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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Sensor-Augmented MDI + Mobile App (control) | Active Comparator | Participants will continue their usual multiple daily injections (MDI) therapy along with the use of Freestyle Libre glucose sensors (Abbott Diabetes Care) and a mobile application that facilitates insulin dose calculations while collecting insulin and meal data. |
|
| Sensor-Augmented MDI + Mobile App + Basal-Bolus Optimization Algorithm | Experimental | Participants will undergo multiple daily injections (MDI) therapy along with the use of Freestyle Libre glucose sensors (Abbott Diabetes Care) and a mobile application that facilitates insulin dose calculations while collecting insulin and meal data. Every week, participants' insulin doses will be updated by the optimization algorithm's recommendations. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Mobile App | Device | Participants will use the mobile app to log their daily basal dose and calculate their meal doses by entering their sensor glucose value (and amount of meal carbohydrates if applicable) using the built-in bolus calculator. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in HbA1c levels | Difference in HbA1c levels from the start to the end of the study | Pre-intervention and post-intervention, approximately 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| The number of patients that achieve an HbA1c at the end-of-study visit of: | a. less than or equal to 7.0%; b. less than or equal to 6.5% | Post-intervention, approximately 12 weeks |
| Percentage of time of sensor glucose levels spent: |
| Measure | Description | Time Frame |
|---|---|---|
| Mean scores of the survey items on modified versions of the Diabetes Treatment Satisfaction Questionnaire | Scoring for treatment satisfaction ranges from 0-6; higher score = higher satisfaction (patient-reported outcomes) | Pre-intervention, then monthly, approximately 12 weeks |
| Mean scores of the survey items on modified versions of the Mobile Health App Usability Questionnaire |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Michael Tsoukas, MD | RI-MUHC | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CIUSSS West-Central Montreal, Jewish General Hospital | Montreal | Quebec | Canada | |||
| McGill University Health Centre |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41022835 | Derived | Kobayati A, El Fathi A, Garfield N, Legault L, Jafar A, Yale JF, Tsoukas MA, Haidar A. A Bayesian decision support system for automated insulin doses in adults with type 1 diabetes on multiple daily injections: a randomized controlled trial. Nat Commun. 2025 Sep 29;16(1):8593. doi: 10.1038/s41467-025-63671-0. |
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Participant data - after de-identification.
Within one year of publication.
Access provided upon reasonable request.
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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This is an open-label, randomized, controlled, two-way parallel study to compare glucose control between sensor-augmented MDI therapy and our basal-bolus optimizing algorithm over 3 months. Adults with type 1 diabetes who are enrolled in the study will randomly undergo one of the two interventions for the entire study duration.
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| Mobile App + Basal-Bolus Optimization Algorithm | Device | Participants will use the mobile app to log their daily basal dose and calculate their meal doses by entering their sensor glucose value (and amount of meal carbohydrates if applicable) using the built-in bolus calculator. In addition, participants will receive weekly app notifications with personalized recommendations for insulin parameter adjustments made by the optimization algorithm. |
|
a. between 3.9 and 7.8 mmol/L; b.between 3.9 and 10 mmol/L; c. below 3.9 mmol/L; d.below 3.3 mmol/L; e.below 2.8 mmol/L; f. above 7.8 mmol/L; g. above 10 mmol/L; h. above 13.9 mmol/L; i. above 16.7 mmol/L.
| 12 weeks |
| Percentage of overnight time (23:00-7:00) of sensor glucose levels: | a. between 3.9 and 7.8 mmol/L; b. between 3.9 and 10 mmol/L; c.below 3.9 mmol/L; d. below 3.3 mmol/L; e. below 2.8 mmol/L; f. above 7.8 mmol/L; g. above 10 mmol/L; h. above 13.9 mmol/L; i. above 16.7 mmol/L. | 12 weeks |
| Percentage of daytime (7:00-23:00) of sensor glucose levels: | a. between 3.9 and 7.8 mmol/L; b. between 3.9 and 10 mmol/L; c. below 3.9 mmol/L; d. below 3.3 mmol/L; e. below 2.8 mmol/L; f. above 7.8 mmol/L; g. above 10 mmol/L; h. above 13.9 mmol/L; i. above 16.7 mmol/L. | 12 weeks |
| Standard deviation of glucose levels. | Standard deviation of glucose levels as a measure of glucose variability. | 12 weeks |
| Total insulin delivery. | Total insulin delivery | 12 weeks |
| Mean sensor glucose level during: | a. the overall study period; b. the daytime period; c. overnight period. | 12 weeks |
Scoring for the usability of the app ranges from 1-7; higher score = higher usability (patient-reported outcomes) |
| Post-intervention, approximately 12 weeks |
| Recurrent themes from semi-structured interviews | Qualitative interview data to obtain an understanding of relationships by connecting lived experiences with a) mean survey scores and b) primary and secondary outcomes regarding the use of the study software on quality of life. | Post-intervention, approximately 12 weeks |
| Montreal |
| Quebec |
| Canada |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |