Literature DB >> 33999488

A real-world study of user characteristics, safety and efficacy of open-source closed-loop systems and Medtronic 670G.

Roshell Jeyaventhan1, Geraldine Gallen2,3, Pratik Choudhary1,2,4, Sufyan Hussain1,3,5.   

Abstract

We report a real-world evaluation of the first commercially approved automated insulin delivery (AID) system, MiniMed 670G (670G), and open source-automated insulin delivery (OS-AID) systems. This was undertaken as a retrospective observational study in adults with type 1 diabetes using AID systems for 6 months or longer in a publicly funded health service using clinically validated data. Sixty-eight adults (38 670G, 30 OS-AID systems) were included. OS-AID system users were younger, had a shorter diabetes duration and a higher education status. OS-AID systems displayed a significantly better change in HbA1c (median -0.9% [-0.4%, -1.1%] vs. -0.1% [IQR -0.7%, 0.2%], P = .004) and time in range 3.9-10 mmol/L (mean 78.5%, SD ± 12.0% vs. 68.2% ± 14.7%, P = .024) compared with 670G. Both systems showed minimal hypoglycaemia, with OS-AID systems revealing significantly improved secondary outcomes of mean glucose and percentage of time more than 10 mmol/L, with a higher percentage of time of less than 3 mmol/L. OS-AID system users displayed improved glycaemic outcomes with no clinical safety concerns compared with 670G, although higher weight-adjusted insulin dose and weight gain were noted. The study highlights key differences in OS-AID system user characteristics that are important for interpreting real-world findings from recent OS-AID system studies.
© 2021 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.

Entities:  

Keywords:  DIY artificial pancreas systems; artificial pancreas systems; automated insulin delivery systems; open source-automated insulin delivery systems; type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 33999488     DOI: 10.1111/dom.14439

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  10 in total

Review 1.  Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals.

Authors:  Katarina Braune; Rayhan A Lal; Lenka Petruželková; Gary Scheiner; Per Winterdijk; Signe Schmidt; Linda Raimond; Korey K Hood; Michael C Riddell; Timothy C Skinner; Klemens Raile; Sufyan Hussain
Journal:  Lancet Diabetes Endocrinol       Date:  2021-11-13       Impact factor: 32.069

2.  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

Review 3.  Navigating Diabetes Online Communities in Clinical Practice.

Authors:  Meghan McLarney; Michelle L Litchman; Deborah Greenwood; Andjela Drincic
Journal:  J Diabetes Sci Technol       Date:  2022-02-05

4.  Qualitative Study of User Experiences with Loop, an Open-Source Automated Insulin Delivery System.

Authors:  Sakinah C Suttiratana; Jessie J Wong; Monica S Lanning; Adrienne Dunlap; Sarah J Hanes; Korey K Hood; Rayhan A Lal; Diana Naranjo
Journal:  Diabetes Technol Ther       Date:  2022-05-12       Impact factor: 7.337

5.  Open-source Web Portal for Managing Self-reported Data and Real-world Data Donation in Diabetes Research: Platform Feasibility Study.

Authors:  Drew Cooper; Tebbe Ubben; Christine Knoll; Hanne Ballhausen; Shane O'Donnell; Katarina Braune; Dana Lewis
Journal:  JMIR Diabetes       Date:  2022-03-31

6.  Association of British Clinical Diabetologists, Diabetes Technology Network UK and Association of Children's Diabetes Clinicians Survey of UK Healthcare Professional Attitudes Towards Open-Source Automated Insulin Delivery Systems.

Authors:  Thomas S J Crabtree; Pratik Choudhary; Alistair Lumb; Peter Hammond; A McLay; Fiona Campbell; Sze M Ng; Emma G Wilmot; Sufyan Hussain
Journal:  Diabetes Ther       Date:  2022-01-31       Impact factor: 2.945

7.  Use of automated insulin delivery systems in people with type 1 diabetes fasting during Ramadan: An observational study.

Authors:  Ali Aldibbiat; Ahmed Alqashami; Sufyan Hussain
Journal:  J Diabetes Investig       Date:  2021-12-15       Impact factor: 3.681

8.  Emotional and Physical Health Impact in Children and Adolescents and Their Caregivers Using Open-source Automated Insulin Delivery: Qualitative Analysis of Lived Experiences.

Authors:  Katarina Braune; Niklas Krug; Christine Knoll; Hanne Ballhausen; Axel Thieffry; Yanbing Chen; Shane O'Donnell; Klemens Raile; Bryan Cleal
Journal:  J Med Internet Res       Date:  2022-07-14       Impact factor: 7.076

Review 9.  A scoping review of Do-It-Yourself Automated Insulin Delivery system (DIY AID) use in people with type 1 diabetes.

Authors:  Amy E Morrison; Kimberley Chong; Peter A Senior; Anna Lam
Journal:  PLoS One       Date:  2022-08-11       Impact factor: 3.752

10.  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

  10 in total

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