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(v2.1.1.9267) update ATCs
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19
index.md
19
index.md
@ -155,9 +155,10 @@ example_isolates %>%
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#> ℹ Using column 'mo' as input for mo_fullname()
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#> ℹ Using column 'mo' as input for mo_is_gram_negative()
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#> ℹ Using column 'mo' as input for mo_is_intrinsic_resistant()
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#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant Phenotypes' v1.2 (2023). This note will be shown once per
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#> session.
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ Determining intrinsic resistance based on 'EUCAST Expected Resistant
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#> Phenotypes' v1.2 (2023). This note will be shown once per session.
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'
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#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)
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#> # A tibble: 35 × 7
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#> bacteria GEN TOB AMK KAN IPM MEM
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@ -195,9 +196,9 @@ output format automatically (such as markdown, LaTeX, HTML, etc.).
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``` r
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antibiogram(example_isolates,
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antimicrobials = c(aminoglycosides(), carbapenems()))
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'
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#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For carbapenems() using columns 'IPM' (imipenem) and 'MEM' (meropenem)
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#> ℹ 502 combinations had less than minimum = 30 results and were ignored
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```
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| Pathogen | Amikacin | Gentamicin | Imipenem | Kanamycin | Meropenem | Tobramycin |
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@ -220,7 +221,6 @@ yield higher empiric coverage:
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antibiogram(example_isolates,
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antimicrobials = c("TZP", "TZP+TOB", "TZP+GEN"),
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mo_transform = "gramstain")
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#> ℹ 3 combinations had less than minimum = 30 results and were ignored
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```
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| Pathogen | Piperacillin/tazobactam | Piperacillin/tazobactam + Gentamicin | Piperacillin/tazobactam + Tobramycin |
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@ -238,7 +238,6 @@ antibiogram(example_isolates,
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mo_transform = "gramstain",
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ab_transform = "name",
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language = "uk") # Ukrainian
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#> ℹ 3 combinations had less than minimum = 30 results and were ignored
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```
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| Збудник | Гентаміцин | Тобраміцин | Ципрофлоксацин |
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@ -322,13 +321,15 @@ out <- example_isolates %>%
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# calculate AMR using resistance(), over all aminoglycosides and polymyxins:
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summarise(across(c(aminoglycosides(), polymyxins()),
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resistance))
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB' (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For aminoglycosides() using columns 'GEN' (gentamicin), 'TOB'
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#> (tobramycin), 'AMK' (amikacin), and 'KAN' (kanamycin)
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#> ℹ For polymyxins() using column 'COL' (colistin)
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#> Warning: There was 1 warning in `summarise()`.
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#> ℹ In argument: `across(c(aminoglycosides(), polymyxins()), resistance)`.
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#> ℹ In group 3: `ward = "Outpatient"`.
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#> Caused by warning:
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#> ! Introducing NA: only 23 results available for KAN in group: ward = "Outpatient" (minimum = 30).
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#> ! Introducing NA: only 23 results available for KAN in group: ward =
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#> "Outpatient" (minimum = 30).
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out
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#> # A tibble: 3 × 6
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#> ward GEN TOB AMK KAN COL
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