Literature DB >> 30620641

Glucose Control Using a Standard Versus an Enhanced Hybrid Closed Loop System: A Randomized Crossover Study.

Barbora Paldus1,2, Melissa H Lee1,2, Hannah M Jones1,2, Sybil A McAuley1,2, Jodie C Horsburgh1,2, Kerryn L Roem1, Glenn M Ward1,2, Richard J MacIsaac1,2, Neale Cohen3, Peter G Colman4, Alicia J Jenkins1,2,5, David N O'Neal1,2.   

Abstract

Hybrid closed loop (HCL) insulin delivery with the Medtronic Minimed 670G system is effective and safe in people with type 1 diabetes (T1D). This study compared glucose control, closed loop (CL) exits, and alarm frequency with the standard HCL (s-HCL) versus enhanced HCL (e-HCL) Medtronic system. Pump-experienced T1D adults (n = 11; 9 female; mean [SD] age: 51 years [15 years]; HbA1c 7.5% [1.0%] or 58 mmol/mol [7.7 mmol/mol]) were assigned, in random order, s-HCL or e-HCL for 1 week each in a supervised live-in setting. e-HCL incorporated enhanced bolus reminders and iterative changes, broadening glucose and insulin delivery parameters permitting persistence in CL. For both s-HCL and e-HCL, insulin delivery was by a Medtronic pump with identical interventions (missed bolus, exercise, high-glycemic index, and high-fat meals), insulin action times, and insulin-carbohydrate ratios implemented. The primary outcome was continuous glucose monitoring time in target range. Analysis was by paired t-test for normally distributed data and Wilcoxon-signed rank test otherwise. e-HCL resulted in significantly fewer CL alerts and exits. Time in target and mean glucose favored e-HCL but did not reach statistical significance. No episodes of severe hypoglycemia or ketoacidosis occurred. Relative to s-HCL, e-HCL use significantly decreases CL exits and alerts, and tended to improve glycemia without compromising safety, despite multiple food and exercise challenges during the study. Longer term studies at home are merited.

Entities:  

Keywords:  Algorithm.; Artificial pancreas; Closed loop; Insulin pump; Type 1 diabetes

Mesh:

Substances:

Year:  2019        PMID: 30620641     DOI: 10.1089/dia.2018.0279

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  7 in total

1.  Latest Advancements in Artificial Intelligence-Enabled Technologies in Treating Type 1 Diabetes.

Authors:  Feng Qian; Patrick J Schumacher
Journal:  J Diabetes Sci Technol       Date:  2020-08-25

Review 2.  Artificial Pancreas Systems and Physical Activity in Patients with Type 1 Diabetes: Challenges, Adopted Approaches, and Future Perspectives.

Authors:  Sémah Tagougui; Nadine Taleb; Joséphine Molvau; Élisabeth Nguyen; Marie Raffray; Rémi Rabasa-Lhoret
Journal:  J Diabetes Sci Technol       Date:  2019-08-13

3.  MiniMed 670G hybrid closed loop artificial pancreas system for the treatment of type 1 diabetes mellitus: overview of its safety and efficacy.

Authors:  Aria Saunders; Laurel H Messer; Gregory P Forlenza
Journal:  Expert Rev Med Devices       Date:  2019-09-30       Impact factor: 3.166

Review 4.  Artificial Pancreas Technology Offers Hope for Childhood Diabetes.

Authors:  Melissa J Schoelwer; Mark D DeBoer
Journal:  Curr Nutr Rep       Date:  2021-01-07

Review 5.  Current treatment options and challenges in patients with Type 1 diabetes: Pharmacological, technical advances and future perspectives.

Authors:  Federico Boscari; Angelo Avogaro
Journal:  Rev Endocr Metab Disord       Date:  2021-03-23       Impact factor: 6.514

6.  Six-Month Effectiveness of Advanced vs. Standard Hybrid Closed-Loop System in Children and Adolescents With Type 1 Diabetes Mellitus.

Authors:  Gianluca Tornese; Francesca Buzzurro; Claudia Carletti; Elena Faleschini; Egidio Barbi
Journal:  Front Endocrinol (Lausanne)       Date:  2021-11-09       Impact factor: 5.555

7.  Safety and Glycemic Outcomes During the MiniMed™ Advanced Hybrid Closed-Loop System Pivotal Trial in Adolescents and Adults with Type 1 Diabetes.

Authors:  Anders L Carlson; Jennifer L Sherr; Dorothy I Shulman; Satish K Garg; Rodica Pop-Busui; Bruce W Bode; David R Lilenquist; Ron L Brazg; Kevin B Kaiserman; Mark S Kipnes; James R Thrasher; John H Chip Reed; Robert H Slover; Athena Philis-Tsimikas; Mark Christiansen; Benyamin Grosman; Anirban Roy; Melissa Vella; Richard A M Jonkers; Xiaoxiao Chen; John Shin; Toni L Cordero; Scott W Lee; Andrew S Rhinehart; Robert A Vigersky
Journal:  Diabetes Technol Ther       Date:  2021-11-16       Impact factor: 6.118

  7 in total

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