Literature DB >> 22226253

AP@home: a novel European approach to bring the artificial pancreas home.

Lutz Heinemann1, Carsten Benesch, J Hans DeVries.   

Abstract

The development of an artificial pancreas (AP) made huge strides from 2006 to 2008 and a large number of activities are going on in this area of research. Until now, most AP systems under development were tested only under highly controlled conditions. The aim of our project, funded by the European Union, is to develop an AP system to such a level that it can be studied under daily life conditions at the home of patients with diabetes (hence AP@home). Based on a subcutaneous-subcutaneous closed-loop strategy (i.e., glucose sensing and insulin infusion in the subcutaneous tissue), two different approaches will be taken to achieve this aim: a two-port AP system and a single-port AP system. The two-port AP system will use off-the-shelf-components for the glucose sensor and insulin pump in combination with closed-loop algorithms generated in Europe. As to the single-port AP system, two different innovative single-port systems will be developed; in this case, continuous glucose monitoring and insulin infusion will take place via a single catheter. The first clinical trials with the two-port AP system under controlled clinical conditions have started and good progress has been made in the development of the single-port AP systems. We believe that our consortium of 12 European partners, which builds on existing achievements and close cooperation between academic centers and industry, can contribute substantially to the development of an AP system that can be used by patients in daily life.
© 2011 Diabetes Technology Society.

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Year:  2011        PMID: 22226253      PMCID: PMC3262702          DOI: 10.1177/193229681100500607

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  33 in total

1.  An online self-tunable method to denoise CGM sensor data.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli
Journal:  IEEE Trans Biomed Eng       Date:  2009-10-09       Impact factor: 4.538

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.  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

4.  Run-to-run tuning of model predictive control for type 1 diabetes subjects: in silico trial.

Authors:  Lalo Magni; Marco Forgione; Chiara Toffanin; Chiara Dalla Man; Boris Kovatchev; Giuseppe De Nicolao; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

5.  Selective holographic detection of glucose using tertiary amines.

Authors:  Kathryn E S Dean; Adrian M Horgan; Alexander J Marshall; Satyamoorthy Kabilan; John Pritchard
Journal:  Chem Commun (Camb)       Date:  2006-06-14       Impact factor: 6.222

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.  Continuous blood glucose monitoring with a thin-film optical sensor.

Authors:  Graham J Worsley; Guilhem A Tourniaire; Kathryn E S Medlock; Felicity K Sartain; Hazel E Harmer; Michael Thatcher; Adrian M Horgan; John Pritchard
Journal:  Clin Chem       Date:  2007-08-23       Impact factor: 8.327

8.  Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients.

Authors:  Christoph Pachler; Johannes Plank; Heinz Weinhandl; Ludovic J Chassin; Malgorzata E Wilinska; Roman Kulnik; Peter Kaufmann; Karl-Heinz Smolle; Ernst Pilger; Thomas R Pieber; Martin Ellmerer; Roman Hovorka
Journal:  Intensive Care Med       Date:  2008-02-23       Impact factor: 17.440

Review 9.  "Smart" continuous glucose monitoring sensors: on-line signal processing issues.

Authors:  Giovanni Sparacino; Andrea Facchinetti; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2010-07-12       Impact factor: 3.576

10.  Use of the site of subcutaneous insulin administration for the measurement of glucose in patients with type 1 diabetes.

Authors:  Stefan Lindpointner; Stefan Korsatko; Gerd Köhler; Hans Köhler; Roland Schaller; Ruthy Kaidar; Ofer Yodfat; Lukas Schaupp; Martin Ellmerer; Thomas R Pieber; Werner Regittnig
Journal:  Diabetes Care       Date:  2009-12-29       Impact factor: 17.152

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  15 in total

1.  Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

2.  Special issue on emerging technologies for the management of diabetes mellitus.

Authors:  Konstantia Zarkogianni; Konstantina S Nikita
Journal:  Med Biol Eng Comput       Date:  2015-12       Impact factor: 2.602

Review 3.  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

4.  Patch pump versus conventional pump: postprandial glycemic excursions and the influence of wear time.

Authors:  Yoeri M Luijf; Sabine Arnolds; Angelo Avogaro; Carsten Benesch; Daniela Bruttomesso; Anne Farret; Lutz Heinemann; Jerome Place; Eric Renard; Rachele Scotton; J Hans DeVries
Journal:  Diabetes Technol Ther       Date:  2013-05-07       Impact factor: 6.118

5.  Designing an artificial pancreas architecture: the AP@home experience.

Authors:  Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

Review 6.  A Review of Emerging Technologies for the Management of Diabetes Mellitus.

Authors:  Konstantia Zarkogianni; Eleni Litsa; Konstantinos Mitsis; Po-Yen Wu; Chanchala D Kaddi; Chih-Wen Cheng; May D Wang; Konstantina S Nikita
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-19       Impact factor: 4.538

Review 7.  What Are the Next Steps in Continuous Glucose Monitoring?

Authors:  Volker Lodwig; Bernhard Kulzer; Oliver Schnell; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2014-03-13

8.  DiAs web monitoring: a real-time remote monitoring system designed for artificial pancreas outpatient trials.

Authors:  Jérôme Place; Antoine Robert; Najib Ben Brahim; Patrick Keith-Hynes; Anne Farret; Marie-Josée Pelletier; Bruce Buckingham; Marc Breton; Boris Kovatchev; Eric Renard
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

Review 9.  A review of artificial pancreas technologies with an emphasis on bi-hormonal therapy.

Authors:  P A Bakhtiani; L M Zhao; J El Youssef; J R Castle; W K Ward
Journal:  Diabetes Obes Metab       Date:  2013-04-21       Impact factor: 6.577

10.  Evaluating the Performance of a Novel Embedded Closed-loop System.

Authors:  Lalantha Leelarathna; Hood Thabit; Janet M Allen; Marianna Nodale; Malgorzata E Wilinska; Kevin Powell; Stephen Lane; Mark L Evans; Roman Hovorka
Journal:  J Diabetes Sci Technol       Date:  2014-03-24
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