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COMPLETED
NCT02438189
NA

Reduction of Nocturnal Hypoglycemia and Hyperglycemia in the Home Using Predictive Algorithms

Sponsor: Jaeb Center for Health Research

View on ClinicalTrials.gov

Summary

Objective: to gain experience with in-home use of a modified algorithm that will dose insulin to minimize projected hyperglycemia overnight in addition to suspending the pump if hypoglycemia is projected overnight and to obtain feasibility, safety, and initial efficacy data. Study Design: randomized controlled trial, with randomization on a night level within subject. Major Eligibility Criteria: clinical diagnosis of type 1 diabetes, daily insulin therapy for at least one year and an insulin infusion pump for at least 6 months; 15.0 to \<46.0 years of age; HbA1c \< 10.0%; no DKA in last 6 months; no hypoglycemic seizure or loss of consciousness in last 6 months; Living with a significant other or family member ("companion") committed to participating in all study activities, and being present and available to provide assistance when the system is being used at night. Sample Size: 30 subjects. Study Duration and Visit Schedule: duration approximately 3 months, with preliminary run-in activities followed by up to 90 days spent in clinical trial phase of study; clinic visits at enrollment, following CGM and system assessment run-in phases, at start of clinical trial phase, at 21-day point of clinical trial phase, and after 42 nights of successful system use. Major Efficacy Outcomes: * Primary: time in range (70-180 mg/dl, 3.9-10.0 mmol/L) overnight. * Secondary: time spent in hypoglycemia (≤70 mg/dl, 3.9 mmol/L) and time spent in hyperglycemia (\>180 mg/dl, 10.0 mmol/L) overnight. Major Safety Outcomes: CGM measures of hypo- and hyperglycemia, including morning blood glucose and mean overnight sensor glucose; adverse events including severe hypoglycemia and diabetic ketoacidosis.

Official title: Reduction of Nocturnal Hypoglycemia and Hyperglycemia in the Home Using Predictive Algorithms, Pump Suspension, and Insulin Dosing

Key Details

Gender

All

Age Range

15 Years - 45 Years

Study Type

INTERVENTIONAL

Enrollment

33

Start Date

2015-06

Completion Date

2016-03

Last Updated

2026-08-11

Healthy Volunteers

No

Conditions

Interventions

DEVICE

Predictive Hyperglycemia Minimization Algorithm

A predictive hyperglycemia minimization algorithm designed to deliver automated correction boluses when the estimated glucose is predicted to exceed 140 mg/dL

DEVICE

Predictive Hypoglycemia Minimization Algorithm

A predictive hypoglycemia minimization designed to suspend the pump if the current sensor glucose is ≤70 mg/dL at any time or \<230 mg/dL and predicted to fall below 80 mg/dL in the next 50 minutes

Locations (3)

Stanford University

Stanford, California, United States

Barbara Davis Center for Childhood Diabetes

Aurora, Colorado, United States

St. Joseph's Health Care

London, Ontario, Canada