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Assessment of a New Closed-loop Algorithm in Type 1 Diabetes (Saddle Point Model Predictive Control : SP-MPC) (PPA)

NCT02061488 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 10

Last updated 2023-05-24

No results posted yet for this study

Summary

The purpose of the study is to assess a new closed-loop algorithm in type 1 diabetes (Saddle Point Model Predictive Control : SP-MPC)

Conditions

Interventions

OTHER

open-loop night

During the open-loop night the patient is using his insulin pump as usual

OTHER

closed-loop night

During the closed-loop night glucose values measured by the sensor are collected every 15 minutes. The data are entered into the SP-MPC controler that calculate the insulin dose to be delivered. A diabetologist validates the insulin dose before the infusion (manually bolus infusion)

Sponsors & Collaborators

  • Rennes University Hospital

    lead OTHER

Principal Investigators

  • Isabelle Guilhem · Rennes University Hospital

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2014-03-31
Primary Completion
2014-07-31
Completion
2014-07-31

Countries

  • France

Study Locations

More Related Trials

Entities

Diseases

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 NCT02061488 on ClinicalTrials.gov