Performance of the Omnipod Personalized Model Predictive Control Algorithm with Meal Bolus Challenges in Adults with Type 1 Diabetes

This study assessed the safety and performance of the Omnipod personalized model predictive control (MPC) algorithm using an investigational device in adults with type 1 diabetes in response to overestimated and missed meal boluses and extended boluses for high-fat meals. A supervised 54-h hybrid cl...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Diabetes technology & therapeutics Jg. 20; H. 9; S. 585
Hauptverfasser:	Buckingham, Bruce A, Christiansen, Mark P, Forlenza, Gregory P, Wadwa, R Paul, Peyser, Thomas A, Lee, Joon Bok, O'Connor, Jason, Dassau, Eyal, Huyett, Lauren M, Layne, Jennifer E, Ly, Trang T
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.09.2018
Schlagworte:	Adult Algorithms Blood Glucose Diabetes Mellitus, Type 1 - drug therapy Feeding Behavior Female Humans Hypoglycemic Agents - administration & dosage Insulin - administration & dosage Male Middle Aged Pancreas, Artificial Postprandial Period Young Adult Artificial pancreas Omnipod Automated insulin delivery tubeless Insulin pump Closed-loop Postprandial
ISSN:	1557-8593, 1557-8593
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!