NCT01434030

Brief Summary

Development of a bio-behavioral stochastic model-predictive controller (SMPC) for use as an artificial pancreas in T1DM requires fundamental behavioral and physiology studies, as well as translational modeling and engineering development. In order to be successful, closed-loop control in Type 1 Diabetes Mellitus (T1DM) must adapt to individual physiologic characteristics and to the behavioral profile of each person. An essential part of this adaptation is biosystem (patient) observation. The investigators propose to lay the foundation for a closed-loop control system which will include algorithmic observers of patients' behavior and metabolic state.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
57

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Apr 2010

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

April 1, 2010

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2011

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 1, 2011

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

September 12, 2011

Completed
2 days until next milestone

First Posted

Study publicly available on registry

September 14, 2011

Completed
2.9 years until next milestone

Results Posted

Study results publicly available

August 25, 2014

Completed
Last Updated

September 4, 2014

Status Verified

August 1, 2014

Enrollment Period

1.2 years

First QC Date

September 12, 2011

Results QC Date

August 8, 2014

Last Update Submit

August 25, 2014

Conditions

Outcome Measures

Primary Outcomes (1)

  • Desire to Receive Advice From Personal Glucose Advisory System (PGASystem)

    The categories below indicate types of information that could be received from a PGASystem and the percentage of participants who stated that they would like to receive this type of information from a PGASystem.

    2 hour focus group

Secondary Outcomes (1)

  • Willingness to Follow PGASystem Advice

    2 hour focus group

Study Arms (1)

Behavioral Observer

OTHER

Focus group methodology was chosen to obtain qualitative and quantitative data on participants' desire to use glucose advisory systems to manage their diabetes, their concerns about and desired features and functions of these systems, and their perceived confidence with behavioral event recording. At the outset of each interview, the personalized glucose advisory system (PGASystem) was described to participants as a system composed of a continuous glucose monitor (CGM) device and insulin pump, into which they would input daily information about their insulin, food, and physical activity. The system would then use their data to create personalized algorithms and advice about various aspects of their diabetes management, such as suggestions regarding bolus and basal rate dosing. The interview consisted of open-ended, multiple choice, and dichotomous questions.

Behavioral: Focus Group

Interventions

Focus GroupBEHAVIORAL

Focus group methodology was chosen to obtain qualitative and quantitative data on participants' desire to use glucose advisory systems to manage their diabetes, their concerns about and desired features and functions of these systems, and their perceived confidence with behavioral event recording. At the outset of each interview, the personalized glucose advisory system (PGASystem) was described to participants as a system composed of a continuous glucose monitor (CGM) device and insulin pump, into which they would input daily information about their insulin, food, and physical activity. The system would then use their data to create personalized algorithms and advice about various aspects of their diabetes management, such as suggestions regarding bolus and basal rate dosing. The interview consisted of open-ended, multiple choice, and dichotomous questions.

Behavioral Observer

Eligibility Criteria

Age21 Years - 65 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Type 1 Diabetes Mellitus (as defined by the American Diabetes Association criteria or judgment of a physician) for at least two years prior to the enrollment in the study.
  • Use of an insulin pump to treat their diabetes for at least six months.
  • Actively using a bolus calculator function with the current insulin pump with pre-defined parameters for glucose goal, carbohydrate ratio, and insulin sensitivity factor.
  • Willingness to participate in the study for 6 weeks wearing a DexCom Seven® Plus CGM and OmniPod® insulin pump, performing self-monitoring blood glucose (SMBG) with the integral FreeStyle glucometer 4 times per day (before meals and bedtime) in addition to SMBG required to calibrate the CGM or to validate a low or high BG alarm (\<70 mg/dl or \>300 mg/dl), and recording behavioral events by tagging SMGB values throughout the study with meal and activity descriptors.
  • Willingness to avoid consumption of acetaminophen-containing products for the duration of the study.
  • Demonstration of proper mental status and cognition for completion of the study.

You may not qualify if:

  • Pregnancy
  • Psychiatric disorders that would interfere with study tasks (e.g. mental retardation, substance abuse)
  • History of a systemic deep tissue infection with methicillin-resistant staph aureus or Candida albicans
  • Known bleeding diathesis or dyscrasia
  • Active enrollment in another clinical trial
  • Medical requirement for acetaminophen-containing products during the study period for more than 1 week
  • Medical condition that would make operating a CGM or insulin pump difficult (e.g. blindness, severe arthritis, extensive scar tissue at sites where devices are inserted).
  • Need for magnetic resonance imaging (MRI)/magnetic resonance angiogram (MRA) during the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Virginia - Center for Diabetes Technology

Charlottesville, Virginia, 22901, United States

Location

Related Publications (1)

  • Shepard JA, Gonder-Frederick L, Vajda K, Kovatchev B. Patient perspectives on personalized glucose advisory systems for type 1 diabetes management. Diabetes Technol Ther. 2012 Oct;14(10):858-61. doi: 10.1089/dia.2012.0122. Epub 2012 Aug 2.

MeSH Terms

Conditions

Diabetes Mellitus, Type 1

Interventions

Focus Groups

Condition Hierarchy (Ancestors)

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

Intervention Hierarchy (Ancestors)

Data CollectionEpidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationPublic HealthEnvironment and Public Health

Results Point of Contact

Title
Boris P Kovatchev, Ph.D.
Organization
University of Virginia

Study Officials

  • Boris P Kovatchev, Ph.D.

    University of Virginia

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

September 12, 2011

First Posted

September 14, 2011

Study Start

April 1, 2010

Primary Completion

June 1, 2011

Study Completion

June 1, 2011

Last Updated

September 4, 2014

Results First Posted

August 25, 2014

Record last verified: 2014-08

Locations