NCT02065895

Brief Summary

The purpose of this study is to test the ability of an advanced external Physiologic Insulin Delivery (ePID) algorithm (a step by step process used to develop a solution to a problem) to get acceptable meal responses over a range of gain. Gain is defined as how much insulin is given in response to a change in a patient's glucose level. This study also examines the effectiveness of the external Physiologic Insulin Delivery (ePID) closed-loop insulin delivery computer software. The investigators would like to assess whether fasting target levels can be achieved as the closed-loop gain increases or decreases, and to evaluate the system's ability to produce an acceptable breakfast meal response.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
8

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Dec 2013

Geographic Reach
1 country

1 active site

Status
completed

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

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

December 1, 2013

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

February 7, 2014

Completed
12 days until next milestone

First Posted

Study publicly available on registry

February 19, 2014

Completed
1.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2015

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2015

Completed
3 years until next milestone

Results Posted

Study results publicly available

April 6, 2018

Completed
Last Updated

May 17, 2018

Status Verified

May 1, 2018

Enrollment Period

1.3 years

First QC Date

February 7, 2014

Results QC Date

August 23, 2017

Last Update Submit

May 14, 2018

Conditions

Keywords

Physiologic Insulin Delivery (PID)Closed LoopSensorInsulin sensitivity

Outcome Measures

Primary Outcomes (1)

  • Glucose Area Under the Curve (AUC) Breakfast

    Glucose Area Under the Curve (AUC) Breakfast defines the total exposure to glucose during breakfast. Breakfast is typically considered the most difficult meal to control; low AUC is desirable.This outcome measure was analyzed for each of the three calibration error values (high error, no error and low error).

    On day #1, day #2 and day #3 (each day could be 24 hours to 7 days apart from prior one, and completed within 6 week period) 8:00 AM to 2:00 PM on day following admission, with samples obtained every 10-15 minutes, for each sequence of calibration errors

Secondary Outcomes (1)

  • Peak and Nadir Postprandial Glucose Concentration

    On day #1, day #2 and day #3 (each day could be 24 hours to 7 days apart from prior one, and completed within 6 week period) 8:00 AM to 12:00 PM on day following admission, with samples obtained every 10-15 minutes, for each sequence of calibration errors

Other Outcomes (1)

  • Nighttime Time-in-target 5.0-8.33mmol/l (Controller Set-point Plus and Minus 15 mg/dL)

    On day #1, day #2 and day #3 (each day could be 24 hours to 7 days apart from prior one, and completed within 6 week period) 12:00 AM to 6:00 AM on day following admission, with samples obtained every 10-15 minutes, for each sequence of calibration errors

Study Arms (6)

HIGH error, LOW error, NO error

EXPERIMENTAL

Subjects were randomized to receive overnight and breakfast closed-loop glucose control glucose on three occasions: first with glucose-value-used-for-control higher than blood glucose (HIGH error), then second with glucose-value-used-for-control lower than blood glucose (LOW error), then third with glucose-value-used-for-control equal blood glucose (NO error).

Device: HIGH errorDevice: NO errorDevice: LOW error

HIGH error, NO error, LOW error

EXPERIMENTAL

Subjects were randomized to receive overnight and breakfast closed-loop glucose control glucose on three occasions: first with glucose-value-used-for-control higher than blood glucose (HIGH error), then second with glucose-value-used-for-control equal blood glucose (NO error), then third with glucose-value-used-for-control lower than blood glucose (LOW error).

Device: HIGH errorDevice: NO errorDevice: LOW error

NO error, HIGH error, LOW error

EXPERIMENTAL

Subjects were randomized to receive overnight and breakfast closed-loop glucose control glucose on three occasions: first with glucose-value-used-for-control equal blood glucose (NO error), then second with glucose-values-used-for-control higher than blood glucose (HIGH error), then third with glucose-value-used-for-control lower than blood glucose (LOW error).

Device: HIGH errorDevice: NO errorDevice: LOW error

NO error, LOW error, HIGH error

EXPERIMENTAL

Subjects were randomized to receive overnight and breakfast closed-loop glucose control glucose on three occasions: first with glucose-value-used-for-control equal blood glucose (NO error), then second with glucose-value-used-for-control lower than blood glucose (LOW error), then third with glucose-value-used-for-control higher than blood glucose (HIGH error).

Device: HIGH errorDevice: NO errorDevice: LOW error

LOW error, NO error, HIGH error

EXPERIMENTAL

Subjects were randomized to receive overnight and breakfast closed-loop glucose control glucose on three occasions: first with with glucose-value-used-for-control lower than blood glucose (LOW error), then second with glucose-value-used-for-control equal blood glucose (NO error), then third with glucose-value-used-for-control higher than blood glucose (HIGH error).

Device: HIGH errorDevice: NO errorDevice: LOW error

LOW error, HIGH error, NO error

EXPERIMENTAL

Subjects were randomized to receive overnight and breakfast closed-loop glucose control glucose on three occasions: first with glucose-value-used-for-control lower than blood glucose (LOW error), then second with glucose-value-used-for-control equal blood glucose (NO error), then third glucose-value-used-for-control higher than blood glucose (HIGH error),

Device: HIGH errorDevice: NO errorDevice: LOW error

Interventions

Overnight and breakfast closed-loop control were performed using a target glucose of 120 mg/dL but with the glucose-value-used-for-control equal to 1.33 times the true glucose value (analogous to higher gain lower target).

HIGH error, LOW error, NO errorHIGH error, NO error, LOW errorLOW error, HIGH error, NO errorLOW error, NO error, HIGH errorNO error, HIGH error, LOW errorNO error, LOW error, HIGH error
NO errorDEVICE

Overnight and breakfast closed-loop control were performed using a target glucose of 120 mg/dL and glucose-value-used-for-control equal to the true glucose value.

HIGH error, LOW error, NO errorHIGH error, NO error, LOW errorLOW error, HIGH error, NO errorLOW error, NO error, HIGH errorNO error, HIGH error, LOW errorNO error, LOW error, HIGH error
LOW errorDEVICE

Overnight and breakfast closed-loop control were performed using a target glucose of 120 mg/dL but with the glucose-value-used-for-control equal to 0.8 times the true glucose value (analogous to lower gain higher target).

HIGH error, LOW error, NO errorHIGH error, NO error, LOW errorLOW error, HIGH error, NO errorLOW error, NO error, HIGH errorNO error, HIGH error, LOW errorNO error, LOW error, HIGH error

Eligibility Criteria

Age18 Years - 75 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Type 1 diabetes for \> 3 years
  • Manage diabetes using a continuous glucose monitor and continuous subcutaneous insulin infusion pump
  • Non obese (BMI \< 30)
  • Aged 18 - 75 years old
  • HbA1c \< 8 %

You may not qualify if:

  • renal or hepatic failure
  • cancer or lymphoma
  • Malabsorption or malnourishment
  • Hypercortisolism
  • Alcoholism or drug abuse
  • Anemia (hematocrit \< 36 in females and \<40 in males)
  • Eating disorder
  • Dietary restrictions
  • Acetaminophen allergy
  • Chronic acetaminophen use
  • Glucocorticoid therapy
  • History of gastroparesis
  • Use of Beta blockers

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Joslin Diabetes Center

Boston, Massachusetts, 02215, United States

Location

Related Publications (8)

  • Steil GM, Panteleon AE, Rebrin K. Closed-loop insulin delivery-the path to physiological glucose control. Adv Drug Deliv Rev. 2004 Feb 10;56(2):125-44. doi: 10.1016/j.addr.2003.08.011.

    PMID: 14741112BACKGROUND
  • Steil GM, Rebrin K, Janowski R, Darwin C, Saad MF. Modeling beta-cell insulin secretion--implications for closed-loop glucose homeostasis. Diabetes Technol Ther. 2003;5(6):953-64. doi: 10.1089/152091503322640999.

    PMID: 14709197BACKGROUND
  • Steil GM, Rebrin K, Darwin C, Hariri F, Saad MF. Feasibility of automating insulin delivery for the treatment of type 1 diabetes. Diabetes. 2006 Dec;55(12):3344-50. doi: 10.2337/db06-0419.

    PMID: 17130478BACKGROUND
  • Weinzimer SA, Steil GM, Swan KL, Dziura J, Kurtz N, Tamborlane WV. Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas. Diabetes Care. 2008 May;31(5):934-9. doi: 10.2337/dc07-1967. Epub 2008 Feb 5.

    PMID: 18252903BACKGROUND
  • Steil GM, Palerm CC, Kurtz N, Voskanyan G, Roy A, Paz S, Kandeel FR. The effect of insulin feedback on closed loop glucose control. J Clin Endocrinol Metab. 2011 May;96(5):1402-8. doi: 10.1210/jc.2010-2578. Epub 2011 Mar 2.

    PMID: 21367930BACKGROUND
  • Loutseiko M, Voskanyan G, Keenan DB, Steil GM. Closed-loop insulin delivery utilizing pole placement to compensate for delays in subcutaneous insulin delivery. J Diabetes Sci Technol. 2011 Nov 1;5(6):1342-51. doi: 10.1177/193229681100500605.

    PMID: 22226251BACKGROUND
  • Buchanan TA, Xiang AH, Peters RK, Kjos SL, Berkowitz K, Marroquin A, Goico J, Ochoa C, Azen SP. Response of pancreatic beta-cells to improved insulin sensitivity in women at high risk for type 2 diabetes. Diabetes. 2000 May;49(5):782-8. doi: 10.2337/diabetes.49.5.782.

    PMID: 10905487BACKGROUND
  • Panteleon AE, Loutseiko M, Steil GM, Rebrin K. Evaluation of the effect of gain on the meal response of an automated closed-loop insulin delivery system. Diabetes. 2006 Jul;55(7):1995-2000. doi: 10.2337/db05-1346.

    PMID: 16804068BACKGROUND

MeSH Terms

Conditions

Diabetes Mellitus, Type 1Insulin Resistance

Interventions

Medication Errors

Condition Hierarchy (Ancestors)

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

Intervention Hierarchy (Ancestors)

Drug TherapyTherapeuticsMedical ErrorsHealth ServicesHealth Care Facilities Workforce and Services

Limitations and Caveats

In this study sensor calibration errors were simulated using a YSI reference glucose values; however, this may not fully capture errors that are due to delays between plasma and the interstitial fluid glucose value measured by a glucose sensor.

Results Point of Contact

Title
Garry M. Steil, PhD
Organization
Boston Children's Hospital

Study Officials

  • Howard Wolpert, MD

    Joslin Diabetes Center

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
No
Restrictive Agreement
No

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
BASIC SCIENCE
Intervention Model
CROSSOVER
Model Details: Study subjects are studied under closed-loop control on three occasions: once with the glucose values used for control equal to blood glucose (NO error), once with values 33% higher than blood glucose (HIGH error), and once with values 20% lower than blood glucose (LOW error). The six different sequences of these three exposures then comprise the six arms of this crossover study.
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 7, 2014

First Posted

February 19, 2014

Study Start

December 1, 2013

Primary Completion

April 1, 2015

Study Completion

April 1, 2015

Last Updated

May 17, 2018

Results First Posted

April 6, 2018

Record last verified: 2018-05

Data Sharing

IPD Sharing
Will not share

Locations