Literature DB >> 28007348

Home use of a bihormonal bionic pancreas versus insulin pump therapy in adults with type 1 diabetes: a multicentre randomised crossover trial.

Firas H El-Khatib1, Courtney Balliro2, Mallory A Hillard2, Kendra L Magyar2, Laya Ekhlaspour2, Manasi Sinha2, Debbie Mondesir2, Aryan Esmaeili2, Celia Hartigan3, Michael J Thompson3, Samir Malkani3, J Paul Lock3, David M Harlan3, Paula Clinton4, Eliana Frank4, Darrell M Wilson4, Daniel DeSalvo4, Lisa Norlander4, Trang Ly4, Bruce A Buckingham4, Jamie Diner5, Milana Dezube5, Laura A Young5, April Goley5, M Sue Kirkman5, John B Buse5, Hui Zheng6, Rajendranath R Selagamsetty1, Edward R Damiano1, Steven J Russell7.   

Abstract

BACKGROUND: The safety and effectiveness of a continuous, day-and-night automated glycaemic control system using insulin and glucagon has not been shown in a free-living, home-use setting. We aimed to assess whether bihormonal bionic pancreas initialised only with body mass can safely reduce mean glycaemia and hypoglycaemia in adults with type 1 diabetes who were living at home and participating in their normal daily routines without restrictions on diet or physical activity.
METHODS: We did a random-order crossover study in volunteers at least 18 years old who had type 1 diabetes and lived within a 30 min drive of four sites in the USA. Participants were randomly assigned (1:1) in blocks of two using sequentially numbered sealed envelopes to glycaemic regulation with a bihormonal bionic pancreas or usual care (conventional or sensor-augmented insulin pump therapy) first, followed by the opposite intervention. Both study periods were 11 days in length, during which time participants continued all normal activities, including athletics and driving. The bionic pancreas was initialised with only the participant's body mass. Autonomously adaptive dosing algorithms used data from a continuous glucose monitor to control subcutaneous delivery of insulin and glucagon. The coprimary outcomes were the mean glucose concentration and time with continuous glucose monitoring (CGM) glucose concentration less than 3·3 mmol/L, analysed over days 2-11 in participants who completed both periods of the study. This trial is registered with ClinicalTrials.gov, number NCT02092220.
FINDINGS: We randomly assigned 43 participants between May 6, 2014, and July 3, 2015, 39 of whom completed the study: 20 who were assigned to bionic pancreas first and 19 who were assigned to the comparator first. The mean CGM glucose concentration was 7·8 mmol/L (SD 0·6) in the bionic pancreas period versus 9·0 mmol/L (1·6) in the comparator period (difference 1·1 mmol/L, 95% CI 0·7-1·6; p<0·0001), and the mean time with CGM glucose concentration less than 3·3 mmol/L was 0·6% (0·6) in the bionic pancreas period versus 1·9% (1·7) in the comparator period (difference 1·3%, 95% CI 0·8-1·8; p<0·0001). The mean nausea score on the Visual Analogue Scale (score 0-10) was greater during the bionic pancreas period (0·52 [SD 0·83]) than in the comparator period (0·05 [0·17]; difference 0·47, 95% CI 0·21-0·73; p=0·0024). Body mass and laboratory parameters did not differ between periods. There were no serious or unexpected adverse events in the bionic pancreas period of the study.
INTERPRETATION: Relative to conventional and sensor-augmented insulin pump therapy, the bihormonal bionic pancreas, initialised only with participant weight, was able to achieve superior glycaemic regulation without the need for carbohydrate counting. Larger and longer studies are needed to establish the long-term benefits and risks of automated glycaemic management with a bihormonal bionic pancreas. FUNDING: National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health, and National Center for Advancing Translational Sciences.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 28007348      PMCID: PMC5358809          DOI: 10.1016/S0140-6736(16)32567-3

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  40 in total

1.  Day and night glycaemic control with a bionic pancreas versus conventional insulin pump therapy in preadolescent children with type 1 diabetes: a randomised crossover trial.

Authors:  Steven J Russell; Mallory A Hillard; Courtney Balliro; Kendra L Magyar; Rajendranath Selagamsetty; Manasi Sinha; Kerry Grennan; Debbie Mondesir; Laya Ekhlaspour; Hui Zheng; Edward R Damiano; Firas H El-Khatib
Journal:  Lancet Diabetes Endocrinol       Date:  2016-02-03       Impact factor: 32.069

2.  Day and Night Closed-Loop Control Using the Integrated Medtronic Hybrid Closed-Loop System in Type 1 Diabetes at Diabetes Camp.

Authors:  Trang T Ly; Anirban Roy; Benyamin Grosman; John Shin; Alex Campbell; Salman Monirabbasi; Bradley Liang; Rie von Eyben; Satya Shanmugham; Paula Clinton; Bruce A Buckingham
Journal:  Diabetes Care       Date:  2015-06-06       Impact factor: 19.112

3.  Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry.

Authors:  Kellee M Miller; Nicole C Foster; Roy W Beck; Richard M Bergenstal; Stephanie N DuBose; Linda A DiMeglio; David M Maahs; William V Tamborlane
Journal:  Diabetes Care       Date:  2015-06       Impact factor: 19.112

4.  Racial-ethnic disparities in management and outcomes among children with type 1 diabetes.

Authors:  Steven M Willi; Kellee M Miller; Linda A DiMeglio; Georgeanna J Klingensmith; Jill H Simmons; William V Tamborlane; Kristen J Nadeau; Julie M Kittelsrud; Peter Huckfeldt; Roy W Beck; Terri H Lipman
Journal:  Pediatrics       Date:  2015-03       Impact factor: 7.124

5.  A bihormonal closed-loop artificial pancreas for type 1 diabetes.

Authors:  Firas H El-Khatib; Steven J Russell; David M Nathan; Robert G Sutherlin; Edward R Damiano
Journal:  Sci Transl Med       Date:  2010-04-14       Impact factor: 17.956

6.  Nonaqueous, Mini-Dose Glucagon for Treatment of Mild Hypoglycemia in Adults With Type 1 Diabetes: A Dose-Seeking Study.

Authors:  Morey W Haymond; Maria J Redondo; Siripoom McKay; Martin J Cummins; Brett Newswanger; John Kinzell; Steven Prestrelski
Journal:  Diabetes Care       Date:  2016-02-09       Impact factor: 19.112

Review 7.  Progress of artificial pancreas devices towards clinical use: the first outpatient studies.

Authors:  Steven J Russell
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2015-04       Impact factor: 3.243

8.  Glycemic control in youth with diabetes: the SEARCH for diabetes in Youth Study.

Authors:  Diana B Petitti; Georgeanna J Klingensmith; Ronny A Bell; Jeanette S Andrews; Dana Dabelea; Giuseppina Imperatore; Santica Marcovina; Catherine Pihoker; Debra Standiford; Beth Waitzfelder; Elizabeth Mayer-Davis
Journal:  J Pediatr       Date:  2009-07-29       Impact factor: 4.406

9.  Feasibility of a portable bihormonal closed-loop system to control glucose excursions at home under free-living conditions for 48 hours.

Authors:  Arianne C van Bon; Yoeri M Luijf; Rob Koebrugge; Robin Koops; Joost B L Hoekstra; J Hans DeVries
Journal:  Diabetes Technol Ther       Date:  2013-11-13       Impact factor: 6.118

10.  Performance and safety of an integrated bihormonal artificial pancreas for fully automated glucose control at home.

Authors:  H Blauw; A C van Bon; R Koops; J H DeVries
Journal:  Diabetes Obes Metab       Date:  2016-04-25       Impact factor: 6.577

View more
  67 in total

1.  Automated glycemic control with the bionic pancreas in cystic fibrosis-related diabetes: A pilot study.

Authors:  Jordan S Sherwood; Rabab Z Jafri; Courtney A Balliro; Hui Zheng; Firas H El-Khatib; Edward R Damiano; Steven J Russell; Melissa S Putman
Journal:  J Cyst Fibros       Date:  2019-08-13       Impact factor: 5.482

Review 2.  Role of Glucagon in Automated Insulin Delivery.

Authors:  Leah M Wilson; Peter G Jacobs; Jessica R Castle
Journal:  Endocrinol Metab Clin North Am       Date:  2019-12-10       Impact factor: 4.741

3.  Fully Closed-Loop Multiple Model Probabilistic Predictive Controller Artificial Pancreas Performance in Adolescents and Adults in a Supervised Hotel Setting.

Authors:  Gregory P Forlenza; Faye M Cameron; Trang T Ly; David Lam; Daniel P Howsmon; Nihat Baysal; Georgia Kulina; Laurel Messer; Paula Clinton; Camilla Levister; Stephen D Patek; Carol J Levy; R Paul Wadwa; David M Maahs; B Wayne Bequette; Bruce A Buckingham
Journal:  Diabetes Technol Ther       Date:  2018-04-16       Impact factor: 6.118

4.  A Clinical Guide to Advanced Diabetes Devices and Closed-Loop Systems Using the CARES Paradigm.

Authors:  Laurel H Messer; Cari Berget; Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2019-05-29       Impact factor: 6.118

5.  Relevance of Bolus Calculators in Current Hybrid Closed Loop Systems.

Authors:  Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2017-07-07       Impact factor: 6.118

Review 6.  Development of glucose-responsive 'smart' insulin systems.

Authors:  Nischay K Rege; Nelson F B Phillips; Michael A Weiss
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-08       Impact factor: 3.243

7.  Impact of erroneous meal insulin bolus with dual-hormone artificial pancreas using a simplified bolus strategy - A randomized controlled trial.

Authors:  Véronique Gingras; Mohamed Raef Smaoui; Charlotte Cameli; Virginie Messier; Martin Ladouceur; Laurent Legault; Rémi Rabasa-Lhoret
Journal:  Sci Rep       Date:  2018-02-08       Impact factor: 4.379

Review 8.  A critical review and analysis of ethical issues associated with the artificial pancreas.

Authors:  A Quintal; V Messier; R Rabasa-Lhoret; E Racine
Journal:  Diabetes Metab       Date:  2018-04-25       Impact factor: 6.041

9.  Predicting and Preventing Nocturnal Hypoglycemia in Type 1 Diabetes Using Big Data Analytics and Decision Theoretic Analysis.

Authors:  Clara Mosquera-Lopez; Robert Dodier; Nichole S Tyler; Leah M Wilson; Joseph El Youssef; Jessica R Castle; Peter G Jacobs
Journal:  Diabetes Technol Ther       Date:  2020-05-14       Impact factor: 6.118

Review 10.  Continuous Glucose Monitoring Integration in Clinical Practice: A Stepped Guide to Data Review and Interpretation.

Authors:  Grazia Aleppo; Kimberly Webb
Journal:  J Diabetes Sci Technol       Date:  2018-11-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.