Analyzing Glucose and Glucose Variability
Compute Estimated A1c
Compute Glycemic Management Indicator
Compute High Blood Glucose Index
Compute Interday Coefficient of Variation
Compute Interday Standard Deviation
Compute Intraday Coefficient of Variation
Compute Intraday Standard Deviation
Compute J-index
Compute Low Blood Glucose Index
Compute Low Blood Glucose Index
Compute Mean of Glycemic Excursions
Compute Mean of Normal Glucose
Plot Glucose Data
Compute Percent of Time Outside Range
Read in Data Frame
Compute Glucose Summary Statistics
Compute Time Inside Range
Compute Time Outside Range
Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day. Glycemic variability, also known as glucose variability, is an established risk factor for hypoglycemia (Kovatchev) and has been shown to be a risk factor in diabetes complications. Over 20 metrics of glycemic variability have been identified. Here, we provide functions to calculate glucose summary metrics, glucose variability metrics (as defined in clinical publications), and visualizations to visualize trends in CGM data. Cho P, Bent B, Wittmann A, et al. (2020) <https://diabetes.diabetesjournals.org/content/69/Supplement_1/73-LB.abstract> American Diabetes Association (2020) <https://professional.diabetes.org/diapro/glucose_calc> Kovatchev B (2019) <doi:10.1177/1932296819826111> Kovdeatchev BP (2017) <doi:10.1038/nrendo.2017.3> Tamborlane W V., Beck RW, Bode BW, et al. (2008) <doi:10.1056/NEJMoa0805017> Umpierrez GE, P. Kovatchev B (2018) <doi:10.1016/j.amjms.2018.09.010>.