NCT04771403

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
25

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Feb 2021

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 27, 2021

Completed
27 days until next milestone

Study Start

First participant enrolled

February 23, 2021

Completed
2 days until next milestone

First Posted

Study publicly available on registry

February 25, 2021

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 10, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 10, 2022

Completed
1.2 years until next milestone

Results Posted

Study results publicly available

May 17, 2023

Completed
Last Updated

May 17, 2023

Status Verified

April 1, 2023

Enrollment Period

1 year

First QC Date

January 27, 2021

Results QC Date

March 2, 2023

Last Update Submit

April 21, 2023

Conditions

Keywords

glucose sensorautomated insulin delivery systems

Outcome Measures

Primary Outcomes (1)

  • Percent of Time With Sensed Glucose <70 mg/dl

    Assess the percent of time that the Dexcom G6 reported sensor glucose values less than 70 mg/dl using Dexcom sensor across the duration of the 12 hour inpatient stay (either Day 3 or Day 1 MPC vs. Day 1 FMPD).

    12 hour inpatient stay (either Day 3 or Day 1 MPC vs. Day 1 FMPD)

Secondary Outcomes (10)

  • Percent of Time With Sensed Glucose Between 70-180 mg/dl

    During each 76 hour intervention study (2 total)

  • Percent of Time With Sensed Glucose Between 70 - 180 mg/dl

    12 hour inpatient stay (either Day 3 or Day 1 MPC vs. Day 1 FMPD)

  • Percent of Time With Sensed Glucose Between 70 - 180 mg/dl After Exercise

    start of the in-clinic exercise session until the start of the next meal, approximately 1 hour

  • Percent of Time With Sensed Glucose <70 mg/dl After Exercise

    start of the in-clinic exercise session until the start of the next meal, approximately 1 hour

  • Number of Carbohydrate Treatments

    During each 76 hour intervention study (2 total)

  • +5 more secondary outcomes

Study Arms (3)

FMPD AP system

EXPERIMENTAL

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

Device: FMPD AP algorithm

MPC AP System

EXPERIMENTAL

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

Device: MPC AP system

Dexcom G6 Training Arm

EXPERIMENTAL

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

Device: Dexcom G6 Continuous Glucose Monitoring (CGM) System

Interventions

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.

FMPD 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.

MPC AP System

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

Dexcom G6 Training Arm

Eligibility Criteria

Age21 Years - 50 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • 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.

You may not qualify if:

  • 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.
  • 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.
  • +10 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Oregon Health and Science University

Portland, Oregon, 97239, United States

Location

Related Publications (1)

  • 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.

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Interventions

Continuous Glucose MonitoringDrug Delivery Systems

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Intervention Hierarchy (Ancestors)

Blood Chemical AnalysisClinical Chemistry TestsClinical Laboratory TechniquesDiagnostic Techniques and ProceduresDiagnosisDiagnostic Techniques, EndocrineMonitoring, PhysiologicInvestigative TechniquesDrug TherapyTherapeutics

Results Point of Contact

Title
Jessica Castle
Organization
Oregon Health and Science University

Study Officials

  • Peter Jacobs, PhD

    Oregon Health and Science University

    PRINCIPAL INVESTIGATOR
  • Jessica Castle, MD

    Oregon Health and Science University

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

January 27, 2021

First Posted

February 25, 2021

Study Start

February 23, 2021

Primary Completion

March 10, 2022

Study Completion

March 10, 2022

Last Updated

May 17, 2023

Results First Posted

May 17, 2023

Record last verified: 2023-04

Data Sharing

IPD Sharing
Will not share

Locations