Literature DB >> 26784131

Continuous Glucose Monitoring, Future Products, and Update on Worldwide Artificial Pancreas Projects.

Jort Kropff1, J Hans DeVries1.   

Abstract

The development of accurate and easy-to-use continuous glucose monitoring (CGM) improved diabetes treatment by providing additional temporal information on glycemia and glucose trends to patient and physician. Although CGM enables users to lower their average glucose level without an increased incidence of hypoglycemia, this comes at the price of additional patient effort. Automation of insulin administration, also known as closed-loop (CL) or artificial pancreas treatment, has the promise to reduce patient effort and improve glycemic control. CGM data serve as the conditional input for insulin automation devices. The first commercial product for partial automation of insulin administration used insulin delivery shutoff at a predefined glucose level. These systems showed a reduction in hypoglycemia. Insulin-only CL devices show increased time spent in euglycemia and a reduction of hypo- and hyperglycemia. Improved glycemic control, coinciding with a minor decrease in hemoglobin A1c level, was confirmed in recent long-term home studies investigating these devices, paving the way for pivotal studies for commercialization of the artificial pancreas. Although the first results from dual-hormone CL systems are promising, because of increased cost of consumables of these systems, long-term head-to-head studies will have to prove superiority over insulin-only approaches. Now CL glucose control for daily use might finally become reality. Improved continuous glucose sensing technology, miniaturization of electrical devices, and development of algorithms were key in making this possible. Clinical adoption challenges, including device usability and reimbursement, need to be addressed. Time will tell for which patient groups CL systems will be reimbursed and whether these devices can deliver the promise that they hold.

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Year:  2016        PMID: 26784131      PMCID: PMC4717501          DOI: 10.1089/dia.2015.0345

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  48 in total

1.  Evaluating the clinical accuracy of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.

Authors:  Francesco Valgimigli; Fausto Lucarelli; Cosimo Scuffi; Sara Morandi; Iolanda Sposato
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Day and Night Closed-Loop Control Using the Integrated Medtronic Hybrid Closed-Loop System in Type 1 Diabetes at Diabetes Camp.

Authors:  Trang T Ly; Anirban Roy; Benyamin Grosman; John Shin; Alex Campbell; Salman Monirabbasi; Bradley Liang; Rie von Eyben; Satya Shanmugham; Paula Clinton; Bruce A Buckingham
Journal:  Diabetes Care       Date:  2015-06-06       Impact factor: 19.112

3.  Comparison of dual-hormone artificial pancreas, single-hormone artificial pancreas, and conventional insulin pump therapy for glycaemic control in patients with type 1 diabetes: an open-label randomised controlled crossover trial.

Authors:  Ahmad Haidar; Laurent Legault; Virginie Messier; Tina Maria Mitre; Catherine Leroux; Rémi Rabasa-Lhoret
Journal:  Lancet Diabetes Endocrinol       Date:  2014-11-27       Impact factor: 32.069

4.  Epidemiology of severe hypoglycemia in the diabetes control and complications trial. The DCCT Research Group.

Authors: 
Journal:  Am J Med       Date:  1991-04       Impact factor: 4.965

5.  Multinight "bedside" closed-loop control for patients with type 1 diabetes.

Authors:  Sue A Brown; Boris P Kovatchev; Marc D Breton; Stacey M Anderson; Patrick Keith-Hynes; Stephen D Patek; Boyi Jiang; Najib Ben Brahim; Paul Vereshchetin; Daniela Bruttomesso; Angelo Avogaro; Simone Del Favero; Federico Boscari; Silvia Galasso; Roberto Visentin; Marco Monaro; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2015-01-16       Impact factor: 6.118

6.  Feasibility of a portable bihormonal closed-loop system to control glucose excursions at home under free-living conditions for 48 hours.

Authors:  Arianne C van Bon; Yoeri M Luijf; Rob Koebrugge; Robin Koops; Joost B L Hoekstra; J Hans DeVries
Journal:  Diabetes Technol Ther       Date:  2013-11-13       Impact factor: 6.118

7.  Threshold-based insulin-pump interruption for reduction of hypoglycemia.

Authors:  Richard M Bergenstal; David C Klonoff; Satish K Garg; Bruce W Bode; Melissa Meredith; Robert H Slover; Andrew J Ahmann; John B Welsh; Scott W Lee; Francine R Kaufman
Journal:  N Engl J Med       Date:  2013-06-22       Impact factor: 91.245

8.  Effect of pramlintide on prandial glycemic excursions during closed-loop control in adolescents and young adults with type 1 diabetes.

Authors:  Stuart A Weinzimer; Jennifer L Sherr; Eda Cengiz; Grace Kim; Jessica L Ruiz; Lori Carria; Gayane Voskanyan; Anirban Roy; William V Tamborlane
Journal:  Diabetes Care       Date:  2012-07-18       Impact factor: 19.112

9.  Glycaemic control in type 1 diabetes during real time continuous glucose monitoring compared with self monitoring of blood glucose: meta-analysis of randomised controlled trials using individual patient data.

Authors:  John C Pickup; Suzanne C Freeman; Alex J Sutton
Journal:  BMJ       Date:  2011-07-07

10.  Home use of closed-loop insulin delivery for overnight glucose control in adults with type 1 diabetes: a 4-week, multicentre, randomised crossover study.

Authors:  Hood Thabit; Alexandra Lubina-Solomon; Marietta Stadler; Lalantha Leelarathna; Emma Walkinshaw; Andrew Pernet; Janet M Allen; Ahmed Iqbal; Pratik Choudhary; Kavita Kumareswaran; Marianna Nodale; Chloe Nisbet; Malgorzata E Wilinska; Katharine D Barnard; David B Dunger; Simon R Heller; Stephanie A Amiel; Mark L Evans; Roman Hovorka
Journal:  Lancet Diabetes Endocrinol       Date:  2014-06-16       Impact factor: 32.069

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  26 in total

1.  Health Care Provider Knowledge and Perceptions of FDA-Approved and Do-It-Yourself Automated Insulin Delivery.

Authors:  James A Murray; Margaret F Clayton; Michelle L Litchman
Journal:  J Diabetes Sci Technol       Date:  2019-12-26

2.  A Clinical Guide to Advanced Diabetes Devices and Closed-Loop Systems Using the CARES Paradigm.

Authors:  Laurel H Messer; Cari Berget; Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2019-05-29       Impact factor: 6.118

3.  Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial.

Authors:  Gregory P Forlenza; Sunil Deshpande; Trang T Ly; Daniel P Howsmon; Faye Cameron; Nihat Baysal; Eric Mauritzen; Tatiana Marcal; Lindsey Towers; B Wayne Bequette; Lauren M Huyett; Jordan E Pinsker; Ravi Gondhalekar; Francis J Doyle; David M Maahs; Bruce A Buckingham; Eyal Dassau
Journal:  Diabetes Care       Date:  2017-06-05       Impact factor: 19.112

4.  The Future of Continuous Glucose Monitoring.

Authors:  Satish K Garg; Halis K Akturk
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

5.  Artificial Pancreas in Young Children.

Authors:  Rebecca A Ohman-Hanson; Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

6.  The Development and Psychometric Validation of the Diabetes Impact and Device Satisfaction Scale for Individuals with Type 1 Diabetes.

Authors:  Michelle L Manning; Harsimran Singh; Keaton Stoner; Steph Habif
Journal:  J Diabetes Sci Technol       Date:  2020-02-06

7.  Information and communication technology enabling partnership in person-centred diabetes management: building a theoretical framework from an inductive case study in The Netherlands.

Authors:  Sabine E Wildevuur; Lianne Wl Simonse; Peter Groenewegen; Ab Klink
Journal:  BMJ Open       Date:  2019-06-16       Impact factor: 2.692

8.  Ongoing Debate About Models for Artificial Pancreas Systems and In Silico Studies.

Authors:  Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2018-03       Impact factor: 6.118

Review 9.  Impact of CGM on the Management of Hypoglycemia Problems: Overview and Secondary Analysis of the HypoDE Study.

Authors:  Norbert Hermanns; Lutz Heinemann; Guido Freckmann; Delia Waldenmaier; Dominic Ehrmann
Journal:  J Diabetes Sci Technol       Date:  2019-03-06

10.  A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance.

Authors:  Stamatina Zavitsanou; Joon Bok Lee; Jordan E Pinsker; Mei Mei Church; Francis J Doyle; Eyal Dassau
Journal:  J Diabetes Sci Technol       Date:  2017-10-16
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