agp_metrics {iglu}

Calculate metrics for the Ambulatory Glucose Profile (AGP)

Description

The function 'agp_metrics' runs the following functions and combines them into a tibble object: 'active_percent', 'mean_glu', 'gmi', 'cv_glu', 'below_percent', 'in_range_percent', 'above_percent'.

Usage

agp_metrics(data, shinyformat = FALSE)

Arguments

data

DataFrame object with column names "id", "time", and "gl".

shinyformat

Default: FALSE. Boolean indicating whether the output should be formatted for the single subject AGP page in shiny.

Details

The function uses recommended cutoffs of 54, 70, 180, and 250 mg/dL for calculation.

If 'shinyformat == FALSE' (default), returns a tibble object with 1 row for each subject, and 12 columns: a column for subject id ('id'), a column for start date ('start_date'), a column for end date ('end_date'), a column for number of days ('ndays'), a column for active percent ('active_percent'), a column for mean value ('mean'), a column for GMI value ('GMI'), a column for CV value ('CV'), a column for a column for a column for a column for a column for

If 'shinyformat == TRUE', a tibble with 2 columns: metric and value, is returned. This output is used when generating the single subject AGP shiny page.

Value

By default, a tibble object with 1 row for each subject, and 13 columns is returned: a column for subject id, a column for start date, a column for end date, a column for number of days, a column for active_percent, a column for Mean value, a column for gmi value, a column for cv value, a column for below_54 value, a column for below_70 value, a column for in_range_70_180 value, a column for above_180 value, a column for above_250 value,

References

Johnson et al. (2019) Utilizing the Ambulatory Glucose Profile to Standardize and Implement Continuous Glucose Monitoring in Clinical Practice, Diabetes Technology and Therapeutics 21:S2 S2-17-S2-25, doi:10.1089/dia.2019.0034.

Examples

data(example_data_1_subject)
agp_metrics(example_data_1_subject)