Literature DB >> 29279252

Automated blood glucose control in type 1 diabetes: A review of progress and challenges.

Arthur Bertachi1, Charrise M Ramkissoon2, Jorge Bondia3, Josep Vehí4.   

Abstract

Since the 2000s, research teams worldwide have been working to develop closed-loop (CL) systems able to automatically control blood glucose (BG) levels in patients with type 1 diabetes. This emerging technology is known as artificial pancreas (AP), and its first commercial version just arrived in the market. The main objective of this paper is to present an extensive review of the clinical trials conducted since 2011, which tested various implementations of the AP for different durations under varying conditions. A comprehensive table that contains key information from the selected publications is provided, and the main challenges in AP development and the mitigation strategies used are discussed. The development timelines for different AP systems are also included, highlighting the main evolutions over the clinical trials for each system.
Copyright © 2017 SEEN y SED. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Artificial pancreas; Automated insulin delivery; Closed-loop glucose control; Control de glucosa en lazo cerrado; Diabetes mellitus tipo 1; Infusión automática de insulina; Páncreas artificial; Type 1 diabetes mellitus

Mesh:

Substances:

Year:  2017        PMID: 29279252     DOI: 10.1016/j.endinu.2017.10.011

Source DB:  PubMed          Journal:  Endocrinol Diabetes Nutr (Engl Ed)        ISSN: 2530-0180            Impact factor:   1.417


  10 in total

Review 1.  Artificial Pancreas Systems and Physical Activity in Patients with Type 1 Diabetes: Challenges, Adopted Approaches, and Future Perspectives.

Authors:  Sémah Tagougui; Nadine Taleb; Joséphine Molvau; Élisabeth Nguyen; Marie Raffray; Rémi Rabasa-Lhoret
Journal:  J Diabetes Sci Technol       Date:  2019-08-13

2.  A Disposable Tear Glucose Biosensor-Part 5: Improvements in Reagents and Tear Sampling Component.

Authors:  Chi En Lin; Yuka Ito; Anna Deng; Jared Johns; Daniel Matloff; Curtiss B Cook; Koji Sode; Jeffrey T La Belle
Journal:  J Diabetes Sci Technol       Date:  2018-04-18

3.  Neutral Nonenzymatic Glucose Biosensors Based on Electrochemically Deposited Pt/Au Nanoalloy Electrodes.

Authors:  Fang-Yu Lin; Pei-Yuan Lee; Tien-Fu Chu; Chang-I Peng; Gou-Jen Wang
Journal:  Int J Nanomedicine       Date:  2021-08-16

Review 4.  Developing Insulin Delivery Devices with Glucose Responsiveness.

Authors:  Zejun Wang; Jinqiang Wang; Anna R Kahkoska; John B Buse; Zhen Gu
Journal:  Trends Pharmacol Sci       Date:  2020-11-26       Impact factor: 14.819

Review 5.  Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

Authors:  Ivan Contreras; Josep Vehi
Journal:  J Med Internet Res       Date:  2018-05-30       Impact factor: 5.428

Review 6.  Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications.

Authors:  Giacomo Cappon; Martina Vettoretti; Giovanni Sparacino; Andrea Facchinetti
Journal:  Diabetes Metab J       Date:  2019-08       Impact factor: 5.376

7.  Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime.

Authors:  Martina Vettoretti; Cristina Battocchio; Giovanni Sparacino; Andrea Facchinetti
Journal:  Sensors (Basel)       Date:  2019-12-03       Impact factor: 3.576

Review 8.  A review of biomarkers in the context of type 1 diabetes: Biological sensing for enhanced glucose control.

Authors:  Kelilah L Wolkowicz; Eleonora M Aiello; Eva Vargas; Hazhir Teymourian; Farshad Tehrani; Joseph Wang; Jordan E Pinsker; Francis J Doyle; Mary-Elizabeth Patti; Lori M Laffel; Eyal Dassau
Journal:  Bioeng Transl Med       Date:  2020-12-09

Review 9.  Fault Tolerant Strategies for Automated Insulin Delivery Considering the Human Component: Current and Future Perspectives.

Authors:  Aleix Beneyto; B Wayne Bequette; Josep Vehi
Journal:  J Diabetes Sci Technol       Date:  2021-07-21

10.  Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus.

Authors:  Cifha Crecil Dias; Surekha Kamath; Sudha Vidyasagar
Journal:  IET Syst Biol       Date:  2020-06       Impact factor: 1.615

  10 in total

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