The use of continuous glucose monitoring (CGM) systems provide information to define the correlation between average glucose (AG) and plasma glycosylated hemoglobin (A1c). Factors that can affect this association are unknown. The aim of the study was to determine whether metabolic control could influence the relationship between A1c and AG.
Caucasian individuals with type 1 diabetes using CGM (11Dexcom G4®, 21Dexcom G5®,4 DexcomG6®,6 Enlite2® and 1 Enlite3®) were enrolled in the study. The AG values measured by CGM from the previous 90,60,30 and 14 days were correlated with A1c. To analyze the possible effect of glycemic control upon A1c-AG relationship, we divided the subjects into two similar size subgroups according to glycemic control. Pearson test and linear regression analysis were performed.
43 patients were studied: 67% women with mean A1c 7.2±0.7%. Data at table 1 show different correlations according to glycemic control, with a stronger association in the subgroup of A1c>7.2%. We found different slopes in linear regression according to the degree of metabolic control (Figure 1). The subgroup with A1c≤ 7.2% showed the lowest correlation, and the subgroup with A1c>7.2% displayed a slope closest to 1, especially for 30 and 60 days.
Metabolic control can influence the correlation between A1c and AG. This correlation is weak, especially in subjects with good metabolic control. Other factors beyond glycemia levels may influence plasma A1c, especially in the presence of good metabolic control.