Safety and Effectiveness of Automated Insulin Delivery (AID) Systems in Physically Active Adults With Type 1 Diabetes (AIDE-1)

January 10, 2023 updated by: Rémi Rabasa-Lhoret, Institut de Recherches Cliniques de Montreal

An Observational Study to Assess the Safety and Effectiveness of Automated Insulin Delivery (AID) Systems in Physically Active Adults With Type 1 Diabetes in Free-living Conditions (AIDE-1)

Despite recent medical and technological advances, optimal glycemic control (time in range; TIR) and prevention of hypoglycemia remain significant challenges for people living with type 1 diabetes (T1DM). Automated insulin delivery systems (AIDs) combine an insulin pump coupled via an algorithm with a continuous glucose monitor (CGM), allowing constant adjustment of insulin doses according to blood glucose levels. Despite the significant improvement in blood glucose parameters and quality of life with these systems, they are not available to everyone and more and more people with diabetes are resorting to home-made or do-it-yourself (DIY) systems to access this technology. DIY systems are not approved or regulated by Health Canada, despite the growing interest. There have been no studies looking at this type of system in active people living with DbT1, including the risk of exercise-induced hypoglycemia.

The primary objective of this study is to evaluate the safety and efficacy of IDA systems in physically active individuals living with type 1 diabetes.This is a real-life observational study in people with commercial IDA (control group) and IDA-DIY. This study includes only one inclusion visit (which may be virtual) and the observation period is 6 weeks.

Participants will be required to wear their own artificial pancreas system and give us access to blood glucose and insulin data at the end of the study. They will be required to wear a watch to record physical activity (FitBit). We will ask them to complete information about their diet at least twice a week for a whole day (Keenoa application).

Finally, participants will be asked to complete a physical activity diary to complete data (carbohydrates in prevention of activity, insulin suspension, hypoglycemia during or after exercise, etc.).

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Anticipated)

60

Contacts and Locations

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

Study Contact

Study Contact Backup

Study Locations

    • Quebec
      • Montreal, Quebec, Canada, H2W 1R7
        • Recruiting
        • Institut de recherches cliniques de Montréal (IRCM)

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

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Type 1 diabetes using an AID system; Physically active

Description

Inclusion Criteria:

  1. Males and females aged ≥ 18 years old.
  2. Clinical diagnosis of type 1 diabetes or latent autoimmune diabetes in adults (LADA) for at least one year. (The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.)
  3. Using automated insulin delivery systems (Commercial or DIY) for at least 3 months.
  4. Willing to share CGM data and insulin pump data with the research team. This access will be limited to the study period.
  5. Exercising at least twice weekly (Questionnaire assessment MAQ) or willing to exercise at least twice weekly during the study period.
  6. Willing to share physical activity tracker data with the research team and if applicable, data about the menstrual cycle.

Exclusion Criteria:

  1. Do not understand French or English
  2. Anticipated therapeutic change (including change of insulin type [switching to biosimilar is acceptable] and/or type of CGM sensor) between admission and end of the study.
  3. Anticipated need to use acetaminophen (dose above 1g every 6 hours) or vitamin C (dose above 500mg DIE) between admission and end of the study.
  4. Pregnancy (ongoing or current attempt to become pregnant).
  5. Breastfeeding.
  6. Uncontrolled thyroid disease (recent less than 5 months TSH should be in target range and treatment stable for at least 6 weeks).
  7. Severe hypoglycemic episode within two weeks of screening.
  8. Severe hyperglycemic episodes requiring hospitalization in the last 3 months
  9. Current use of glucocorticoid medication (except low stable dose and inhaled steroids and stable adrenal insufficiency treatment e.g., Cortef®).
  10. Current use of adjunct therapy such as SGLT-2 inhibitors or GLP_1 receptor analog unless at a stable dose for at least 3 months, without anticipated change during the study and appropriate ketone testing is performed in case of off-label SGLT2 usage.
  11. Anticipated radiologic examination incompatible with CGM wear for more than 10 days between admission and end of the study (e.g., repeated MRI).
  12. Physically inactive participants (see inclusion criteria #5).
  13. People with professional activities involving night shifts, as it may influence glycemic profiles differently compared to people working days and sleeping nights.
  14. In the opinion of the investigator, a participant who is unable or unwilling to complete the study (e.g., recent injury, foot wound, 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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Observationnal cohort
Patients with type 1 diabetes and using an AID system.
This is an outpatient prospective observational study to evaluate the effect of DIY-AID use on maintaining glucose levels in physically active adult people living with T1D.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in blood glucose levels from start of exercise to nadir during or up to 30 min post exercise.
Time Frame: 6 weeks
nadir: the lowest point on a glucose curve
6 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hypoglycemic events (n) 120-min before, during and 120-min after recorded structured PA sessions
Time Frame: 6 weeks
Number of hypoglycemic events
6 weeks
Hypoglycemic events (n) during (at least 15-min) of habitual PA and 30-min after
Time Frame: 6 weeks
Number of hypoglycemic events
6 weeks
Time in range 120-min before, during and 120-min after recorded structured PA sessions
Time Frame: 6 weeks
Time (min and percentage) with glucose levels a. between 3.9 and 10.0 mmol/L; b. below 3.9 mmol/L; c. below 3.0 mmol/L; d. above 10.0 mmol/L
6 weeks
Time in range during (at least 15-min) of habitual PA and 30-min after
Time Frame: 6 weeks
Time (min and percentage) with glucose levels a. between 3.9 and 10.0 mmol/L; b. below 3.9 mmol/L; c. below 3.0 mmol/L; d. above 10.0 mmol/L
6 weeks
CHO intake 120-min before, during and 120-min after recorded structured PA sessions
Time Frame: 6 weeks
Carbohydrate intake (g), timing and purpose of CHO intake prior to, during and within 30-min following PA.mmol/L; b. below 3.9 mmol/L; c. below 3.0 mmol/L; d. above 10.0 mmol/L
6 weeks
CHO intake during (at least 15-min) of habitual PA and 30-min after
Time Frame: 6 weeks
Carbohydrate intake (g), timing and purpose of CHO intake prior to, during and within 30-min following PA.mmol/L; b. below 3.9 mmol/L; c. below 3.0 mmol/L; d. above 10.0 mmol/L
6 weeks
Glucose variability 120-min before, during and 120-min after recorded structured PA sessions
Time Frame: 6 weeks
Glucose variability: Standard deviation (SD) and coefficient of variance (CV) of glucose levels
6 weeks
Glucose variability during (at least 15-min) of habitual PA and 30-min after
Time Frame: 6 weeks
Glucose variability: Standard deviation (SD) and coefficient of variance (CV) of glucose levels
6 weeks
Total insulin delivery 120-min before, during and 120-min after recorded structured PA sessions
Time Frame: 6 weeks
Insulin delivery
6 weeks
Total insulin delivery during (at least 15-min) of habitual PA and 30-min after
Time Frame: 6 weeks
Insulin delivery
6 weeks

Collaborators and Investigators

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

Collaborators

Investigators

  • Principal Investigator: Rémi Rabasa-Lhoret, MD, PhD, IRCM

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)

December 1, 2022

Primary Completion (Anticipated)

December 31, 2024

Study Completion (Anticipated)

December 31, 2024

Study Registration Dates

First Submitted

September 9, 2022

First Submitted That Met QC Criteria

November 15, 2022

First Posted (Actual)

November 25, 2022

Study Record Updates

Last Update Posted (Estimate)

January 11, 2023

Last Update Submitted That Met QC Criteria

January 10, 2023

Last Verified

January 1, 2023

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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