eucast_rules.RdApply susceptibility rules as defined by the European Committee on Antimicrobial Susceptibility Testing (EUCAST, http://eucast.org), see Source. This includes (1) expert rules, (2) intrinsic resistance and (3) inferred resistance as defined in their breakpoint tables.
To improve the interpretation of the antibiogram before EUCAST rules are applied, some non-EUCAST rules are applied at default, see Details.
eucast_rules(x, col_mo = NULL, info = TRUE, rules = c("breakpoints", "expert", "other", "all"), verbose = FALSE, ...)
| x | data with antibiotic columns, like e.g. |
|---|---|
| col_mo | column name of the IDs of the microorganisms (see |
| info | print progress |
| rules | a character vector that specifies which rules should be applied - one or more of |
| verbose | a logical to turn Verbose mode on and off (default is off). In Verbose mode, the function does not apply rules to the data, but instead returns a data set in logbook form with extensive info about which rows and columns would be effected and in which way. |
| ... | column name of an antibiotic, see section Antibiotics |
EUCAST Expert Rules. Version 2.0, 2012.
Leclercq et al. EUCAST expert rules in antimicrobial susceptibility testing. Clin Microbiol Infect. 2013;19(2):141-60.
https://doi.org/10.1111/j.1469-0691.2011.03703.x
EUCAST Expert Rules, Intrinsic Resistance and Exceptional Phenotypes Tables. Version 3.1, 2016.
http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Expert_Rules/Expert_rules_intrinsic_exceptional_V3.1.pdf
EUCAST Breakpoint tables for interpretation of MICs and zone diameters. Version 9.0, 2019.
http://www.eucast.org/fileadmin/src/media/PDFs/EUCAST_files/Breakpoint_tables/v_9.0_Breakpoint_Tables.xlsx
The input of x, possibly with edited values of antibiotics. Or, if verbose = TRUE, a data.frame with all original and new values of the affected bug-drug combinations.
Note: This function does not translate MIC values to RSI values. Use as.rsi for that.
Note: When ampicillin (AMP, J01CA01) is not available but amoxicillin (AMX, J01CA04) is, the latter will be used for all rules where there is a dependency on ampicillin. These drugs are interchangeable when it comes to expression of antimicrobial resistance.
Before further processing, some non-EUCAST rules are applied to improve the efficacy of the EUCAST rules. These non-EUCAST rules, that are applied to all isolates, are:
Inherit amoxicillin (AMX) from ampicillin (AMP), where amoxicillin (AMX) is unavailable;
Inherit ampicillin (AMP) from amoxicillin (AMX), where ampicillin (AMP) is unavailable;
Set amoxicillin (AMX) = R where amoxicillin/clavulanic acid (AMC) = R;
Set piperacillin (PIP) = R where piperacillin/tazobactam (TZP) = R;
Set trimethoprim (TMP) = R where trimethoprim/sulfamethoxazole (SXT) = R;
Set amoxicillin/clavulanic acid (AMC) = S where amoxicillin (AMX) = S;
Set piperacillin/tazobactam (TZP) = S where piperacillin (PIP) = S;
Set trimethoprim/sulfamethoxazole (SXT) = S where trimethoprim (TMP) = S.
To not use these rules, please use eucast_rules(..., rules = c("breakpoints", "expert")).
The file containing all EUCAST rules is located here: https://gitlab.com/msberends/AMR/blob/master/data-raw/eucast_rules.tsv.
To define antibiotics column names, leave as it is to determine it automatically with guess_ab_col or input a text (case-insensitive), or use NULL to skip a column (e.g. TIC = NULL to skip ticarcillin). Manually defined but non-existing columns will be skipped with a warning.
The following antibiotics are used for the functions eucast_rules and mdro. These are shown below in the format 'antimicrobial ID: name (ATC code)', sorted by name:
AMK: amikacin (J01GB06), AMX: amoxicillin (J01CA04), AMC: amoxicillin/clavulanic acid (J01CR02), AMP: ampicillin (J01CA01), SAM: ampicillin/sulbactam (J01CR01), AZM: azithromycin (J01FA10), AZL: azlocillin (J01CA09), ATM: aztreonam (J01DF01), CAP: capreomycin (J04AB30), RID: cefaloridine (J01DB02), CZO: cefazolin (J01DB04), FEP: cefepime (J01DE01), CTX: cefotaxime (J01DD01), CTT: cefotetan (J01DC05), FOX: cefoxitin (J01DC01), CPT: ceftaroline (J01DI02), CAZ: ceftazidime (J01DD02), CRO: ceftriaxone (J01DD04), CXM: cefuroxime (J01DC02), CED: cephradine (J01DB09), CHL: chloramphenicol (J01BA01), CIP: ciprofloxacin (J01MA02), CLR: clarithromycin (J01FA09), CLI: clindamycin (J01FF01), COL: colistin (J01XB01), DAP: daptomycin (J01XX09), DOR: doripenem (J01DH04), DOX: doxycycline (J01AA02), ETP: ertapenem (J01DH03), ERY: erythromycin (J01FA01), ETH: ethambutol (J04AK02), FLC: flucloxacillin (J01CF05), FOS: fosfomycin (J01XX01), FUS: fusidic acid (J01XC01), GAT: gatifloxacin (J01MA16), GEN: gentamicin (J01GB03), GEH: gentamicin-high (no ATC code), IPM: imipenem (J01DH51), INH: isoniazid (J04AC01), KAN: kanamycin (J01GB04), LVX: levofloxacin (J01MA12), LIN: lincomycin (J01FF02), LNZ: linezolid (J01XX08), MEM: meropenem (J01DH02), MTR: metronidazole (J01XD01), MEZ: mezlocillin (J01CA10), MNO: minocycline (J01AA08), MFX: moxifloxacin (J01MA14), NAL: nalidixic acid (J01MB02), NEO: neomycin (J01GB05), NET: netilmicin (J01GB07), NIT: nitrofurantoin (J01XE01), NOR: norfloxacin (J01MA06), NOV: novobiocin (QJ01XX95), OFX: ofloxacin (J01MA01), OXA: oxacillin (J01CF04), PEN: penicillin G (J01CE01), PIP: piperacillin (J01CA12), TZP: piperacillin/tazobactam (J01CR05), PLB: polymyxin B (J01XB02), PRI: pristinamycin (J01FG01), PZA: pyrazinamide (J04AK01), QDA: quinupristin/dalfopristin (J01FG02), RIB: rifabutin (J04AB04), RIF: rifampicin (J04AB02), RFP: rifapentine (J04AB05), RXT: roxithromycin (J01FA06), SIS: sisomicin (J01GB08), STH: streptomycin-high (no ATC code), TEC: teicoplanin (J01XA02), TLV: telavancin (J01XA03), TCY: tetracycline (J01AA07), TIC: ticarcillin (J01CA13), TCC: ticarcillin/clavulanic acid (J01CR03), TGC: tigecycline (J01AA12), TOB: tobramycin (J01GB01), TMP: trimethoprim (J01EA01), SXT: trimethoprim/sulfamethoxazole (J01EE01), VAN: vancomycin (J01XA01).
On our website https://msberends.gitlab.io/AMR you can find a tutorial about how to conduct AMR analysis, the complete documentation of all functions (which reads a lot easier than here in R) and an example analysis using WHONET data.
a <- data.frame(mo = c("Staphylococcus aureus", "Enterococcus faecalis", "Escherichia coli", "Klebsiella pneumoniae", "Pseudomonas aeruginosa"), VAN = "-", # Vancomycin AMX = "-", # Amoxicillin COL = "-", # Colistin CAZ = "-", # Ceftazidime CXM = "-", # Cefuroxime PEN = "S", # Penicillin G FOX = "S", # Cefoxitin stringsAsFactors = FALSE) a # mo VAN AMX COL CAZ CXM PEN FOX # 1 Staphylococcus aureus - - - - - S S # 2 Enterococcus faecalis - - - - - S S # 3 Escherichia coli - - - - - S S # 4 Klebsiella pneumoniae - - - - - S S # 5 Pseudomonas aeruginosa - - - - - S S # apply EUCAST rules: 18 results are forced as R or S b <- eucast_rules(a) b # mo VAN AMX COL CAZ CXM PEN FOX # 1 Staphylococcus aureus - S R R S S S # 2 Enterococcus faecalis - - R R R S R # 3 Escherichia coli R - - - - R S # 4 Klebsiella pneumoniae R R - - - R S # 5 Pseudomonas aeruginosa R R - - R R R # \donttest{ # do not apply EUCAST rules, but rather get a data.frame # with 18 rows, containing all details about the transformations: c <- eucast_rules(a, verbose = TRUE) # }