Literature DB >> 34146238

Improvements in Glycemic Control Achieved by Altering the tmax Setting in the iLet® Bionic Pancreas When Using Fast-Acting Insulin Aspart: A Randomized Trial.

Steven J Russell1,2, Courtney Balliro3, Magnus Ekelund4, Firas El-Khatib5,6, Tina Graungaard7, Evelyn Greaux3, Mallory Hillard3, Rabab Z Jafri3,8, Naveen Rathor9, Raj Selagamsetty5,6, Jordan Sherwood3, Edward R Damiano5.   

Abstract

INTRODUCTION: We investigated the safety of, and glucose control by, the insulin-only configuration of the iLet® bionic pancreas delivering fast-acting insulin aspart (faster aspart), using the same insulin-dosing algorithm but different time to maximal serum drug concentration (tmax) settings, in adults with type 1 diabetes.
METHODS: We performed a single-center, single-blinded, crossover (two 7-day treatment periods) escalation trial over three sequential cohorts. Participants from each cohort were randomized to a default tmax setting (t65 [tmax = 65 min]) followed by a non-default tmax setting (t50 [tmax = 50 min; cohort 1], t40 [tmax = 40 min; cohort 2], t30 [tmax = 30 min; cohort 3]), or vice versa, all with faster aspart. Each cohort randomized eight new participants if escalation-stopping criteria were not met in the previous cohort.
RESULTS: Overall, 24 participants were randomized into three cohorts. Two participants discontinued treatment, one due to reported 'low blood glucose' during the first treatment period of cohort 3 (t30). Mean time in low sensor glucose (< 54 mg/dl, primary endpoint) was < 1.0% for all tmax settings. Mean sensor glucose in cohorts 1 and 2 was significantly lower at non-default versus default tmax settings, with comparable insulin dosing. The mean time sensor glucose was in range (70-180 mg/dl) was > 70% for all cohorts, except the default tmax setting in cohort 1. No severe hypoglycemic episodes were reported. Furthermore, there were no clinically significant differences in adverse events between the groups.
CONCLUSION: There were no safety concerns with faster aspart in the iLet at non-default tmax settings. Improvements were observed in mean sensor glucose without increases in low sensor glucose at non-default tmax settings. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03816761.

Entities:  

Keywords:  Algorithm; Automated delivery; Bionic pancreas; Faster aspart; Glucose control; Insulin; Type 1 diabetes

Year:  2021        PMID: 34146238     DOI: 10.1007/s13300-021-01087-x

Source DB:  PubMed          Journal:  Diabetes Ther        ISSN: 1869-6961            Impact factor:   2.945


  1 in total

Review 1.  Continuous subcutaneous insulin infusion (CSII) versus multiple insulin injections for type 1 diabetes mellitus.

Authors:  Marie L Misso; Kristine J Egberts; Matthew Page; Denise O'Connor; Jonathan Shaw
Journal:  Cochrane Database Syst Rev       Date:  2010-01-20
  1 in total
  4 in total

1.  A Multicenter Randomized Trial Evaluating Fast-Acting Insulin Aspart in the Bionic Pancreas in Adults with Type 1 Diabetes.

Authors:  Roy W Beck; Steven J Russell; Edward R Damiano; Firas H El-Khatib; Katrina J Ruedy; Courtney Balliro; Zoey Li; Peter Calhoun
Journal:  Diabetes Technol Ther       Date:  2022-10       Impact factor: 7.337

Review 2.  A Comprehensive Review of the Evolution of Insulin Development and Its Delivery Method.

Authors:  Vaisnevee Sugumar; Kuan Ping Ang; Ahmed F Alshanon; Gautam Sethi; Phelim Voon Chen Yong; Chung Yeng Looi; Won Fen Wong
Journal:  Pharmaceutics       Date:  2022-07-04       Impact factor: 6.525

Review 3.  Fault Tolerant Strategies for Automated Insulin Delivery Considering the Human Component: Current and Future Perspectives.

Authors:  Aleix Beneyto; B Wayne Bequette; Josep Vehi
Journal:  J Diabetes Sci Technol       Date:  2021-07-21

4.  Continuous Glucose Monitoring Sensor Glucose Levels and Insulin Pump Infusion Set Wear-Time During Treatment with Fast-Acting Insulin Aspart: A Post Hoc Analysis of Onset 5.

Authors:  Anders Gorst-Rasmussen; Jeppe Sturis; Magnus Ekelund
Journal:  Diabetes Technol Ther       Date:  2021-12-14       Impact factor: 6.118

  4 in total

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