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The function grade_hypo produces %GRADE hypoglycemia values in a tibble object.

Usage

grade_hypo(data, lower = 80)

Arguments

data

DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values.

lower

Lower bound used for hypoglycemia cutoff, in mg/dL. Default is 80

Value

If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding %GRADE hypoglycemia value is returned. If a vector of glucose values is passed, then a tibble object with just the %GRADE hypoglycemia value is returned. as.numeric() can be wrapped around the latter to output just a numeric value.

Details

A tibble object with 1 row for each subject, a column for subject id and a column for %GRADE hypoglycemia values is returned. NA glucose values are omitted from the calculation of the %GRADE hypoglycemia values.

%GRADE hypoglycemia is determined by calculating the percentage of GRADE score (see grade function) attributed to hypoglycemic glucose values.

References

Hill et al. (2007): A method for assessing quality of control from glucose profiles Diabetic Medicine 24 .753-758, doi:10.1111/j.1464-5491.2007.02119.x .

Examples


data(example_data_1_subject)
grade_hypo(example_data_1_subject)
#> # A tibble: 1 × 2
#>   id        GRADE_hypo
#>   <fct>          <dbl>
#> 1 Subject 1      0.221
grade_hypo(example_data_1_subject, lower = 70)
#> # A tibble: 1 × 2
#>   id        GRADE_hypo
#>   <fct>          <dbl>
#> 1 Subject 1      0.118

data(example_data_5_subject)
grade_hypo(example_data_5_subject)
#> # A tibble: 5 × 2
#>   id        GRADE_hypo
#>   <fct>          <dbl>
#> 1 Subject 1      0.221
#> 2 Subject 2      0    
#> 3 Subject 3      0.287
#> 4 Subject 4      0.702
#> 5 Subject 5      0.109
grade_hypo(example_data_5_subject, lower = 65)
#> # A tibble: 5 × 2
#>   id        GRADE_hypo
#>   <fct>          <dbl>
#> 1 Subject 1      0    
#> 2 Subject 2      0    
#> 3 Subject 3      0.191
#> 4 Subject 4      0.297
#> 5 Subject 5      0