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

May 22, 2020 updated by: Ahmad Haidar, McGill University

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

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.

Study Overview

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.

Study Type

Interventional

Enrollment (Actual)

12

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Quebec
      • Montréal, Quebec, Canada
        • McGill University Health Centre

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

12 years to 18 years (Child, Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. 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.)
  2. The participant will have been on insulin pump therapy for at least 3 months.
  3. HbA1c 7.5% to 12%.
  4. Self-reported or documented history of missed-bolus for meals during the previous 6 months.

Exclusion Criteria:

  1. Clinically significant nephropathy, neuropathy or retinopathy as judged by the investigator.
  2. Severe hypoglycemic episode within one month of screening.
  3. Pregnancy.
  4. Current use of oral glucocorticoid medication (except low stable dose). Stable doses of inhaled steroids are acceptable.
  5. Known or suspected allergy to the trial products, including the meal content.
  6. Other serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.
  7. Failure to comply with team's recommendations (e.g. not willing to eat meals/snacks, not willing to change pump parameters, etc.).

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: 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. Participants will eat breakfast and bolus, then eat lunch and not bolus.
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.
Experimental: 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. Participants will eat breakfast and bolus, then eat lunch and not bolus.
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
Active Comparator: Conventional Pump Therapy
Insulin will be delivered by subcutaneous insulin infusion pump with participants usual infusion rate. Participants will eat breakfast and bolus as per usual, then eat lunch and not bolus.
Insulin will be delivered by subcutaneous insulin infusion pump with participants usual infusion rate

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
AUCinc: The incremental area under the curve (as compared to pre-meal glucose value) of the postprandial glucose excursions for the lunch meal.
Time Frame: 0 - 240 min postprandial lunch meal
0 - 240 min postprandial lunch meal

Secondary Outcome Measures

Outcome Measure
Time Frame
AUCinc: The incremental area under the curve (as compared to pre-meal glucose value) of the postprandial glucose excursions: a. >10.0 mmol/L; b. >13.9 mmol/L; c. >16.7 mmol/L
Time Frame: 0 - 240 min postprandial lunch meal
0 - 240 min postprandial lunch meal
Percentage of postprandial time of sensor glucose measurements spent: a. <3.9 mmol/L; b. between 3.9 and 7.8 mmol/L; c. between 3.9 and 10.0 mmol/L; d. >10.0 mmol/L; e. >13.9 mmol/L; f. >16.7 mmol/L.
Time Frame: 0 - 240 min postprandial lunch meal
0 - 240 min postprandial lunch meal
Mean sensor glucose concentration.
Time Frame: 9 hours
9 hours
Total insulin delivery
Time Frame: 9 hours
9 hours
Glucose concentration as measured by CGM at 2 hours (120 min) post-meal.
Time Frame: 120 min postprandial lunch meal
120 min postprandial lunch meal
Incremental glucose concentration as measured by CGM at 2 hours (120 min) post-meal.
Time Frame: 120 min postprandial lunch meal
120 min postprandial lunch meal
Incremental postprandial peak of glucose concentration as measured by CGM.
Time Frame: 0 - 240 min postprandial lunch meal
0 - 240 min postprandial lunch meal
Number of hyperglycemic events > 18.0mmol/L.
Time Frame: 0 - 240 min postprandial lunch meal
0 - 240 min postprandial lunch meal
1. Glucose concentration as measured by CGM at 5 hours (300 min) post-meal. Glucose concentration as measured by CGM at 5 hours (300 min) post-meal
Time Frame: 300 min postprandial lunch meal
300 min postprandial lunch meal

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 31, 2017

Primary Completion (Actual)

October 11, 2019

Study Completion (Actual)

October 11, 2019

Study Registration Dates

First Submitted

September 1, 2016

First Submitted That Met QC Criteria

September 20, 2016

First Posted (Estimate)

September 21, 2016

Study Record Updates

Last Update Posted (Actual)

May 27, 2020

Last Update Submitted That Met QC Criteria

May 22, 2020

Last Verified

May 1, 2020

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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