Literature DB >> 23448393

The "Glucositter" overnight automated closed loop system for type 1 diabetes: a randomized crossover trial.

Revital Nimri1, Thomas Danne, Olga Kordonouri, Eran Atlas, Natasa Bratina, Torban Biester, Magdalena Avbelj, Shahar Miller, Ido Muller, Moshe Phillip, Tadej Battelino.   

Abstract

BACKGROUND: Tight glucose control is needed to prevent long-term diabetes complications; this is hindered by the risk of hypoglycemia, especially at night.
OBJECTIVE: To assess the safety and efficacy of the closed-loop MD-Logic Artificial Pancreas (MDLAP), controlling nocturnal glucose levels in patients with type 1 diabetes mellitus (T1DM). RESEARCH DESIGN AND METHODS: This was a randomized, multicenter, multinational, crossover trial conducted in Slovenia, Germany, and Israel. Twelve patients with T1DM (age 23.8 ± 15.6 yr; duration of diabetes 13.5 ± 11.9 yr; A1c 8.1 ± 0.8%, mean ±  SD) were randomly assigned to participate in two sequential overnight sessions: one using continuous subcutaneous insulin infusion (CSII) and the other, closed-loop insulin delivery by MDLAP. The primary outcome was the number of hypoglycemic events below 63 mg/dL. Endpoints analyses were based on sensor glucose readings.
RESULTS: Three events of nocturnal hypoglycemia occurred during CSII and none during the closed-loop control (p = 0.18). The percentage of time spent in the near normal range of 63-140 mg/dL was significantly higher in the overnight closed-loop sessions [76% (54-85)] than during CSII therapy [29% (11-44)] [p = 0.02, median (interquartile range)]. The mean overnight glucose level was reduced by 36 mg/dL with closed-loop insulin delivery (p = 0.02) with a significantly less glucose variability when compared with the CSII nights (p < 0.001).
CONCLUSION: The results of this study demonstrate the ability of the MDLAP to safely improve overnight glucose control without increased risk of hypoglycemia in patients with T1DM at three different national, geographic, and clinical centers (ClinicalTrials.gov number, NCT 01238406).
© 2013 John Wiley & Sons A/S.

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Year:  2013        PMID: 23448393     DOI: 10.1111/pedi.12025

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  22 in total

1.  Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time.

Authors:  Kamuran Turksoy; Thiago Marques Luz Paulino; Dessi P Zaharieva; Loren Yavelberg; Veronica Jamnik; Michael C Riddell; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2015-10-06

2.  Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement.

Authors:  Stephen T Bartlett; James F Markmann; Paul Johnson; Olle Korsgren; Bernhard J Hering; David Scharp; Thomas W H Kay; Jonathan Bromberg; Jon S Odorico; Gordon C Weir; Nancy Bridges; Raja Kandaswamy; Peter Stock; Peter Friend; Mitsukazu Gotoh; David K C Cooper; Chung-Gyu Park; Phillip OʼConnell; Cherie Stabler; Shinichi Matsumoto; Barbara Ludwig; Pratik Choudhary; Boris Kovatchev; Michael R Rickels; Megan Sykes; Kathryn Wood; Kristy Kraemer; Albert Hwa; Edward Stanley; Camillo Ricordi; Mark Zimmerman; Julia Greenstein; Eduard Montanya; Timo Otonkoski
Journal:  Transplantation       Date:  2016-02       Impact factor: 4.939

3.  Clinical results of an automated artificial pancreas using technosphere inhaled insulin to mimic first-phase insulin secretion.

Authors:  Howard Zisser; Eyal Dassau; Justin J Lee; Rebecca A Harvey; Wendy Bevier; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2015-04-21

Review 4.  The artificial pancreas: is it important to understand how the β cell controls blood glucose?

Authors:  Garry M Steil; Gerold M Grodsky
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

5.  Multicenter closed-loop insulin delivery study points to challenges for keeping blood glucose in a safe range by a control algorithm in adults and adolescents with type 1 diabetes from various sites.

Authors:  Howard Zisser; Eric Renard; Boris Kovatchev; Claudio Cobelli; Angelo Avogaro; Revital Nimri; Lalo Magni; Bruce A Buckingham; H Peter Chase; Francis J Doyle; John Lum; Peter Calhoun; Craig Kollman; Eyal Dassau; Anne Farret; Jerome Place; Marc Breton; Stacey M Anderson; Chiara Dalla Man; Simone Del Favero; Daniela Bruttomesso; Alessio Filippi; Rachele Scotton; Moshe Phillip; Eran Atlas; Ido Muller; Shahar Miller; Chiara Toffanin; Davide Martino Raimondo; Giuseppe De Nicolao; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2014-07-08       Impact factor: 6.118

6.  Artificial pancreas using a personalized rule-based controller achieves overnight normoglycemia in patients with type 1 diabetes.

Authors:  Ismael Capel; Mercedes Rigla; Gema García-Sáez; Agustín Rodríguez-Herrero; Belén Pons; David Subías; Fernando García-García; Maria Gallach; Montserrat Aguilar; Carmen Pérez-Gandía; Enrique J Gómez; Assumpta Caixàs; M Elena Hernando
Journal:  Diabetes Technol Ther       Date:  2013-10-23       Impact factor: 6.118

Review 7.  Diabetes Technology: Monitoring, Analytics, and Optimal Control.

Authors:  Boris Kovatchev
Journal:  Cold Spring Harb Perspect Med       Date:  2019-06-03       Impact factor: 6.915

8.  Mitigating Meal-Related Glycemic Excursions in an Insulin-Sparing Manner During Closed-Loop Insulin Delivery: The Beneficial Effects of Adjunctive Pramlintide and Liraglutide.

Authors:  Jennifer L Sherr; Neha S Patel; Camille I Michaud; Miladys M Palau-Collazo; Michelle A Van Name; William V Tamborlane; Eda Cengiz; Lori R Carria; Eileen M Tichy; Stuart A Weinzimer
Journal:  Diabetes Care       Date:  2016-05-05       Impact factor: 19.112

9.  Home Use of Day-and-Night Hybrid Closed-Loop Insulin Delivery in Suboptimally Controlled Adolescents With Type 1 Diabetes: A 3-Week, Free-Living, Randomized Crossover Trial.

Authors:  Martin Tauschmann; Janet M Allen; Malgorzata E Wilinska; Hood Thabit; Carlo L Acerini; David B Dunger; Roman Hovorka
Journal:  Diabetes Care       Date:  2016-09-09       Impact factor: 19.112

10.  Evaluating the Performance of a Novel Embedded Closed-loop System.

Authors:  Lalantha Leelarathna; Hood Thabit; Janet M Allen; Marianna Nodale; Malgorzata E Wilinska; Kevin Powell; Stephen Lane; Mark L Evans; Roman Hovorka
Journal:  J Diabetes Sci Technol       Date:  2014-03-24
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