Adjusting Insulin Delivery to Activity (AIDA) clinical trial: Effects of activity‐based insulin profiles on glucose control in children with type 1 diabetes

2018 ◽  
Vol 19 (8) ◽  
pp. 1451-1458 ◽  
Author(s):  
Paulina Ortiz‐Rubio ◽  
Adeolu Oladunjoye ◽  
Michael S. D. Agus ◽  
Garry M. Steil
Keyword(s):  
Clinical Trial ◽  
Type 1 Diabetes ◽  
Glucose Control ◽  
Insulin Delivery

scholarly journals Day-and-Night Hybrid Closed-Loop Insulin Delivery in Adolescents With Type 1 Diabetes: A Free-Living, Randomized Clinical Trial

Diabetes Care ◽  
2016 ◽  
Vol 39 (7) ◽  
pp. 1168-1174 ◽  
Author(s):  
Martin Tauschmann ◽  
Janet M. Allen ◽  
Malgorzata E. Wilinska ◽  
Hood Thabit ◽  
Zoë Stewart ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Type 1 Diabetes ◽  
Randomized Clinical Trial ◽  
Closed Loop ◽  
Insulin Delivery ◽  
Free Living

scholarly journals Women’s Experiences of Day-and-Night Closed-Loop Insulin Delivery During Type 1 Diabetes Pregnancy

2018 ◽  
Vol 12 (6) ◽  
pp. 1125-1131 ◽  
Author(s):  
Conor Farrington ◽  
Zoe Stewart ◽  
Roman Hovorka ◽  
Helen Murphy
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Control ◽  
Closed Loop ◽  
Insulin Delivery ◽  
Peace Of Mind ◽  
Women’S Experiences ◽  
Closed Loop Systems ◽  
Women's Experiences

Aims: Closed-loop insulin delivery has the potential to improve day-to-day glucose control in type 1 diabetes pregnancy. However, the psychosocial impact of day-and-night usage of automated closed-loop systems during pregnancy is unknown. Our aim was to explore women’s experiences and relationships between technology experience and levels of trust in closed-loop therapy. Methods: We recruited 16 pregnant women with type 1 diabetes to a randomized crossover trial of sensor-augmented pump therapy compared to automated closed-loop therapy. We conducted semistructured qualitative interviews at baseline and follow-up. Findings from follow-up interviews are reported here. Results: Women described benefits and burdens of closed-loop systems during pregnancy. Feelings of improved glucose control, excitement and peace of mind were counterbalanced by concerns about technical glitches, CGM inaccuracy, and the burden of maintenance requirements. Women expressed varied but mostly high levels of trust in closed-loop therapy. Conclusions: Women displayed complex psychosocial responses to day-and-night closed-loop therapy in pregnancy. Clinicians should consider closed-loop therapy not just in terms of its potential impact on biomedical outcomes but also in terms of its impact on users’ lives.

Glucose control with two different basal insulin delivery regimens during CSII in patients with Type 1 diabetes

1996 ◽  
Vol 13 (2) ◽  
pp. 46-48
Author(s):  
U-B Johansson ◽  
R. Wredling ◽  
Pe Lins ◽  
U. Adamson ◽  
E. Moberg
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Control ◽  
Basal Insulin ◽  
Insulin Delivery

scholarly journals Home use of closed-loop insulin delivery for overnight glucose control in adults with type 1 diabetes: a 4-week, multicentre, randomised crossover study

2014 ◽  
Vol 2 (9) ◽  
pp. 701-709 ◽  
Author(s):  
Hood Thabit ◽  
Alexandra Lubina-Solomon ◽  
Marietta Stadler ◽  
Lalantha Leelarathna ◽  
Emma Walkinshaw ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Crossover Study ◽  
Glucose Control ◽  
Closed Loop ◽  
Insulin Delivery

scholarly journals Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier

2009 ◽  
Vol 3 (5) ◽  
pp. 1014-1021 ◽  
Author(s):  
Daniela Bruttomesso ◽  
Anne Farret ◽  
Silvana Costa ◽  
Maria Cristina Marescotti ◽  
Monica Vettore ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Insulin Delivery ◽  
Glucose Sensing ◽  
Open Loop ◽  
Closed Loop Control ◽  
Loop Control

New effort has been made to develop closed-loop glucose control, using subcutaneous (SC) glucose sensing and continuous subcutaneous insulin infusion (CSII) from a pump, and a control algorithm. An approach based on a model predictive control (MPC) algorithm has been utilized during closed-loop control in type 1 diabetes patients. Here we describe the preliminary clinical experience with this approach. In Padova, two out of three subjects showed better performance with the closed-loop system compared to open loop. Altogether, mean overnight plasma glucose (PG) levels were 134 versus 111 mg/dl during open loop versus closed loop, respectively. The percentage of time spent at PG > 140 mg/dl was 45% versus 12%, while postbreakfast mean PG was 165 versus 156 mg/dl during open loop versus closed loop, respectively. Also, in Montpellier, two patients out of three showed a better glucose control during closed-loop trials. Avoidance of nocturnal hypoglycemic excursions was a clear benefit during algorithm-guided insulin delivery in all cases. This preliminary set of studies demonstrates that closed-loop control based entirely on SC glucose sensing and insulin delivery is feasible and can be applied to improve glucose control in patients with type 1 diabetes, although the algorithm needs to be further improved to achieve better glycemic control. Six type 1 diabetes patients (three in each of two clinical investigation centers in Padova and Montpellier), using CSII, aged 36 ± 8 and 48 ± 6 years, duration of diabetes 12 ± 8 and 29 ± 4 years, hemoglobin A1c 7.4% ± 0.1% and 7.3% ± 0.3%, body mass index 23.2 ± 0.3 and 28.4 ± 2.2 kg/m2, respectively, were studied on two occasions during 22 h overnight hospital admissions 2–4 weeks apart. A Freestyle Navigator® continuous glucose monitor and an OmniPod® insulin pump were applied in each trial. Admission 1 used open-loop control, while admission 2 employed closed-loop control using our MPC algorithm.

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