Literature DB >> 28584075

Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial.

Gregory P Forlenza1, Sunil Deshpande2,3, Trang T Ly4, Daniel P Howsmon5, Faye Cameron5, Nihat Baysal5, Eric Mauritzen6, Tatiana Marcal4, Lindsey Towers1, B Wayne Bequette5, Lauren M Huyett3,7, Jordan E Pinsker3, Ravi Gondhalekar2,3, Francis J Doyle2,3, David M Maahs1,4, Bruce A Buckingham4, Eyal Dassau8,3.   

Abstract

OBJECTIVE: As artificial pancreas (AP) becomes standard of care, consideration of extended use of insulin infusion sets (IIS) and continuous glucose monitors (CGMs) becomes vital. We conducted an outpatient randomized crossover study to test the safety and efficacy of a zone model predictive control (zone-MPC)-based AP system versus sensor augmented pump (SAP) therapy in which IIS and CGM failures were provoked via extended wear to 7 and 21 days, respectively. RESEARCH DESIGN AND METHODS: A smartphone-based AP system was used by 19 adults (median age 23 years [IQR 10], mean 8.0 ± 1.7% HbA1c) over 2 weeks and compared with SAP therapy for 2 weeks in a crossover, unblinded outpatient study with remote monitoring in both study arms.
RESULTS: AP improved percent time 70-140 mg/dL (48.1 vs. 39.2%; P = 0.016) and time 70-180 mg/dL (71.6 vs. 65.2%; P = 0.008) and decreased median glucose (141 vs. 153 mg/dL; P = 0.036) and glycemic variability (SD 52 vs. 55 mg/dL; P = 0.044) while decreasing percent time <70 mg/dL (1.3 vs. 2.7%; P = 0.001). AP also improved overnight control, as measured by mean glucose at 0600 h (140 vs. 158 mg/dL; P = 0.02). IIS failures (1.26 ± 1.44 vs. 0.78 ± 0.78 events; P = 0.13) and sensor failures (0.84 ± 0.6 vs. 1.1 ± 0.73 events; P = 0.25) were similar between AP and SAP arms. Higher percent time in closed loop was associated with better glycemic outcomes.
CONCLUSIONS: Zone-MPC significantly and safely improved glycemic control in a home-use environment despite prolonged CGM and IIS wear. This project represents the first home-use AP study attempting to provoke and detect component failure while successfully maintaining safety and effective glucose control.
© 2017 by the American Diabetes Association.

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Year:  2017        PMID: 28584075      PMCID: PMC5521973          DOI: 10.2337/dc17-0500

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  33 in total

1.  Randomized trial of infusion set function: steel versus teflon.

Authors:  Parul J Patel; Kari Benasi; Gina Ferrari; Mark G Evans; Satya Shanmugham; Darrell M Wilson; Bruce A Buckingham
Journal:  Diabetes Technol Ther       Date:  2013-10-03       Impact factor: 6.118

2.  Control to range for diabetes: functionality and modular architecture.

Authors:  Boris Kovatchev; Stephen Patek; Eyal Dassau; Francis J Doyle; Lalo Magni; Giuseppe De Nicolao; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

3.  Effect of insulin feedback on closed-loop glucose control: a crossover study.

Authors:  Jessica L Ruiz; Jennifer L Sherr; Eda Cengiz; Lori Carria; Anirban Roy; Gayane Voskanyan; William V Tamborlane; Stuart A Weinzimer
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

4.  Safety constraints in an artificial pancreatic beta cell: an implementation of model predictive control with insulin on board.

Authors:  Christian Ellingsen; Eyal Dassau; Howard Zisser; Benyamin Grosman; Matthew W Percival; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

5.  Design of the health monitoring system for the artificial pancreas: low glucose prediction module.

Authors:  Rebecca A Harvey; Eyal Dassau; Howard Zisser; Dale E Seborg; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2012-11-01

6.  Use of a "fuzzy logic" controller in a closed-loop artificial pancreas.

Authors:  Richard Mauseth; Irl B Hirsch; Jennifer Bollyky; Robert Kircher; Don Matheson; Srinath Sanda; Carla Greenbaum
Journal:  Diabetes Technol Ther       Date:  2013-07-05       Impact factor: 6.118

7.  Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial.

Authors:  Roman Hovorka; Janet M Allen; Daniela Elleri; Ludovic J Chassin; Julie Harris; Dongyuan Xing; Craig Kollman; Tomas Hovorka; Anne Mette F Larsen; Marianna Nodale; Alessandra De Palma; Malgorzata E Wilinska; Carlo L Acerini; David B Dunger
Journal:  Lancet       Date:  2010-02-04       Impact factor: 79.321

8.  Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events.

Authors:  Benyamin Grosman; Eyal Dassau; Howard C Zisser; Lois Jovanovic; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

Review 9.  Insulin infusion set: the Achilles heel of continuous subcutaneous insulin infusion.

Authors:  Lutz Heinemann; Lars Krinelke
Journal:  J Diabetes Sci Technol       Date:  2012-07-01

10.  Translating the A1C assay into estimated average glucose values.

Authors:  David M Nathan; Judith Kuenen; Rikke Borg; Hui Zheng; David Schoenfeld; Robert J Heine
Journal:  Diabetes Care       Date:  2008-06-07       Impact factor: 19.112

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  18 in total

1.  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

2.  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

3.  Controlling the AP Controller: Controller Performance Assessment and Modification.

Authors:  Iman Hajizadeh; Nicole Hobbs; Sediqeh Samadi; Mert Sevil; Mudassir Rashid; Rachel Brandt; Mohammad Reza Askari; Zacharie Maloney; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2019-09-27

4.  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

Review 5.  Artificial Pancreas: Current Progress and Future Outlook in the Treatment of Type 1 Diabetes.

Authors:  Rozana Ramli; Monika Reddy; Nick Oliver
Journal:  Drugs       Date:  2019-07       Impact factor: 9.546

6.  Factory-Calibrated Continuous Glucose Monitoring: How and Why It Works, and the Dangers of Reuse Beyond Approved Duration of Wear.

Authors:  Gregory P Forlenza; Taisa Kushner; Laurel H Messer; R Paul Wadwa; Sriram Sankaranarayanan
Journal:  Diabetes Technol Ther       Date:  2019-02-28       Impact factor: 6.118

7.  Design and Clinical Evaluation of the Interoperable Artificial Pancreas System (iAPS) Smartphone App: Interoperable Components with Modular Design for Progressive Artificial Pancreas Research and Development.

Authors:  Sunil Deshpande; Jordan E Pinsker; Stamatina Zavitsanou; Dawei Shi; Randy Tompot; Mei Mei Church; Camille Andre; Francis J Doyle; Eyal Dassau
Journal:  Diabetes Technol Ther       Date:  2018-12-14       Impact factor: 6.118

8.  Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Automatica (Oxf)       Date:  2018-03-20       Impact factor: 5.944

9.  Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas.

Authors:  Daniel P Howsmon; Nihat Baysal; Bruce A Buckingham; Gregory P Forlenza; Trang T Ly; David M Maahs; Tatiana Marcal; Lindsey Towers; Eric Mauritzen; Sunil Deshpande; Lauren M Huyett; Jordan E Pinsker; Ravi Gondhalekar; Francis J Doyle; Eyal Dassau; Juergen Hahn; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2018-02-01

10.  Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties.

Authors:  Dawei Shi; Eyal Dassau; Francis J Doyle
Journal:  IEEE Trans Biomed Eng       Date:  2018-08-21       Impact factor: 4.538

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