Development of Algorithms for a Hypoglycemic Prevention Alarm: Closed Loop Study

NCT00884611 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2018-02-28

Study results available
· View outcomes & findings →

Summary

This research study, Development of Algorithms for a Hypoglycemic Prevention Alarm, is being conducted at Stanford University Medical Center and the University of Colorado Barbara Davis Center. It is paid for by the Juvenile Diabetes Research Foundation.

The purpose of doing this research study is to understand the best way to stop an insulin infusion pump from delivering insulin to prevent a subject from having hypoglycemia. Nocturnal hypoglycemia is a common problem with type 1 diabetes. This is a pilot study to evaluate the safety of a system consisting of an insulin pump and continuous glucose monitor communicating wirelessly with a bedside computer running an algorithm that temporarily suspends insulin delivery when hypoglycemia is predicted in a home setting.

Conditions

  • Type 1 Diabetes Mellitus

Interventions

DEVICE

Predictive Low Glucose Suspend Algorithm ON

The algorithm uses a Kalman filter-based model to predict whether the sensor glucose level will fall below 80 mg/dL within a given time period and suspends the insulin pump if this event is predicted.

DEVICE

Predictive Low Glucose Suspend Algorithm OFF

Sponsors & Collaborators

Principal Investigators

  • Bruce A. Buckingham · Stanford University

Study Design

Allocation
NA
Purpose
TREATMENT
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
12 Years
Max Age
46 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2007-05-31
Primary Completion
2011-07-31
Completion
2011-08-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00884611 on ClinicalTrials.gov