Diabetes MellitusNCT04123054
A Novel mHealth Application Guided by an Optimization Algorithm for T1D Sensor-Augmented Insulin Injection Users
A study testing Mobile App and Mobile App + Basal-Bolus Optimization Algorithm in people with Diabetes Mellitus and Diabetes Mellitus, Type 1, run by McGill University at 2 sites in Canada.
Trial summary
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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Diabetes Mellitus, Diabetes Mellitus, Type 1
- What is being tested?
- Mobile App and Mobile App + Basal-Bolus Optimization Algorithm
- Type of treatment
- Injection or infusion, Medical device
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 84 participants
- Where
- 2 sitesCanada
- Study dates
- 5 Mar 2020to 12 Jan 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Males and females ≥ 18 years of age
- Clinical diagnosis of type 1 diabetes for at least 12 months. The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
- Undergoing multiple daily injection therapy.
- Baseline HbA1c value ≥ 7.5% (up to 7 days before or after screening).
Who cannot join
- Serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
- Failure to comply with the study protocol or with the team's recommendations.
- Injection of isophane insulin (NPH) or any intermediate-acting insulin
- More than 1 slow-acting injection and unwilling to switch to once a day for the study
- Current or ≤ 1-month use of other antihyperglycemic agents (Sodium-Glucose Cotransporter 2 inhibitor (SGLT2), Glucagon-Like Peptide-1 (GLP-1), Metformin, Acarbose, etc.…).
- Pregnancy
Show all 11Show fewer
- Severe hypoglycemic episode within one month of admission.
- Severe diabetic ketoacidosis episode within one month of admission
- Clinically significant nephropathy, neuropathy or retinopathy as judged by the investigator
- Recent (<6 months) acute macrovascular event e.g. acute coronary syndrome or cardiac surgery
- Other serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
Trial locations and contacts
2 sites in 1 country.
Canada2 sites
CIUSSS West-Central Montreal, Jewish General Hospital
Montreal, Quebec
McGill University Health Centre
Montreal, Quebec
About this study
Official title: 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.
Read the detailed description
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:
- More than 1 slow-acting injection and unwilling to switch to once a day for the study (addition)
- Severe hypoglycemic episode within one month of admission (addition)
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.
- Conditions
- Diabetes Mellitus, Diabetes Mellitus, Type 1
- Being tested
- Mobile App, Mobile App + Basal-Bolus Optimization Algorithm
- Keywords
- Multiple Daily Injections,, Type 1 diabetes, Optimization algorithm
- Medical subject headings
- Diabetes Mellitus, Diabetes Mellitus, Type 1
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Mobile AppDevice
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.
Mobile App + Basal-Bolus Optimization AlgorithmDevice
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Device: Mobile App |
| 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. Receives: Device: Mobile App + Basal-Bolus Optimization Algorithm |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change in HbA1c levels
Difference in HbA1c levels from the start to the end of the study
Measured: Pre-intervention and post-intervention, approximately 12 weeks
Secondary outcomes (7)
The number of patients that achieve an HbA1c at the end-of-study visit of:
- less than or equal to 7.0%; b. less than or equal to 6.5%
Measured: Post-intervention, approximately 12 weeks
Percentage of time of sensor glucose levels spent:
- 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.
Measured: 12 weeks
Percentage of overnight time (23:00-7:00) of sensor glucose levels:
- 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.
Measured: 12 weeks
Percentage of daytime (7:00-23:00) of sensor glucose levels:
- 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.
Measured: 12 weeks
Standard deviation of glucose levels.
Standard deviation of glucose levels as a measure of glucose variability.
Measured: 12 weeks
Total insulin delivery.
Total insulin delivery
Measured: 12 weeks
Mean sensor glucose level during:
- the overall study period; b. the daytime period; c. overnight period.
Measured: 12 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Oct 2019
- Study start5 Mar 2020
- Primary completion21 Dec 2023
- Study completion12 Jan 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Diabetes MellitusStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- 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.
- Masking
- None (open label)
- Enrolment
- 84 participants (actual)
Sponsor and investigators
- Lead sponsor
- McGill University
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Michael Tsoukas, MD, Principal investigator, RI-MUHC
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04123054
- Sponsor's protocol ID
- 2020-5887
- Status last verified
- May 2024
- First submitted
- 15 Aug 2019
- Last updated
- 16 May 2024
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: Participant data - after de-identification.
Publications
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.
PubMed 41022835
Study at a glance
From the registry record, last updated by the sponsor on 16 May 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT04123054
- Acronym / sponsor ID
- 2020-5887
- Conditions
- Diabetes Mellitus, Diabetes Mellitus, Type 1
- Keywords
- Multiple Daily Injections,, Type 1 diabetes, Optimization algorithm
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 84 participants (actual)
- Lead sponsor
- McGill UniversityUniversity, hospital or other
- Study start
- 5 Mar 2020 (actual)
- Primary completion
- 21 Dec 2023 (actual)
- Study completion
- 12 Jan 2024 (actual)
- First posted
- 10 Oct 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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:
- More than 1 slow-acting injection and unwilling to switch to once a day for the study (addition)
- Severe hypoglycemic episode within one month of admission (addition)
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.
Study design
- Primary purpose
- Treatment
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- 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.
| Arm | Type | Receives |
|---|---|---|
| Sensor-Augmented MDI + Mobile App (control) | Active comparator | Device: Mobile AppParticipants 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 | Device: Mobile App + Basal-Bolus Optimization AlgorithmParticipants 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- Males and females ≥ 18 years of age
- Clinical diagnosis of type 1 diabetes for at least 12 months. The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
- Undergoing multiple daily injection therapy.
- Baseline HbA1c value ≥ 7.5% (up to 7 days before or after screening).
Key exclusion criteria (11 listed)
- Serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
- Failure to comply with the study protocol or with the team's recommendations.
- Injection of isophane insulin (NPH) or any intermediate-acting insulin
- More than 1 slow-acting injection and unwilling to switch to once a day for the study
- Current or ≤ 1-month use of other antihyperglycemic agents (Sodium-Glucose Cotransporter 2 inhibitor (SGLT2), Glucagon-Like Peptide-1 (GLP-1), Metformin, Acarbose, etc.…).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Mobile AppParticipants 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. | Device | Sensor-Augmented MDI + Mobile App (control) |
| Mobile App + Basal-Bolus Optimization AlgorithmParticipants 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. | Device | Sensor-Augmented MDI + Mobile App + Basal-Bolus Optimization Algorithm |
Primary outcome
Change in HbA1c levels
Time frame: Pre-intervention and post-intervention, approximately 12 weeks
Difference in HbA1c levels from the start to the end of the study
7 secondary outcomes
The number of patients that achieve an HbA1c at the end-of-study visit of:
Time frame: Post-intervention, approximately 12 weeks
Percentage of time of sensor glucose levels spent:
Time frame: 12 weeks
Percentage of overnight time (23:00-7:00) of sensor glucose levels:
Time frame: 12 weeks
Percentage of daytime (7:00-23:00) of sensor glucose levels:
Time frame: 12 weeks
Standard deviation of glucose levels.
Time frame: 12 weeks
Total insulin delivery.
Time frame: 12 weeks
Mean sensor glucose level during:
Time frame: 12 weeks
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 16 May 2024.
- Derived from this study: PubMed 41022835Kobayati 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.
- Individual participant dataSharing planned: Yes. Participant data - after de-identification.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Michael Tsoukas, MD principal investigator
RI-MUHC
2 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Mobile App and Mobile App + Basal-Bolus Optimization Algorithm in people with Diabetes Mellitus and Diabetes Mellitus, Type 1, run by McGill University at 2 sites in Canada.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 11 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 16 May 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 2 sites in Canada. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in HbA1c levels (time frame: Pre-intervention and post-intervention, approximately 12 weeks). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04123054, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 16 May 2024.