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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

NCT02909829 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 12

Last updated 2020-05-27

No results posted yet for this study

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.

Conditions

  • Diabetes Mellitus, Type 1

Interventions

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

Sponsors & Collaborators

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
12 Years
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2017-10-31
Primary Completion
2019-10-11
Completion
2019-10-11

Countries

  • Canada

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02909829 on ClinicalTrials.gov