Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Type 1 diabetes (T1D) is a complex disease with a high risk of both hyper- and hypoglycemia which can lead to severe acute and chronic complications. The burden and complexity of managing T1D results in the majority of people not reaching adequate glycemic control. Our team has developed a smartphone based application, DailyDose, that combines continuous glucose monitoring data and insulin data to provide decision support for subjects with type 1 diabetes taking multiple daily injections (MDI). DailyDose provides on-demand, real-time dosing recommendations for insulin doses prior to meals and to correct hyperglycemia. DailyDose analyzes glucose patterns and provides weekly recommendations to the patient on insulin settings including carbohydrate ratios and correction factors. As needed, DailyDose will make weekly recommendations to change basal insulin. For subject safety, study investigators will set constraints on settings for short and long acting insulin during the onboarding process. DailyDose will not be able to recommend insulin dose changes above or below the set safety thresholds. DailyDose also provides recommendations on carbohydrate intake for exercise and includes hypoglycemia and hyperglycemia alarms.
Subjects will be on study for 10 weeks. Subjects will begin the study with a training visit on the Dexcom G6 CGM system and the InPen and Clipsulin smart insulin pens. Subjects will use these devices for the next 14 days at home. Subjects will return to OHSU at the end of the 14 days for a training on using the DailyDose system. Subjects will then return home to use the DailyDose system for 8 weeks. Sensor glucose, exercise, insulin and meal data will be collected during the DailyDose portion of the study in order to produce recommendations for insulin dosing. Subjects will receive up to 4 recommendations every 7 days. Subjects will also receive recommendations for exercise based on the PEAK exercise guidelines.
Subjects will wear the Dexcom G6 and an Apple Watch physical activity monitor for the entire study. Insulin data will be collected using the InPen for aspart insulin and Clipsulin for the long acting insulin. Subjects will complete a 30 minute aerobic exercise video at home once per week. Subjects will also be asked to complete two additional exercise sessions on their own at home, one aerobic session and the other whatever type of exercise they would normally do (aerobic, resistance etc.). Subjects will use the bolus calculator within the DailyDose app. Subjects will be instructed to test capillary blood glucose (CBG) after exercise, for symptoms of hypoglycemia or hypoglycemia alerts and again 15 minutes after rescue carbohydrate treatment until CBG >70 mg/dl.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| DailyDose Decision Support | Experimental | Subjects will use DailyDose decision support for 8 weeks at home. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| DailyDose Decision Support | Device | DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model. |
| Measure | Description | Time Frame |
|---|---|---|
| Mean Change in the Percent of Time With Sensed Glucose Between 70 - 180 mg/dl | Mean change in the percent of time with sensed glucose between 70 - 180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Weeks 1-2 and 9-10 |
| Measure | Description | Time Frame |
|---|---|---|
| Mean Change in Sensed Glucose | Mean change in sensed glucose based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Weeks 1-2 and 9-10 |
| Mean Change in the Percent of Time With Sensed Glucose <70 mg/dl |
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Peter Jacobs, PhD | Oregon Health and Science University | Principal Investigator |
| Jessica Castle, MD | Oregon Health and Science University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Oregon Health and Science University | Portland | Oregon | 97239 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35920839 | Derived | Castle JR, Wilson LM, Tyler NS, Espinoza AZ, Mosquera-Lopez CM, Kushner T, Young GM, Pinsonault J, Dodier RH, Hilts WW, Oganessian SM, Branigan DL, Gabo VB, Eom JH, Ramsey K, Youssef JE, Cafazzo JA, Winters-Stone K, Jacobs PG. Assessment of a Decision Support System for Adults with Type 1 Diabetes on Multiple Daily Insulin Injections. Diabetes Technol Ther. 2022 Dec;24(12):892-897. doi: 10.1089/dia.2022.0252. Epub 2022 Sep 5. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| FG000 | DailyDose Decision Support | Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Run in Visit Training (2 Hours) |
| |||||||||||||
| First at Home Period (~2 Weeks) |
| |||||||||||||
| DailyDose Training Visit (2 Hours) |
| |||||||||||||
| Second at Home Period (8 Weeks) |
| |||||||||||||
| Study Close-out Visit (30 Minutes) |
|
Not provided
Not provided
| ID | Title | Description |
|---|---|---|
| BG000 | DailyDose Decision Support | Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model. |
| 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 | Mean Change in the Percent of Time With Sensed Glucose Between 70 - 180 mg/dl | Mean change in the percent of time with sensed glucose between 70 - 180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Mean | Standard Deviation | percentage of time | Weeks 1-2 and 9-10 |
|
10 weeks
All participants that started a visit are included in the adverse events. All subjects completed all visits except one. That subject only completed two of the three visits.
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 | DailyDose Decision Support | Subjects will use DailyDose decision support for 8 weeks at home. DailyDose Decision Support: DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model. |
Not provided
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| upper respiratory infection | Infections and infestations | Non-systematic Assessment |
Not provided
| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Jessica Castle | Oregon Health and Science University | 503-494-7072 | castleje@ohsu.edu |
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 | Nov 10, 2020 | Apr 20, 2022 | Prot_SAP_000.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
Not provided
Not provided
Not provided
Not provided
Not provided
|
Mean change in the percent of time with sensed glucose < 70 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10.
| Weeks 1-2 and 9-10 |
| Mean Change in the Percent of Time With Sensed Glucose <54 mg/dl | Mean change in the percent of time with sensed glucose < 54 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Weeks 1-2 and 9-10 |
| Mean Change in the Percent of Time With Sensed Glucose >180 mg/dl | Mean change in the percent of time with sensed glucose >180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Weeks 1-2 and 9-10 |
| Mean Change in the Percent of Time With Sensed Glucose >250 mg/dl | Mean change in the percent of time with sensed glucose >250 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Weeks 1-2 and 9-10 |
| Change in Coefficient of Variation of Sensor Glucose Based on the Dexcom G6 CGM Data. | Change in coefficient of variation of sensor glucose based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Weeks 1-2 and 9-10 |
|
| Participants |
|
| Age, Continuous | Mean | Standard Deviation | years |
|
| Sex: Female, Male | Count of Participants | Participants |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Race (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Number | participants |
|
|
|
| Secondary | Mean Change in Sensed Glucose | Mean change in sensed glucose based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Mean | Standard Deviation | mg/dL | Weeks 1-2 and 9-10 |
|
|
|
| Secondary | Mean Change in the Percent of Time With Sensed Glucose <70 mg/dl | Mean change in the percent of time with sensed glucose < 70 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Mean | Standard Deviation | percentage of time | Weeks 1-2 and 9-10 |
|
|
|
| Secondary | Mean Change in the Percent of Time With Sensed Glucose <54 mg/dl | Mean change in the percent of time with sensed glucose < 54 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Mean | Standard Deviation | percentage of time | Weeks 1-2 and 9-10 |
|
|
|
| Secondary | Mean Change in the Percent of Time With Sensed Glucose >180 mg/dl | Mean change in the percent of time with sensed glucose >180 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Mean | Standard Deviation | percentage of time | Weeks 1-2 and 9-10 |
|
|
|
| Secondary | Mean Change in the Percent of Time With Sensed Glucose >250 mg/dl | Mean change in the percent of time with sensed glucose >250 mg/dl based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Mean | Standard Deviation | percentage of time | Weeks 1-2 and 9-10 |
|
|
|
| Secondary | Change in Coefficient of Variation of Sensor Glucose Based on the Dexcom G6 CGM Data. | Change in coefficient of variation of sensor glucose based on the Dexcom G6 CGM data between weeks 1-2 and 9-10. | Posted | Number | percent of CV | Weeks 1-2 and 9-10 |
|
|
|
| 0 |
| 25 |
| 0 |
| 25 |
| 2 |
| 25 |
| urinary tract infection | Infections and infestations | Non-systematic Assessment |
|
| vaginal infection | Infections and infestations | Non-systematic Assessment |
|
| strep throat | Infections and infestations | Non-systematic Assessment |
|
Not provided
Not provided
Not provided
| D004700 | Endocrine System Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |