| hbgi {iglu} | R Documentation |
Calculate High Blood Glucose Index (HBGI)
Description
The function hbgi produces HBGI values in a tibble object.
Usage
hbgi(data)
Arguments
data |
DataFrame object with column names "id", "time", and "gl", or numeric vector of glucose values. |
Details
A tibble object with 1 row for each subject, a column for subject id and a column for HBGI values is returned. NA glucose values are omitted from the calculation of the HBGI.
HBGI is calculated by 1/n * \sum (10 * fbg_i ^2),
where fbg_i = max(0, 1.509 * (log(BG_i)^{1.084} - 5.381),
BG_i is the ith Blood Glucose measurement for a subject, and
n is the total number of measurements for that subject.
Value
If a data.frame object is passed, then a tibble object with two columns: subject id and corresponding HBGI value is returned. If a vector of glucose values is passed, then a tibble object with just the HBGI value is returned. as.numeric() can be wrapped around the latter to output just a numeric value.
References
Kovatchev et al. (2006) Evaluation of a New Measure of Blood Glucose Variability in, Diabetes Diabetes care 29 .2433-2438, doi:10.2337/dc06-1085.
Examples
data(example_data_1_subject)
hbgi(example_data_1_subject)
data(example_data_5_subject)
hbgi(example_data_5_subject)