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@@ -473,9 +473,9 @@ x <- custom_mdro_guideline(
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)
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x
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#> A set of custom MDRO rules:
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#> 1. If CIP is R and age is higher than 60 then: Elderly Type A
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#> 2. If ERY is R and age is higher than 60 then: Elderly Type B
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#> 3. Otherwise: Negative
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#> 1. If CIP is R and age is higher than 60 then: Elderly Type A
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#> 2. If ERY is R and age is higher than 60 then: Elderly Type B
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#> 3. Otherwise: Negative
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#>
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#> Unmatched rows will return NA.
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#> Results will be of class 'factor', with ordered levels: Negative < Elderly Type A < Elderly Type B
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@@ -518,9 +518,9 @@ my_guideline <- custom_mdro_guideline(
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)
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my_guideline
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#> A set of custom MDRO rules:
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#> 1. If AMX is R then: Custom MDRO 1
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#> 2. If all of cephalosporins_2nd() is R then: Custom MDRO 2
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#> 3. Otherwise: Negative
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#> 1. If AMX is R then: Custom MDRO 1
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#> 2. If all of cephalosporins_2nd() is R then: Custom MDRO 2
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#> 3. Otherwise: Negative
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#>
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#> Unmatched rows will return NA.
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#> Results will be of class 'factor', with ordered levels: Negative < Custom MDRO 1 < Custom MDRO 2
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@@ -528,8 +528,8 @@ my_guideline
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out <- mdro(example_isolates, guideline = my_guideline)
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#> ℹ For `cephalosporins_2nd()` using columns 'CXM' (cefuroxime) and 'FOX'
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#> (cefoxitin)
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#> ℹ Assuming a filter on all 2 cephalosporins_2nd. Wrap around `all()` or
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#> `any()` to prevent this note.
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#> ℹ Assuming a filter on all 2 cephalosporins_2nd. Wrap around `all()` or `any()`
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#> to prevent this note.
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table(out)
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#> out
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#> Negative Custom MDRO 1 Custom MDRO 2
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