MPC Versus PID for Closed Loop Insulin Delivery

NCT ID: NCT02438670

Last Updated: 2016-07-22

Basic Information

• Recruitment Status: COMPLETED
• Clinical Phase: NA
• Total Enrollment: 20 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2015-05-31
• Study Completion Date: 2015-09-30

Brief Summary

The goal of this proposed study is to compare use of a PID (Proportional-Integral-Derivative) controller versus an MPC (Model Predictive Control) controller algorithm in an artificial pancreas system, all other components and study design being equal. The study design, power calculation and endpoints were developed based on the results of an initial feasibility study (ClinicalTrials.gov Identifier: NCT01987206) that has already been completed.

Detailed Description

This randomized crossover study consists of an evaluation of either type of control algorithm (MPC or PID) as a part of the Artificial Pancreas (AP) device during two periods of 27.5-hour closed-loop control in a minimally supervised setting (outpatient research area at the William Sansum Diabetes Center, Santa Barbara, CA) separated by a minimum of 5 days and a maximum of 2 weeks. The 27.5-hour period includes: 2 announced meals (dinner and breakfast of 65g and 50g CHO respectively) preceded with a dose of rapid-acting insulin equivalent to 100% bolus based on each subject's Insulin to Carbohydrate (I:C) ratio and 1 unannounced meal (lunch of 65g carbohydrates, same meal content as dinner); complete night from 12:00 am to 7:00 am. The goal is to demonstrate that the AP device is able to maintain the subject blood glucose within a safe range at all times.

Conditions

Type 1 Diabetes Mellitus

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: CROSSOVER
• Primary Study Purpose: TREATMENT
• Blinding Strategy: NONE

Study Groups

Open-Loop Care

The subjects Open-Loop Care for the 24-hour period prior to each study sessions assessed for time in the target range 70-180 mg/dL, and frequency of hypoglycemia and hyperglycemia as assessed by CGM.

Group Type: NO_INTERVENTION

No interventions assigned to this group

PID algorithm with HMS

Subjects will be treated with closed-loop care for 27.5h using a proportional-integral-derivative (PID) control algorithm, incorporating a personalized model of glucose-insulin dynamics.

The health monitoring system (HMS) predicts impending hypoglycemia, and will be used in both experimental arms as an important safety feature of the device.

Group Type: EXPERIMENTAL

PID control algorithm

Intervention Type: DEVICE

MPC algorithm with HMS

Subjects will be treated with closed-loop care for 27.5h using a model predictive control (MPC) control algorithm with HMS, using the identical model as in the first experimental arm.

The health monitoring system (HMS) predicts impending hypoglycemia, and will be used in both experimental arms as an important safety feature of the device.

Group Type: EXPERIMENTAL

MPC control algorithm

Intervention Type: DEVICE

Interventions

PID control algorithm

Intervention Type: DEVICE

MPC control algorithm

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Clinical diagnosis of type 1 diabetes for at least one year and using an insulin pump for at least 6 months with commercially available rapid acting insulin.
• The diagnosis of type 1 diabetes is based on the investigator's judgment; C peptide level and antibody determinations are not needed.
• Age 21 to 65 years
• For females, not currently known to be pregnant or nursing
• HbA1c between 5 to 10%, as measured with DCA2000 or equivalent device
• Willing to perform the calibration of the study CGMs using a fingerstick only and willing to follow instructions for insulin pump and CGM wear.
• Willing to use the study CGM and study insulin pump during closed-loop.
• Able to and agrees to avoid the following medication starting 24 hours before sensor wear through completion of the close loop study visit: acetaminophen, prednisone, and pseudoephedrine.
• An understanding of and willingness to follow the protocol and sign the informed consent.

Exclusion Criteria

• Exhibit hypoglycemia unawareness.
• Indications of cardiac arrhythmia.
• Pregnancy (as determined by a positive blood pregnancy test performed in females of childbearing capacity during screening visit and urine test at time of admission for in-patient visit) or nursing mother.
• Diabetic ketoacidosis in the past 6 months prior to enrollment requiring emergency room visit or hospitalization
• Severe hypoglycemia resulting in seizure or loss of consciousness in the 12 months prior to enrollment
• Current treatment for a seizure disorder; Subjects with a history of seizures may be included in the study if they receive written clearance from their neurologist
• Active infection
• A known medical condition that in the judgment of the investigator might interfere with the completion of the protocol such as cognitive deficit.
• Mental incapacity, unwillingness or language barriers precluding adequate understanding or co-operation, including subjects not able to read or write.
• Coronary artery disease or heart failure.
• Subjects with a history of coronary artery disease may be included in the study if they receive written clearance from their cardiologist
• Presence of a known adrenal disorder
• Active gastroparesis
• If on antihypertensive, thyroid, anti-depressant or lipid lowering medication, lack of stability on the medication for the past 2 months prior to enrollment in the study
• Uncontrolled thyroid disease; Adequately treated thyroid disease and celiac disease do not exclude subjects from enrollment
• Abuse of alcohol
• Current use of a beta blocker medication
• Laboratory results:

Hematocrit < 30% or >55% A1C > 10% Abnormal liver or renal function (Transaminase >2 times the upper limit of normal, Creatinine> 1.5 mg/dL) Labs drawn at screening visit or within one month prior to screening (for other purposes) will suffice for enrollment purposes related to hematocrit

• Subject has skin conditions that, in the determination of the investigator, would preclude wearing the study devices (infusion set and sensor), in the abdomen. Examples include but are not limited to: psoriasis, burns, scaring, eczema, tattoos, and significant hypertrophy at sites of device wear; any known allergy to medical adhesives.
• Currently on long-term treatment using prednisone. If subject had been on short term treatment of prednisone, defer enrollment until underlying condition and prednisone treatment have resolved.
• Allergy to study drug, food or other study material.
• Clinically significant screening ECG, physical examination, laboratory test, or vital sign abnormality.
• Exposure to any investigational drug within 30 days.
• History of malignancy within the 5 years before screening (other than basal cell carcinoma).
• Currently smoking or discontinued smoking (including cigarettes, cigars, pipes) over the past 6 months.
• Current participation in another investigational trial.

• Minimum Eligible Age: 21 Years
• Maximum Eligible Age: 65 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

University of California, Santa Barbara

OTHER

Sponsor Role: collaborator

Sansum Diabetes Research Institute

OTHER

Sponsor Role: lead

Responsible Party

Responsibility Role: SPONSOR

Principal Investigators

Jordan E Pinsker, MD

Role: PRINCIPAL_INVESTIGATOR

Sansum Diabetes Research Institute

Eyal Dassau, PhD

Role: PRINCIPAL_INVESTIGATOR

University of California, Santa Barbara

Francis J Doyle III, PhD

Role: PRINCIPAL_INVESTIGATOR

University of California, Santa Barbara

Locations

William Sansum Diabetes Center

Santa Barbara, California, United States

Countries

United States

References

Pinsker JE, Lee JB, Dassau E, Seborg DE, Bradley PK, Gondhalekar R, Bevier WC, Huyett L, Zisser HC, Doyle FJ 3rd. Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas. Diabetes Care. 2016 Jul;39(7):1135-42. doi: 10.2337/dc15-2344. Epub 2016 Jun 11.

Reference Type: RESULT

PMID: 27289127 (View on PubMed)

Other Identifiers

13-68u

Identifier Type: -

Identifier Source: org_study_id