Trials / Completed
CompletedNCT02909829
Safety and Efficacy of Artificial Pancreas With and Without a Meal Detection Module on Glycemic Control in Adolescents With Type 1 Diabetes After a Missed Bolus
An Open-label, Randomized, Three-way, Crossover Study to Assess the Safety and Efficacy of Closed-loop Delivery With and Without Meal Detection Module and Conventional Pump Therapy in Regulating Glucose Levels After a Missed Bolus in Adolescents With Type 1 Diabetes in Inpatient Settings
- Status
- Completed
- Phase
- N/A
- Study type
- Interventional
- Enrollment
- 12 (actual)
- Sponsor
- McGill University · Academic / Other
- Sex
- All
- Age
- 12 Years – 18 Years
- Healthy volunteers
- Not accepted
Summary
Despite current treatments for type 1 diabetes, maintaining blood glucose levels within a good range is a difficult task. A primary source for poor glucose control in adolescents is skipping insulin boluses at mealtimes. Advances in glucose sensors have motivated the research towards closed-loop delivery systems to automatically regulate glucose levels. Closed-loop delivery (artificial pancreas) is composed of an insulin pump, a continuous glucose sensor and a dosing algorithm that calculates the insulin dose to infuse based on sensor readings. The performance of a closed-loop delivery after a missed bolus may be improved if the computer program that calculates the insulin is enhanced with a meal detection module. The meal detection module will automatically detect the meal (which had no bolus delivered), and signal the delivery of more insulin. The aim of this study is to assess the safety and efficacy of a closed-loop delivery with and without meal detection module compared to conventional pump therapy in regulating post-prandial glycemic levels after omission of a meal bolus. The primary hypothesis is that closed-loop delivery with no meal detection module will reduce the mean increase in postprandial glucose levels after a missed bolus compared to conventional pump therapy.
Detailed description
Despite current treatments for type 1 diabetes, maintaining blood glucose levels within a good range is a difficult task. A primary source for poor glucose control in adolescents is skipping insulin boluses at mealtimes. Advances in glucose sensors have motivated the research towards closed-loop delivery systems to automatically regulate glucose levels. Closed-loop delivery (artificial pancreas) is composed of an insulin pump, a continuous glucose sensor and a dosing algorithm that calculates the insulin dose to infuse based on sensor readings. The performance of a closed-loop delivery after a missed bolus may be improved if the computer program that calculates the insulin is enhanced with a meal detection module. The meal detection module will automatically detect the meal (which had no bolus delivered), and signal the delivery of more insulin. The aim of this study is to conduct a randomized, three-way, cross-over trial to compare the efficacy of closed-loop delivery, closed-loop delivery with a meal detection module, and conventional pump therapy. The study aims to compare these three interventions for 9 hours in adolescents with poorly controlled type 1 diabetes. Each 9 hours will include two meals of different carbohydrate content, of which one will not have a carbohydrate-matched prandial bolus. This study will allow for the assessment of the safety and efficacy of closed-loop delivery with and without a meal detection module compared to conventional pump therapy in regulating post-prandial glycaemia. The aim of this study is to assess the safety and efficacy of a closed-loop delivery with and without meal detection module compared to conventional pump therapy in regulating post-prandial glycemic levels after omission of a meal bolus. The primary hypothesis is that closed-loop delivery with no meal detection module will reduce the mean increase in postprandial glucose levels after a missed bolus compared to conventional pump therapy. The secondary hypotheses are: 1. Closed-loop delivery with meal detection module will reduce the mean increase in postprandial glucose levels after a missed bolus compared to conventional pump therapy. 2. Closed-loop delivery with meal detection module will reduce the mean increase in postprandial glucose levels after a missed bolus compared to closed-loop delivery with no meal detection module.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DEVICE | Closed Loop Delivery | Insulin will be delivered by subcutaneous insulin infusion pump. Infusion rates will be changed manually every 10 minutes based on the computer generated recommendation infusion rates, calculated from the glucose levels measured by a real time sensor. The computer generated recommendations are based on a predictive algorithm. |
| DEVICE | Closed Loop Delivery with Meal Detection Module | Closed Loop Delivery with Meal Detection Module Insulin will be delivered by subcutaneous insulin infusion pump. Infusion rates will be changed manually every 10 minutes based on the computer generated recommendation infusion rates, calculated from the glucose levels measured by a real time sensor. The computer generated recommendations are based on a predictive algorithm with an overlying meal detection module which detects missed meals and will increase insulin infusion rates based on a predictive meal detection algorithm |
| DEVICE | Conventional Pump Therapy | Insulin will be delivered by subcutaneous insulin infusion pump with participants usual infusion rate |
Timeline
- Start date
- 2017-10-31
- Primary completion
- 2019-10-11
- Completion
- 2019-10-11
- First posted
- 2016-09-21
- Last updated
- 2020-05-27
Locations
1 site across 1 country: Canada
Source: ClinicalTrials.gov record NCT02909829. Inclusion in this directory is not an endorsement.