InsuLearn Feasibility With Type 1 Diabetes Patients Under MDI Therapy

NCT ID: NCT06411548

Last Updated: 2025-10-27

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 7 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2025-03-27
• Study Completion Date: 2025-10-17

Brief Summary

This is a 24-hour, randomized, crossover, single-center trial where participants are randomized to either start with the InsuLearn intervention or the usual care (UC) intervention. In the InsuLearn intervention, insulin doses are optimized using data collected in a 4-weeks at home data collection period.

Detailed Description

Following recruitment and screening, 12 participants will be randomized to either the InsuLearn→UC or the UC→InsuLearn sequence. Participants will be trained in the use of a Continuous Glucose Monitor (CGM) (Dexcom G6 or Guardian™ 4), smart insulin pen (SIP, InPen™, Medtronic) and the InPen™ bolus calculator phone application. The InPen™ application will be set to the "meal estimation" mode where the user can select the meal category: if it is a breakfast/lunch/dinner/snack and if it has low/med/high carb amount. During the one-month data collection period, participants will be asked to use the InPen™ app to log and deliver their insulin doses. Before the hotel admission, InsuLearn will analyze the collected data to learn a new optimized insulin dose for each meal category. InsuLearn will generate a report of suggested new insulin doses that will be reviewed, approved, or changed by the study physician as needed. In the 24-h supervised interventions (hotel admission), the participant will consume three standardized meals, a med-carb lunch, a high-carb dinner, and low-carb breakfast. The insulin dose delivered in each admission will be either calculated by participants as per their UC or is as provided by the InsuLearn approved report. The two interventions are combined into a 2-day admission without a washout period.

Conditions

Type 1 Diabetes Mellitus

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: CROSSOVER
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

InsuLearn→Usual Care

During the first 24 hours of the hotel admission (visit 6), participants' insulin dose will be calculated by the InsuLearn, MD approved, report. The second 24 hours of the hotel admission (visit 7), participants will use their usual care method to calculate their insulin dose.

Group Type: ACTIVE_COMPARATOR

InsuLearn

Intervention Type: DEVICE

InsuLearn is an artificial intelligence (AI)-algorithm that analyses collected participants data: CGM, insulin, and meal categories to learn the optimal insulin dose. InsuLearn will run offline in a study laptop to generate the optimal insulin dose for each meal category. The algorithm will generate an ambulatory glucose profile (AGP) report with new settings for the InPen™ meal estimation bolus calculator. The study physician will review the report and the algorithm recommendations. The study physician can accept or modify the algorithm recommendations as per his judgment. The new settings will be used during the intervention admission.

Usual Care→InsuLearn

During the first 24 hours of the hotel admission (visit 6), participants' insulin dose will be calculated by their usual care method. The second 24 hours of the hotel admission (visit 7), participants will use the InsuLearn, MD approved, report to calculate their insulin dose.

Group Type: ACTIVE_COMPARATOR

InsuLearn

Intervention Type: DEVICE

InsuLearn is an artificial intelligence (AI)-algorithm that analyses collected participants data: CGM, insulin, and meal categories to learn the optimal insulin dose. InsuLearn will run offline in a study laptop to generate the optimal insulin dose for each meal category. The algorithm will generate an ambulatory glucose profile (AGP) report with new settings for the InPen™ meal estimation bolus calculator. The study physician will review the report and the algorithm recommendations. The study physician can accept or modify the algorithm recommendations as per his judgment. The new settings will be used during the intervention admission.

Interventions

InsuLearn

InsuLearn is an artificial intelligence (AI)-algorithm that analyses collected participants data: CGM, insulin, and meal categories to learn the optimal insulin dose. InsuLearn will run offline in a study laptop to generate the optimal insulin dose for each meal category. The algorithm will generate an ambulatory glucose profile (AGP) report with new settings for the InPen™ meal estimation bolus calculator. The study physician will review the report and the algorithm recommendations. The study physician can accept or modify the algorithm recommendations as per his judgment. The new settings will be used during the intervention admission.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

1. Age ≥18.0 years old at time of consent.

2. Clinical diagnosis, based on investigator assessment, of type 1 diabetes for at least one year.

3. Hemoglobin A1c (HbA1c) between 6.5% - 10.0%, inclusive, within the past 60 days.

4. Currently using insulin under multiple daily injections (MDI) therapy for at least six months.

5. Willingness to wear the study continuous glucose monitor (CGM) during the duration of the study.

6. Access to the internet and willingness to upload data during the study as needed.

7. If female and sexually active, must agree to use a form of contraception to prevent pregnancy while a participant in the study. A negative serum or urine pregnancy test will be required for all females of childbearing potential. Participants who become pregnant will be discontinued from the study. Also, participants who during the study develop and express the intention to become pregnant within the timespan of the study will be discontinued.

8. Investigator has confidence that the subject can successfully operate all study devices and can adhere to the protocol.

9. Willingness to remain on same dose of non-insulin glucose-lowering agent during the trial (including metformin/biguanides, GLP-1 receptor agonists, pramlintide, DPP-4 inhibitors, sulfonylureas and naturaceuticals).

Exclusion Criteria

1. NPH (neutral protamine hagedorn) insulin

2. Use of any medication that at the discretion of the investigator is deemed to interfere with the trial.

3. Currently being treated for a seizure disorder.

4. A known medical condition that in the judgment of the investigator might interfere with the completion of the protocol, such as but not limited to, the following examples:

1. Inpatient psychiatric treatment in the past 6 months

2. Presence of a known adrenal disorder

3. Abnormal liver function test results (Transaminase >3 times the upper limit of normal)

4. Abnormal renal function test results (calculated GFR <60 mL/min/1.73m2).

5. Active gastroparesis requiring medical therapy.

6. Uncontrolled thyroid disease (TSH undetectable or >10 mlU/L).

7. Abuse of alcohol or recreational drugs

8. Infectious process not anticipated to be resolved prior to study procedures (e.g. meningitis, pneumonia, osteomyelitis, deep tissue infection).

9. Uncontrolled arterial hypertension (Resting diastolic blood pressure >100 mmHg and/or systolic blood pressure >180 mmHg).

10. Uncontrolled microvascular complications such as current active proliferative diabetic retinopathy defined as proliferative retinopathy requiring treatment (e.g. laser therapy or VEGF inhibitor injections) in the past 12 months.

5. Currently pregnant or intent to become pregnant during the trial.

6. Currently breastfeeding.

7. An injury to body or limb, muscular disorder, use of any medication, any carcinogenic disease, or other significant medical disorder if that injury, medication, or disease in the judgment of the investigator will affect the completion of the protocol.

8. Participation in another pharmaceutical or device trial at the time of enrolment or during the study.

9. Non-stable dose of non-insulin glucose-lowering agent during the trial (including metformin/biguanides, GLP-1 receptor agonists, pramlintide, DPP-4 inhibitors, sulfonylureas and naturaceuticals) as defined by study physician.

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Medtronic

INDUSTRY

Sponsor Role: collaborator

University of Virginia

OTHER

Sponsor Role: lead

Responsible Party

Anas El Fathi

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Anas Fathi, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Virginia Center for Diabetes Technology

Locations

University of Virginia Center for Diabetes Technology

Charlottesville, Virginia, United States

Countries

United States

Other Identifiers

231610

Identifier Type: -

Identifier Source: org_study_id