Two Way Crossover Closed Loop Study MPC vs FMPD

NCT ID: NCT04771403

Last Updated: 2023-05-17

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 25 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2021-02-23
• Study Completion Date: 2022-03-10

Brief Summary

An artificial pancreas (AP) is a control system for automatic insulin delivery. Our group has implemented a fading memory proportional derivative controller (FMPD) for use within an AP control system which has been evaluated in clinical studies. However, the long action of insulin (90 minutes for peak action) makes it challenging to control insulin with a classical proportional derivative system. The study described within this protocol is designed to test the effectiveness of a new model-predictive control (MPC) AP that modulates insulin delivery based on estimated activity level. The potential benefit of this type of AP is that it handles exercise not as a discrete event, but it automatically adjusts insulin delivery based on estimated activity level calculated at every 5 minute cycle. This type of algorithm may significantly improve glucose control over our FMPD AP, which is designed only to detect exercise when activity level goes above a threshold for a specific duration of 45 minutes.

Detailed Description

Participants will undergo two approximately 76 hour studies. During each of these intervention visits, participants will wear an Omnipod to deliver insulin and a Dexcom G6 CGM to measure glucose. The CGM system will provide sensed glucose data every 5 minutes. Sensed glucose data will be wirelessly transmitted via Bluetooth Low Energy (BTLE) from the Dexcom G6 transmitter to the Samsung master controller every five minutes. The smart phone will wirelessly communicate via BTLE to an Omnipod through an Omnipod PDM. During one of the studies, glucose will be controlled using the MPC AP. During another study, glucose will be controlled using the FMPD AP. The AP system will receive activity data through a Polar M600 watch worn by the participant.

Participants will arrive at the clinic at approximately 7am for the inpatient visits. Participants will eat breakfast, lunch and dinner in the clinic. Participants will perform activities of daily living and exercise using an aerobic exercise video. Participants will discharge at 7pm to go home for the remainder of the study visit and perform one exercise video session at home. Participants will return to OHSU on Day 4 for removal of all devices. The exception to this is for the first 8 participants using the MPC AP. These participants will stay at the research clinic during the day and go home to sleep each night (7pm-7am).

Conditions

Type 1 Diabetes

Study Design

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

Study Groups

FMPD AP system

Participants will use the FMPD AP system for automated insulin delivery for a 76 hour study visit.

Group Type: EXPERIMENTAL

FMPD AP algorithm

Intervention Type: DEVICE

The Fading Memory Proportional Derivative (FMPD) insulin infusion algorithm determines insulin delivery rates based on proportional error, defined as the difference between the current CGM level and the target CGM level, and the derivative error, defined as the rate of change of the CGM. The FMPD algorithm utilizes derivative and proportional glucose errors to determine delivery rates of insulin.

MPC AP System

Participants will use the MPC AP system for automated insulin delivery for a 76 hour study visit.

Group Type: EXPERIMENTAL

MPC AP system

Intervention Type: DEVICE

The Model Predictive Control (MPC) insulin infusion algorithm contains a model within the controller that takes as an input the aerobic metabolic expenditure in addition to the CGM and meal inputs. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure. The metabolic expenditure then acts on the model for the insulin dynamics, whereby more energy expenditure and longer duration exercise can lead to a more substantial effect of insulin on the CGM.

Dexcom G6 Training Arm

Participants will use the Dexcom G6 CGM system within the MPC AP system to generate sensor glucose data during a 7 day period.

Group Type: EXPERIMENTAL

Dexcom G6 Continuous Glucose Monitoring (CGM) System

Intervention Type: DEVICE

The Dexcom G6 CGM measures interstitial glucose through a sensor transmitter. This glucose value is reported to the MPC algorithm during this intervention.

Interventions

FMPD AP algorithm

The Fading Memory Proportional Derivative (FMPD) insulin infusion algorithm determines insulin delivery rates based on proportional error, defined as the difference between the current CGM level and the target CGM level, and the derivative error, defined as the rate of change of the CGM. The FMPD algorithm utilizes derivative and proportional glucose errors to determine delivery rates of insulin.

Intervention Type: DEVICE

MPC AP system

The Model Predictive Control (MPC) insulin infusion algorithm contains a model within the controller that takes as an input the aerobic metabolic expenditure in addition to the CGM and meal inputs. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure. The metabolic expenditure then acts on the model for the insulin dynamics, whereby more energy expenditure and longer duration exercise can lead to a more substantial effect of insulin on the CGM.

Intervention Type: DEVICE

Dexcom G6 Continuous Glucose Monitoring (CGM) System

The Dexcom G6 CGM measures interstitial glucose through a sensor transmitter. This glucose value is reported to the MPC algorithm during this intervention.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Diagnosis of type 1 diabetes mellitus for at least 1 year.
• Male or female participants 21 to 50 years of age.
• Physically willing and able to perform aerobic exercise (as determined by the investigator after reviewing the participant's activity level)
• Current use of an insulin pump for at least 3 months with stable insulin pump settings for >2 weeks.
• Lives with another person age 18 or older who will be present while participant exercises at home and that can attend the training on using the system.
• Lives within 40 miles of OHSU main campus.
• HbA1c ≤ 10% at screening.
• Total daily insulin requirement is less than 139 units/day.
• Current use of a phone or other device so can be contacted by study staff off-campus
• Willingness to follow all study procedures, including attending all clinic visits.
• Willingness to sign informed consent and HIPAA documents.

Exclusion Criteria

• Female of childbearing potential who is pregnant or intending to become pregnant or breast-feeding, or is not using adequate contraceptive methods. Acceptable contraception includes birth control pill / patch / vaginal ring, Depo-Provera, Norplant, an IUD, the double barrier method (the woman uses a diaphragm and spermicide and the man uses a condom), or abstinence.
• Any cardiovascular disease, defined as a clinically significant EKG abnormality at the time of screening or any history of: stroke, heart failure, myocardial infarction, angina pectoris, or coronary arterial bypass graft or angioplasty. Diagnosis of 2nd or 3rd degree heart block or any non-physiological arrhythmia judged by the investigator to be exclusionary.
• Renal insufficiency (GFR < 60 ml/min, using the MDRD equation as reported by the OHSU laboratory).
• Liver failure, cirrhosis, or any other liver disease that compromises liver function as determined by the investigator.
• Hematocrit of less than 36% for men, less than 32% for women.
• Hypertensive participants with systolic blood pressure ≥ 160 mmHg or diastolic blood pressure ≥ 100 mmHg despite treatment or who have treatment-refractory hypertension (e.g. requiring four or more medications).
• History of severe hypoglycemia during the past 12 months prior to screening visit or hypoglycemia unawareness as judged by the investigator. Participants will complete a hypoglycemia awareness questionnaire. Participants will be excluded for four or more R responses.
• History of diabetes ketoacidosis during the prior 6 months prior to screening visit, as diagnosed on hospital admission or as judged by the investigator.
• Adrenal insufficiency.
• Any active infection.
• Known or suspected abuse of alcohol, narcotics, or illicit drugs.
• Seizure disorder.
• Active foot ulceration.
• Severe peripheral arterial disease characterized by ischemic rest pain or severe claudication.
• Major surgical operation within 30 days prior to screening.
• Use of an investigational drug within 30 days prior to screening.
• Chronic usage of any immunosuppressive medication (such as cyclosporine, azathioprine, sirolimus, or tacrolimus).
• Bleeding disorder, treatment with warfarin, or platelet count below 50,000.
• Allergy to aspart or lispro insulin.
• Current administration of oral or parenteral corticosteroids.
• Any life threatening disease, including malignant neoplasms and medical history of malignant neoplasms within the past 5 years prior to screening (except basal and squamous cell skin cancer).
• Beta blockers or non-dihydropyridine calcium channel blockers.
• Current use of any medication intended to lower glucose other than insulin (ex. use of liraglutide).
• A positive response to any of the questions from the Physical Activity Readiness Questionnaire with one exception: participant will not be excluded if he/she takes a single blood pressure medication that doesn't impact heart rate and blood pressure is controlled on the medication (blood pressure is less than 140/90 mmHg).
• Any chest discomfort with physical activity, including pain or pressure, or other types of discomfort.
• Any clinically significant disease or disorder which in the opinion of the Investigator may jeopardize the participant's safety or compliance with the protocol.

• Minimum Eligible Age: 21 Years
• Maximum Eligible Age: 50 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Juvenile Diabetes Research Foundation

OTHER

Sponsor Role: collaborator

The Leona M. and Harry B. Helmsley Charitable Trust

OTHER

Sponsor Role: collaborator

Oregon Health and Science University

OTHER

Sponsor Role: lead

Responsible Party

Jessica Castle

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Peter Jacobs, PhD

Role: PRINCIPAL_INVESTIGATOR

Oregon Health and Science University

Jessica Castle, MD

Role: PRINCIPAL_INVESTIGATOR

Oregon Health and Science University

Locations

Oregon Health and Science University

Portland, Oregon, United States

Countries

United States

References

Jacobs PG, Resalat N, Hilts W, Young GM, Leitschuh J, Pinsonault J, El Youssef J, Branigan D, Gabo V, Eom J, Ramsey K, Dodier R, Mosquera-Lopez C, Wilson LM, Castle JR. Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial. Lancet Digit Health. 2023 Sep;5(9):e607-e617. doi: 10.1016/S2589-7500(23)00112-7. Epub 2023 Aug 3.

Reference Type: DERIVED

PMID: 37543512 (View on PubMed)

Provided Documents

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

19973

Identifier Type: -

Identifier Source: org_study_id