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Fault Detection, Zone MPC and DiAs System in T1D (ZoneMPC)

Primary Purpose

Type 1 Diabetes

Status
Unknown status
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
Artificial pancreas system (Algorithm + CGM + pump)
Sponsored by
Rensselaer Polytechnic Institute
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Type 1 Diabetes focused on measuring artificial pancreas

Eligibility Criteria

18 Years - 55 Years (Adult)All SexesDoes not accept healthy volunteers

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 -

Sites / Locations

    Arms of the Study

    Arm 1

    Arm 2

    Arm Type

    No Intervention

    Experimental

    Arm Label

    Sensor Augmented Pump (control)

    Artificial Pancreas (intervention)

    Arm Description

    Use sensor augmented pump (SAP) for 3 weeks.

    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

    Outcomes

    Primary Outcome Measures

    Amount of time sensor glucose levels are >250 mg/dl
    Amount of time sensor glucose levels are >250 mg/dl in the control arm versus the experimental arm

    Secondary Outcome Measures

    Effectiveness of sensor fault detection algorithm as defined by % of sensor failures caught by the system
    Effectiveness of sensor fault detection algorithm as defined by % of sensor failures caught by the system
    Mean sensor glucose values
    mean sensor glucose values
    Percent of time in range between 70-180 mg/dl
    Percent of time in range between 70-180 mg/dl

    Full Information

    First Posted
    May 11, 2016
    Last Updated
    May 13, 2016
    Sponsor
    Rensselaer Polytechnic Institute
    Collaborators
    Stanford University, University of Colorado, Denver, Harvard University, University of California, San Diego, University of California, Santa Barbara
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    1. Study Identification

    Unique Protocol Identification Number
    NCT02773875
    Brief Title
    Fault Detection, Zone MPC and DiAs System in T1D
    Acronym
    ZoneMPC
    Official Title
    A Randomized Crossover Study to Evaluate the Efficacy of Fault Detection Algorithms Using the ZoneMPC Algorithm and DiAs System in Adult Subjects With Type 1 Diabetes in the Outpatient Setting
    Study Type
    Interventional

    2. Study Status

    Record Verification Date
    May 2016
    Overall Recruitment Status
    Unknown status
    Study Start Date
    May 2016 (undefined)
    Primary Completion Date
    November 2016 (Anticipated)
    Study Completion Date
    December 2016 (Anticipated)

    3. Sponsor/Collaborators

    Responsible Party, by Official Title
    Principal Investigator
    Name of the Sponsor
    Rensselaer Polytechnic Institute
    Collaborators
    Stanford University, University of Colorado, Denver, Harvard University, University of California, San Diego, University of California, Santa Barbara

    4. Oversight

    Data Monitoring Committee
    No

    5. Study Description

    Brief Summary
    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
    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.

    6. Conditions and Keywords

    Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
    Type 1 Diabetes
    Keywords
    artificial pancreas

    7. Study Design

    Primary Purpose
    Treatment
    Study Phase
    Not Applicable
    Interventional Study Model
    Crossover Assignment
    Masking
    None (Open Label)
    Allocation
    Randomized
    Enrollment
    20 (Anticipated)

    8. Arms, Groups, and Interventions

    Arm Title
    Sensor Augmented Pump (control)
    Arm Type
    No Intervention
    Arm Description
    Use sensor augmented pump (SAP) for 3 weeks.
    Arm Title
    Artificial Pancreas (intervention)
    Arm Type
    Experimental
    Arm Description
    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
    Intervention Type
    Device
    Intervention Name(s)
    Artificial pancreas system (Algorithm + CGM + pump)
    Intervention Description
    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
    Primary Outcome Measure Information:
    Title
    Amount of time sensor glucose levels are >250 mg/dl
    Description
    Amount of time sensor glucose levels are >250 mg/dl in the control arm versus the experimental arm
    Time Frame
    4 hours after insulin infusion set failure
    Secondary Outcome Measure Information:
    Title
    Effectiveness of sensor fault detection algorithm as defined by % of sensor failures caught by the system
    Description
    Effectiveness of sensor fault detection algorithm as defined by % of sensor failures caught by the system
    Time Frame
    During 2 week intervention period
    Title
    Mean sensor glucose values
    Description
    mean sensor glucose values
    Time Frame
    2 week intervention period versus 2 week control period
    Title
    Percent of time in range between 70-180 mg/dl
    Description
    Percent of time in range between 70-180 mg/dl
    Time Frame
    2 week intervention period versus 2 week control period

    10. Eligibility

    Sex
    All
    Minimum Age & Unit of Time
    18 Years
    Maximum Age & Unit of Time
    55 Years
    Accepts Healthy Volunteers
    No
    Eligibility Criteria
    Inclusion Criteria: Clinical diagnosis of type 1 diabetes for at least 12 months Daily insulin therapy for at least 12 months Age between 18.0 to 55.0 years of age Use of an insulin pump for at least 3 months Subject comprehends English Females of childbearing potential must use an adequate method of contraception and have a negative pregnancy test Total daily insulin requirement ≥ 0.3 units/kg/day 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: Diabetic ketoacidosis in the past 6 months Hypoglycemic seizure or loss of consciousness in the past 6 months Subjects requiring an intermediate or long-acting insulin (such as NPH, detemir or glargine) 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. Current use of other medications, which in the judgment of the investigator would be a contraindication to participation in the study Subject has a medical disorder that in the judgment of the investigator will affect completion of any aspect of the protocol Subject is currently participating in another investigational device or drug study within 30 days or 5-half-lives of the drug. 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 Subject has a history of hepatic disease Subject has renal failure on dialysis Systolic blood pressure > 160 mmHg on screening visit Diastolic blood pressure > 90 mmHg on screening visit Subjects with inadequately treated thyroid disease or celiac disease Subject has a neurologic disorder that in the judgment of the investigator will affect completion of the protocol Subject has received inpatient psychiatric treatment in the past 6 months Subject consumes more than an average of 4 standard alcoholic drinks/day in the last 30 days Subject has an active skin condition that would affect sensor placement Subject is unable to avoid acetaminophen for the duration of the study 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 Subject is currently on beta blocker medication -
    Central Contact Person:
    First Name & Middle Initial & Last Name or Official Title & Degree
    David Maahs, MD, PhD
    Email
    David.Maahs@ucdenver.edu
    First Name & Middle Initial & Last Name or Official Title & Degree
    Laurel Messer
    Email
    Laurel.Messer@ucdenver.edu

    12. IPD Sharing Statement

    Plan to Share IPD
    No
    Citations:
    PubMed Identifier
    29390915
    Citation
    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.
    Results Reference
    derived
    PubMed Identifier
    28584075
    Citation
    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. Erratum In: Diabetes Care. 2017 Sep 8;:
    Results Reference
    derived

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    Fault Detection, Zone MPC and DiAs System in T1D

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