Closed Loop Context Aware AID
Assessment of a Fully-closed Loop AID System With a Context-aware Hyperglycemia Pattern Detection and Dosing Algorithm in People With Type 1 Diabetes
2 other identifiers
interventional
10
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Nov 2024
Shorter than P25 for not_applicable
1 active site
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
CompletedFirst Posted
Study publicly available on registry
November 6, 2024
CompletedStudy Start
First participant enrolled
November 22, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 30, 2025
CompletedApril 11, 2025
April 1, 2025
8 months
November 4, 2024
April 8, 2025
Conditions
Keywords
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
EXPERIMENTALParticipants 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.
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.
Eligibility Criteria
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
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Leah Wilson, MD
Oregon Health and Science University
Central Study Contacts
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