.rda | Bin 94148 -> 92836 bytes R/zzz.R | 8 +- data-raw/_pre_commit_checks.R | 46 +- data-raw/ab.md5 | 2 +- data-raw/antibiotics.dta | Bin 474369 -> 467413 bytes data-raw/antibiotics.feather | Bin 136418 -> 132522 bytes data-raw/antibiotics.parquet | Bin 109962 -> 105145 bytes data-raw/antibiotics.rds | Bin 44828 -> 43472 bytes data-raw/antibiotics.sav | Bin 387464 -> 372492 bytes data-raw/antibiotics.txt | 799 +++++++++--------- data-raw/antibiotics.xlsx | Bin 76998 -> 75775 bytes ....txt => gpt_training_text_v2.1.1.9123.txt} | 18 +- data-raw/reproduction_of_antibiotics.R | 14 + data/antibiotics.rda | Bin 44836 -> 43520 bytes inst/tinytest/test-ab_selectors.R | 3 + man/AMR.Rd | 2 +- man/antibiotic_class_selectors.Rd | 6 +- man/antibiotics.Rd | 4 +- man/custom_eucast_rules.Rd | 3 +- 32 files changed, 522 insertions(+), 461 deletions(-) delete mode 100644 PythonPackage/AMR/dist/AMR-2.1.1.9122-py3-none-any.whl create mode 100644 PythonPackage/AMR/dist/AMR-2.1.1.9123-py3-none-any.whl delete mode 100644 PythonPackage/AMR/dist/amr-2.1.1.9122.tar.gz create mode 100644 PythonPackage/AMR/dist/amr-2.1.1.9123.tar.gz rename data-raw/{gpt_training_text_v2.1.1.9122.txt => gpt_training_text_v2.1.1.9123.txt} (99%) diff --git a/DESCRIPTION b/DESCRIPTION index ac2e70e54..95d941fe1 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: AMR -Version: 2.1.1.9122 -Date: 2024-12-20 +Version: 2.1.1.9123 +Date: 2025-01-15 Title: Antimicrobial Resistance Data Analysis Description: Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by diff --git a/NAMESPACE b/NAMESPACE index 8d9c9d34f..ee9b3fdab 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -296,6 +296,7 @@ export(not_intrinsic_resistant) export(oxazolidinones) export(pca) export(penicillins) +export(phenicols) export(polymyxins) export(proportion_I) export(proportion_IR) diff --git a/NEWS.md b/NEWS.md index 6442079cd..099adfafc 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# AMR 2.1.1.9122 +# AMR 2.1.1.9123 *(this beta version will eventually become v3.0. We're happy to reach a new major milestone soon, which will be all about the new One Health support! Install this beta using [the instructions here](https://msberends.github.io/AMR/#latest-development-version).)* @@ -47,8 +47,9 @@ This package now supports not only tools for AMR data analysis in clinical setti * `antibiotics` data set * Added "clindamycin inducible screening" as `CLI1`. Since clindamycin is a lincosamide, the antibiotic selector `lincosamides()` now contains the argument `only_treatable = TRUE` (similar to other antibiotic selectors that contain non-treatable drugs) * Added Amorolfine (`AMO`, D01AE16), which is now also part of the `antifungals()` selector + * Added Efflux (`EFF`), to allow mapping to AMRFinderPlus * Antibiotic selectors - * Added selectors `nitrofurans()` and `rifamycins()` + * Added selectors `nitrofurans()`, `phenicols()`, and `rifamycins()` * When using antibiotic selectors (such as `aminoglycosides()`) that exclude non-treatable drugs (such as gentamicin-high), the function now always returns a warning that these can be included using `only_treatable = FALSE` * All selectors can now be run as a separate command to retrieve a vector of all possible antimicrobials that the selector can select * MICs diff --git a/PythonPackage/AMR/AMR.egg-info/PKG-INFO b/PythonPackage/AMR/AMR.egg-info/PKG-INFO index 17b97b6c1..d3c027dc4 100644 --- a/PythonPackage/AMR/AMR.egg-info/PKG-INFO +++ b/PythonPackage/AMR/AMR.egg-info/PKG-INFO @@ -1,6 +1,6 @@ -Metadata-Version: 2.1 +Metadata-Version: 2.2 Name: AMR -Version: 2.1.1.9122 +Version: 2.1.1.9123 Summary: A Python wrapper for the AMR R package Home-page: https://github.com/msberends/AMR Author: Matthijs Berends @@ -14,6 +14,17 @@ Description-Content-Type: text/markdown Requires-Dist: rpy2 Requires-Dist: numpy Requires-Dist: pandas +Dynamic: author +Dynamic: author-email +Dynamic: classifier +Dynamic: description +Dynamic: description-content-type +Dynamic: home-page +Dynamic: license +Dynamic: project-url +Dynamic: requires-dist +Dynamic: requires-python +Dynamic: summary --- title: "AMR for Python" diff --git a/PythonPackage/AMR/AMR/__init__.py b/PythonPackage/AMR/AMR/__init__.py index 60f4069cb..9eaa13f79 100644 --- a/PythonPackage/AMR/AMR/__init__.py +++ b/PythonPackage/AMR/AMR/__init__.py @@ -47,6 +47,7 @@ from .functions import macrolides from .functions import nitrofurans from .functions import oxazolidinones from .functions import penicillins +from .functions import phenicols from .functions import polymyxins from .functions import quinolones from .functions import rifamycins diff --git a/PythonPackage/AMR/AMR/functions.py b/PythonPackage/AMR/AMR/functions.py index 25a4e5283..5baa1d878 100644 --- a/PythonPackage/AMR/AMR/functions.py +++ b/PythonPackage/AMR/AMR/functions.py @@ -171,6 +171,9 @@ def oxazolidinones(only_sir_columns = False, *args, **kwargs): def penicillins(only_sir_columns = False, *args, **kwargs): """See our website of the R package for the manual: https://msberends.github.io/AMR/index.html""" return convert_to_python(amr_r.penicillins(only_sir_columns = False, *args, **kwargs)) +def phenicols(only_sir_columns = False, *args, **kwargs): + """See our website of the R package for the manual: https://msberends.github.io/AMR/index.html""" + return convert_to_python(amr_r.phenicols(only_sir_columns = False, *args, **kwargs)) def polymyxins(only_sir_columns = False, *args, **kwargs): """See our website of the R package for the manual: https://msberends.github.io/AMR/index.html""" return convert_to_python(amr_r.polymyxins(only_sir_columns = False, *args, **kwargs)) diff --git a/PythonPackage/AMR/dist/AMR-2.1.1.9122-py3-none-any.whl b/PythonPackage/AMR/dist/AMR-2.1.1.9122-py3-none-any.whl deleted file mode 100644 index 7e659733a385fccaf820de7d877c02b15bc01595..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 9961 zcmaKS18`=|)^(gGoFtQEVmz7Hwr$%sCYsn2+qP}nwrzW2{`21Ze|7JD>-+BM>N@A_ zQ)^XsonBpg_ug`n;1H-FARqvca+!E_2v@~n6i5(|0UQvJFMq83(h9V?y5=_Kj=H)u zcCHEPlFoZ9Nb6JN9)9i1;)v14=qpl)KG1&BD98Z4>zo00PuN`CvEPN*^MkePkVxmY zXj}!=Jnsyrxr_;KMoSn9uDNA8c|^tzcCB(B4DYCo8gT+*bq_36IAX5`(Ac5OIK6CV z6*DpjA$P=3XJed>rJJbOZ$mcz7U;^y8W7=2lrScSqCKfU@!vWnOv%Kf=J9~Oho}~) z=dBnkZs*q?P)&NJc9TVoz5$R^c&jQGqS$cyEUCWk<$A>XJtjreDfQ{WL zC)ZkFT+B=%KZwNy>%3Ne*Ns_WWJS56s5TOukT>y7zrtwHVjNz-M(-DAcY>H-{l$u_ 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zqFeaO6S&^*H=?AL!P`O|yFbpJd@W=qBWF@j$iJD|^V4tPIJ0|m|7>_ukM|3>w9(k{ z@0KT7d|42`d+j@U1{A_h|1%vkuywE7jvQFeX4^AhTl@t3^chB5?_arm8zK(-pMkwV zitc;+|NW_)KQ52Kv_n?vj$kpJBeugJ-=Uk~9e=gO|EYt5E^lGWMrIrjuw^jpJ$CZT zJp_hF;^J7VDE-gfwIpESIV1ow3%+&-EMabMLtt$({hME*+r%(u?)o=aOxMYit2d-W z1Zw;qR+kLZ8xN@g1O8lZ|9_<~0oBmAhLp*MCjC9z-ID}g<5IkapqBZ=E+b5+kDbcF_SDoA@VS4}Qw^Df zQ1@cu6vlIxoENK$|Hb<<% select(", function_name, "())\n", " ", AMR_env$bullet_icon, " your_data %>% select(column_a, column_b, ", function_name, "())\n", " ", AMR_env$bullet_icon, " your_data %>% filter(any(", function_name, "() == \"R\"))\n", " ", AMR_env$bullet_icon, " your_data[, ", function_name, "()]\n", - " ", AMR_env$bullet_icon, " your_data[, c(\"column_a\", \"column_b\", ", function_name, "())]" - ) - message_("The function `" , function_name, "()` should be used inside a `dplyr` verb or `data.frame` call", - examples, "\n\nNow returning a vector of all possible antimicrobials that `" , function_name, "()` can select.") + " ", AMR_env$bullet_icon, " your_data[, c(\"column_a\", \"column_b\", ", function_name, "())]") + message_("The function `" , function_name, "()` should be used inside a `dplyr` verb or `data.frame` call, e.g.:\n", + examples, + "\n\nNow returning a vector of all possible antimicrobials that `" , function_name, "()` can select.") return(sort(abx)) } diff --git a/R/sysdata.rda b/R/sysdata.rda index 121700d32e30fcec25a2e559a4573760bb9182f5..69d56296f74cb799e8b3807658f6ae5644579a7c 100755 GIT binary patch delta 52926 zcmV(lK=i-F-vy-A1&|p6fElqHc%6TJn7G{)FDg|CR&5K8eu7y*VfoFN!Z0u{i1YIz zmQ#}04E{(Rbm=On%(7=oC_R|j6445;!bg^< zHp38ED_tXHHXx9ktB|ayG4+%dq|=KB_8vFy#Vz1S50HUC@>8s(h+xT?O3r`nZ=DpS zrn3e+0HP-;HdVg@oHjKb`Kn6UG6F!Zy&j}vI(yqA`t7(aX=m6a3#?c3PvmcOoQ&;m zNzU#}bnsM!d`Rz==U61LuPdHqL0pNmf2bQKAu`D$S6d(Ck^$Blv{pv%-^+cnX!TGg|=Y7fu-3{B%;F0btH@QEC>^u^W2o z;k?Zc%L(ZZJ0kXW0%yUJs0qp+=b1qsOwzeWBR0(q3Ixr6R*|DZv@L{TfabaOIYaau zs`=I)rl9>x?eB>{0S*W2VtB}YJ3OrTFAMsw*Db6Y9HQop%p-q2G$XDAf1dXiSO4YK 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zp;_z_eA77ZCNiPKf_(zYO~&tY`c&@p5iB!E2)Hbb517a{^5@5AHg>1>5c*SVLo#)Y lxOuOs*Z@vMQj7orpx*_@-Yh=Zv0pwg4T}N*00001Sz4eu5Ssu1 diff --git a/R/zzz.R b/R/zzz.R index d6112a584..81a86fad8 100755 --- a/R/zzz.R +++ b/R/zzz.R @@ -200,10 +200,14 @@ AMR_env$cli_abort <- import_fn("cli_abort", "cli", error_on_fail = FALSE) if (pkg_is_available("tibble")) { try(loadNamespace("tibble"), silent = TRUE) } - + # reference data - they have additional data to improve algorithm speed # they cannot be part of R/sysdata.rda since CRAN thinks it would make the package too large (+3 MB) - AMR_env$AB_lookup <- cbind(AMR::antibiotics, AB_LOOKUP) + if (NROW(AB_LOOKUP) != NROW(AMR::antibiotics)) { + # antibiotics data set was updated - run create_AB_AV_lookup() again + AB_LOOKUP <- create_AB_AV_lookup(AMR::antibiotics) + } + AMR_env$AB_lookup <- cbind(AMR::antibiotics, AB_LOOKUP) AMR_env$AV_lookup <- cbind(AMR::antivirals, AV_LOOKUP) } diff --git a/data-raw/_pre_commit_checks.R b/data-raw/_pre_commit_checks.R index cafb99653..8f27aba45 100644 --- a/data-raw/_pre_commit_checks.R +++ b/data-raw/_pre_commit_checks.R @@ -101,7 +101,7 @@ create_species_cons_cops <- function(type = c("CoNS", "CoPS")) { # - Becker et al. 2019, PMID 30872103 # - Becker et al. 2020, PMID 32056452 # this function returns class - MO_staph <- AMR::microorganisms + MO_staph <- microorganisms MO_staph <- MO_staph[which(MO_staph$genus == "Staphylococcus"), , drop = FALSE] if (type == "CoNS") { MO_staph[ @@ -152,12 +152,12 @@ create_species_cons_cops <- function(type = c("CoNS", "CoPS")) { } pre_commit_lst$MO_CONS <- create_species_cons_cops("CoNS") pre_commit_lst$MO_COPS <- create_species_cons_cops("CoPS") -pre_commit_lst$MO_STREP_ABCG <- AMR::microorganisms$mo[which(AMR::microorganisms$genus == "Streptococcus" & - tolower(AMR::microorganisms$species) %in% c( +pre_commit_lst$MO_STREP_ABCG <- microorganisms$mo[which(microorganisms$genus == "Streptococcus" & + tolower(microorganisms$species) %in% c( "pyogenes", "agalactiae", "dysgalactiae", "equi", "canis", "group a", "group b", "group c", "group g" ))] -pre_commit_lst$MO_LANCEFIELD <- AMR::microorganisms$mo[which(AMR::microorganisms$mo %like% "^(B_STRPT_PYGN(_|$)|B_STRPT_AGLC(_|$)|B_STRPT_(DYSG|EQUI)(_|$)|B_STRPT_ANGN(_|$)|B_STRPT_(DYSG|CANS)(_|$)|B_STRPT_SNGN(_|$)|B_STRPT_SLVR(_|$))")] +pre_commit_lst$MO_LANCEFIELD <- microorganisms$mo[which(microorganisms$mo %like% "^(B_STRPT_PYGN(_|$)|B_STRPT_AGLC(_|$)|B_STRPT_(DYSG|EQUI)(_|$)|B_STRPT_ANGN(_|$)|B_STRPT_(DYSG|CANS)(_|$)|B_STRPT_SNGN(_|$)|B_STRPT_SLVR(_|$))")] pre_commit_lst$MO_WHO_PRIORITY_GENERA <- c( # World Health Organization's (WHO) Priority Pathogen List (some are from the group Enterobacteriaceae) "Acinetobacter", @@ -419,6 +419,9 @@ pre_commit_lst$AB_OXAZOLIDINONES <- antibiotics %>% pre_commit_lst$AB_PENICILLINS <- antibiotics %>% filter(group %like% "penicillin") %>% pull(ab) +pre_commit_lst$AB_PHENICOLS <- antibiotics %>% + filter(group %like% "phenicol" | atc_group1 %like% "phenicol" | atc_group2 %like% "phenicol") %>% + pull(ab) pre_commit_lst$AB_POLYMYXINS <- antibiotics %>% filter(group %like% "polymyxin") %>% pull(ab) @@ -445,34 +448,9 @@ pre_commit_lst$AB_BETALACTAMS_WITH_INHIBITOR <- antibiotics %>% pull(ab) # this will be used for documentation: pre_commit_lst$DEFINED_AB_GROUPS <- sort(names(pre_commit_lst)[names(pre_commit_lst) %like% "^AB_" & names(pre_commit_lst) != "AB_LOOKUP"]) -create_AB_AV_lookup <- function(df) { - new_df <- df - new_df$generalised_name <- generalise_antibiotic_name(new_df$name) - new_df$generalised_synonyms <- lapply(new_df$synonyms, generalise_antibiotic_name) - if ("abbreviations" %in% colnames(df)) { - new_df$generalised_abbreviations <- lapply(new_df$abbreviations, generalise_antibiotic_name) - } - new_df$generalised_loinc <- lapply(new_df$loinc, generalise_antibiotic_name) - new_df$generalised_all <- unname(lapply( - as.list(as.data.frame( - t(new_df[, - c( - colnames(new_df)[colnames(new_df) %in% c("ab", "av", "atc", "cid", "name")], - colnames(new_df)[colnames(new_df) %like% "generalised"] - ), - drop = FALSE - ]), - stringsAsFactors = FALSE - )), - function(x) { - x <- generalise_antibiotic_name(unname(unlist(x))) - x[x != ""] - } - )) - new_df[, colnames(new_df)[colnames(new_df) %like% "^generalised"]] -} -pre_commit_lst$AB_LOOKUP <- create_AB_AV_lookup(AMR::antibiotics) -pre_commit_lst$AV_LOOKUP <- create_AB_AV_lookup(AMR::antivirals) + +pre_commit_lst$AB_LOOKUP <- create_AB_AV_lookup(antibiotics) +pre_commit_lst$AV_LOOKUP <- create_AB_AV_lookup(antivirals) # Export to package as internal data ---- # usethis::use_data() must receive unquoted object names, which is not flexible at all. @@ -521,8 +499,8 @@ changed_md5 <- function(object) { # give official names to ABs and MOs clin_break <- clinical_breakpoints %>% - mutate(mo_name = mo_name(mo, language = NULL, keep_synonyms = TRUE, info = FALSE), .after = mo) %>% - mutate(ab_name = ab_name(ab, language = NULL), .after = ab) + mutate(mo_name = microorganisms$fullname[match(mo, microorganisms$mo)], .after = mo) %>% + mutate(ab_name = antibiotics$name[match(ab, antibiotics$ab)], .after = ab) if (changed_md5(clin_break)) { usethis::ui_info(paste0("Saving {usethis::ui_value('clinical_breakpoints')} to {usethis::ui_value('data-raw/')}")) write_md5(clin_break) diff --git a/data-raw/ab.md5 b/data-raw/ab.md5 index c1c9eae6e..fe0ecd4ac 100644 --- a/data-raw/ab.md5 +++ b/data-raw/ab.md5 @@ -1 +1 @@ -6f6b49606c2c51f8344fbb9e186a3ad3 +33a6626c9ac1ca6c5c13ad96588d11e5 diff --git a/data-raw/antibiotics.dta b/data-raw/antibiotics.dta index 2bbb86523554d59be67f3a537736385a0a28f7c8..969e19c82201f6f0afbbaf88690dd4287b459afd 100644 GIT binary patch delta 18127 zcmZWQcVJY-)4X^0=8+?i5Yl@kAiXA`B{Y%Viy-B4cS+7%N$!%61R)SQDlNjGbVX4F zMG;m-l%fJ6BE^EDG^L4BM5_GwX5YI_g5UiC`(|fnXJ@DF>}JOO=5rz#^cBkb21uhi;-g|ImhI{--KxuhSn-6UvTp`S-lup^44Z(` zA92zU%qme5s_M`2V?|6Fnuw>b7-HG^lM)OJdh$taYWn9)Mem#(M{y|@CK=mQy*Kiz 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data-raw/gpt_training_text_v2.1.1.9123.txt index 4073905ba..59df8aca7 100644 --- a/data-raw/gpt_training_text_v2.1.1.9122.txt +++ b/data-raw/gpt_training_text_v2.1.1.9123.txt @@ -1,5 +1,5 @@ This files contains all context you must know about the AMR package for R. -First and foremost, you are trained on version 2.1.1.9122. Remember this whenever someone asks which AMR package version you’re at. +First and foremost, you are trained on version 2.1.1.9123. Remember this whenever someone asks which AMR package version you’re at. -------------------------------- THE PART HEREAFTER CONTAINS CONTENTS FROM FILE 'NAMESPACE': @@ -303,6 +303,7 @@ export(not_intrinsic_resistant) export(oxazolidinones) export(pca) export(penicillins) +export(phenicols) export(polymyxins) export(proportion_I) export(proportion_IR) @@ -782,7 +783,7 @@ The \code{AMR} package is a \href{https://msberends.github.io/AMR/#copyright}{fr This work was published in the Journal of Statistical Software (Volume 104(3); \doi{10.18637/jss.v104.i03}) and formed the basis of two PhD theses (\doi{10.33612/diss.177417131} and \doi{10.33612/diss.192486375}). -After installing this package, R knows \href{https://msberends.github.io/AMR/reference/microorganisms.html}{\strong{~79 000 microorganisms}} (updated June 2024) and all \href{https://msberends.github.io/AMR/reference/antibiotics.html}{\strong{~600 antibiotic, antimycotic and antiviral drugs}} by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). \strong{It was designed to work in any setting, including those with very limited resources}. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public \href{https://www.rug.nl}{University of Groningen}, in collaboration with non-profit organisations \href{https://www.certe.nl}{Certe Medical Diagnostics and Advice Foundation} and \href{https://www.umcg.nl}{University Medical Center Groningen}. +After installing this package, R knows \href{https://msberends.github.io/AMR/reference/microorganisms.html}{\strong{~79 000 microorganisms}} (updated June 2024) and all \href{https://msberends.github.io/AMR/reference/antibiotics.html}{\strong{~610 antibiotic, antimycotic and antiviral drugs}} by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). \strong{It was designed to work in any setting, including those with very limited resources}. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public \href{https://www.rug.nl}{University of Groningen}, in collaboration with non-profit organisations \href{https://www.certe.nl}{Certe Medical Diagnostics and Advice Foundation} and \href{https://www.umcg.nl}{University Medical Center Groningen}. The \code{AMR} package is available in English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages. } @@ -1952,6 +1953,7 @@ THE PART HEREAFTER CONTAINS CONTENTS FROM FILE 'man/antibiotic_class_selectors.R \alias{nitrofurans} \alias{oxazolidinones} \alias{penicillins} +\alias{phenicols} \alias{polymyxins} \alias{quinolones} \alias{rifamycins} @@ -2010,6 +2012,8 @@ oxazolidinones(only_sir_columns = FALSE, ...) penicillins(only_sir_columns = FALSE, ...) +phenicols(only_sir_columns = FALSE, ...) + polymyxins(only_sir_columns = FALSE, only_treatable = TRUE, ...) quinolones(only_sir_columns = FALSE, ...) @@ -2051,7 +2055,7 @@ not_intrinsic_resistant( \item{version_expertrules}{the version number to use for the EUCAST Expert Rules and Intrinsic Resistance guideline. Can be "3.3", "3.2", or "3.1".} } \value{ -When used inside selecting or filtering, this returns a \link{character} vector of column names, with additional class \code{"ab_selector"}. When used individually, this returns an \link[=as.ab]{'ab' vector} with all possible antimicrobial that the function would be able to select or filter. +When used inside selecting or filtering, this returns a \link{character} vector of column names, with additional class \code{"ab_selector"}. When used individually, this returns an \link[=as.ab]{'ab' vector} with all possible antimicrobials that the function would be able to select or filter. } \description{ These functions allow for filtering rows and selecting columns based on antibiotic test results that are of a specific antibiotic class or group (according to the \link{antibiotics} data set), without the need to define the columns or antibiotic abbreviations. @@ -2095,6 +2099,7 @@ The \code{\link[=not_intrinsic_resistant]{not_intrinsic_resistant()}} function c \item \code{\link[=nitrofurans]{nitrofurans()}} can select: \cr furazidin (FUR), furazolidone (FRZ), nifurtoinol (NFR), nitrofurantoin (NIT), and nitrofurazone (NIZ) \item \code{\link[=oxazolidinones]{oxazolidinones()}} can select: \cr cadazolid (CDZ), cycloserine (CYC), linezolid (LNZ), tedizolid (TZD), and thiacetazone (THA) \item \code{\link[=penicillins]{penicillins()}} can select: \cr amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), carbenicillin (CRB), carindacillin (CRN), cefepime/nacubactam (FNC), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), epicillin (EPC), flucloxacillin (FLC), hetacillin (HET), lenampicillin (LEN), mecillinam (MEC), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), temocillin (TEM), ticarcillin (TIC), and ticarcillin/clavulanic acid (TCC) +\item \code{\link[=phenicols]{phenicols()}} can select: \cr chloramphenicol (CHL), florfenicol (FLR), and thiamphenicol (THI) \item \code{\link[=polymyxins]{polymyxins()}} can select: \cr colistin (COL), polymyxin B (PLB), and polymyxin B/polysorbate 80 (POP) \item \code{\link[=quinolones]{quinolones()}} can select: \cr besifloxacin (BES), cinoxacin (CIN), ciprofloxacin (CIP), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), flumequine (FLM), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), lascufloxacin (LSC), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nalidixic acid (NAL), nemonoxacin (NEM), nifuroquine (NIF), nitroxoline (NTR), norfloxacin (NOR), ofloxacin (OFX), orbifloxacin (ORB), oxolinic acid (OXO), pazufloxacin (PAZ), pefloxacin (PEF), pipemidic acid (PPA), piromidic acid (PIR), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rosoxacin (ROS), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX), and trovafloxacin (TVA) \item \code{\link[=rifamycins]{rifamycins()}} can select: \cr rifabutin (RIB), rifampicin (RIF), rifampicin/ethambutol/isoniazid (REI), rifampicin/isoniazid (RFI), rifampicin/pyrazinamide/ethambutol/isoniazid (RPEI), rifampicin/pyrazinamide/isoniazid (RPI), rifamycin (RFM), and rifapentine (RFP) @@ -2294,9 +2299,9 @@ THE PART HEREAFTER CONTAINS CONTENTS FROM FILE 'man/antibiotics.Rd': \name{antibiotics} \alias{antibiotics} \alias{antivirals} -\title{Data Sets with 605 Antimicrobial Drugs} +\title{Data Sets with 606 Antimicrobial Drugs} \format{ -\subsection{For the \link{antibiotics} data set: a \link[tibble:tibble]{tibble} with 485 observations and 14 variables:}{ +\subsection{For the \link{antibiotics} data set: a \link[tibble:tibble]{tibble} with 486 observations and 14 variables:}{ \itemize{ \item \code{ab}\cr Antibiotic ID as used in this package (such as \code{AMC}), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available. \emph{\strong{This is a unique identifier.}} \item \code{cid}\cr Compound ID as found in PubChem. \emph{\strong{This is a unique identifier.}} @@ -4288,7 +4293,7 @@ x #> amoxicillin (AMX), ampicillin (AMP), azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP), piperacillin/tazobactam (TZP) }\if{html}{\out{}} -These 31 antibiotic groups are allowed in the rules (case-insensitive) and can be used in any combination: +These 32 antibiotic groups are allowed in the rules (case-insensitive) and can be used in any combination: \itemize{ \item aminoglycosides\cr(amikacin, amikacin/fosfomycin, apramycin, arbekacin, astromicin, bekanamycin, dibekacin, framycetin, gentamicin, gentamicin-high, habekacin, hygromycin, isepamicin, kanamycin, kanamycin-high, kanamycin/cephalexin, micronomicin, neomycin, netilmicin, pentisomicin, plazomicin, propikacin, ribostamycin, sisomicin, streptoduocin, streptomycin, streptomycin-high, tobramycin, and tobramycin-high) \item aminopenicillins\cr(amoxicillin and ampicillin) @@ -4313,6 +4318,7 @@ These 31 antibiotic groups are allowed in the rules (case-insensitive) and can b \item nitrofurans\cr(furazidin, furazolidone, nifurtoinol, nitrofurantoin, and nitrofurazone) \item oxazolidinones\cr(cadazolid, cycloserine, linezolid, tedizolid, and thiacetazone) \item penicillins\cr(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, carbenicillin, carindacillin, cefepime/nacubactam, ciclacillin, clometocillin, cloxacillin, dicloxacillin, epicillin, flucloxacillin, hetacillin, lenampicillin, mecillinam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, temocillin, ticarcillin, and ticarcillin/clavulanic acid) +\item phenicols\cr(chloramphenicol, florfenicol, and thiamphenicol) \item polymyxins\cr(colistin, polymyxin B, and polymyxin B/polysorbate 80) \item quinolones\cr(besifloxacin, cinoxacin, ciprofloxacin, ciprofloxacin/metronidazole, ciprofloxacin/ornidazole, ciprofloxacin/tinidazole, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, flumequine, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nalidixic acid, nemonoxacin, nifuroquine, nitroxoline, norfloxacin, ofloxacin, orbifloxacin, oxolinic acid, pazufloxacin, pefloxacin, pipemidic acid, piromidic acid, pradofloxacin, premafloxacin, prulifloxacin, rosoxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, and trovafloxacin) \item rifamycins\cr(rifabutin, rifampicin, rifampicin/ethambutol/isoniazid, rifampicin/isoniazid, rifampicin/pyrazinamide/ethambutol/isoniazid, rifampicin/pyrazinamide/isoniazid, rifamycin, and rifapentine) diff --git a/data-raw/reproduction_of_antibiotics.R b/data-raw/reproduction_of_antibiotics.R index a69d6831e..f315fc9a8 100644 --- a/data-raw/reproduction_of_antibiotics.R +++ b/data-raw/reproduction_of_antibiotics.R @@ -760,6 +760,20 @@ antibiotics <- antibiotics %>% )) antibiotics[which(antibiotics$ab %in% c("CYC", "LNZ", "THA", "TZD")), "group"] <- "Oxazolidinones" +# add efflux +effl <- antibiotics |> + filter(ab == "ACM") |> + mutate(ab = as.character("EFF"), + cid = NA_real_, + name = "Efflux", + group = "Other") +antibiotics <- antibiotics |> + mutate(ab = as.character(ab)) |> + bind_rows(effl) +class(antibiotics$ab) <- c("ab", "character") +antibiotics[which(antibiotics$ab == "EFF"), "abbreviations"][[1]] <- list(c("effflux pump")) + + # add clindamycin inducible screening clin <- antibiotics |> filter(ab == "FOX1") |> diff --git 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zg9m`&xRrAnn7ZY4ci$psSZij_KGg(1Van@mjtQ)%`^h&h(69k;SgzS-!V`!SV~Mw( znd}w3Y)R3!MX0x*&61ndVZqSTJBs!#=y_zxpxU;iu0mOK-nOOu&}h)yAw9x|bQ$UU zUsdTRR@Kg!<9i*V&tZHrP!8Nyh#gtn<9A_xzfLP)DbNYHb$ueVTq&RMo{m4c)Zc%1 z4JSUOIK~Am`dnWzE+3*}zhIfD>Tyh&NijHJQi)t7(nd1pip=|84h#EuvAJz<%c}%8 z4L>)-UfVug96F>XVaTY8I?I;%pApTUxv8NhO|TjRjrq0TjsjpyJo7XeugIa&Z#9d7 z**6xV3!vN6F{<*vd}YI@ml^fxvrkc)FZVa3z^ZG-nB1tv_J0tCK_^eO0zw=Z6xC5G zaGwVcgSj<5x@sG3_k+U@o`?*-#&L$Y&vsRIX*Wc$MX1cBdSB+$L$1AvEK-ZY5;EH}UEif6fR#qnv&S!YcVG~>Q>q*Nf33pU_0 z5tWb4(^G69E-bN)ZY^yk*N@)w`VamYGnx*N>u&ss=%;U`idKYrftWd5i|lIib139_ zQW-pmJ@7mi1+=wlH&738_U?G&%Hcx~mE)3drBm>!3^OhTy$B;y@8rnRSg|0UOGNF3 z8&Ki!S>#C=CLW$hRXa=yX@m>Abt(Ki@m$!*D9%`z;^p1q^K(xd3fZ{I=A;@1EG g0LO6$761YM-2#P@54H1`13oYfivj=u00045TF)<1{{R30 diff --git a/inst/tinytest/test-ab_selectors.R b/inst/tinytest/test-ab_selectors.R index 2ac03f18d..eead76b63 100644 --- a/inst/tinytest/test-ab_selectors.R +++ b/inst/tinytest/test-ab_selectors.R @@ -44,9 +44,12 @@ expect_equal(ncol(example_isolates[, glycopeptides(), drop = FALSE]), 2, toleran expect_equal(ncol(example_isolates[, lincosamides(), drop = FALSE]), 1, tolerance = 0.5) expect_equal(ncol(example_isolates[, lipoglycopeptides(), drop = FALSE]), 0, tolerance = 0.5) expect_equal(ncol(example_isolates[, macrolides(), drop = FALSE]), 2, tolerance = 0.5) +expect_equal(ncol(example_isolates[, nitrofurans(), drop = FALSE]), 1, tolerance = 0.5) expect_equal(ncol(example_isolates[, oxazolidinones(), drop = FALSE]), 1, tolerance = 0.5) expect_equal(ncol(example_isolates[, penicillins(), drop = FALSE]), 7, tolerance = 0.5) +expect_equal(ncol(example_isolates[, phenicols(), drop = FALSE]), 1, tolerance = 0.5) expect_equal(ncol(example_isolates[, polymyxins(), drop = FALSE]), 1, tolerance = 0.5) +expect_equal(ncol(example_isolates[, rifamycins(), drop = FALSE]), 1, tolerance = 0.5) expect_equal(ncol(example_isolates[, streptogramins(), drop = FALSE]), 0, tolerance = 0.5) expect_equal(ncol(example_isolates[, quinolones(), drop = FALSE]), 2, tolerance = 0.5) expect_equal(ncol(example_isolates[, tetracyclines(), drop = FALSE]), 3, tolerance = 0.5) diff --git a/man/AMR.Rd b/man/AMR.Rd index eab3aabee..87c39d697 100644 --- a/man/AMR.Rd +++ b/man/AMR.Rd @@ -32,7 +32,7 @@ The \code{AMR} package is a \href{https://msberends.github.io/AMR/#copyright}{fr This work was published in the Journal of Statistical Software (Volume 104(3); \doi{10.18637/jss.v104.i03}) and formed the basis of two PhD theses (\doi{10.33612/diss.177417131} and \doi{10.33612/diss.192486375}). -After installing this package, R knows \href{https://msberends.github.io/AMR/reference/microorganisms.html}{\strong{~79 000 microorganisms}} (updated June 2024) and all \href{https://msberends.github.io/AMR/reference/antibiotics.html}{\strong{~600 antibiotic, antimycotic and antiviral drugs}} by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). \strong{It was designed to work in any setting, including those with very limited resources}. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public \href{https://www.rug.nl}{University of Groningen}, in collaboration with non-profit organisations \href{https://www.certe.nl}{Certe Medical Diagnostics and Advice Foundation} and \href{https://www.umcg.nl}{University Medical Center Groningen}. +After installing this package, R knows \href{https://msberends.github.io/AMR/reference/microorganisms.html}{\strong{~79 000 microorganisms}} (updated June 2024) and all \href{https://msberends.github.io/AMR/reference/antibiotics.html}{\strong{~610 antibiotic, antimycotic and antiviral drugs}} by name and code (including ATC, EARS-Net, ASIARS-Net, PubChem, LOINC and SNOMED CT), and knows all about valid SIR and MIC values. The integral clinical breakpoint guidelines from CLSI and EUCAST are included, even with epidemiological cut-off (ECOFF) values. It supports and can read any data format, including WHONET data. This package works on Windows, macOS and Linux with all versions of R since R-3.0 (April 2013). \strong{It was designed to work in any setting, including those with very limited resources}. It was created for both routine data analysis and academic research at the Faculty of Medical Sciences of the public \href{https://www.rug.nl}{University of Groningen}, in collaboration with non-profit organisations \href{https://www.certe.nl}{Certe Medical Diagnostics and Advice Foundation} and \href{https://www.umcg.nl}{University Medical Center Groningen}. The \code{AMR} package is available in English, Chinese, Czech, Danish, Dutch, Finnish, French, German, Greek, Italian, Japanese, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, and Ukrainian. Antimicrobial drug (group) names and colloquial microorganism names are provided in these languages. } diff --git a/man/antibiotic_class_selectors.Rd b/man/antibiotic_class_selectors.Rd index ffd48e254..628ec43c4 100644 --- a/man/antibiotic_class_selectors.Rd +++ b/man/antibiotic_class_selectors.Rd @@ -25,6 +25,7 @@ \alias{nitrofurans} \alias{oxazolidinones} \alias{penicillins} +\alias{phenicols} \alias{polymyxins} \alias{quinolones} \alias{rifamycins} @@ -83,6 +84,8 @@ oxazolidinones(only_sir_columns = FALSE, ...) penicillins(only_sir_columns = FALSE, ...) +phenicols(only_sir_columns = FALSE, ...) + polymyxins(only_sir_columns = FALSE, only_treatable = TRUE, ...) quinolones(only_sir_columns = FALSE, ...) @@ -124,7 +127,7 @@ not_intrinsic_resistant( \item{version_expertrules}{the version number to use for the EUCAST Expert Rules and Intrinsic Resistance guideline. Can be "3.3", "3.2", or "3.1".} } \value{ -When used inside selecting or filtering, this returns a \link{character} vector of column names, with additional class \code{"ab_selector"}. When used individually, this returns an \link[=as.ab]{'ab' vector} with all possible antimicrobial that the function would be able to select or filter. +When used inside selecting or filtering, this returns a \link{character} vector of column names, with additional class \code{"ab_selector"}. When used individually, this returns an \link[=as.ab]{'ab' vector} with all possible antimicrobials that the function would be able to select or filter. } \description{ These functions allow for filtering rows and selecting columns based on antibiotic test results that are of a specific antibiotic class or group (according to the \link{antibiotics} data set), without the need to define the columns or antibiotic abbreviations. @@ -168,6 +171,7 @@ The \code{\link[=not_intrinsic_resistant]{not_intrinsic_resistant()}} function c \item \code{\link[=nitrofurans]{nitrofurans()}} can select: \cr furazidin (FUR), furazolidone (FRZ), nifurtoinol (NFR), nitrofurantoin (NIT), and nitrofurazone (NIZ) \item \code{\link[=oxazolidinones]{oxazolidinones()}} can select: \cr cadazolid (CDZ), cycloserine (CYC), linezolid (LNZ), tedizolid (TZD), and thiacetazone (THA) \item \code{\link[=penicillins]{penicillins()}} can select: \cr amoxicillin (AMX), amoxicillin/clavulanic acid (AMC), amoxicillin/sulbactam (AXS), ampicillin (AMP), ampicillin/sulbactam (SAM), apalcillin (APL), aspoxicillin (APX), avibactam (AVB), azidocillin (AZD), azlocillin (AZL), aztreonam (ATM), aztreonam/avibactam (AZA), aztreonam/nacubactam (ANC), bacampicillin (BAM), benzathine benzylpenicillin (BNB), benzathine phenoxymethylpenicillin (BNP), benzylpenicillin (PEN), carbenicillin (CRB), carindacillin (CRN), cefepime/nacubactam (FNC), ciclacillin (CIC), clometocillin (CLM), cloxacillin (CLO), dicloxacillin (DIC), epicillin (EPC), flucloxacillin (FLC), hetacillin (HET), lenampicillin (LEN), mecillinam (MEC), metampicillin (MTM), meticillin (MET), mezlocillin (MEZ), mezlocillin/sulbactam (MSU), nacubactam (NAC), nafcillin (NAF), oxacillin (OXA), penamecillin (PNM), penicillin/novobiocin (PNO), penicillin/sulbactam (PSU), pheneticillin (PHE), phenoxymethylpenicillin (PHN), piperacillin (PIP), piperacillin/sulbactam (PIS), piperacillin/tazobactam (TZP), piridicillin (PRC), pivampicillin (PVM), pivmecillinam (PME), procaine benzylpenicillin (PRB), propicillin (PRP), sarmoxicillin (SRX), sulbactam (SUL), sulbenicillin (SBC), sultamicillin (SLT6), talampicillin (TAL), tazobactam (TAZ), temocillin (TEM), ticarcillin (TIC), and ticarcillin/clavulanic acid (TCC) +\item \code{\link[=phenicols]{phenicols()}} can select: \cr chloramphenicol (CHL), florfenicol (FLR), and thiamphenicol (THI) \item \code{\link[=polymyxins]{polymyxins()}} can select: \cr colistin (COL), polymyxin B (PLB), and polymyxin B/polysorbate 80 (POP) \item \code{\link[=quinolones]{quinolones()}} can select: \cr besifloxacin (BES), cinoxacin (CIN), ciprofloxacin (CIP), ciprofloxacin/metronidazole (CIM), ciprofloxacin/ornidazole (CIO), ciprofloxacin/tinidazole (CIT), clinafloxacin (CLX), danofloxacin (DAN), delafloxacin (DFX), difloxacin (DIF), enoxacin (ENX), enrofloxacin (ENR), finafloxacin (FIN), fleroxacin (FLE), flumequine (FLM), garenoxacin (GRN), gatifloxacin (GAT), gemifloxacin (GEM), grepafloxacin (GRX), lascufloxacin (LSC), levofloxacin (LVX), levonadifloxacin (LND), lomefloxacin (LOM), marbofloxacin (MAR), metioxate (MXT), miloxacin (MIL), moxifloxacin (MFX), nadifloxacin (NAD), nalidixic acid (NAL), nemonoxacin (NEM), nifuroquine (NIF), nitroxoline (NTR), norfloxacin (NOR), ofloxacin (OFX), orbifloxacin (ORB), oxolinic acid (OXO), pazufloxacin (PAZ), pefloxacin (PEF), pipemidic acid (PPA), piromidic acid (PIR), pradofloxacin (PRA), premafloxacin (PRX), prulifloxacin (PRU), rosoxacin (ROS), rufloxacin (RFL), sarafloxacin (SAR), sitafloxacin (SIT), sparfloxacin (SPX), temafloxacin (TMX), tilbroquinol (TBQ), tioxacin (TXC), tosufloxacin (TFX), and trovafloxacin (TVA) \item \code{\link[=rifamycins]{rifamycins()}} can select: \cr rifabutin (RIB), rifampicin (RIF), rifampicin/ethambutol/isoniazid (REI), rifampicin/isoniazid (RFI), rifampicin/pyrazinamide/ethambutol/isoniazid (RPEI), rifampicin/pyrazinamide/isoniazid (RPI), rifamycin (RFM), and rifapentine (RFP) diff --git a/man/antibiotics.Rd b/man/antibiotics.Rd index 11ec49cfb..c4c4195e6 100644 --- a/man/antibiotics.Rd +++ b/man/antibiotics.Rd @@ -4,9 +4,9 @@ \name{antibiotics} \alias{antibiotics} \alias{antivirals} -\title{Data Sets with 605 Antimicrobial Drugs} +\title{Data Sets with 606 Antimicrobial Drugs} \format{ -\subsection{For the \link{antibiotics} data set: a \link[tibble:tibble]{tibble} with 485 observations and 14 variables:}{ +\subsection{For the \link{antibiotics} data set: a \link[tibble:tibble]{tibble} with 486 observations and 14 variables:}{ \itemize{ \item \code{ab}\cr Antibiotic ID as used in this package (such as \code{AMC}), using the official EARS-Net (European Antimicrobial Resistance Surveillance Network) codes where available. \emph{\strong{This is a unique identifier.}} \item \code{cid}\cr Compound ID as found in PubChem. \emph{\strong{This is a unique identifier.}} diff --git a/man/custom_eucast_rules.Rd b/man/custom_eucast_rules.Rd index 3260f1b73..bc6a33cb6 100644 --- a/man/custom_eucast_rules.Rd +++ b/man/custom_eucast_rules.Rd @@ -86,7 +86,7 @@ x #> amoxicillin (AMX), ampicillin (AMP), azlocillin (AZL), mezlocillin (MEZ), piperacillin (PIP), piperacillin/tazobactam (TZP) }\if{html}{\out{}} -These 31 antibiotic groups are allowed in the rules (case-insensitive) and can be used in any combination: +These 32 antibiotic groups are allowed in the rules (case-insensitive) and can be used in any combination: \itemize{ \item aminoglycosides\cr(amikacin, amikacin/fosfomycin, apramycin, arbekacin, astromicin, bekanamycin, dibekacin, framycetin, gentamicin, gentamicin-high, habekacin, hygromycin, isepamicin, kanamycin, kanamycin-high, kanamycin/cephalexin, micronomicin, neomycin, netilmicin, pentisomicin, plazomicin, propikacin, ribostamycin, sisomicin, streptoduocin, streptomycin, streptomycin-high, tobramycin, and tobramycin-high) \item aminopenicillins\cr(amoxicillin and ampicillin) @@ -111,6 +111,7 @@ These 31 antibiotic groups are allowed in the rules (case-insensitive) and can b \item nitrofurans\cr(furazidin, furazolidone, nifurtoinol, nitrofurantoin, and nitrofurazone) \item oxazolidinones\cr(cadazolid, cycloserine, linezolid, tedizolid, and thiacetazone) \item penicillins\cr(amoxicillin, amoxicillin/clavulanic acid, amoxicillin/sulbactam, ampicillin, ampicillin/sulbactam, apalcillin, aspoxicillin, avibactam, azidocillin, azlocillin, aztreonam, aztreonam/avibactam, aztreonam/nacubactam, bacampicillin, benzathine benzylpenicillin, benzathine phenoxymethylpenicillin, benzylpenicillin, carbenicillin, carindacillin, cefepime/nacubactam, ciclacillin, clometocillin, cloxacillin, dicloxacillin, epicillin, flucloxacillin, hetacillin, lenampicillin, mecillinam, metampicillin, meticillin, mezlocillin, mezlocillin/sulbactam, nacubactam, nafcillin, oxacillin, penamecillin, penicillin/novobiocin, penicillin/sulbactam, pheneticillin, phenoxymethylpenicillin, piperacillin, piperacillin/sulbactam, piperacillin/tazobactam, piridicillin, pivampicillin, pivmecillinam, procaine benzylpenicillin, propicillin, sarmoxicillin, sulbactam, sulbenicillin, sultamicillin, talampicillin, tazobactam, temocillin, ticarcillin, and ticarcillin/clavulanic acid) +\item phenicols\cr(chloramphenicol, florfenicol, and thiamphenicol) \item polymyxins\cr(colistin, polymyxin B, and polymyxin B/polysorbate 80) \item quinolones\cr(besifloxacin, cinoxacin, ciprofloxacin, ciprofloxacin/metronidazole, ciprofloxacin/ornidazole, ciprofloxacin/tinidazole, clinafloxacin, danofloxacin, delafloxacin, difloxacin, enoxacin, enrofloxacin, finafloxacin, fleroxacin, flumequine, garenoxacin, gatifloxacin, gemifloxacin, grepafloxacin, lascufloxacin, levofloxacin, levonadifloxacin, lomefloxacin, marbofloxacin, metioxate, miloxacin, moxifloxacin, nadifloxacin, nalidixic acid, nemonoxacin, nifuroquine, nitroxoline, norfloxacin, ofloxacin, orbifloxacin, oxolinic acid, pazufloxacin, pefloxacin, pipemidic acid, piromidic acid, pradofloxacin, premafloxacin, prulifloxacin, rosoxacin, rufloxacin, sarafloxacin, sitafloxacin, sparfloxacin, temafloxacin, tilbroquinol, tioxacin, tosufloxacin, and trovafloxacin) \item rifamycins\cr(rifabutin, rifampicin, rifampicin/ethambutol/isoniazid, rifampicin/isoniazid, rifampicin/pyrazinamide/ethambutol/isoniazid, rifampicin/pyrazinamide/isoniazid, rifamycin, and rifapentine)