Measures of Glycemic Variability In Type 1 Diabetes and the Effect of Real-Time Continuous Glucose Monitoring

Abstract

Objective: To report the impact of continuous glucose monitoring (CGM) on glycemic variability (GV) indices, factors predictive of change and to correlate variability with conventional markers of glycaemia. Methods: Data from the JDRF study of CGM in participants with type 1 diabetes were used. Participants were randomised to CGM or self-monitored blood glucose (SMBG). GV indices at baseline, at 26 weeks in both groups, and at 52 weeks in the control group were analysed. The associations of demographic and clinical factors with change in GV indices from baseline to 26 weeks were evaluated. Results: Baseline data were available for 448 subjects. GV indices were all outside normative ranges (P<0.001). Inter-correlation between GV indices was common and, apart from coefficient of variation (CV), low blood glucose index (LBGI) and percentage of glycemic risk assessment diabetes equation score attributable to hypoglycaemia (%GRADEhypoglycaemia), all indices correlate positively with HbA1c. There was strong correlation between time spent in hypoglycaemia, and CV, LBGI and %GRADEhypoglycaemia, but not with HbA1c. A significant reduction in all GV indices, except lability index and mean absolute glucose change per unit time (MAG), was demonstrated in the intervention group at 26 weeks compared with the control group. Baseline factors predicting a change in GV with CGM include baseline HbA1c, baseline GV, frequency of daily SMBG and insulin pump use. Conclusions: CGM reduces most GV indices compared with SMBG in people with type 1 diabetes. The strong correlation between time spent in hypoglycaemia and CV, LBGI and %GRADEhypoglycaemia highlights the value of these metrics in assessing hypoglycaemia as an adjunct to HbA1c in overall assessment of glycaemia.