Literature DB >> 34218717

How It Started, How It Is Going: The Future of Artificial Pancreas Systems (Automated Insulin Delivery Systems).

Dana Lewis1.   

Abstract

Originally, the future of automated insulin delivery (AID) systems, or artificial pancreas systems (APS), was having them at all, in any form. We've learned in the last half dozen years that the future of all artificial pancreas systems holds higher time in range, less work required to manage automated insulin delivery systems to improve quality of life, and the ability to input critical information back into the system itself. The data and user experience stories make it clear: APS works. APS are an improvement over other diabetes therapy methods when they are made available, accessible, and affordable. Understanding the unmet expectations of current users of first generation APS technology may also aid in the development of improved technology and user experiences for the future of APS.

Entities:  

Keywords:  AID; APS; artificial pancreas; automated insulin delivery; closed loop; hybrid closed loop

Mesh:

Substances:

Year:  2021        PMID: 34218717      PMCID: PMC8655301          DOI: 10.1177/19322968211027558

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  17 in total

1.  Expectations and Attitudes of Individuals With Type 1 Diabetes After Using a Hybrid Closed Loop System.

Authors:  Esti Iturralde; Molly L Tanenbaum; Sarah J Hanes; Sakinah C Suttiratana; Jodie M Ambrosino; Trang T Ly; David M Maahs; Diana Naranjo; Natalie Walders-Abramson; Stuart A Weinzimer; Bruce A Buckingham; Korey K Hood
Journal:  Diabetes Educ       Date:  2017-04       Impact factor: 2.140

2.  Real-World Use of Open Source Artificial Pancreas Systems.

Authors:  Dana Lewis; Scott Leibrand
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

3.  Glycaemic control in individuals with type 1 diabetes using an open source artificial pancreas system (OpenAPS).

Authors:  Andreas Melmer; Thomas Züger; Dana M Lewis; Scott Leibrand; Christoph Stettler; Markus Laimer
Journal:  Diabetes Obes Metab       Date:  2019-07-05       Impact factor: 6.577

4.  Setting Expectations for Successful Artificial Pancreas/Hybrid Closed Loop/Automated Insulin Delivery Adoption.

Authors:  Dana Lewis
Journal:  J Diabetes Sci Technol       Date:  2017-09-18

5.  Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.

Authors:  Rayhan A Lal; Laya Ekhlaspour; Korey Hood; Bruce Buckingham
Journal:  Endocr Rev       Date:  2019-12-01       Impact factor: 19.871

6.  Use of a do-it-yourself artificial pancreas system is associated with better glucose management and higher quality of life among adults with type 1 diabetes.

Authors:  Zekai Wu; Sihui Luo; Xueying Zheng; Yan Bi; Wen Xu; Jinhua Yan; Daizhi Yang; Jianping Weng
Journal:  Ther Adv Endocrinol Metab       Date:  2020-08-25       Impact factor: 3.565

7.  Excellent Glycemic Control Maintained by Open-Source Hybrid Closed-Loop AndroidAPS During and After Sustained Physical Activity.

Authors:  Lenka Petruzelkova; Jan Soupal; Veronika Plasova; Pavlina Jiranova; Vit Neuman; Lukas Plachy; Stepanka Pruhova; Zdenek Sumnik; Barbora Obermannova
Journal:  Diabetes Technol Ther       Date:  2018-10-04       Impact factor: 6.118

8.  Multi-Timescale Rhythmicity of Blood Glucose and Insulin Delivery Reveals Key Advantages of Hybrid Closed Loop Therapy.

Authors:  Azure D Grant; Dana M Lewis; Lance J Kriegsfeld
Journal:  J Diabetes Sci Technol       Date:  2021-03-10

Review 9.  Artificial pancreas treatment for outpatients with type 1 diabetes: systematic review and meta-analysis.

Authors:  Eleni Bekiari; Konstantinos Kitsios; Hood Thabit; Martin Tauschmann; Eleni Athanasiadou; Thomas Karagiannis; Anna-Bettina Haidich; Roman Hovorka; Apostolos Tsapas
Journal:  BMJ       Date:  2018-04-18

10.  Automated Insulin Delivery in Real Life (AID-IRL): Real-World User Perspectives on Commercial AID.

Authors:  Dana Lewis
Journal:  J Diabetes Sci Technol       Date:  2020-09-16
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  4 in total

1.  Large-Scale Data Analysis for Glucose Variability Outcomes with Open-Source Automated Insulin Delivery Systems.

Authors:  Arsalan Shahid; Dana M Lewis
Journal:  Nutrients       Date:  2022-05-02       Impact factor: 6.706

2.  Quantifying Input Behaviors That Influence Clinical Outcomes in Diabetes and Other Chronic Illnesses.

Authors:  Dana M Lewis
Journal:  J Diabetes Sci Technol       Date:  2021-12-31

3.  Understanding the needs of people aging with type 1 diabetes: a user-focused research study with prototype diabetes advance directive and setting the stage for future research.

Authors:  Dana M Lewis; Joanne Milo; Jhea Espares; Jessie Lin; Jodie Li; Denise Tang; Heidi Rataj; Eliah Aronoff-Spencer
Journal:  J Diabetes Metab Disord       Date:  2022-05-19

4.  Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes.

Authors:  Dana M Lewis; Sufyan Hussain
Journal:  Diabetes Ther       Date:  2022-08-01       Impact factor: 3.595

  4 in total

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