ECE2022 Poster Presentations Diabetes, Obesity, Metabolism and Nutrition (202 abstracts)
1Campus Bio-Medico of Rome, Metabolic Diseases, Rome, Italy; 2Campus Bio-Medico of Rome, Metabolic Diseases, Rome, Italy
Background: carbohydrate counting is often performed inaccurately by patients with type 1 diabetes (T1D). We hypothesized that mobile App Dietrometro, that estimates CHO content of food figures, would ameliorate glucose control.
Aim: To study the effect of Dietometro on glucose control.
Methods: 54 T1D subjects (aged 18-60 years, 26 males), on multiple daily injections (n=23) or continuous subcutaneous insulin infusion (n=31), were randomly assigned to three groups: no counting (group 1; n=19), self-managed counting (group 2; n=19) and App-assisted counting (group 3; n=16). Outcomes were one- and three months follow-up TIR (time in range), TAR (time above the range) and TBR (time below the range), estimated by flash or continuous glucose monitoring, and HbA1c.
Results: At the baseline TIR were similar between groups, while HbA1c was lower in group 3 compared to group 1 (6.9±1.06 vs. 7.8±0.85%; P<0.05). At one-month follow-up, TIR was higher in group 2 and 3 compared to group 1 (63.58 ± 11.55 vs. 52.32 ± 13.22%; P=0.014, and 71.25 ± 9.75 vs. 52.32 ± 13. 22%, respectively; P<0.001). TAR at one-month follow-up was significantly lower in group 3 (31.25 ± 19.18 vs. 22.31 ± 10.89%; P<0.001), while no differences were observed in TBR. At three-months follow-up, groups 2 and 3 had a lower HbA1c than group 1 (7.16 ± 0.647 vs. 6.56 ± 1.91 vs. 7.96 ± 1.0%; P<0.05).
Conclusions: App-assisted CHO counting might improve glucose control. Larger sample size and longer follow-up are needed to define the long-term effect of this system.