NCT02100488

Brief Summary

Achieving near-normoglycemia has been established as the main objective for most patients with diabetes. However, postprandial glucose control is a challenging issue in everyday diabetes care. Indeed, excessive postprandial glucose excursions are the major contributors to plasma glucose (PG) variability in subjects with type 1 diabetes (T1DM). In addition, the poor reproducibility of postprandial glucose response is burdensome for patients and healthcare professionals. Automatic glucose control, the so-called artificial pancreas or closed-loop system, may represent the ideal solution for reaching the therapeutic goals in diabetic patients. Intuitively, closed-loop insulin delivery may be superior to open-loop insulin delivery due to a better compensation of the variability of subcutaneous insulin absorption and the intra-subject insulin sensitivity. However, several challenges exist to effectively realize an optimal postprandial closed-loop control of blood glucose. Indeed, the eating process induces one of the major glucose perturbations that need to be controlled by an artificial pancreas and is currently one of the main challenges found in clinical validations of the few existing prototypes of an artificial pancreas. In particular, experiments carried out with the currently used algorithms for glucose control (the so called PID and MPC) showed that closed-loop insulin delivery often tend to overcorrect hyperglycemia thus increasing the risk hypoglycemia. In this project, a rigorous clinical testing of a novel closed-loop controller ('artificial pancreas') will be carried out in T1DM patients treated with continuous subcutaneous insulin infusion (CSII). The innovative element of the controller is a safety auxiliary feedback based on sliding mode reference conditioning (SMRC), which has been demonstrated (in simulation studies) to limit over-insulinization and the resulting hypoglycemia, reducing glycaemic variability. Standardized meal test studies will be performed in T1DM subjects treated with CSII, comparing the administration of a classical bolus (open-loop study) with a controller-driven prandial insulin delivery (closed-loop study) based on continuous subcutaneous glucose monitoring (CGM). The hypothesis is that closed loop control will provide better postprandial control, especially in terms of reduction of glucose variability and incidence of hypoglycemia.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
20

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Mar 2014

Geographic Reach
1 country

2 active sites

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

March 1, 2014

Completed
26 days until next milestone

First Submitted

Initial submission to the registry

March 27, 2014

Completed
5 days until next milestone

First Posted

Study publicly available on registry

April 1, 2014

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2015

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

October 1, 2015

Completed
Last Updated

November 17, 2015

Status Verified

November 1, 2015

Enrollment Period

1.3 years

First QC Date

March 27, 2014

Last Update Submit

November 14, 2015

Conditions

Keywords

Closed-loop insulin infusionPostprandial glucose controlGlucose variability

Outcome Measures

Primary Outcomes (1)

  • Intra-subject postprandial glycemic variability

    Clinical validation of a new algorithm (glucose controller) for closed-loop control of postprandial glucose in comparison with a standard bolus (open-loop control), in type 1 diabetic subjects using insulin pump therapy. The robustness and effectiveness of the new algorithm for closed-loop glycaemic control (PID controller modified by SMRC-based external loop adjustments) will be evaluated through measurement of intra-subject postprandial glycemic variability expressed as the coefficient of variation (CV) of the area under the curve (AUC) of plasma glucose (PG) during the 8h post-prandial period (CV\_AUC-PG\_0-8h). The hypothesis is that closed-loop insulin infusion reduces postprandial glucose variability as compared with standard treatment.

    Eight-hour post-prandial period

Secondary Outcomes (1)

  • CV_AUC-PG_3-8h

    the 3-8 hour post-prandial interval

Other Outcomes (2)

  • AUC_PG_0-8h

    the 8h post-prandial period

  • Time into range

    0-8h post-prandial period

Study Arms (2)

Open-loop insulin infusion system

ACTIVE COMPARATOR

Standard Open-loop intensive insulin treatment with continuous insulin infusion (CSII). Commercially available insulin infusion systems will be used.

Other: Open-loop insulin infusion system

Closed-loop insulin infusion system

EXPERIMENTAL

Sliding Mode Reference Conditioning (SMRC) Closed-loop insulin administration. Automated insulin infusion based on subcutaneous continuous glucose monitoring (CGM). Commercially available insulin infusion systems and CGM devices will be used. However, insulin infusion will be driven by the by the software under investigation (CL4M Controls) based on blood glucose estimations from CGM.

Device: Closed-loop insulin infusion system

Interventions

Each subject will undergo two "Open-loop" and two "Closed-loop" meal tests, each one at 1-2 week intervals, thus completing the 4 experiments in about 6 weeks. The day of the experiment, a standard mixed meal test containing 60 g of carbohydrates (CHO), will be administered. On two occasions, patients will receive in a randomized order the standard insulin bolus based on the individual insulin to CHO ratio (First arm, Open-loop study). On the other two occasions they will receive a Sliding Mode Reference Conditioning (SMRC) Closed-loop insulin administration, based on subcutaneous continuous glucose monitoring (Second arm, Closed-loop study). Commercial insulin infusion systems and continuous glucose monitoring devices will be used.

Also known as: CL4M Controls
Closed-loop insulin infusion system

Standard subcutaneous insulin infusion based on the individual insulin to carbohydrate ratio. Commercial insulin infusion systems and continuous glucose monitoring devices will be used.

Open-loop insulin infusion system

Eligibility Criteria

Age18 Years - 60 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • Subjects with type 1 diabetes mellitus
  • Continuous subcutaneous insulin infusion (CSII) treatment for at least six months before Visit 1
  • Body mass index of between 18 and 30 kg/m2
  • HbA1c 6.0-8.5% at Visit 1
  • Normal laboratory values, ECG, and vital signs unless the investigator considered an abnormality to be clinically irrelevant
  • Women postmenopausal or using contraception judged by the investigator to be adequate (e.g., oral contraceptives, intra-uterine device or surgical treatment), or with a negative negative urine pregnancy tests at visits 1, 3 and 5

You may not qualify if:

  • Pregnancy and lactation
  • History of hypersensitivity to the study medications or to drugs with similar chemical structures
  • Hypoglycaemia unawareness
  • Progressive fatal diseases
  • History of drug or alcohol abuse
  • History of positive HIV or hepatitis B or C test
  • Impaired hepatic function, as shown by, but not limited to, SGPT or SGOT of more than twice the upper limit of the normal range at visit 1
  • Impaired renal function, as shown by, but not limited to, serum creatinine \> 1.5 mg/dL at visit 1
  • Clinically relevant microvascular (pre-proliferative and proliferative retinopathy and macroalbuminuria), cardiovascular, hepatic, neurologic, endocrine or other major systemic diseases other than T1DM which could hinder implementation of the clinical study protocol or interpretation of the study results
  • Pre-planned surgery during the study
  • Blood donation of more than 500 ml during the past three months for men, or during the past six months for women
  • Mental condition rendering the subject unable to understand the nature, scope and possible consequences of the study
  • Subject unlikely to comply with clinical study protocol, e.g., uncooperative attitude, inability to return for follow-up visits, or poor likelihood of completing the study
  • Receipt of an experimental drug or use of an experimental device during the past 30 days.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Hospital Clínico Universitario de Valencia

Valencia, Valencia, 46010, Spain

Location

Hospital Clínic i Universitari de Barcelona

Barcelona, 08036, Spain

Location

Related Publications (2)

  • Revert A, Garelli F, Pico J, De Battista H, Rossetti P, Vehi J, Bondia J. Safety auxiliary feedback element for the artificial pancreas in type 1 diabetes. IEEE Trans Biomed Eng. 2013 Aug;60(8):2113-22. doi: 10.1109/TBME.2013.2247602. Epub 2013 Feb 15.

    PMID: 23428611BACKGROUND
  • Rossetti P, Quiros C, Moscardo V, Comas A, Gimenez M, Ampudia-Blasco FJ, Leon F, Montaser E, Conget I, Bondia J, Vehi J. Closed-Loop Control of Postprandial Glycemia Using an Insulin-on-Board Limitation Through Continuous Action on Glucose Target. Diabetes Technol Ther. 2017 Jun;19(6):355-362. doi: 10.1089/dia.2016.0443. Epub 2017 May 1.

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Condition Hierarchy (Ancestors)

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

Study Officials

  • Francisco Javier Ampudia-Blasco, MD, PhD

    Department of Medicine, Division of Endocrinology and Nutrition, Clinic University Hospital of Valencia - Fundación INCLIVA, University of Valencia, Valencia, Spain.

    PRINCIPAL INVESTIGATOR
  • Ignacio Conget, MD, PhD

    Unidad de Diabetes. Servicio de Endocrinología y Nutrición, Hospital Clínic i Universitari de Barcelona, Barcelona, Spain

    PRINCIPAL INVESTIGATOR
  • Jorge Bondia, PhD

    University Institute of Control Systems and Industrial Computing (ai2 Institute), Polytechnic University of Valencia, Valencia, Spain

    STUDY DIRECTOR
  • Josep Vehí, PhD

    Institute of Informatics and Applications, University of Girona, Girona, Spain

    STUDY DIRECTOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
TREATMENT
Intervention Model
CROSSOVER
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

March 27, 2014

First Posted

April 1, 2014

Study Start

March 1, 2014

Primary Completion

July 1, 2015

Study Completion

October 1, 2015

Last Updated

November 17, 2015

Record last verified: 2015-11

Locations