Literature DB >> 29998754

Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses.

Ricardo Sánchez-Peña1,2, Patricio Colmegna2,3,4, Fabricio Garelli2,5, Hernán De Battista2,5, Demián García-Violini1,2, Marcela Moscoso-Vásquez1,2, Nicolás Rosales5, Emilia Fushimi2,5, Enrique Campos-Náñez6, Marc Breton3, Valeria Beruto7, Paula Scibona7, Cintia Rodriguez7, Javier Giunta7, Ventura Simonovich7, Waldo H Belloso7, Daniel Cherñavvsky7, Luis Grosembacher7.   

Abstract

BACKGROUND: Emerging therapies such as closed-loop (CL) glucose control, also known as artificial pancreas (AP) systems, have shown significant improvement in type 1 diabetes mellitus (T1DM) management. However, demanding patient intervention is still required, particularly at meal times. To reduce treatment burden, the automatic regulation of glucose (ARG) algorithm mitigates postprandial glucose excursions without feedforward insulin boluses. This work assesses feasibility of this new strategy in a clinical trial.
METHODS: A 36-hour pilot study was performed on five T1DM subjects to validate the ARG algorithm. Subjects wore a subcutaneous continuous glucose monitor (CGM) and an insulin pump. Insulin delivery was solely commanded by the ARG algorithm, without premeal insulin boluses. This was the first clinical trial in Latin America to validate an AP controller.
RESULTS: For the total 36-hour period, results were as follows: average time of CGM readings in range 70-250 mg/dl: 88.6%, in range 70-180 mg/dl: 74.7%, <70 mg/dl: 5.8%, and <50 mg/dl: 0.8%. Results improved analyzing the final 15-hour period of this trial. In that case, the time spent in range was 70-250 mg/dl: 94.7%, in range 70-180 mg/dl: 82.6%, <70 mg/dl: 4.1%, and <50 mg/dl: 0.2%. During the last night the time spent in range was 70-250 mg/dl: 95%, in range 70-180 mg/dl: 87.7%, <70 mg/dl: 5.0%, and <50 mg/dl: 0.0%. No severe hypoglycemia occurred. No serious adverse events were reported.
CONCLUSIONS: The ARG algorithm was successfully validated in a pilot clinical trial, encouraging further tests with a larger number of patients and in outpatient settings.

Entities:  

Keywords:  artificial pancreas; carbohydrate counting; clinical trial; sliding mode control; switched control

Mesh:

Substances:

Year:  2018        PMID: 29998754      PMCID: PMC6134619          DOI: 10.1177/1932296818786488

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


  59 in total

1.  A model-based algorithm for blood glucose control in type I diabetic patients.

Authors:  R S Parker; F J Doyle; N A Peppas
Journal:  IEEE Trans Biomed Eng       Date:  1999-02       Impact factor: 4.538

Review 2.  Exercise and the Development of the Artificial Pancreas: One of the More Difficult Series of Hurdles.

Authors:  Michael C Riddell; Dessi P Zaharieva; Loren Yavelberg; Ali Cinar; Veronica K Jamnik
Journal:  J Diabetes Sci Technol       Date:  2015-10-01

3.  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

4.  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

5.  A Simplified Semiquantitative Meal Bolus Strategy Combined with Single- and Dual-Hormone Closed-Loop Delivery in Patients with Type 1 Diabetes: A Pilot Study.

Authors:  Véronique Gingras; Ahmad Haidar; Virginie Messier; Laurent Legault; Martin Ladouceur; Rémi Rabasa-Lhoret
Journal:  Diabetes Technol Ther       Date:  2016-05-18       Impact factor: 6.118

6.  Automated Overnight Closed-Loop Control Using a Proportional-Integral-Derivative Algorithm with Insulin Feedback in Children and Adolescents with Type 1 Diabetes at Diabetes Camp.

Authors:  Trang T Ly; D Barry Keenan; Anirban Roy; Jino Han; Benyamin Grosman; Martin Cantwell; Natalie Kurtz; Rie von Eyben; Paula Clinton; Darrell M Wilson; Bruce A Buckingham
Journal:  Diabetes Technol Ther       Date:  2016-05-16       Impact factor: 6.118

7.  The UVA/PADOVA Type 1 Diabetes Simulator: New Features.

Authors:  Chiara Dalla Man; Francesco Micheletto; Dayu Lv; Marc Breton; Boris Kovatchev; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2014-01-01

8.  Feasibility of a portable bihormonal closed-loop system to control glucose excursions at home under free-living conditions for 48 hours.

Authors:  Arianne C van Bon; Yoeri M Luijf; Rob Koebrugge; Robin Koops; Joost B L Hoekstra; J Hans DeVries
Journal:  Diabetes Technol Ther       Date:  2013-11-13       Impact factor: 6.118

9.  Feasibility of Outpatient 24-Hour Closed-Loop Insulin Delivery.

Authors:  Martin I de Bock; Anirban Roy; Matthew N Cooper; Julie A Dart; Carolyn L Berthold; Adam J Retterath; Kate E Freeman; Benyamin Grosman; Natalie Kurtz; Fran Kaufman; Timothy W Jones; Elizabeth A Davis
Journal:  Diabetes Care       Date:  2015-08-27       Impact factor: 19.112

10.  Performance and safety of an integrated bihormonal artificial pancreas for fully automated glucose control at home.

Authors:  H Blauw; A C van Bon; R Koops; J H DeVries
Journal:  Diabetes Obes Metab       Date:  2016-04-25       Impact factor: 6.577

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  4 in total

1.  Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement.

Authors:  Emilia Fushimi; Patricio Colmegna; Hernán De Battista; Fabricio Garelli; Ricardo Sánchez-Peña
Journal:  J Diabetes Sci Technol       Date:  2019-07-24

2.  Oral delivery of insulin with intelligent glucose-responsive switch for blood glucose regulation.

Authors:  Xia Zhou; Hongwei Wu; Ruimin Long; Shibin Wang; Haiwang Huang; Yanhua Xia; Pei Wang; Yifeng Lei; Yuanyuan Cai; Duanhua Cai; Yuangang Liu
Journal:  J Nanobiotechnology       Date:  2020-07-14       Impact factor: 10.435

3.  Impact of Accelerating Insulin on an Artificial Pancreas System Without Meal Announcement: An In Silico Examination.

Authors:  Patricio Colmegna; Eda Cengiz; Jose Garcia-Tirado; Kristen Kraemer; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2020-06-17

4.  Dynamic Rule-Based Algorithm to Tune Insulin-on-Board Constraints for a Hybrid Artificial Pancreas System.

Authors:  Arthur Bertachi; Lyvia Biagi; Aleix Beneyto; Josep Vehí
Journal:  J Healthc Eng       Date:  2020-01-11       Impact factor: 2.682

  4 in total

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