Literature DB >> 18690909

The future of continuous glucose monitoring: closed loop.

Roman Hovorka1.   

Abstract

Improvements in accuracy of real-time continuous glucose monitoring facilitate the development of closed-loop systems consisting of a continuous glucose monitor, a control algorithm, and an insulin pump. Closed-loop systems can be divided according to the way meal delivery is handled as "fully closed-loop" or "closed-loop" with meal announcement systems. Depending on the subcutaneous (sc) or intravenous (iv) body interface, three major types of closed-loop systems are recognised, (i) sc sensing and sc delivery system, (ii) the iv sensing and intraperitoneal delivery system, and (iii) the iv glucose sensing and iv insulin delivery system. Given the current research focus, this review centres on the sc-sc closed-loop approach, which has the greatest potential for a near-future commercial exploitation as recognised by the JDRF Artificial Pancreas Project. Other approaches utilising intraperitoneal or intravenous sensing/delivery are also discussed. Closed-loop systems may revolutionise diabetes management but their introduction is likely to be gradual starting from simpler applications such as hypoglycaemia prevention or overnight glucose control progressing to more complex approaches such as 24/7 glucose control. The most important question is what is achievable with existing technologies and when the first generation of closed-loop systems will find its way into clinical practice.

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Year:  2008        PMID: 18690909     DOI: 10.2174/157339908785294479

Source DB:  PubMed          Journal:  Curr Diabetes Rev        ISSN: 1573-3998


  18 in total

1.  Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor system.

Authors:  Mattia Zanon; Giovanni Sparacino; Andrea Facchinetti; Michela Riz; Mark S Talary; Roland E Suri; Andreas Caduff; Claudio Cobelli
Journal:  Med Biol Eng Comput       Date:  2012-06-22       Impact factor: 2.602

Review 2.  Can technological solutions for diabetes replace islet cell function?

Authors:  Justin M Gregory; Daniel J Moore
Journal:  Organogenesis       Date:  2011-01-01       Impact factor: 2.500

3.  Combining basal-bolus insulin infusion for tight postprandial glucose control: an in silico evaluation in adults, children, and adolescents.

Authors:  Ana Revert; Paolo Rossetti; Remei Calm; Josep Vehí; Jorge Bondia
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

4.  Overnight closed-loop insulin delivery with model predictive control: assessment of hypoglycemia and hyperglycemia risk using simulation studies.

Authors:  Malgorzata E Wilinska; Erwin S Budiman; Marc B Taub; Daniela Elleri; Janet M Allen; Carlo L Acerini; David B Dunger; Roman Hovorka
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

5.  Quest for the artificial pancreas: combining technology with treatment.

Authors:  Rebecca A Harvey; Youqing Wang; Benyamin Grosman; Matthew W Percival; Wendy Bevier; Daniel A Finan; Howard Zisser; Dale E Seborg; Lois Jovanovic; Francis J Doyle; Eyal Dassau
Journal:  IEEE Eng Med Biol Mag       Date:  2010 Mar-Apr

6.  Diabetes: Models, Signals, and Control.

Authors:  Claudio Cobelli; Chiara Dalla Man; Giovanni Sparacino; Lalo Magni; Giuseppe De Nicolao; Boris P Kovatchev
Journal:  IEEE Rev Biomed Eng       Date:  2009-01-01

7.  Multisite Study of an Implanted Continuous Glucose Sensor Over 90 Days in Patients With Diabetes Mellitus.

Authors:  Andrew Dehennis; Mark A Mortellaro; Sorin Ioacara
Journal:  J Diabetes Sci Technol       Date:  2015-07-29

8.  Personalized State-space Modeling of Glucose Dynamics for Type 1 Diabetes Using Continuously Monitored Glucose, Insulin Dose, and Meal Intake: An Extended Kalman Filter Approach.

Authors:  Qian Wang; Peter Molenaar; Saurabh Harsh; Kenneth Freeman; Jinyu Xie; Carol Gold; Mike Rovine; Jan Ulbrecht
Journal:  J Diabetes Sci Technol       Date:  2014-03-24

9.  Subjecting acute ischemic stroke patients to continuous tube feeding and an intensive computerized protocol establishes tight glycemic control.

Authors:  N D Kruyt; G J Biessels; T M Vriesendorp; J H Devries; J B L Hoekstra; P W Elbers; L J Kappelle; P Portegies; M Vermeulen; Y B W E M Roos
Journal:  Neurocrit Care       Date:  2009-05-27       Impact factor: 3.210

10.  Telemedical artificial pancreas: PARIS (Pancreas Artificial Telemedico Inteligente) research project.

Authors:  Alberto de Leiva; María Elena Hernando; M Rigla; I Capel; E Brugués; B Pons; L Erdozain; A Prados; R Corcoy; E J Gómez; G García-Sáez; I Martínez-Sarriegui; A Rodríguez-Herrero; C Pérez-Gandía; F del Pozo
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 19.112

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