Insulin-plus-pramlintide Closed-loop Strategy to Regulate Glucose Levels Without Carbohydrate Counting

NCT ID: NCT03800875

Last Updated: 2021-06-08

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: PHASE2
• Total Enrollment: 24 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2019-02-08
• Study Completion Date: 2020-09-19

Brief Summary

Closed-loop system systems that are shown to alleviate the burden of carbohydrate counting without degrading glucose control are still lacking. In this proposal, the investigators aim to develop a novel, fully-automated, closed-loop system that delivers insulin and pramlintide that controls postprandial glucose levels without any input from the user.

Detailed Description

Meal carbohydrate content is the main determinant of prandial insulin needs, and consequently, accurate carbohydrate counting is recommended for type 1 diabetes. Advances in glucose sensors have motivated the development of the closed-loop system to automatically regulate glucose levels in individuals with type 1 diabetes. In the closed-loop system, a dosing algorithm adjusts the pump insulin infusion rate based on continuous glucose sensor readings.

Closed-loop system systems that are shown to alleviate the burden of carbohydrate counting without degrading glucose control are still lacking. In this proposal, the investigators aim to develop a novel, fully-automated, closed-loop system that delivers insulin and pramlintide that controls postprandial glucose levels without any input from the user. Thus, the two hormones' role in the postprandial state will be as follows:

1. Insulin: to reduce plasma glucose levels. Insulin delivery needs to be aggressive to counter-act fast increase in post-meal glucose levels.

2. Pramlintide: to slow gastric emptying and aim insulin in efficiently controlling postprandial glucose levels.

The aim of this study is to assess a fully automated, dual-hormone, closed-loop system that delivers insulin, and pramlintide to control glucose levels without degrading overall glycemic control compared to an insulin-alone closed-loop system with carbohydrate-matched boluses.

The investigators hypothesize that the dual-hormone closed-loop system will alleviate carbohydrate-counting burden (fully reactive system) without degrading glucose control compared to the insulin-alone closed-loop system.

Conditions

Diabetes Mellitus, Type 1

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: CROSSOVER
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

Insulin-Pramlintide Closed-Loop Strategy

Fast-acting insulin will be delivered using two separate infusion pumps. The pumps' infusion rates will then be changed manually based on the computer-generated recommendation. The computer-generated recommendations are based on a dosing algorithm. With no-meal announcement or carbohydrate counting, the dual-hormone closed-loop system will be fully reactive, and insulin and pramlintide dosages will be based solely on sensor readings

Group Type: EXPERIMENTAL

27-hour inpatient intervention

Intervention Type: DRUG

Subjects will be admitted at the research facility at 19:00. Each 27-hour intervention visit includes 3 standardized meals (8:00, 12:00, and 17:00), an evening snack (22:00) and an overnight stay. The glucose level as measured by the real time sensor will be entered manually into the computer every 10 minutes. The infusion rate of either insulin alone or insulin and pramlintide will be changed manually based on the computer generated recommendation. The computer generated recommendations are based on a predictive algorithm.

Insulin-alone Closed Loop Strategy

Fast-acting insulin will be delivered by a subcutaneous insulin infusion pump based on an algorithm that automatically adjusts insulin rates based on a dosing algorithm. The carbohydrate content for every ingested meal will be entered into the algorithm to calculate the insulin prandial bolus based on each participant's insulin-to-carbohydrate ratio. The carbohydrate content will be entered at the onset of the meal.

Drug(s): Insulin (FiAsp)

Group Type: ACTIVE_COMPARATOR

27-hour inpatient intervention

Intervention Type: DRUG

Subjects will be admitted at the research facility at 19:00. Each 27-hour intervention visit includes 3 standardized meals (8:00, 12:00, and 17:00), an evening snack (22:00) and an overnight stay. The glucose level as measured by the real time sensor will be entered manually into the computer every 10 minutes. The infusion rate of either insulin alone or insulin and pramlintide will be changed manually based on the computer generated recommendation. The computer generated recommendations are based on a predictive algorithm.

Interventions

27-hour inpatient intervention

Subjects will be admitted at the research facility at 19:00. Each 27-hour intervention visit includes 3 standardized meals (8:00, 12:00, and 17:00), an evening snack (22:00) and an overnight stay. The glucose level as measured by the real time sensor will be entered manually into the computer every 10 minutes. The infusion rate of either insulin alone or insulin and pramlintide will be changed manually based on the computer generated recommendation. The computer generated recommendations are based on a predictive algorithm.

Intervention Type: DRUG

Eligibility Criteria

Inclusion Criteria

1. Males and females ≥ 18 years of age.

2. 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.

3. Insulin pump therapy for at least 6 months.

4. HbA1c ≤ 12% in the last 6 months.

Exclusion Criteria

1. Current or ≤ 1 month use of other antihyperglycemic agents (SGLT2, GLP-1, Metformin, Acarbose, etc.…).

2. Severe hypoglycemic episode within one month of admission.

3. Severe diabetic ketoacidosis episode within one month of admission.

4. Pregnancy.

5. Known or suspected allergy to the study drugs.

6. Gastroparesis.

7. Use of prokinetic drugs that stimulate gastric emptying (domperidone, cisapride, metoclopramide).

8. Clinically significant nephropathy, neuropathy or retinopathy as judged by the investigator.

9. Recent (< 6 months) acute macrovascular event e.g. acute coronary syndrome or cardiac surgery.

10. Current use of glucocorticoid medication.

11. Other serious medical illness likely to interfere with study participation or with the ability to complete the trial by the judgment of the investigator.

12. Failure to comply with team's recommendations (e.g. not willing to eat meals/snacks, not willing to change pump parameters, etc.).

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Diabetes Canada

OTHER

Sponsor Role: collaborator

McGill University

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Michael Tsoukas

Role: PRINCIPAL_INVESTIGATOR

McGill University Health Centre/Research Institute of the McGill University Health Centre

Locations

McGill University Health Centre

Montreal, Quebec, Canada

Countries

Canada

References

Tsoukas MA, Majdpour D, Yale JF, Fathi AE, Garfield N, Rutkowski J, Rene J, Legault L, Haidar A. A fully artificial pancreas versus a hybrid artificial pancreas for type 1 diabetes: a single-centre, open-label, randomised controlled, crossover, non-inferiority trial. Lancet Digit Health. 2021 Nov;3(11):e723-e732. doi: 10.1016/S2589-7500(21)00139-4. Epub 2021 Sep 24.

Reference Type: DERIVED

PMID: 34580055 (View on PubMed)

Other Identifiers

Triple Hormone

Identifier Type: -

Identifier Source: org_study_id