Literature DB >> 25434967

Comparison of dual-hormone artificial pancreas, single-hormone artificial pancreas, and conventional insulin pump therapy for glycaemic control in patients with type 1 diabetes: an open-label randomised controlled crossover trial.

Ahmad Haidar1, Laurent Legault2, Virginie Messier3, Tina Maria Mitre4, Catherine Leroux3, Rémi Rabasa-Lhoret5.   

Abstract

BACKGROUND: The artificial pancreas is an emerging technology for the treatment of type 1 diabetes and two configurations have been proposed: single-hormone (insulin alone) and dual-hormone (insulin and glucagon). We aimed to delineate the usefulness of glucagon in the artificial pancreas system.
METHODS: We did a randomised crossover trial of dual-hormone artificial pancreas, single-hormone artificial pancreas, and conventional insulin pump therapy (continuous subcutaneous insulin infusion) in participants aged 12 years or older with type 1 diabetes. Participants were assigned in a 1:1:1:1:1:1 ratio with blocked randomisation to the three interventions and attended a research facility for three 24-h study visits. During visits when the patient used the single-hormone artificial pancreas, insulin was delivered based on glucose sensor readings and a predictive dosing algorithm. During dual-hormone artificial pancreas visits, glucagon was also delivered during low or falling glucose. During conventional insulin pump therapy visits, patients received continuous subcutaneous insulin infusion. The study was not masked. The primary outcome was the time for which plasma glucose concentrations were in the target range (4·0-10·0 mmol/L for 2 h postprandially and 4·0-8·0 mmol/L otherwise). Hypoglycaemic events were defined as plasma glucose concentration of less than 3·3 mmol/L with symptoms or less than 3·0 mmol/L irrespective of symptoms. Analysis was by modified intention to treat, in which we included data for all patients who completed at least two visits. A p value of less than 0·0167 (0·05/3) was regarded as significant. This trial is registered with ClinicalTrials.gov, number NCT01754337.
FINDINGS: The mean proportion of time spent in the plasma glucose target range over 24 h was 62% (SD 18), 63% (18), and 51% (19) with single-hormone artificial pancreas, dual-hormone artificial pancreas, and conventional insulin pump therapy, respectively. The mean difference in time spent in the target range between single-hormone artificial pancreas and conventional insulin pump therapy was 11% (17; p=0·002) and between dual-hormone artificial pancreas and conventional insulin pump therapy was 12% (21; p=0·00011). There was no difference (15; p=0·75) in the proportion of time spent in the target range between the single-hormone and dual-hormone artificial pancreas systems. There were 52 hypoglycaemic events with conventional insulin pump therapy (12 of which were symptomatic), 13 with the single-hormone artificial pancreas (five of which were symptomatic), and nine with the dual-hormone artificial pancreas (0 of which were symptomatic); the number of nocturnal hypoglycaemic events was 13 (0 symptomatic), 0, and 0, respectively.
INTERPRETATION: Single-hormone and dual-hormone artificial pancreas systems both provided better glycaemic control than did conventional insulin pump therapy. The single-hormone artificial pancreas might be sufficient for hypoglycaemia-free overnight glycaemic control. FUNDING: Canadian Diabetes Association; Fondation J A De Sève; Juvenile Diabetes Research Foundation; and Medtronic.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25434967     DOI: 10.1016/S2213-8587(14)70226-8

Source DB:  PubMed          Journal:  Lancet Diabetes Endocrinol        ISSN: 2213-8587            Impact factor:   32.069


  71 in total

Review 1.  Moving Toward a Unified Platform for Insulin Delivery and Sensing of Inputs Relevant to an Artificial Pancreas.

Authors:  Anneke Graf; Sybil A McAuley; Catriona Sims; Johanna Ulloa; Alicia J Jenkins; Gayane Voskanyan; David N O'Neal
Journal:  J Diabetes Sci Technol       Date:  2016-12-13

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

Review 3.  Automated Insulin Delivery in Adults.

Authors:  Charlotte K Boughton; Roman Hovorka
Journal:  Endocrinol Metab Clin North Am       Date:  2019-12-16       Impact factor: 4.741

4.  Capabilities of Next-Generation Patch Pump: Improved Precision, Instant Occlusion Detection, and Dual-Hormone Therapy.

Authors:  Forrest W Payne; Bradley Ledden; Greg Lamps
Journal:  J Diabetes Sci Technol       Date:  2018-05-24

5.  Diabetes: Artificial pancreas--first head-to-head comparison of dual-hormone and single-hormone systems.

Authors:  David Holmes
Journal:  Nat Rev Endocrinol       Date:  2014-12-16       Impact factor: 43.330

6.  Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems.

Authors:  Iman Hajizadeh; Mudassir Rashid; Kamuran Turksoy; Sediqeh Samadi; Jianyuan Feng; Mert Sevil; Nicole Hobbs; Caterina Lazaro; Zacharie Maloney; Elizabeth Littlejohn; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2018-07-31

7.  Multivariable Artificial Pancreas for Various Exercise Types and Intensities.

Authors:  Kamuran Turksoy; Iman Hajizadeh; Nicole Hobbs; Jennifer Kilkus; Elizabeth Littlejohn; Sediqeh Samadi; Jianyuan Feng; Mert Sevil; Caterina Lazaro; Julia Ritthaler; Brooks Hibner; Nancy Devine; Laurie Quinn; Ali Cinar
Journal:  Diabetes Technol Ther       Date:  2018-09-06       Impact factor: 6.118

Review 8.  Artificial Pancreas Project at Cambridge 2013.

Authors:  R Hovorka
Journal:  Diabet Med       Date:  2015-04-15       Impact factor: 4.359

Review 9.  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

10.  Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.

Authors:  Joon Bok Lee; Eyal Dassau; Ravi Gondhalekar; Dale E Seborg; Jordan E Pinsker; Francis J Doyle
Journal:  Ind Eng Chem Res       Date:  2016-10-27       Impact factor: 3.720

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.