Feasibility of Outpatient Fully Integrated Closed-Loop Control

Author:

Kovatchev Boris P.1,Renard Eric2,Cobelli Claudio3,Zisser Howard C.4,Keith-Hynes Patrick1,Anderson Stacey M.1,Brown Sue A.1,Chernavvsky Daniel R.1,Breton Marc D.1,Farret Anne2,Pelletier Marie-Josée2,Place Jérôme2,Bruttomesso Daniela3,Del Favero Simone3,Visentin Roberto3,Filippi Alessio3,Scotton Rachele3,Avogaro Angelo3,Doyle Francis J.5

Affiliation:

1. Center for Diabetes Technology, Department of Psychiatry and Neurobehavioral Sciences, and Department of Medicine, Division of Endocrinology, University of Virginia, Charlottesville, Virginia

2. Montpellier University Hospital, Department of Endocrinology, Diabetes, and Nutrition, INSERM Clinical Investigation Centre 1001, Institute of Functional Genomics, CNRS UMR 5203, INSERM U661, University of Montpellier 1, Montpellier, France

3. Department of Information Engineering and Department of Internal Medicine, Unit of Metabolic Disease, University of Padova, Padova, Italy

4. Sansum Diabetes Research Institute, Santa Barbara, California

5. University of California Santa Barbara, Santa Barbara, California

Abstract

OBJECTIVE To evaluate the feasibility of a wearable artificial pancreas system, the Diabetes Assistant (DiAs), which uses a smart phone as a closed-loop control platform. RESEARCH DESIGN AND METHODS Twenty patients with type 1 diabetes were enrolled at the Universities of Padova, Montpellier, and Virginia and at Sansum Diabetes Research Institute. Each trial continued for 42 h. The United States studies were conducted entirely in outpatient setting (e.g., hotel or guest house); studies in Italy and France were hybrid hospital–hotel admissions. A continuous glucose monitoring/pump system (Dexcom Seven Plus/Omnipod) was placed on the subject and was connected to DiAs. The patient operated the system via the DiAs user interface in open-loop mode (first 14 h of study), switching to closed-loop for the remaining 28 h. Study personnel monitored remotely via 3G or WiFi connection to DiAs and were available on site for assistance. RESULTS The total duration of proper system communication functioning was 807.5 h (274 h in open-loop and 533.5 h in closed-loop), which represented 97.7% of the total possible time from admission to discharge. This exceeded the predetermined primary end point of 80% system functionality. CONCLUSIONS This study demonstrated that a contemporary smart phone is capable of running outpatient closed-loop control and introduced a prototype system (DiAs) for further investigation. Following this proof of concept, future steps should include equipping insulin pumps and sensors with wireless capabilities, as well as studies focusing on control efficacy and patient-oriented clinical outcomes.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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