Efficacy of Closed-Loop Strategy With and Without a Learning Component in Children and Adolescents With Type 1 Diabetes at a Diabetes Camp
NCT ID: NCT03581968
Last Updated: 2018-11-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
45 participants
INTERVENTIONAL
2018-07-02
2018-08-10
Brief Summary
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The objective of this project is to test our artificial pancreas system with and without the learning algorithm using a randomized crossover design in between 31 and 67 children and adolescents at camp Carowanis. We hypothesize that adding a learning algorithm to the artificial pancreas will improve the performance of our artificial pancreas system by increasing the time spent in target glucose range (4mmol/L - 10mmol/L) compared with the artificial pancreas system alone.
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Detailed Description
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1. Closed-loop therapy: participants will undergo a closed-loop therapy where insulin delivery is determined by the MAP system. The study parameters (basal rates and ICRs) will be determined by the camp's physicians on day 1 of camp. The research staff will update the pump's settings to reflect the physician's recommendations at the beginning of the closed-loop therapy, and each time the physicians update the study parameters. Camp physicians will review participants' sensor and insulin data daily, and if necessary, adjust participant basal rates and ICRs. The research staff members will likewise adjust the pump's basal rates and ICR settings as per physician's recommendations. The closed-loop therapy will last 2 days (48 hours).
2. Closed-loop therapy with learning module: participants will undergo a closed-loop therapy where insulin delivery is determined by the MAP system. The study parameters (basal rates and ICRs) will be computed by the learning algorithm and updated daily. The learning algorithm runs on a computer of the research staff members and requires patient data to calculate the optimal basal rates and ICR. Each morning, the research staff members will upload patient data onto the computer, run the leaning algorithm, and update the pump parameters to reflect the recommendations computed by the learning algorithm. Camp physicians will be to review the algorithm's recommendations before they are entered into the patient's pump. The closed-loop therapy with the learning module will last 8 days (192 hours).
Conditions
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Study Design
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RANDOMIZED
CROSSOVER
TREATMENT
SINGLE
Study Groups
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Closed-loop therapy
Participants will undergo a closed-loop therapy where insulin delivery is determined by the MAP system. The study parameters (basal rates and ICRs) will be determined by the camp's physicians. The research staff will update the pump's settings to reflect the physician's recommendations at the beginning of the closed-loop therapy, and each time the physicians update the study parameters. The closed-loop therapy will last 2 days (48 hours).
Artificial Pancreas
The system is composed of 3 main components:
1. Insulin infusion pump to infuse insulin. The pump model used in the study is t:slim, Tandem Diabetes Care.
2. Continuous glucose monitor (CGM) to continuously measure glucose levels in the interstitial fluid. Glucose levels will be measured by Dexcom G5® CGM.
3. MAP application (iMAP) that computes insulin infusion based on the glucose values. The application also alarms the user when glucose sensor values are approaching the hypoglycemic or hyperglycemic range. The iMAP runs on an android smartphone.
Every 10 minutes, iMAP retrieves the glucose values from the Dexcom G5 CGM via Bluetooth. The application computes an optimal insulin infusion rate based on i) the current glucose reading, ii) the glucose trend (i.e. how quickly the glucose level is rising or falling) and iii) the open-loop basal rates (study parameters). The insulin recommendations are then sent wirelessly via Bluetooth to the insulin pump.
Closed-loop therapy with learning module
participants will undergo a closed-loop therapy where insulin delivery is determined by the MAP system. The study parameters (basal rates and ICRs) will be computed by the learning algorithm and updated daily. The learning algorithm runs on a computer of the research staff members and requires patient data to calculate the optimal basal rates and ICR. Each day, the research staff members will upload patient data onto the computer, run the leaning algorithm, and update the pump parameters to reflect the recommendations computed by the learning algorithm. The closed-loop therapy with the learning module will last 8 days (192 hours).
Artificial Pancreas
The system is composed of 3 main components:
1. Insulin infusion pump to infuse insulin. The pump model used in the study is t:slim, Tandem Diabetes Care.
2. Continuous glucose monitor (CGM) to continuously measure glucose levels in the interstitial fluid. Glucose levels will be measured by Dexcom G5® CGM.
3. MAP application (iMAP) that computes insulin infusion based on the glucose values. The application also alarms the user when glucose sensor values are approaching the hypoglycemic or hyperglycemic range. The iMAP runs on an android smartphone.
Every 10 minutes, iMAP retrieves the glucose values from the Dexcom G5 CGM via Bluetooth. The application computes an optimal insulin infusion rate based on i) the current glucose reading, ii) the glucose trend (i.e. how quickly the glucose level is rising or falling) and iii) the open-loop basal rates (study parameters). The insulin recommendations are then sent wirelessly via Bluetooth to the insulin pump.
Interventions
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Artificial Pancreas
The system is composed of 3 main components:
1. Insulin infusion pump to infuse insulin. The pump model used in the study is t:slim, Tandem Diabetes Care.
2. Continuous glucose monitor (CGM) to continuously measure glucose levels in the interstitial fluid. Glucose levels will be measured by Dexcom G5® CGM.
3. MAP application (iMAP) that computes insulin infusion based on the glucose values. The application also alarms the user when glucose sensor values are approaching the hypoglycemic or hyperglycemic range. The iMAP runs on an android smartphone.
Every 10 minutes, iMAP retrieves the glucose values from the Dexcom G5 CGM via Bluetooth. The application computes an optimal insulin infusion rate based on i) the current glucose reading, ii) the glucose trend (i.e. how quickly the glucose level is rising or falling) and iii) the open-loop basal rates (study parameters). The insulin recommendations are then sent wirelessly via Bluetooth to the insulin pump.
Eligibility Criteria
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Inclusion Criteria
2. 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.
3. The participant will have been on insulin pump therapy for at least 3 months.
4. HbA1c ≤ 11%.
Exclusion Criteria
2. Serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
3. Failure to comply with the study protocol or with team's recommendations (e.g. not willing to use trial pump, etc.).
8 Years
21 Years
ALL
No
Sponsors
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McGill University
OTHER
Responsible Party
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Locations
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Camp Carowanis
Sainte-Agathe-des-Monts, Quebec, Canada
Countries
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Other Identifiers
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2018-4269
Identifier Type: -
Identifier Source: org_study_id
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