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The function gmi produces GMI values in a tibble object.

Usage

gmi(data)

Arguments

data

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

Value

If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding GMI is returned. If a vector of glucose values is passed, then a tibble object with just the GMI 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 GMI values is returned. NA glucose values are omitted from the calculation of the GMI.

GMI score is calculated by \(3.31 + (.02392*mean(G))\) where G is the vector of Glucose Measurements (mg/dL).

References

Bergenstal (2018) Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring Hormone and Metabolic Research 41 .2275-2280, doi:10.2337/dc18-1581 .

Examples


data(example_data_1_subject)
gmi(example_data_1_subject)
#> # A tibble: 1 × 2
#>   id          GMI
#>   <fct>     <dbl>
#> 1 Subject 1  6.27

data(example_data_5_subject)
gmi(example_data_5_subject)
#> # A tibble: 5 × 2
#>   id          GMI
#>   <fct>     <dbl>
#> 1 Subject 1  6.27
#> 2 Subject 2  8.54
#> 3 Subject 3  6.99
#> 4 Subject 4  6.41
#> 5 Subject 5  7.49