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The changing landscape of automated insulin delivery in the management of type 1 diabetes
Automated insulin delivery systems, also known as closed-loop or ‘artificial pancreas’ systems, are transforming the management of type 1 diabetes. These systems consist of an algorithm which responds to real-time glucose sensor levels by automatically modulating insulin delivery through an insulin...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Bioscientifica Ltd
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448576/ https://www.ncbi.nlm.nih.gov/pubmed/37289734 http://dx.doi.org/10.1530/EC-23-0132 |
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author | Lakshman, Rama Boughton, Charlotte Hovorka, Roman |
author_facet | Lakshman, Rama Boughton, Charlotte Hovorka, Roman |
author_sort | Lakshman, Rama |
collection | PubMed |
description | Automated insulin delivery systems, also known as closed-loop or ‘artificial pancreas’ systems, are transforming the management of type 1 diabetes. These systems consist of an algorithm which responds to real-time glucose sensor levels by automatically modulating insulin delivery through an insulin pump. We review the rapidly changing landscape of automated insulin-delivery systems over recent decades, from initial prototypes to the different hybrid closed-loop systems commercially available today. We discuss the growing body of clinical trials and real-world evidence demonstrating their glycaemic and psychosocial benefits. We also address future directions in automated insulin delivery such as dual-hormone systems and adjunct therapy as well as the challenges around ensuring equitable access to closed-loop technology. |
format | Online Article Text |
id | pubmed-10448576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-104485762023-08-25 The changing landscape of automated insulin delivery in the management of type 1 diabetes Lakshman, Rama Boughton, Charlotte Hovorka, Roman Endocr Connect Review Automated insulin delivery systems, also known as closed-loop or ‘artificial pancreas’ systems, are transforming the management of type 1 diabetes. These systems consist of an algorithm which responds to real-time glucose sensor levels by automatically modulating insulin delivery through an insulin pump. We review the rapidly changing landscape of automated insulin-delivery systems over recent decades, from initial prototypes to the different hybrid closed-loop systems commercially available today. We discuss the growing body of clinical trials and real-world evidence demonstrating their glycaemic and psychosocial benefits. We also address future directions in automated insulin delivery such as dual-hormone systems and adjunct therapy as well as the challenges around ensuring equitable access to closed-loop technology. Bioscientifica Ltd 2023-06-08 /pmc/articles/PMC10448576/ /pubmed/37289734 http://dx.doi.org/10.1530/EC-23-0132 Text en © the author(s) https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License. (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | Review Lakshman, Rama Boughton, Charlotte Hovorka, Roman The changing landscape of automated insulin delivery in the management of type 1 diabetes |
title | The changing landscape of automated insulin delivery in the management of type 1 diabetes |
title_full | The changing landscape of automated insulin delivery in the management of type 1 diabetes |
title_fullStr | The changing landscape of automated insulin delivery in the management of type 1 diabetes |
title_full_unstemmed | The changing landscape of automated insulin delivery in the management of type 1 diabetes |
title_short | The changing landscape of automated insulin delivery in the management of type 1 diabetes |
title_sort | changing landscape of automated insulin delivery in the management of type 1 diabetes |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448576/ https://www.ncbi.nlm.nih.gov/pubmed/37289734 http://dx.doi.org/10.1530/EC-23-0132 |
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