congagvp: continuous overall net glycemic action

In gluvarpro: Glucose Variability Measures from Continuous Glucose Monitoring Data

continuous overall net glycemic action

Description

Continuous overall net glycemic action is a measure of glycemic variability specifically developed for use on continuous glucose monitoring data. It is calculated as the standard deviation of the sum of the differences between a current observation and an observation n hours previously. Because conga does not require arbitrary glucose cutoffs or arbitrary defined rises and falls, it seems to be a more objective manner to define glucose variability than mvgvp or magegvp.

Usage

congagvp(x, t = 24, ts = 5, h = 1)

Arguments

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.
ts	Numeric value with sampling time of glucose values. Permitted values are 5 and 15 minutes. Default value of 5 minutes.
h	Numeric value with type of measure calculated. Permitted values are from 1 to 24 hours, with differences of 1 hour. Default value of 1 hour.

Value

A data frame containing the conga values.

Author(s)

Sergio Contador.

References

C.M. McDonnell, S.M. Donath, S.I. Vidmar, G.A. Werther, and F.J. Cameron. A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technology and Therapeutics, 7(2):253–263, 2005.

Examples

data("datagvp1")
congagvp(datagvp1)

gluvarpro documentation built on Oct. 1, 2022, 5:05 p.m.