NCT06676657

Brief Summary

An artificial pancreas (AP) is a control system for automatic insulin delivery. The investigators have implemented a high blood sugar detection and dosing algorithm for use within an AP control system. If a high blood sugar pattern is detected, correction insulin will be calculated and delivered. The investigators will test how well the new algorithm manages glucose compared to the AP control system without high blood sugar detection and dosing. This type of algorithm may improve glucose control for high risk patient populations.

Trial Health

57
Monitor

Trial Health Score

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

Trial has exceeded expected completion date
Enrollment
10

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Nov 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

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

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

November 4, 2024

Completed
2 days until next milestone

First Posted

Study publicly available on registry

November 6, 2024

Completed
16 days until next milestone

Study Start

First participant enrolled

November 22, 2024

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 30, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

August 30, 2025

Completed
Last Updated

April 11, 2025

Status Verified

April 1, 2025

Enrollment Period

8 months

First QC Date

November 4, 2024

Last Update Submit

April 8, 2025

Conditions

Keywords

automated insulin delivery systemsglucose sensor

Outcome Measures

Primary Outcomes (4)

  • Percent of time with sensor glucose less than 70 mg/dl

    Assess the percent of time that the Dexcom G6 reported sensor glucose values less than 70 mg/dl comparing first 3 weeks vs. last week

    entire 4 week study

  • Percent of time with sensor glucose less than 54 mg/dl

    Assess the percent of time that the Dexcom G6 reported sensor glucose values less than 54 mg/dl comparing first 3 weeks vs. last week

    entire 4 week study

  • Percent of time the pattern evaluation windows occurred

    To assess the hyperglycemia pattern detection and dosing feature by evaluating the percent time that the feature is active in detecting hyperglycemic patterns during the pattern evaluation windows calculated as: (minutes in pattern evaluation window) / (total minutes) \* 100

    entire 4 week study

  • Percent of time with sensor glucose greater than 250 mg/dl

    Assess the percent of time that the Dexcom G6 reported sensor glucose values more than 250 mg/dl comparing first 3 weeks vs. last week

    entire 4 week study

Secondary Outcomes (6)

  • Percent of time with sensor glucose 70 to 180 mg/dl

    entire 4 week study

  • Percent of time with sensor glucose 70 to 140 mg/dl

    entire 4 week study

  • Percent of time with sensor glucose greater than 180 mg/dl

    entire 4 week study

  • Coefficient of variation of glucose

    entire 4 week study

  • Insulin delivered

    entire 4 week study

  • +1 more secondary outcomes

Study Arms (1)

iPancreas automated insulin delivery system

EXPERIMENTAL

Participants will use the iPancreas automated insulin delivery system for 4 weeks at home. After 3 weeks of collecting high blood sugar pattern data, the high blood sugar pattern detection and dosing feature will be turned on.

Device: iPancreas automated insulin delivery system

Interventions

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 in puts. The algorithm uses heart rate and accelerometer data collected on the patient's body to calculate metabolic expenditure (METs). The METs 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. The MPC also has missed meal insulin bolus detection where the system will calculate the amount of insulin that was missed for a meal. The missed meal boluses can be delivered automatically without any input from the user. This feature can also be disabled. The MPC has a new feature called hyperglycemia pattern detection and dosing algorithm that will analyze problem patterns associated with high blood sugar and automatically calculate and deliver a correction dose.

iPancreas automated insulin delivery system

Eligibility Criteria

Age18 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Diagnosis of type 1 diabetes mellitus for at least 1 year.
  • Male or female participants 18 and older.
  • HbA1c or GMI ≥ 7.0% at screening.
  • Physically willing and able to perform 30 min of exercise (as determined by the investigator after reviewing the participant's activity level).
  • Current use of an FDA-approved hybrid closed loop system for ≥3 months.
  • Lives with another person age 18 or older who will sleep in the house at night and that can attend the training on using the system.
  • Lives within 40 miles of OHSU
  • Total daily insulin requirement is less than 139 units/day.
  • Able to read, write and understand spoken English
  • Current use of a smartphone 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:

  • GMI or A1c \<6.5% or \>10.5%
  • Sensor glucose shows \< 2% of time above 250 mg/dl in last 30 days.
  • Individual 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.
  • History of severe hypoglycemia during the past 6 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 (example skin infection requiring antibiotics)
  • Known or suspected abuse of alcohol, narcotics, or illicit drugs.
  • Seizure disorder.
  • Active foot ulceration.
  • Peripheral arterial disease.
  • Major surgical operation within 30 days prior to screening.
  • Use of an investigational drug within 30 days prior to screening.
  • +12 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Oregon Health and Science University

Portland, Oregon, 97239, United States

RECRUITING

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

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

Study Officials

  • Leah Wilson, MD

    Oregon Health and Science University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Leah Wilson, MD

CONTACT

Deborah Branigan

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
TREATMENT
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor

Study Record Dates

First Submitted

November 4, 2024

First Posted

November 6, 2024

Study Start

November 22, 2024

Primary Completion

July 30, 2025

Study Completion

August 30, 2025

Last Updated

April 11, 2025

Record last verified: 2025-04

Locations