Fault Detection, Zone MPC and DiAs System in T1D

NCT ID: NCT02773875

Last Updated: 2016-05-16

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

UNKNOWN

Clinical Phase

NA

Total Enrollment

20 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-05-31

Study Completion Date

2016-12-31

Brief Summary

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This is a randomized crossover study testing the efficacy of the Fault Detection algorithms using the Zone MPC algorithm and DiAs artificial pancreas platform in adult patients with type 1 diabetes. The trial will last for 6 weeks for each individual subject, with three weeks using the AP algorithm and three weeks using sensor augmented pump in a randomized order

Detailed Description

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Investigational Device:

Artificial Pancreas System with Fault Detection Algorithms: Roche Accu-Check Spirit Combo Insulin Pump, Dexcom G4P System with Share, Diabetes Assistant (DiAs) on Android phone, DiAs Web Monitoring (DWM)

\- referred to as Remote Monitoring Server, MPC control algorithm, Health Monitoring System (HMS) algorithm. Sensor and infusion set fault detection algorithms will be applied offline with data obtained from server and notifications will be sent to the clinician.

Control Arm:

Sensor-augmented insulin pump therapy: Subject will use their personal insulin pump and Dexcom G4P System with Share.

Primary Objective:

To determine the efficacy of the fault detection algorithm. The primary outcome is based on the amount of time the sensor glucose is \>250 mg/dL in the 4 hours preceding detection of the infusion set failure during sensor augmented pump therapy vs. closed-loop control with fault detection alerts.

Secondary Objectives:

To determine the effectiveness of the sensor fault detection algorithm. To determine the efficacy of the Zone MPC controller by evaluating glycemic outcomes

Number of Subjects:

There will be 20 subjects recruited: 10 at Stanford and 10 at Denver (up to 36 subjects will be enrolled to reach 20 subjects completing the study)

Diagnosis and Main Inclusion Criteria:

Adult subjects between 18 and 55 years of age inclusive, diagnosed with type 1 diabetes.

Trial Design:

This outpatient study will be conducted over 6 weeks as shown in the figure below. The 6-week period will consist of two 2-week blocks of prolonged infusion set wear with a 1-week sensor run-in period preceding each block. In each block, subjects will wear an infusion set for up to 7 days. A new infusion set will be inserted at the start of each week in the block. Following enrollment procedures, subjects will be randomized at a ratio of 1:1 to either use the AP system with fault detection algorithms (intervention) or sensor-augmented pump therapy (control) in the first block.

Conditions

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Type 1 Diabetes

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Sensor Augmented Pump (control)

Use sensor augmented pump (SAP) for 3 weeks.

Group Type NO_INTERVENTION

No interventions assigned to this group

Artificial Pancreas (intervention)

Artificial pancreas system (Algorithm + CGM + pump)--use the AP system for 3 weeks which consists of: (1) Fault detection and Zone MPC algorithm housed on the DiAs platform + (2) Roche insulin pump + (3) Dexcom CGM

Group Type EXPERIMENTAL

Artificial pancreas system (Algorithm + CGM + pump)

Intervention Type DEVICE

The AP system using fault detection algorithms will determine whether insulin infusion problems are occurring and may prevent severe hyperglycemia due to its predictive nature

Interventions

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Artificial pancreas system (Algorithm + CGM + pump)

The AP system using fault detection algorithms will determine whether insulin infusion problems are occurring and may prevent severe hyperglycemia due to its predictive nature

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. Clinical diagnosis of type 1 diabetes for at least 12 months
2. Daily insulin therapy for at least 12 months
3. Age between 18.0 to 55.0 years of age
4. Use of an insulin pump for at least 3 months
5. Subject comprehends English
6. Females of childbearing potential must use an adequate method of contraception and have a negative pregnancy test
7. Total daily insulin requirement ≥ 0.3 units/kg/day
8. Subject has an adult companion, age \> 18 years, who lives with the subject, has access to where they sleep, is willing to be in the house when the subject is sleeping and willing to attend to the subject if there are safety concerns -

Exclusion Criteria

1. Diabetic ketoacidosis in the past 6 months
2. Hypoglycemic seizure or loss of consciousness in the past 6 months
3. Subjects requiring an intermediate or long-acting insulin (such as NPH, detemir or glargine)
4. 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.
5. Current use of other medications, which in the judgment of the investigator would be a contraindication to participation in the study
6. Subject has a medical disorder that in the judgment of the investigator will affect completion of any aspect of the protocol
7. Subject is currently participating in another investigational device or drug study within 30 days or 5-half-lives of the drug.
8. 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
9. Subject has a history of hepatic disease
10. Subject has renal failure on dialysis
11. Systolic blood pressure \> 160 mmHg on screening visit
12. Diastolic blood pressure \> 90 mmHg on screening visit
13. Subjects with inadequately treated thyroid disease or celiac disease
14. Subject has a neurologic disorder that in the judgment of the investigator will affect completion of the protocol
15. Subject has received inpatient psychiatric treatment in the past 6 months
16. Subject consumes more than an average of 4 standard alcoholic drinks/day in the last 30 days
17. Subject has an active skin condition that would affect sensor placement
18. Subject is unable to avoid acetaminophen for the duration of the study
19. Current use of oral/inhaled glucocorticoids or other medications, which in the judgment of the investigator would be a contraindication to participation in the study
20. Subject is currently on beta blocker medication -
Minimum Eligible Age

18 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

Harvard University

OTHER

Sponsor Role collaborator

University of California, San Diego

OTHER

Sponsor Role collaborator

University of California, Santa Barbara

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 Associate Director of Process Technologies

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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David Maahs, MD, PhD

Role: CONTACT

Laurel Messer

Role: CONTACT

References

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Howsmon DP, Baysal N, Buckingham BA, Forlenza GP, Ly TT, Maahs DM, Marcal T, Towers L, Mauritzen E, Deshpande S, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ 3rd, Dassau E, Hahn J, Bequette BW. Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas. J Diabetes Sci Technol. 2018 May;12(3):599-607. doi: 10.1177/1932296818755173. Epub 2018 Feb 1.

Reference Type DERIVED
PMID: 29390915 (View on PubMed)

Forlenza GP, Deshpande S, Ly TT, Howsmon DP, Cameron F, Baysal N, Mauritzen E, Marcal T, Towers L, Bequette BW, Huyett LM, Pinsker JE, Gondhalekar R, Doyle FJ 3rd, Maahs DM, Buckingham BA, Dassau E. Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care. 2017 Aug;40(8):1096-1102. doi: 10.2337/dc17-0500. Epub 2017 Jun 5.

Reference Type DERIVED
PMID: 28584075 (View on PubMed)

Other Identifiers

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IDE G150122

Identifier Type: -

Identifier Source: org_study_id

NCT02506764

Identifier Type: -

Identifier Source: nct_alias

NCT02514785

Identifier Type: -

Identifier Source: nct_alias

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