Abstract
The article by Patton et al.1 published in this issue of Diabetes Technology & Therapeutics reports an array of correlations between various metrics of glucose variability (GV), derived from 1 month of self-monitoring of blood glucose (SMBG) data, with the frequency of hypo- and hyperglycemic events in a subsequent month of SMBG records. The data were derived from the clinical patient records of 3,453 individuals, 436 of whom met the study inclusion criteria (e.g., ages between 0 and 18 years old and a minimum of 14 days of SMBG in each month with three or more SMBG values per day). The purpose of the study was to assess whether the Average Daily Risk Range (ADRR), introduced in 2006 as a risk-based metric of GV, is a valid predictor of hypo- and hyperglycemia in youths with type 1 diabetes. The other GV metrics used for this prediction included SD and coefficient of variation of blood glucose (BG), Low Blood Glucose Index (LBGI), High Blood Glucose Index (HBGI), the percentage of glucose values >70 and 180 mg/dL and >400 mg/dL, and the percentage of low glucose values <70 mg/dL and <40 mg/dL in Month 1. Patton et al.1 concluded that “In a large pediatric sample, the ADRR was not the strongest predictor of future glycemic excursion. The percentages of current hyper- and hypoglycemic episodes appear to be stronger predictors.”
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