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The Efficacy of Multiple Daily Injection Treatment With an Optimization Algorithm Adjusting Basal-Bolus Parameters in Free-Living Outpatient Conditions in Adults With Type 1 Diabetes

2019-10-17 11:03:51 | BioPortfolio

Summary

The Artificial Pancreas lab at McGill University has developed an optimization algorithm for adults with Type 1 Diabetes (T1D) on Multiple Daily Injection (MDI) therapy with the adjunctive use of glucose sensor technology, collectively known as sensor-augmented MDI therapy. The algorithm is designed to estimate optimal basal-bolus parameters based on the patient's glucose, insulin and meal data over several days. The investigators hope that this algorithm will be better able to improve long-term glycemic targets by reducing HbA1c levels compared to sensor-augmented MDI therapy alone.

Description

The objective of this exploratory study is to test the efficacy of this optimization algorithm with sensor-augmented MDI therapy in improving long-term glucose control, using a randomized parallel study over three months. The optimization algorithm may lead to the automation of physician-adjusted basal rate and Insulin to Carb Ratio (ICR) adjustments.

84 adults with type 1 diabetes will be enrolled in the study, where they will randomly undergo one of two interventions:

1. Sensor-Augmented MDI Therapy: Participants will undergo their usual MDI therapy along with a Freestyle Libre glucose sensor (Abbott Diabetes Care), and a data collection mobile application that collects insulin and meal data.

2. Sensor-Augmented MDI Therapy with the Optimization Algorithm: Participants will undergo MDI therapy with a Freestyle Libre glucose sensor (Abbott Diabetes Care) and a data collection mobile application that collects insulin and meal data. Every week, participants will have their insulin doses adjusted by the optimization algorithm's recommendations.

Study Design

Conditions

Diabetes Mellitus

Intervention

MDI (multiple daily injections) with Optimization Algorithm

Location

McGill University Health Centre
Montréal
Quebec
Canada

Status

Not yet recruiting

Source

McGill University

Results (where available)

View Results

Links

Published on BioPortfolio: 2019-10-17T11:03:51-0400

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Medical and Biotech [MESH] Definitions

A subclass of DIABETES MELLITUS that is not INSULIN-responsive or dependent (NIDDM). It is characterized initially by INSULIN RESISTANCE and HYPERINSULINEMIA; and eventually by GLUCOSE INTOLERANCE; HYPERGLYCEMIA; and overt diabetes. Type II diabetes mellitus is no longer considered a disease exclusively found in adults. Patients seldom develop KETOSIS but often exhibit OBESITY.

Diabetes mellitus induced experimentally by administration of various diabetogenic agents or by PANCREATECTOMY.

A hereditary condition characterized by multiple symptoms including those of DIABETES INSIPIDUS; DIABETES MELLITUS; OPTIC ATROPHY; and DEAFNESS. This syndrome is also known as DIDMOAD (first letter of each word) and is usually associated with VASOPRESSIN deficiency. It is caused by mutations in gene WFS1 encoding wolframin, a 100-kDa transmembrane protein.

Urination of a large volume of urine with an increase in urinary frequency, commonly seen in diabetes (DIABETES MELLITUS; DIABETES INSIPIDUS).

A subtype of DIABETES MELLITUS that is characterized by INSULIN deficiency. It is manifested by the sudden onset of severe HYPERGLYCEMIA, rapid progression to DIABETIC KETOACIDOSIS, and DEATH unless treated with insulin. The disease may occur at any age, but is most common in childhood or adolescence.

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