MMPPC Outpatient Clinical Protocol 2016

NCT ID: NCT02769884

Last Updated: 2018-01-30

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE2

Total Enrollment

10 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-07-31

Study Completion Date

2016-12-31

Brief Summary

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This study trials a prototype artificial pancreas system that consists of a Roche insulin pump, a Dexcom continuous glucose monitor (CGM), and an experiential MMPPC (multiple model probabilistic predictive control) algorithm housed on an android cell phone. The system doses insulin based on CGM sensor glucose levels and the experimental algorithm.

The aim of this clinical study is to determine the efficacy of the MMPPC controller in adolescents and adults with type 1 diabetes in a hotel setting.

Detailed Description

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This study trials a prototype artificial pancreas system that consists of a Roche insulin pump, a Dexcom continuous glucose monitor (CGM), and an experiential MMPPC (multiple model probabilistic predictive control) algorithm housed on an android cell phone. The system doses insulin based on CGM sensor glucose levels and the experimental algorithm. The algorithm runs through a glucose control platform called the DiAs (Diabetes Assistant)

The aim of this study is to determine the safety and feasibility of the MMPPC controller in adults and adolescents with type 1 diabetes testing the use of predefined tuning parameters to provide adaptability to patient. We will assess the safety of the system with both unannounced meals, and meals using a meal announcement with a premeal insulin bolus based on the subject's estimated carbohydrate content of the meal

Conditions

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Type 1 Diabetes

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Use the MMPPC system for 72 hours in a hotel setting
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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MMPPC arm

Subjects in this arm will wear the experimental MMPPC algorithm artificial pancreas for 72 hours in a hotel/house setting. The study period will involve unannounced meals and exercise

Group Type EXPERIMENTAL

MMPPC algorithm artificial pancreas

Intervention Type DEVICE

An artificial pancreas system using the MMPPC algorithm, Roche insulin pump, and Dexcom CGM

Interventions

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MMPPC algorithm artificial pancreas

An artificial pancreas system using the MMPPC algorithm, Roche insulin pump, and Dexcom CGM

Intervention Type DEVICE

Eligibility Criteria

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Exclusion Criteria

1. Diabetic ketoacidosis in the past 6 months
2. Hypoglycemic seizure or loss of consciousness in the past 6 months
3. Hypoglycemia unawareness as defined by no recognition of hypoglycemia until the glucose is \<60 mg/dL and no adrenergic symptoms at glucose of 60 mg/dL (shakiness, palpitations, diaphoresis). Subjects will also be administered the Clark questionnaire for hypoglycemia unawareness. If they have a score ≥ 4, they are excluded from the study
4. Subjects requiring an intermediate or long-acting insulin (such as NPH, detemir or glargine)
5. Subjects using other anti-diabetic medications other than insulin (oral or injectable) at the time of enrollment. Any prior use of other anti-diabetic medications must be washed out for at least 8 weeks prior to enrollment.
6. Current use of other medications, which in the judgment of the investigator would be a contraindication to participation in the study
7. Subject has a medical disorder that in the judgment of the investigator will affect completion of any aspect of the protocol
8. Subject is currently participating in another investigational device or drug study within 30 days or 5-half lives of the drug.
9. Subject has a history of any cardiac or vascular disorder including, but not limited to, myocardial infarction, unstable angina, coronary artery bypass surgery, coronary artery stenting, transient ischemic attack, cerebrovascular accident, angina, congestive heart failure, arrhythmia or thromboembolic disease
10. An EKG will be obtained on subjects who are ≥ 45 years of age, or who have had a 20 year history of diabetes and are ≥ 30 years of age. Subjects will be excluded if they have an abnormal EKG consistent with coronary artery disease or increased risk of malignant arrhythmia including, but not limited to, evidence of active ischemia, prior myocardial infarction, proximal LAD critical stenosis (Wellen's sign), prolonged QT interval (\> 440 ms). Non-specific ST segment and T wave changes are not grounds for exclusion in the absence of symptoms or history of heart disease.
11. Subject has a history of hepatic disease
12. Subject has renal failure on dialysis
13. Systolic blood pressure \> 160 mmHg on screening visit
14. Diastolic blood pressure \> 90 mmHg on screening visit
15. Subjects with inadequately treated thyroid disease or celiac disease
16. Subject has a neurologic disorder that in the judgment of the investigator will affect completion of the protocol
17. Subject has received inpatient psychiatric treatment in the past 6 months
18. Subject consumes more than an average of 4 standard alcoholic drinks/day in the last 30 days
19. Subject has an active skin condition that would affect sensor placement
20. Subject is unable to avoid acetaminophen for the duration of the study
21. Subject consuming less than 100g of carbohydrates daily
Minimum Eligible Age

15 Years

Maximum Eligible Age

55 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Stanford University

OTHER

Sponsor Role collaborator

University of Colorado, Denver

OTHER

Sponsor Role collaborator

Mount Sinai Hospital, New York

OTHER

Sponsor Role collaborator

Rensselaer Polytechnic Institute

OTHER

Sponsor Role lead

Responsible Party

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B. Wayne Bequette

Professor, Department of Chemical & Biological Engineering

Responsibility Role PRINCIPAL_INVESTIGATOR

Other Identifiers

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MMPPC- outpatient-2016

Identifier Type: -

Identifier Source: org_study_id

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