Literature DB >> 31183929

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

Andreas Melmer1, Thomas Züger1, Dana M Lewis2, Scott Leibrand2, Christoph Stettler1, Markus Laimer1.   

Abstract

Open source artificial pancreas systems (OpenAPS) have gained considerable interest in the diabetes community. We analyzed continuous glucose monitoring (CGM) records of 80 OpenAPS users with type 1 diabetes (T1D). A total of 19 495 days (53.4 years) of CGM records were available. Mean glucose was 7.6 ± 1.1 mmol/L, time in range 3.9-10 mmol/L was 77.5 ± 10.5%, <3.9 mmol/L was 4.3 ± 3.6%, <3.0 mmol/L was 1.3 ± 1.9%, >10 mmol/L was 18.2 ± 11.0% and > 13.9 mmol/L was 4.1 ± 4.0%, respectively. In 34 OpenAPS users, additional CGM records were obtained while using sensor-augmented pump therapy (SAP). After changing from SAP to OpenAPS, lower mean glucose (-0.6 ± 0.7; P < 0.0001), lower estimated HbA1c (-0.4 ± 0.5%; P < 0.0001), higher time in range 3.9-10 mmol/L (+9.3 ± 9.5%; P < 0.0001), less time < 3.0 mmol/L (-0.7 ± 2.2%; P = 0.0171), lower coefficient of variation (-2.4 ± 5.8; P = 0.0198) and lower mean of daily differences (-0.6 ± 0.9 mmol/L; P = 0.0005) was observed. Glycaemic control using OpenAPS was comparable with results of more rigorously developed and tested AP systems. However, OpenAPS was used by a highly selective, motivated and technology-adept cohort, despite not being approved for the treatment of individuals with T1D.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  artificial pancreas; glycaemic control; glycaemic variability; open source; type 1 diabetes

Mesh:

Substances:

Year:  2019        PMID: 31183929     DOI: 10.1111/dom.13810

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


  23 in total

1.  Do-It-Yourself Artificial Pancreas Systems: A Review of the Emerging Evidence and Insights for Healthcare Professionals.

Authors:  Peter Jennings; Sufyan Hussain
Journal:  J Diabetes Sci Technol       Date:  2019-12-17

2.  Patient-Driven Diabetes Technologies: Sentiment and Personas of the #WeAreNotWaiting and #OpenAPS Movements.

Authors:  Michelle L Litchman; Heather R Walker; Caroline Fitzgerald; Mariana Gomez Hoyos; Dana Lewis; Perry M Gee
Journal:  J Diabetes Sci Technol       Date:  2020-07-04

3.  An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms.

Authors:  Ryan Armiger; Monika Reddy; Nick S Oliver; Pantelis Georgiou; Pau Herrero
Journal:  J Diabetes Sci Technol       Date:  2021-12-03

Review 4.  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

5.  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 6.  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

Review 7.  [What is the current state of the artificial pancreas in diabetes care?]

Authors:  M Dimou; M Laimer; C Stettler; L Bally
Journal:  Internist (Berl)       Date:  2020-01       Impact factor: 0.743

8.  Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes.

Authors:  Michelle Ng; Emily Borst; Ashley Garrity; Emily Hirschfeld; Joyce Lee
Journal:  J Diabetes Sci Technol       Date:  2020-01-02

9.  Review of Self-Reported Data from UK Do-It-Yourself Artificial Pancreas System (DIYAPS) Users to Determine Whether Demographic of Population Affects Use or Outcomes.

Authors:  Tim J Street
Journal:  Diabetes Ther       Date:  2021-05-28       Impact factor: 2.945

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

Authors:  Dana Lewis
Journal:  J Diabetes Sci Technol       Date:  2021-07-05
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