| mdro | R Documentation |
Determine which isolates are multidrug-resistant organisms (MDRO) according to international, national, or custom guidelines.
mdro(
x = NULL,
guideline = "CMI 2012",
col_mo = NULL,
esbl = NA,
carbapenemase = NA,
mecA = NA,
mecC = NA,
vanA = NA,
vanB = NA,
info = interactive(),
pct_required_classes = 0.5,
combine_SI = TRUE,
verbose = FALSE,
only_sir_columns = any(is.sir(x)),
infer_from_combinations = TRUE,
...
)
brmo(x = NULL, only_sir_columns = any(is.sir(x)), ...)
mrgn(x = NULL, only_sir_columns = any(is.sir(x)), verbose = FALSE, ...)
mdr_tb(x = NULL, only_sir_columns = any(is.sir(x)), verbose = FALSE, ...)
mdr_cmi2012(x = NULL, only_sir_columns = any(is.sir(x)), verbose = FALSE, ...)
eucast_exceptional_phenotypes(
x = NULL,
only_sir_columns = any(is.sir(x)),
verbose = FALSE,
...
)
x |
A data.frame with antimicrobials columns, like |
guideline |
A specific guideline to follow, see sections Supported International / National Guidelines and Using Custom Guidelines below. When left empty, the publication by Magiorakos et al. (see below) will be followed. |
col_mo |
Column name of the names or codes of the microorganisms (see |
esbl |
logical values, or a column name containing logical values, indicating the presence of an ESBL gene (or production of its proteins). |
carbapenemase |
logical values, or a column name containing logical values, indicating the presence of a carbapenemase gene (or production of its proteins). |
mecA |
logical values, or a column name containing logical values, indicating the presence of a mecA gene (or production of its proteins). |
mecC |
logical values, or a column name containing logical values, indicating the presence of a mecC gene (or production of its proteins). |
vanA |
logical values, or a column name containing logical values, indicating the presence of a vanA gene (or production of its proteins). |
vanB |
logical values, or a column name containing logical values, indicating the presence of a vanB gene (or production of its proteins). |
info |
A logical to indicate whether progress should be printed to the console - the default is only print while in interactive sessions. |
pct_required_classes |
Minimal required percentage of antimicrobial classes that must be available per isolate, rounded down. For example, with the default guideline, 17 antimicrobial classes must be available for S. aureus. Setting this |
combine_SI |
A logical to indicate whether all values of S and I must be merged into one, so resistance is only considered when isolates are R, not I. As this is the default behaviour of the |
verbose |
A logical to turn Verbose mode on and off (default is off). In Verbose mode, the function returns a data set with the MDRO results in logbook form with extensive info about which isolates would be MDRO-positive, or why they are not. |
only_sir_columns |
A logical to indicate whether only antimicrobial columns must be included that were transformed to class sir on beforehand. Defaults to |
infer_from_combinations |
A logical to indicate whether resistance for a missing base beta-lactam drug should be inferred from an available drug+inhibitor combination (e.g., piperacillin from piperacillin/tazobactam). The clinical basis is that resistance in a combination always implies resistance in the base drug, since the enzyme inhibitor provides no benefit when the organism is truly resistant. Only resistance is inferred; susceptibility in a combination does not imply susceptibility in the base drug (the inhibitor may be responsible). Defaults to |
... |
Column names of antimicrobials. To automatically detect antimicrobial column names, do not provide any named arguments; |
These functions are context-aware. This means that the x argument can be left blank if used inside a data.frame call, see Examples.
For the pct_required_classes argument, values above 1 will be divided by 100. This is to support both fractions (0.75 or 3/4) and percentages (75).
Note: Every test that involves the Enterobacteriaceae family, will internally be performed using its newly named order Enterobacterales, since the Enterobacteriaceae family has been taxonomically reclassified by Adeolu et al. in 2016. Before that, Enterobacteriaceae was the only family under the Enterobacteriales (with an i) order. All species under the old Enterobacteriaceae family are still under the new Enterobacterales (without an i) order, but divided into multiple families. The way tests are performed now by this mdro() function makes sure that results from before 2016 and after 2016 are identical.
Please suggest to implement guidelines by letting us know.
Currently supported guidelines are (case-insensitive):
guideline = "CMI 2012" (default)
Magiorakos AP, Srinivasan A et al. "Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance." Clinical Microbiology and Infection (2012) (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1469-0691.2011.03570.x")})
guideline = "EUCAST 3.3" (or simply guideline = "EUCAST")
The European international guideline - EUCAST Expert Rules Version 3.3 "Intrinsic Resistance and Unusual Phenotypes" (link)
Also:
guideline = "EUCAST 3.2"
The former European international guideline - EUCAST Expert Rules Version 3.2 "Intrinsic Resistance and Unusual Phenotypes" (link)
guideline = "EUCAST 3.1"
The former European international guideline - EUCAST Expert Rules Version 3.1 "Intrinsic Resistance and Exceptional Phenotypes Tables" (link)
guideline = "TB"
The international guideline for multi-drug resistant tuberculosis - World Health Organization "Companion handbook to the WHO guidelines for the programmatic management of drug-resistant tuberculosis" (link)
guideline = "MRGN"
The German national guideline - Mueller et al. (2015) Antimicrobial Resistance and Infection Control 4:7; \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s13756-015-0047-6")}
guideline = "BRMO 2024" (or simply guideline = "BRMO")
The Dutch national guideline - Samenwerkingverband Richtlijnen Infectiepreventie (SRI) (2024) "Bijzonder Resistente Micro-Organismen (BRMO)" (link)
Also:
guideline = "BRMO 2017"
The former Dutch national guideline - Werkgroep Infectiepreventie (WIP), RIVM, last revision as of 2017: "Bijzonder Resistente Micro-Organismen (BRMO)"
Using a custom MDRO guideline is of importance if you have custom rules to determine MDROs in your hospital, e.g., rules that are dependent on ward, state of contact isolation or other variables in your data.
Custom guidelines can be set with the custom_mdro_guideline() function.
If verbose is set to TRUE:
A data.frame containing columns row_number, microorganism, MDRO, reason, all_nonsusceptible_columns, guideline
CMI 2012 paper - function mdr_cmi2012() or mdro():
Ordered factor with levels Negative < Multi-drug-resistant (MDR) < Extensively drug-resistant (XDR) < Pandrug-resistant (PDR)
TB guideline - function mdr_tb() or mdro(..., guideline = "TB"):
Ordered factor with levels Negative < Mono-resistant < Poly-resistant < Multi-drug-resistant < Extensively drug-resistant
German guideline - function mrgn() or mdro(..., guideline = "MRGN"):
Ordered factor with levels Negative < 3MRGN < 4MRGN
Everything else, except for custom guidelines:
Ordered factor with levels Negative < Positive, unconfirmed < Positive. The value "Positive, unconfirmed" means that, according to the guideline, it is not entirely sure if the isolate is multi-drug resistant and this should be confirmed with additional (e.g. genotypic) tests
In 2019, the European Committee on Antimicrobial Susceptibility Testing (EUCAST) has decided to change the definitions of susceptibility testing categories S, I, and R (https://www.eucast.org/bacteria/clinical-breakpoints-and-interpretation/definition-of-s-i-and-r/).
In aggregated analyses, such as proportions, counts, antibiograms, and plots, the 'I' category must be considered either susceptible or resistant. In epidemiological AMR data analysis, this follows the guideline: EUCAST considers 'I' susceptible, while CLSI considers 'I' resistant. The dose-dependent susceptibility of CLSI ('SDD') is always considered susceptible, as it equals what EUCAST defines as 'I'. All functions with a guideline argument for this purpose use these categories:
guideline | Susceptible | Resistant |
"EUCAST" | S, SDD, I, WT | R, NWT, NS |
"CLSI" | S, SDD, WT | I, R, NWT, NS |
The values 'WT' (wild type) and 'NWT' (non-wild type) result from epidemiological cut-off values (ECOFFs) instead of clinical breakpoints. Since they are no clinical categories, 'WT' is always considered susceptible and 'NWT' always resistant, regardless of the guideline. The value 'NS' (non-susceptible) is always considered resistant, and 'NI' (non-interpretable) is always considered a missing result.
The guideline argument can be:
Left unset, to use the package option AMR_guideline, or "EUCAST" if this option is not set. In the latter case, a message is shown once per session (but not in R Markdown or Quarto documents); set the option to silence it.
"EUCAST", or any EUCAST version such as "EUCAST 2025", to consider 'I' susceptible, e.g., to return "SI" vs. "R" in proportion_df().
"CLSI", or any CLSI version such as "CLSI 2025", to consider 'I' resistant, e.g., to return "S" vs. "IR" in proportion_df().
NULL or FALSE, to keep S, I, and R separate. This is only possible in functions that return results per category: count_df(), proportion_df(), sir_df(), ggplot_sir(), geom_sir(), labels_sir_count(), and bug_drug_combinations(). Functions that return a single proportion or count, such as susceptibility(), count_resistant(), antibiogram(), wisca(), and format() on the result of bug_drug_combinations(), require 'I' to be considered either susceptible or resistant, and return an error.
Use susceptibility() and resistance() (or count_susceptible() and count_resistant()) to follow the guideline, or e.g. proportion_SI() and proportion_R() to be explicit regardless of the guideline.
The combine_SI argument of the functions that return results per category, antibiogram(), and wisca() is deprecated in favour of guideline. If set, it is followed literally and takes precedence over guideline.
custom_mdro_guideline()
out <- mdro(example_isolates)
str(out)
table(out)
out <- mdro(example_isolates, guideline = "EUCAST 3.3")
table(out)
if (require("dplyr")) {
# no need to define `x` when used inside dplyr verbs:
example_isolates %>%
mutate(MDRO = mdro()) %>%
count(MDRO)
}
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