Literature DB >> 22688340

Fully integrated artificial pancreas in type 1 diabetes: modular closed-loop glucose control maintains near normoglycemia.

Marc Breton1, Anne Farret, Daniela Bruttomesso, Stacey Anderson, Lalo Magni, Stephen Patek, Chiara Dalla Man, Jerome Place, Susan Demartini, Simone Del Favero, Chiara Toffanin, Colleen Hughes-Karvetski, Eyal Dassau, Howard Zisser, Francis J Doyle, Giuseppe De Nicolao, Angelo Avogaro, Claudio Cobelli, Eric Renard, Boris Kovatchev.   

Abstract

Integrated closed-loop control (CLC), combining continuous glucose monitoring (CGM) with insulin pump (continuous subcutaneous insulin infusion [CSII]), known as artificial pancreas, can help optimize glycemic control in diabetes. We present a fundamental modular concept for CLC design, illustrated by clinical studies involving 11 adolescents and 27 adults at the Universities of Virginia, Padova, and Montpellier. We tested two modular CLC constructs: standard control to range (sCTR), designed to augment pump plus CGM by preventing extreme glucose excursions; and enhanced control to range (eCTR), designed to truly optimize control within near normoglycemia of 3.9-10 mmol/L. The CLC system was fully integrated using automated data transfer CGM→algorithm→CSII. All studies used randomized crossover design comparing CSII versus CLC during identical 22-h hospitalizations including meals, overnight rest, and 30-min exercise. sCTR increased significantly the time in near normoglycemia from 61 to 74%, simultaneously reducing hypoglycemia 2.7-fold. eCTR improved mean blood glucose from 7.73 to 6.68 mmol/L without increasing hypoglycemia, achieved 97% in near normoglycemia and 77% in tight glycemic control, and reduced variability overnight. In conclusion, sCTR and eCTR represent sequential steps toward automated CLC, preventing extremes (sCTR) and further optimizing control (eCTR). This approach inspires compelling new concepts: modular assembly, sequential deployment, testing, and clinical acceptance of custom-built CLC systems tailored to individual patient needs.

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Year:  2012        PMID: 22688340      PMCID: PMC3425406          DOI: 10.2337/db11-1445

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  32 in total

1.  Comparison of Borg- and OMNI-RPE as markers of the blood lactate response to exercise.

Authors:  Brian A Irving; Jason Rutkowski; David W Brock; Christopher K Davis; Eugene J Barrett; Glenn A Gaesser; Arthur Weltman
Journal:  Med Sci Sports Exerc       Date:  2006-07       Impact factor: 5.411

2.  Statistical tools to analyze continuous glucose monitor data.

Authors:  William Clarke; Boris Kovatchev
Journal:  Diabetes Technol Ther       Date:  2009-06       Impact factor: 6.118

3.  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

4.  Multinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results.

Authors:  Boris Kovatchev; Claudio Cobelli; Eric Renard; Stacey Anderson; Marc Breton; Stephen Patek; William Clarke; Daniela Bruttomesso; Alberto Maran; Silvana Costa; Angelo Avogaro; Chiara Dalla Man; Andrea Facchinetti; Lalo Magni; Giuseppe De Nicolao; Jerome Place; Anne Farret
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

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.  Feasibility of automating insulin delivery for the treatment of type 1 diabetes.

Authors:  Garry M Steil; Kerstin Rebrin; Christine Darwin; Farzam Hariri; Mohammed F Saad
Journal:  Diabetes       Date:  2006-12       Impact factor: 9.461

7.  Modular closed-loop control of diabetes.

Authors:  S D Patek; L Magni; E Dassau; C Karvetski; C Toffanin; G De Nicolao; S Del Favero; M Breton; C Dalla Man; E Renard; H Zisser; F J Doyle; C Cobelli; B P Kovatchev
Journal:  IEEE Trans Biomed Eng       Date:  2012-04-03       Impact factor: 4.538

8.  A Run-to-Run Control Strategy to Adjust Basal Insulin Infusion Rates in Type 1 Diabetes.

Authors:  Cesar C Palerm; Howard Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Process Control       Date:  2008       Impact factor: 3.666

Review 9.  Banting Lecture. Hypoglycemia: the limiting factor in the management of IDDM.

Authors:  P E Cryer
Journal:  Diabetes       Date:  1994-11       Impact factor: 9.461

Review 10.  Artificial pancreas: past, present, future.

Authors:  Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal:  Diabetes       Date:  2011-11       Impact factor: 9.461

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  121 in total

1.  Classification of Physical Activity: Information to Artificial Pancreas Control Systems in Real Time.

Authors:  Kamuran Turksoy; Thiago Marques Luz Paulino; Dessi P Zaharieva; Loren Yavelberg; Veronica Jamnik; Michael C Riddell; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2015-10-06

2.  Report from IPITA-TTS Opinion Leaders Meeting on the Future of β-Cell Replacement.

Authors:  Stephen T Bartlett; James F Markmann; Paul Johnson; Olle Korsgren; Bernhard J Hering; David Scharp; Thomas W H Kay; Jonathan Bromberg; Jon S Odorico; Gordon C Weir; Nancy Bridges; Raja Kandaswamy; Peter Stock; Peter Friend; Mitsukazu Gotoh; David K C Cooper; Chung-Gyu Park; Phillip OʼConnell; Cherie Stabler; Shinichi Matsumoto; Barbara Ludwig; Pratik Choudhary; Boris Kovatchev; Michael R Rickels; Megan Sykes; Kathryn Wood; Kristy Kraemer; Albert Hwa; Edward Stanley; Camillo Ricordi; Mark Zimmerman; Julia Greenstein; Eduard Montanya; Timo Otonkoski
Journal:  Transplantation       Date:  2016-02       Impact factor: 4.939

3.  Algorithms for a closed-loop artificial pancreas: the case for proportional-integral-derivative control.

Authors:  Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

4.  Artificial pancreas goes outpatient: a new diabetes ecosystem.

Authors:  Eric Renard; Claudio Cobelli; Howard C Zisser; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

5.  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

6.  Preliminary evaluation of a new semi-closed-loop insulin therapy system over the prandial period in adult patients with type 1 diabetes: the WP6.0 Diabeloop study.

Authors:  Marie Aude Quemerais; Maeva Doron; Florent Dutrech; Vincent Melki; Sylvia Franc; Michel Antonakios; Guillaume Charpentier; Helene Hanaire; Pierre Yves Benhamou
Journal:  J Diabetes Sci Technol       Date:  2014-08-04

7.  Clinical Impact of Blood Glucose Monitoring Accuracy: An In-Silico Study.

Authors:  Enrique Campos-Náñez; Kurt Fortwaengler; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2017-06-01

Review 8.  Technology to optimize pediatric diabetes management and outcomes.

Authors:  Jessica T Markowitz; Kara R Harrington; Lori M B Laffel
Journal:  Curr Diab Rep       Date:  2013-12       Impact factor: 4.810

9.  Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Automatica (Oxf)       Date:  2016-06-01       Impact factor: 5.944

10.  Evaluating the accuracy and large inaccuracy of two continuous glucose monitoring systems.

Authors:  Lalantha Leelarathna; Marianna Nodale; Janet M Allen; Daniela Elleri; Kavita Kumareswaran; Ahmad Haidar; Karen Caldwell; Malgorzata E Wilinska; Carlo L Acerini; Mark L Evans; Helen R Murphy; David B Dunger; Roman Hovorka
Journal:  Diabetes Technol Ther       Date:  2012-12-20       Impact factor: 6.118

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