Literature DB >> 27183197

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.

Trang T Ly1,2, D Barry Keenan3, Anirban Roy3, Jino Han3, Benyamin Grosman3, Martin Cantwell3, Natalie Kurtz3, Rie von Eyben1, Paula Clinton1, Darrell M Wilson1, Bruce A Buckingham1.   

Abstract

OBJECTIVE: This study determined the feasibility and efficacy of an automated proportional-integral-derivative with insulin feedback (PID-IFB) controller in overnight closed-loop (OCL) control of children and adolescents with type 1 diabetes over multiple days in a diabetes camp setting. RESEARCH DESIGN AND METHODS: The Medtronic (Northridge, CA) Android™ (Google, Mountain View, CA)-based PID-IFB system consists of the Medtronic Minimed Revel™ 2.0 pump and Enlite™ sensor, a control algorithm residing on an Android phone, a translator, and remote monitoring capabilities. An inpatient study was completed for 16 participants to determine feasibility. For the camp study, subjects with type 1 diabetes were randomized to either OCL or sensor-augmented pump therapy (control conditions) per night for up to 6 nights at diabetes camp.
RESULTS: During the camp study, 21 subjects completed 50 OCL nights and 52 control nights. Based on intention to treat, the median time spent in range, from 70 to 150 mg/dL, was greater during OCL at 66.4% (n = 55) versus 50.6% (n = 52) during the control period (P = 0.004). A per-protocol analysis allowed for assessment of algorithm performance with the median percentage time in range, 70-150 mg/dL, being 75.5% (n = 37) for OCL versus 47.6% (n = 32) for the control period (P < 0.001). There was less time spent in the hypoglycemic ranges <60 mg/dL and <70 mg/dL during OCL compared with the control period (P = 0.003 and P < 0.001, respectively).
CONCLUSIONS: The PID-IFB controller is effective in improving time spent in range as well as reducing nocturnal hypoglycemia during the overnight period in children and adolescents with type 1 diabetes in a diabetes camp setting.

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Year:  2016        PMID: 27183197     DOI: 10.1089/dia.2015.0431

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  17 in total

1.  A New Animal Model of Insulin-Glucose Dynamics in the Intraperitoneal Space Enhances Closed-Loop Control Performance.

Authors:  Ankush Chakrabarty; Justin M Gregory; L Merkle Moore; Philip E Williams; Ben Farmer; Alan D Cherrington; Peter Lord; Brian Shelton; Don Cohen; Howard C Zisser; Francis J Doyle; Eyal Dassau
Journal:  J Process Control       Date:  2019-02-23       Impact factor: 3.666

2.  Predictive Hyperglycemia and Hypoglycemia Minimization: In-Home Evaluation of Safety, Feasibility, and Efficacy in Overnight Glucose Control in Type 1 Diabetes.

Authors:  Tamara Spaic; Marsha Driscoll; Dan Raghinaru; Bruce A Buckingham; Darrell M Wilson; Paula Clinton; H Peter Chase; David M Maahs; Gregory P Forlenza; Emily Jost; Irene Hramiak; Terri Paul; B Wayne Bequette; Faye Cameron; Roy W Beck; Craig Kollman; John W Lum; Trang T Ly
Journal:  Diabetes Care       Date:  2017-01-18       Impact factor: 19.112

3.  Mitigating Reductions in Glucose During Exercise on Closed-Loop Insulin Delivery: The Ex-Snacks Study.

Authors:  Neha S Patel; Michelle A Van Name; Eda Cengiz; Lori R Carria; Eileen M Tichy; Kate Weyman; Stuart A Weinzimer; William V Tamborlane; Jennifer L Sherr
Journal:  Diabetes Technol Ther       Date:  2016-12       Impact factor: 6.118

4.  Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.

Authors:  Rayhan A Lal; Laya Ekhlaspour; Korey Hood; Bruce Buckingham
Journal:  Endocr Rev       Date:  2019-12-01       Impact factor: 19.871

5.  An Adaptive Nonlinear Basal-Bolus Calculator for Patients With Type 1 Diabetes.

Authors:  Dimitri Boiroux; Tinna Björk Aradóttir; Kirsten Nørgaard; Niels Kjølstad Poulsen; Henrik Madsen; John Bagterp Jørgensen
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

6.  Predictive hyperglycemia and hypoglycemia minimization: In-home double-blind randomized controlled evaluation in children and young adolescents.

Authors:  Gregory P Forlenza; Dan Raghinaru; Faye Cameron; B Wayne Bequette; H Peter Chase; R Paul Wadwa; David M Maahs; Emily Jost; Trang T Ly; Darrell M Wilson; Lisa Norlander; Laya Ekhlaspour; Hyojin Min; Paula Clinton; Nelly Njeru; John W Lum; Craig Kollman; Roy W Beck; Bruce A Buckingham
Journal:  Pediatr Diabetes       Date:  2017-11-20       Impact factor: 4.866

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

Authors:  Ricardo Sánchez-Peña; Patricio Colmegna; Fabricio Garelli; Hernán De Battista; Demián García-Violini; Marcela Moscoso-Vásquez; Nicolás Rosales; Emilia Fushimi; Enrique Campos-Náñez; Marc Breton; Valeria Beruto; Paula Scibona; Cintia Rodriguez; Javier Giunta; Ventura Simonovich; Waldo H Belloso; Daniel Cherñavvsky; Luis Grosembacher
Journal:  J Diabetes Sci Technol       Date:  2018-07-12

8.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03

Review 9.  Insulin delivery and nocturnal glucose control in children and adolescents with type 1 diabetes.

Authors:  Martin Tauschmann; Roman Hovorka
Journal:  Expert Opin Drug Deliv       Date:  2017-08-18       Impact factor: 6.648

10.  One Year Clinical Experience of the First Commercial Hybrid Closed-Loop System.

Authors:  Rayhan A Lal; Marina Basina; David M Maahs; Korey Hood; Bruce Buckingham; Darrell M Wilson
Journal:  Diabetes Care       Date:  2019-09-23       Impact factor: 19.112

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