Dual‐hormone artificial pancreas for management of type 1 diabetes: Recent progress and future directions

2021 ◽  
Author(s):  
Marco Infante ◽  
David A. Baidal ◽  
Michael R. Rickels ◽  
Andrea Fabbri ◽  
Jay S. Skyler ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Recent Progress ◽  
Artificial Pancreas ◽  
Future Directions

A Qualitative Study of the Views of Individuals With Type 1 Diabetes on the Ethical Considerations Raised by the Artificial Pancreas

2020 ◽  
Vol 10 (3) ◽  
pp. 237-261
Author(s):  
Ariane Quintal ◽  
Virginie Messier ◽  
Rémi Rabasa-Lhoret ◽  
Eric Racine
Keyword(s):  
Type 1 Diabetes ◽  
Qualitative Study ◽  
Artificial Pancreas ◽  
Ethical Considerations

Prevention and early help for eating disorders in young people with type 1 diabetes

2021 ◽  
pp. 135910452199417
Author(s):  
Rosie Oldham-Cooper ◽  
Claire Semple
Keyword(s):  
Eating Disorders ◽  
Type 1 Diabetes ◽  
Early Intervention ◽  
Young People ◽  
Current Evidence ◽  
Future Directions ◽  
Team Collaboration ◽  
Children And Young People ◽  
Specialist Services

There is building evidence that early intervention is key to improving outcomes in eating disorders, whereas a ‘watch and wait’ approach that has been commonplace among GPs and other healthcare professionals is now strongly discouraged. Eating disorders occur at approximately twice the rate in individuals with type 1 diabetes compared to the general population. In this group, standard eating disorder treatments have poorer outcomes, and eating disorders result in a particularly high burden of morbidity. Therefore, our first priority must be prevention, with early intervention where disordered eating has already developed. Clinicians working in both eating disorders and diabetes specialist services have highlighted the need for multidisciplinary team collaboration and specific training, as well as improved treatments. We review the current evidence and future directions for prevention, identification and early intervention for eating disorders in children and young people with type 1 diabetes.

scholarly journals The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day

2018 ◽  
Vol 12 (2) ◽  
pp. 273-281 ◽  
Author(s):  
Roberto Visentin ◽  
Enrique Campos-Náñez ◽  
Michele Schiavon ◽  
Dayu Lv ◽  
Martina Vettoretti ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
In Silico ◽  
Artificial Pancreas ◽  
Real Life ◽  
Glucose Monitoring ◽  
Glucose Variability ◽  
Self Monitoring ◽  
Inhaled Insulin ◽  
Single Meal

Background: A new version of the UVA/Padova Type 1 Diabetes (T1D) Simulator is presented which provides a more realistic testing scenario. The upgrades to the previous simulator, which was accepted by the Food and Drug Administration in 2013, are described. Method: Intraday variability of insulin sensitivity (SI) has been modeled, based on clinical T1D data, accounting for both intra- and intersubject variability of daily SI. Thus, time-varying distributions of both subject’s basal insulin infusion and insulin-to-carbohydrate ratio were calculated and made available to the user. A model of “dawn” phenomenon based on clinical T1D data has been also included. Moreover, the model of subcutaneous insulin delivery has been updated with a recently developed model of commercially available fast-acting insulin analogs. Models of both intradermal and inhaled insulin pharmacokinetics have been included. Finally, new models of error affecting continuous glucose monitoring and self-monitoring of blood glucose devices have been added. Results: One hundred in silico adults, adolescent, and children have been generated according to the above modifications. The new simulator reproduces the intraday glucose variability observed in clinical data, also describing the nocturnal glucose increase, and the simulated insulin profiles reflect real life data. Conclusions: The new modifications introduced in the T1D simulator allow to extend its domain of validity from “single-meal” to “single-day” scenarios, thus enabling a more realistic framework for in silico testing of advanced diabetes technologies including glucose sensors, new insulin molecules and artificial pancreas.

Super twisting sliding mode control algorithm for developing artificial pancreas in type 1 diabetes patients

2017 ◽  
Vol 38 ◽  
pp. 200-211 ◽  
Author(s):  
Sayyar Ahmad ◽  
NasimUllah ◽  
Nisar Ahmed ◽  
Muhammad Ilyas ◽  
Waqas Khan
Keyword(s):  
Type 1 Diabetes ◽  
Sliding Mode Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Artificial Pancreas ◽  
Mode Control ◽  
Diabetes Patients
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