Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| R01DK133148 | U.S. NIH Grant/Contract | View source |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) | NIH |
| DexCom, Inc. | INDUSTRY |
Not provided
Not provided
Not provided
A randomized crossover trial assessing glycemic control using Reinforcement Learning trained Bolus Priming System (BPS_RL) added to the the Automated Insulin Delivery as Adaptive NETwork (AIDANET algorithm) compared to the original AIDANET algorithm.
After receiving training on the study equipment, participants will use the AIDANET system at home for 7 days/6 nights to establish a baseline and initialize the control algorithm. Participants will then be studied at a hotel session for 3 days/2 nights. Participants will transition to home use of AIDANET+ BPS_RL for 7 days/6 nights.
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AIDANET→AIDANET+ BPS_RL | Active Comparator | Group A: AIDANET followed by AIDANET+ BPS_RL during the hotel session |
|
| AIDANET+ BPS_RL→AIDANET | Active Comparator | Group B: AIDANET+BPS_RL followed by AIDANET during the hotel session |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Automated Insulin Delivery Adaptive NETwork (AIDANET) | Device | Group A participants will use the AIDANET system at home for 7 days/6 nights. They will continue use of AIDANET system for 18 hours during the hotel session and then use AIDANET+BPS_RL for 18 hours during the hotel session. |
| Measure | Description | Time Frame |
|---|---|---|
| CGM-measured Time in Range (TIR, 70-180 mg/dL) During the 18-hour Hotel Sessions. | CGM-measured time in range (TIR, 70-180 mg/dL) during the 18-hour hotel sessions on AIDANET or AIDANET+BPS_RL. The time periods begin at 6 PM and end at noon on the next day, thereby covering two meals - dinner and breakfast. | 36 hours total (18 hours for Group A and 18 hours for Group B) |
| Measure | Description | Time Frame |
|---|---|---|
| CGM-measured Time Below Range <70mg/dL During Hotel Session | CGM-measured Time below range <70mg/dL during the 18-hour hotel session on AIDANET or AIDANET+BPS_RL | 18 hours |
| CGM-measured Time in Range (70-180 mg/dL) for At-home |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Sue Brown, MD | University of Virginia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Virginia Center for Diabetes Technology | Charlottesville | Virginia | 22903 | United States |
Will follow the NIH Data Sharing Policy and Implementation Guidance on sharing research resources for research purposes to qualified individuals in the scientific community.
Data will be made available after the publication of the manuscript.
The Data Sharing Agreements will be formulated by the study team
Not provided
Not provided
Three participants were determined to be ineligible. One withdrew before randomization.
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | AIDANET→AIDANET+ BPS_RL | Group A: AIDANET (Automated Insulin Delivery Adaptive NETwork) followed by AIDANET+ BPS_RL during the hotel session Group A participants will use the AIDANET system at home for 7 days/6 nights. During the hotel session, they will continue to use the AIDANET system for 18 hours, followed by 18 hours of use of AIDANET+BPS_RL. They will continue to use AIDANET+ BPS_RL system at home for 7 days/6 nights. |
| FG001 | AIDANET+ BPS_RL→AIDANET | Group B: AIDANET+BPS_RL followed by AIDANET during the hotel session Group B participants will use the AIDANET system at home for 7 days/6 nights. Then, during the hotel session, they will use the AIDANET+BPS_RL system for 18 hours, followed by 18 hours with the AIDANET system. They will then continue to use AIDANET+BPS_RL system at home for 7 days/6 nights. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall |
| |||||||||||||
| AIDANET training and 1-week at-home use |
| |||||||||||||
| Hotel admission intervention |
| |||||||||||||
| AIDANET+BPS-RL 1-week at-home use |
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | AIDANET→AIDANET+ BPS_RL | Group A: AIDANET followed by AIDANET+ BPS_RL during the hotel session Automated Insulin Delivery Adaptive NETwork (AIDANET): Group A participants will use the AIDANET system at home for 7 days/6 nights. They will continue use of AIDANET system for 18 hours during the hotel session and then use AIDANET+BPS_RL for 18 hours during the hotel session. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | CGM-measured Time in Range (TIR, 70-180 mg/dL) During the 18-hour Hotel Sessions. | CGM-measured time in range (TIR, 70-180 mg/dL) during the 18-hour hotel sessions on AIDANET or AIDANET+BPS_RL. The time periods begin at 6 PM and end at noon on the next day, thereby covering two meals - dinner and breakfast. | 12 instead of 15 are included here because 3 participants had a software error that did not allow evaluation in this part of the study, primarily due to changes in meals | Posted | Mean | Standard Deviation | percentage of time | 36 hours total (18 hours for Group A and 18 hours for Group B) |
|
Adverse event data was collected for the 3 weeks participated in the clinical trial - Visit 2 AIDANET training through the completion of visit 8 - post-study check in visit.
Any untoward medical occurrence in a study participant, irrespective of the relationship between the adverse event and the device(s) under investigation for reportable adverse events for this protocol.
Positive pregnancy test will not be considered an adverse event.
Not provided
| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | AIDANET | Participants will collect approximately one week of AIDANET baseline data. During this period, participants will generally use AIDANET in fully closed loop (FCL) mode. During the hotel session, they will continue to use the AIDANET system for 18 hours. |
Not provided
Not provided
Not provided
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Sue Brown, MD | UVA Center for Diabetes Technology | 434-982-0602 | sab2f@uvahealth.org |
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 19, 2025 | Jul 10, 2025 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Dec 3, 2024 | Jul 10, 2025 | ICF_001.pdf |
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D003922 | Diabetes Mellitus, Type 1 |
| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
Not provided
Not provided
This is a research study about the UVA Automated Insulin Delivery System known as Adaptive NETwork (AIDANET). This system consists of a Reinforcement Learning trained Bolus Priming System (BPS_RL) added to the AIDANET algorithm and running on Diabetes Assistant (DiAs) phone wirelessly connected to Tandem t:AP insulin pump and Dexcom Continuous Glucose Monitor (CGM). One part of the algorithm, called the Bolus Priming System (BPS), gives insulin automatically to help keep blood sugar levels in a healthy range.
In this study, the Bolus Priming System is being tested in a new way. This system uses a type of smart learning called reinforcement learning (RL), which helps the algorithm make better choices about how much insulin to give. The new version of the system looks at blood sugar and insulin levels over the past 3 days to find patterns and give a better insulin dose before meals. This should provide an improvement over the old system, which only uses the last 30 minutes of data.
Not provided
Not provided
Not provided
Not provided
|
|
| AIDANET+ BPS_RL→AIDANET | Device | Group B participant will use the AIDANET+BPS_RL system for 18 hours during the hotel session and will then use AIDANET system for 18 hours during the hotel session. They will continue to use AIDANET+BPS_RL system at home for 7 days/6 night and then use the AIDANET system at home for 7 days/6 nights. |
|
|
CGM-measured Time in range (70-180 mg/dL) for at-home sessions using AIDANET
| 7 days |
| CGM-measured Time Below Range 70 mg/dL for At-home | CGM-measured Time below range 70 mg/dL for at-home sessions using AIDANET or AIDANET BPS-RL | 1 week |
| NOT COMPLETED |
|
| NOT COMPLETED |
|
| NOT COMPLETED |
|
| BG001 | AIDANET+ BPS_RL→AIDANET | Group B: AIDANET+BPS_RL followed by AIDANET during the hotel session AIDANET+ BPS_RL→AIDANET: Group B participant will use the AIDANET+BPS_RL system for 18 hours during the hotel session and will then use AIDANET system for 18 hours during the hotel session. They will continue to use AIDANET+BPS_RL system at home for 7 days/6 night and then use the AIDANET system at home for 7 days/6 nights. |
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Age, Continuous | Participant age at screening, expressed in years. This variable characterizes the 15 adult participants with type 1 diabetes included in the study. All participants were aged ≥18.0 years, with ages ranging from 28.0 to 68.0 years. | Mean | Standard Deviation | Years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants |
|
Intervention arm: AIDANET
|
|
|
| Secondary | CGM-measured Time Below Range <70mg/dL During Hotel Session | CGM-measured Time below range <70mg/dL during the 18-hour hotel session on AIDANET or AIDANET+BPS_RL | 12 instead of 15 are included here because 3 participants had a software error that did not allow evaluation in this part of the study, primarily due to changes in meals. | Posted | Median | Inter-Quartile Range | percentage of time | 18 hours |
|
|
|
|
| Secondary | CGM-measured Time in Range (70-180 mg/dL) for At-home | CGM-measured Time in range (70-180 mg/dL) for at-home sessions using AIDANET | Posted | Mean | Standard Deviation | percentage of time | 7 days |
|
|
|
|
| Secondary | CGM-measured Time Below Range 70 mg/dL for At-home | CGM-measured Time below range 70 mg/dL for at-home sessions using AIDANET or AIDANET BPS-RL | Posted | Mean | Standard Deviation | percentage of time | 1 week |
|
|
|
|
| 0 |
| 15 |
| 0 |
| 15 |
| 0 |
| 15 |
| EG001 | AIDANET BPS_RL | Participants will use the AIDANET+BPS_RL system for 18 hours during the hotel session. They will continue to use AIDANET+BPS_RL system at home for 7 days/6 night. | 0 | 15 | 0 | 15 | 0 | 15 |
Not provided
Not provided
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |