Carbohydrate Estimation Supported By The Gocarb System In Individuals With Type 1 Diabetes: A Randomized Prospective Pilot Study

Accurate carbohydrate (CHO) counting to achieve satisfactory glucose control in type 1 diabetes (T1D) remains challenging in practice, and thus novel approaches are still needed (1,2). GoCARB is a computer vision-based application installed in a smartphone device that provides users with CHO content estimations from photos taken of plated meals (3). We present the results of a pilot prospective randomized controlled crossover study (NCT02546063) evaluating the effects of GoCARB on postprandial and overall glucose control in individuals with T1D using sensor-augmented insulin pump (SAP) therapy.One week of GoCARB use was compared with conventional methods to estimate meal CHO content in 20 adults with T1D using SAP therapy (mean age 35 ± 14 years, BMI 25.5 ± 3.8 kg/m2, HbA1c 7.5 ± 0.6% [58.7 ± 5.9 mmol/mol], duration of diabetes 17 ± 10 years, …