Literature DB >> 26432775

2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free-living conditions: a randomised crossover trial.

Jort Kropff1, Simone Del Favero2, Jerome Place3, Chiara Toffanin4, Roberto Visentin2, Marco Monaro2, Mirko Messori4, Federico Di Palma4, Giordano Lanzola5, Anne Farret3, Federico Boscari6, Silvia Galasso6, Paolo Magni7, Angelo Avogaro6, Patrick Keith-Hynes8, Boris P Kovatchev8, Daniela Bruttomesso6, Claudio Cobelli2, J Hans DeVries9, Eric Renard3, Lalo Magni7.   

Abstract

BACKGROUND: An artificial pancreas (AP) that can be worn at home from dinner to waking up in the morning might be safe and efficient for first routine use in patients with type 1 diabetes. We assessed the effect on glucose control with use of an AP during the evening and night plus patient-managed sensor-augmented pump therapy (SAP) during the day, versus 24 h use of patient-managed SAP only, in free-living conditions.
METHODS: In a crossover study done in medical centres in France, Italy, and the Netherlands, patients aged 18-69 years with type 1 diabetes who used insulin pumps for continuous subcutaneous insulin infusion were randomly assigned to 2 months of AP use from dinner to waking up plus SAP use during the day versus 2 months of SAP use only under free-living conditions. Randomisation was achieved with a computer-generated allocation sequence with random block sizes of two, four, or six, masked to the investigator. Patients and investigators were not masked to the type of intervention. The AP consisted of a continuous glucose monitor (CGM) and insulin pump connected to a modified smartphone with a model predictive control algorithm. The primary endpoint was the percentage of time spent in the target glucose concentration range (3·9-10·0 mmol/L) from 2000 to 0800 h. CGM data for weeks 3-8 of the interventions were analysed on a modified intention-to-treat basis including patients who completed at least 6 weeks of each intervention period. The 2 month study period also allowed us to asses HbA1c as one of the secondary outcomes. This trial is registered with ClinicalTrials.gov, number NCT02153190.
FINDINGS: During 2000-0800 h, the mean time spent in the target range was higher with AP than with SAP use: 66·7% versus 58·1% (paired difference 8·6% [95% CI 5·8 to 11·4], p<0·0001), through a reduction in both mean time spent in hyperglycaemia (glucose concentration >10·0 mmol/L; 31·6% vs 38·5%; -6·9% [-9·8% to -3·9], p<0·0001) and in hypoglycaemia (glucose concentration <3·9 mmol/L; 1·7% vs 3·0%; -1·6% [-2·3 to -1·0], p<0·0001). Decrease in mean HbA1c during the AP period was significantly greater than during the control period (-0·3% vs -0·2%; paired difference -0·2 [95% CI -0·4 to -0·0], p=0·047), taking a period effect into account (p=0·0034). No serious adverse events occurred during this study, and none of the mild-to-moderate adverse events was related to the study intervention.
INTERPRETATION: Our results support the use of AP at home as a safe and beneficial option for patients with type 1 diabetes. The HbA1c results are encouraging but preliminary. FUNDING: European Commission.
Copyright © 2015 Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26432775     DOI: 10.1016/S2213-8587(15)00335-6

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


  66 in total

Review 1.  AP@home: The Artificial Pancreas Is Now at Home.

Authors:  Lutz Heinemann; Carsten Benesch; J Hans DeVries
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

2.  Overnight Closed-Loop Control Improves Glycemic Control in a Multicenter Study of Adults With Type 1 Diabetes.

Authors:  Sue A Brown; Marc D Breton; Stacey M Anderson; Laura Kollar; Patrick Keith-Hynes; Carol J Levy; David W Lam; Camilla Levister; Nihat Baysal; Yogish C Kudva; Ananda Basu; Vikash Dadlani; Ling Hinshaw; Shelly McCrady-Spitzer; Daniela Bruttomesso; Roberto Visentin; Silvia Galasso; Simone Del Favero; Yenny Leal; Federico Boscari; Angelo Avogaro; Claudio Cobelli; Boris P Kovatchev
Journal:  J Clin Endocrinol Metab       Date:  2017-10-01       Impact factor: 5.958

3.  Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas.

Authors:  Jordan E Pinsker; Joon Bok Lee; Eyal Dassau; Dale E Seborg; Paige K Bradley; Ravi Gondhalekar; Wendy C Bevier; Lauren Huyett; Howard C Zisser; Francis J Doyle
Journal:  Diabetes Care       Date:  2016-06-11       Impact factor: 19.112

Review 4.  Multivariable Adaptive Artificial Pancreas System in Type 1 Diabetes.

Authors:  Ali Cinar
Journal:  Curr Diab Rep       Date:  2017-08-15       Impact factor: 4.810

5.  The UVA/Padova Type 1 Diabetes Simulator Goes From Single Meal to Single Day.

Authors:  Roberto Visentin; Enrique Campos-Náñez; Michele Schiavon; Dayu Lv; Martina Vettoretti; Marc Breton; Boris P Kovatchev; Chiara Dalla Man; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2018-02-16

6.  The International Diabetes Closed-Loop Study: Testing Artificial Pancreas Component Interoperability.

Authors:  Stacey M Anderson; Eyal Dassau; Dan Raghinaru; John Lum; Sue A Brown; Jordan E Pinsker; Mei Mei Church; Carol Levy; David Lam; Yogish C Kudva; Bruce Buckingham; Gregory P Forlenza; R Paul Wadwa; Lori Laffel; Francis J Doyle; J Hans DeVries; Eric Renard; Claudio Cobelli; Federico Boscari; Simone Del Favero; Boris P Kovatchev
Journal:  Diabetes Technol Ther       Date:  2019-01-16       Impact factor: 6.118

Review 7.  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

8.  Postprandial fuzzy adaptive strategy for a hybrid proportional derivative controller for the artificial pancreas.

Authors:  Aleix Beneyto; Josep Vehi
Journal:  Med Biol Eng Comput       Date:  2018-05-03       Impact factor: 2.602

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

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

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