An Open-Label, Randomized, Two-Way, Parallel Study to Compare the Effectiveness of Multiple Daily Injection Treatment With an Insulin Dose Optimization Algorithm in Free-Living Outpatient Conditions in Patients With Type 1 Diabetes
An Open-Label, Randomized, Two-Way, Parallel Study to Compare the Effectiveness of Multiple Daily Injection Treatment With an Insulin Dose Optimization Algorithm in Free-Living Outpatient Conditions in Patients With Type 1 Diabetes
The Artificial Pancreas lab at McGill University has developed an optimization algorithm for adults with Type 1 Diabetes (T1D) on Multiple Daily Injection (MDI) therapy with the adjunctive use of glucose sensor technology, collectively known as sensor-augmented MDI therapy. The algorithm is designed to estimate optimal basal-bolus parameters based on the patient's glucose, insulin and meal data over several days. The investigators hope that this algorithm will be better able to improve long-term glycemic targets by reducing HbA1c levels compared to sensor-augmented MDI therapy alone.
The changes in eligibility criteria indicated below are from a previously approved amendment but were inadvertently omitted in the previous PRS update made in November of 2020. Therefore, this note serves to clarify the order of updates.
Inclusion: HbA1c ≥ 7.5% in the last 2 months (modification)
Exclusion:
In the subsequent amendment, we modified the timeframe for the HbA1c inclusion criterion to obtain a more accurate representation of their current glucose control at the time of enrollment.
Inclusion Criteria:
Exclusion Criteria: