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parent d55d073ae9
commit d6c59896e9
105 changed files with 320 additions and 313 deletions

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@@ -7,7 +7,7 @@
even WISCA
- Provides the **full microbiological taxonomy** of ~79 000 distinct
species and extensive info of ~620 antimicrobial drugs
- Applies **CLSI 2011-2025** and **EUCAST 2011-2025** clinical and
- Applies **CLSI 2011-2026** and **EUCAST 2011-2026** clinical and
veterinary breakpoints, and ECOFFs, for MIC and disk zone
interpretation
- Corrects for duplicate isolates, **calculates** and **predicts** AMR
@@ -55,7 +55,7 @@ June 2024) and all [**~620 antimicrobial and antiviral
drugs**](https://amr-for-r.org/reference/antimicrobials.md) 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 2011-2025 and EUCAST 2011-2025 are
breakpoint guidelines from CLSI 2011-2026 and EUCAST 2011-2026 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
@@ -113,14 +113,14 @@ example_isolates %>%
select(bacteria,
aminoglycosides(),
carbapenems())
#> Using column 'mo' as input for `mo_fullname()`
#> Using column 'mo' as input for `mo_is_gram_negative()`
#> Using column 'mo' as input for `mo_is_intrinsic_resistant()`
#> Using column mo as input for `mo_fullname()`
#> Using column mo as input for `mo_is_gram_negative()`
#> Using column mo as input for `mo_is_intrinsic_resistant()`
#> Determining intrinsic resistance based on 'EUCAST Expected Resistant
#> Phenotypes' v1.2 (2023). This note will be shown once per session.
#> For `aminoglycosides()` using columns 'GEN' (gentamicin), 'TOB'
#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
#> For `carbapenems()` using columns 'IPM' (imipenem) and 'MEM' (meropenem)
#> For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK
#> (amikacin), and KAN (kanamycin)
#> For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
#> # A tibble: 35 × 7
#> bacteria GEN TOB AMK KAN IPM MEM
#> <chr> <sir> <sir> <sir> <sir> <sir> <sir>
@@ -163,9 +163,9 @@ output format automatically (such as markdown, LaTeX, HTML, etc.).
``` r
antibiogram(example_isolates,
antimicrobials = c(aminoglycosides(), carbapenems()))
#> For `aminoglycosides()` using columns 'GEN' (gentamicin), 'TOB'
#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
#> For `carbapenems()` using columns 'IPM' (imipenem) and 'MEM' (meropenem)
#> For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK
#> (amikacin), and KAN (kanamycin)
#> For `carbapenems()` using columns IPM (imipenem) and MEM (meropenem)
```
| Pathogen | Amikacin | Gentamicin | Imipenem | Kanamycin | Meropenem | Tobramycin |
@@ -292,15 +292,15 @@ out <- example_isolates %>%
# calculate AMR using resistance(), over all aminoglycosides and polymyxins:
summarise(across(c(aminoglycosides(), polymyxins()),
resistance))
#> For `aminoglycosides()` using columns 'GEN' (gentamicin), 'TOB'
#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
#> For `polymyxins()` using column 'COL' (colistin)
#> For `aminoglycosides()` using columns GEN (gentamicin), TOB (tobramycin), AMK
#> (amikacin), and KAN (kanamycin)
#> For `polymyxins()` using column COL (colistin)
#> Warning: There was 1 warning in `summarise()`.
#> In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.
#> In group 3: `ward = "Outpatient"`.
#> Caused by warning:
#> ! Introducing NA: only 23 results available for KAN in group: ward =
#> "Outpatient" (`minimum` = 30).
#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient"
#> (whilst `minimum = 30`).
out
#> # A tibble: 3 × 6
#> ward GEN TOB AMK KAN COL