bgigvp | R Documentation |
Blood glucose index is a measure of glycemic risk based on the same normalizing transformation as the adrrgvp measure but is specifically designed to be sensitive to hypoglycemia (lbgi) and hyperglycemia (hbgi), respectively, and to have zero correlation with their opposite ranges on the blood glucose scale. The lbgi and hbgi are scored based on risk categories: Low risk, [0,2.5); moderate risk, [2.5,5); and high risk, 5 and above.
bgigvp(x, t = 24)
x |
Data-set with data frame format containing three columns: date: date of the observation with format yyyy/mm/dd. time: time of the observation with 24 hour format hh:mm:ss. glucose: glucose value of the observation in [mg/dl]. |
t |
Numeric value with interval for calculating the measurement. Permitted values are 4, 6, 8, 12 and 24 hours. Default value of 24 hours. |
A data frame containing the lbgi, hbgi and bgi values.
Sergio Contador.
Boris P. Kovatchev, Erik Otto, Daniel Cox, Linda Gonder-Frederick, and William Clarke. Evaluation of a new measure of blood glucose variability in diabetes. Diabetes Care, 29(11):2433–2438, 2006.
adrrgvp(x, t = 24)
data("datagvp1") bgigvp(datagvp1)
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