Combining Glucose Monitoring and Insulin Infusion in an Integrated Device: A Narrative Review of Challenges and Proposed Solutions.

accuracy automated insulin delivery colocalization continuous glucose monitoring insulin delivery integration

Journal

Journal of diabetes science and technology
ISSN: 1932-2968
Titre abrégé: J Diabetes Sci Technol
Pays: United States
ID NLM: 101306166

Informations de publication

Date de publication:
05 Oct 2023
Historique:
medline: 6 10 2023
pubmed: 6 10 2023
entrez: 6 10 2023
Statut: aheadofprint

Résumé

The introduction of automated insulin delivery (AID) systems has enabled increasing numbers of individuals with type 1 diabetes (T1D) to improve their glycemic control largely. However, use of AID systems is limited due to their complexity and costs associated. The user must wear both a continuously monitoring glucose system and an insulin infusion pump. The glucose sensor and the insulin catheter must be inserted at two different body sites using different insertion devices. In addition, the user must pair and manage the different systems. These communicate with the AID software implemented on the pump or on a third device such as a dedicated display device or smart phone application. These components might be developed and commercialized by different manufacturers, which in turn can cause difficulties for patients seeking technical support. A possible solution to these challenges would be to integrate the glucose sensor and insulin catheter into a single device. This would allow the glucose sensor and insulin catheter to be inserted simultaneously, eliminating the need for pairing, and simplifying system management. In recent years, different technologies have been developed and evaluated in clinical investigations that combine the glucose sensor and the insulin catheter in one platform. The consistent finding of all these studies is that integration has no adverse effect on insulin infusion and glucose measurements provided that certain conditions are met. In this review, we discuss the perceived challenges of such an approach and discuss possible solutions that have been proposed.

Identifiants

pubmed: 37798963
doi: 10.1177/19322968231203237
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

19322968231203237

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: MS and AM are full-time employees of PharmaSens AG; JKM is a member of advisory boards of Abbott Diabetes Care, Becton-Dickinson, Boehringer Ingelheim, Eli Lilly, Embecta, Medtronic, NovoNordisk A/S, Roche Diabetes Care, Sanofi-Aventis, Viatris and received speaker honoraria from A. Menarini Diagnostics, Abbott Diabetes Care, AstraZeneca, Boehringer Ingelheim, Dexcom, Eli Lilly, Medtrust, MSD, NovoNordisk A/S, Roche Diabetes Care, Sanofi, Servier, and Ypsomed; she is shareholder of decide Clinical Software GmbH and elyte Diagnostics where she also serves as CMO; GF has received speakers honoraria or consulting fees from Abbott, Ascensia, Berlin Chemie, Boydsense, Dexcom, Lilly, Metronom, MySugr, Novo Nordisk, PharmaSens, Roche, Sanofi, and Terumo; P-YB has received speaker honoraria from Abbott, Eli Lilly, Novo Nordisk, and Sanofi, is chief medical officer for Diabeloop, and served on advisory board panels for Abbott, Dexcom, Insulet, LifeScan, Eli Lilly, Pharmasens, Novo Nordisk, and Sanofi; Peter Diem is member of the PharmaSens AG Board of Directors; Lutz Heinemann is a consultant to several diagnostic and therapeutic companies in the development of new products, he is a shareholder in the Profil Institute for Metabolic Research in Neuss, Germany.

Auteurs

Michael Schoemaker (M)

PharmaSens AG, Biel, Switzerland.

Anna Martensson (A)

PharmaSens AG, Biel, Switzerland.

Julia K Mader (JK)

Medical University of Graz, Graz, Austria.

Kirsten Nørgaard (K)

Steno Diabetes Center Copenhagen, Herlev, Denmark.
Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

Guido Freckmann (G)

Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany.

Pierre-Yves Benhamou (PY)

Department of Endocrinology, Grenoble University Hospital, Grenoble Alpes University, Grenoble, France.

Peter Diem (P)

Artificial Intelligence in Health and Nutrition, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.

Lutz Heinemann (L)

Science-Consulting in Diabetes GmbH, Düsseldorf, Germany.

Classifications MeSH