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Aims: To analyze the association between scan frequency and glycemic measures in continuous subcutaneous insulin infusion (CSII) treated type 1 diabetes (T1DM) adults., Methods: This retrospective study included 140 patients (> 18 years) with T1DM who used flash glucose monitoring (FGM). For each patient, we analyzed the Ambulatory Glucose Profile data over a period of 90 days. Data regarding glucose management indicator (GMI), time above, below and within range (TIR) and coefficient of variation (CV) were correlated with the number of daily scans. The effect of each additional test on glucose parameters was also evaluated., Results: Users performed a mean of 8.6 ± 4.4 scans per day. There was an inverse correlation between scanning frequency and GMI (r = - 0.431, p < 0.001), CV (r = - 0.440, p < 0.001), time above and below range (r = - 0.446, p < 0.001 and r = - 0.200, p = 0.018, respectively). The number of daily scans correlated positively with TIR (r = 0.554, p < 0.001). For each additional scan per day, the mean GMI decreased 0.09% and TIR increased 1.60%., Conclusions: In patients with T1DM and CSII, higher rates of scanning correlated with improved glycemic markers, including reduced GMI and CV and increased TIR. For each test performed, there was a significant effect on the improvement of all glucose parameters., (© 2022. Springer-Verlag Italia S.r.l., part of Springer Nature.)

Aim: The aim of this paper was to compare the predictive value of glycated hemoglobin (A1c) and glucose variability (GV) in the risk of hypoglycemia in patients with type 1 diabetes (T1D)., Methods: Analysis of continuous glucose monitoring performed in 130 T1D patients with a diabetes background of 17.1±8.6 years, in intensive insulin therapy (49.8±17.9 UI per day). Mean interstitial glucose (in mg/dL), GV (standard deviation of mean glucose, in mg/dL), time per day spent in hypoglycemia (interstitial glucose ≤70 mg/dL, in %), and episodes of asymptomatic or nocturnal hypoglycemia, (hypoglycemia between midnight and 8 a.m., in %), were assessed. Patients were divided into two groups: group I (N.=84) with A1C≤7.5% and group II (N.=46) with A1C>7.5%. A statistical analysis was performed using SPSS, version 21.0®., Results: Group I presented a significantly lower mean glucose (139.2±25.9 vs. 173.1±33.2 mg/dL, P<0.05) and GV (58.4±18.8 vs. 70.3±18.6 mg/dL, P<0.05) and more hypoglycemia time (7.65±7.04 vs. 5.35±5.64%, P<0.05). The number of patients with nocturnal hypoglycemia was not significantly different in both groups (8.7 vs. 5.8%, P>0.05). Hypoglycemia time was positively correlated with GV (r=0.23, P=0.01) and negatively with A1C and mean glucose (r=-0.23 and r=-0.36; P=0.01). In multivariate analysis, GV and mean glucose were associated with hypoglycemia time (β=0.22 and β=-0.15, P<0.01, respectively), independent of A1c, diabetes duration and insulin dose; nocturnal hypoglycemia was only associated with mean glucose (OR=0.9, P<0.05) and was associated with a 16-fold increased risk of asymptomatic hypoglycemia (OR: 16.9, P<0.01)., Conclusion: Patients with high HbA1c still remain at risk of hypoglycemia. Glucose variability independently predicts daily time spent in hypoglycemia. At night, hypoglycemia only correlates with mean glucose, suggesting that daily fluctuations are probably due to inadequate meals insulin coverage. The potential of GV for predicting hypoglycemia time supports the inclusion of measures of GV into a global diabetes strategy.