Lifestyle factors, including diet, play an important role in the achievement of glycemic targets in patients with diabetes, even with the use of automated insulin delivery (AID) systems. Advanced hybrid closed-loop systems (AHCL), by implementing innovative and powerful control algorithms, have been shown to improve the post-meal glycemic control in their users through the delivery of automatic correction boluses. However, data about the influence of the daily amount of carbohydrate intake on glycemic outcomes in youth with type 1 diabetes using AHCL are missing. Therefore, this study will evaluate the association between daily carbohydrate intakes and meal patterns on glycemic control of young people living with type 1 diabetes using an AHCL system (Medtronic MiniMed 780G; Medtronic, Northridge, California) under real-life conditions.
Study Type
OBSERVATIONAL
Enrollment
250
The MiniMed 780G system consists of a MiniMed 780G Insulin Pump connected to Guardian 4 Sensor or Guardian 3 Sensor, using an automated insulin delivery algorithm called SmartGuard.
Time in range (%)
Time spent with sensor glucose between 70 and 180 mg/dl (3.9 and 10 mmol/L)
Time frame: 6 months
Time above range level 1 (%)
Time spent with sensor glucose between 180 and 250 mg/dl (10.1 and 13.9 mmol/L)
Time frame: 6 months
Time above range level 2 (%)
Time spent with sensor glucose \> 250 mg/dl (13.9 mmol/L)
Time frame: 6 months
Time below range level 1 (%)
Time spent with sensor glucose between 54 and 70 mg/dl (3.0 and 3.8 mmol/L)
Time frame: 6 months
Time below range level 2 (%)
Time spent with sensor glucose \< 54 mg/dl (3.0 mmol/L)
Time frame: 6 months
Mean sensor glucose (mg/dl or mmol/L)
Time frame: 6 months
Coefficient of variation (%)
Time frame: 6 months
BMI Z-score
Time frame: Baseline, 3 months, 6 months
Weight Z-score
Time frame: Baseline, 3 months, 6 months
Height Z-score
Time frame: Baseline, 3 months, 6 months
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