Literature DB >> 27125223

In-home nighttime predictive low glucose suspend experience in children and adults with type 1 diabetes.

Laurel H Messer1, Peter Calhoun2, Bruce Buckingham3, Darrell M Wilson3, Irene Hramiak4, Trang T Ly3, Marsha Driscoll5, Paula Clinton3, David M Maahs1.   

Abstract

Overnight predictive low glucose suspend (PLGS) reduces hypoglycemia across all ages; however, there are no reports on behavior or experience differences across age groups, especially in pediatrics. As run-in for a subsequent randomized clinical trial (RCT), 127 subjects (50% male) ages 4-45 yr utilized the experimental PLGS system nightly for 5-10 nights (PLGS active phase). We analyzed the number of blood glucose (BG) checks and boluses given per age group. During the subsequent 42 night RCT phase, we analyzed sensor use, skin reactions, errors, and reasons why the experimental system was not used. In 821 nights of active PLGS, subjects ages 4-6 yr (and their parents) tested BG levels 75% of nights compared with 65% of nights (7-10 yr), 53% of nights (11-14 yr), 33% of nights (15-25 yr), and 28% of nights (26-45 yr), respectively (p < 0.001). Likewise, youngest subjects (and parents) administered insulin boluses 56% of nights during active PLGS use compared with 48%, 33%, 20%, and 25%, respectively (p < 0.001). This was unrelated to study requirements. During the RCT phase, subjects 4-6 yr experienced more frequent and severe skin reactions (p = 0.02), while adult subjects (26-45 yr) wore individual sensors a median of 26 h longer than the youngest subjects (p < 0.001). Technical problems with the sensor (errors, miscalibrations, etc.), traveling, and BG levels >270 at bedtime (study requirement) were primary contributors to non-system use. Understanding the different use patterns and challenges in pediatrics and adolescence is needed to direct patient education to optimize use of PLGS and future artificial pancreas systems.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  artificial pancreas; pediatrics; type 1 diabetes

Mesh:

Substances:

Year:  2016        PMID: 27125223      PMCID: PMC5086306          DOI: 10.1111/pedi.12395

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  19 in total

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Authors:  Orla M Neylon; Timothy C Skinner; Michele A O'Connell; Fergus J Cameron
Journal:  Pediatr Diabetes       Date:  2015-01-30       Impact factor: 4.866

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Authors:  Keira Evans; Christine Richardson; Alanna Landry; Janice Muileboom; Lynne Cormack; Margaret L Lawson
Journal:  Diabetes Educ       Date:  2014-12-15       Impact factor: 2.140

3.  Pathway to artificial pancreas systems revisited: moving downstream.

Authors:  Aaron Kowalski
Journal:  Diabetes Care       Date:  2015-06       Impact factor: 19.112

4.  Current state of type 1 diabetes treatment in the U.S.: updated data from the T1D Exchange clinic registry.

Authors:  Kellee M Miller; Nicole C Foster; Roy W Beck; Richard M Bergenstal; Stephanie N DuBose; Linda A DiMeglio; David M Maahs; William V Tamborlane
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5.  Use of an artificial pancreas among adolescents for a missed snack bolus and an underestimated meal bolus.

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Journal:  Pediatr Diabetes       Date:  2014-10-27       Impact factor: 4.866

6.  Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm.

Authors:  Fraser Cameron; Darrell M Wilson; Bruce A Buckingham; Hasmik Arzumanyan; Paula Clinton; H Peter Chase; John Lum; David M Maahs; Peter M Calhoun; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

7.  Prevention of nocturnal hypoglycemia using predictive alarm algorithms and insulin pump suspension.

Authors:  Bruce Buckingham; H Peter Chase; Eyal Dassau; Erin Cobry; Paula Clinton; Victoria Gage; Kimberly Caswell; John Wilkinson; Fraser Cameron; Hyunjin Lee; B Wayne Bequette; Francis J Doyle
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8.  Predictive Low-Glucose Insulin Suspension Reduces Duration of Nocturnal Hypoglycemia in Children Without Increasing Ketosis.

Authors:  Bruce A Buckingham; Dan Raghinaru; Fraser Cameron; B Wayne Bequette; H Peter Chase; David M Maahs; Robert Slover; R Paul Wadwa; Darrell M Wilson; Trang Ly; Tandy Aye; Irene Hramiak; Cheril Clarson; Robert Stein; Patricia H Gallego; John Lum; Judy Sibayan; Craig Kollman; Roy W Beck
Journal:  Diabetes Care       Date:  2015-06-06       Impact factor: 19.112

9.  Most youth with type 1 diabetes in the T1D Exchange Clinic Registry do not meet American Diabetes Association or International Society for Pediatric and Adolescent Diabetes clinical guidelines.

Authors:  Jamie R Wood; Kellee M Miller; David M Maahs; Roy W Beck; Linda A DiMeglio; Ingrid M Libman; Maryanne Quinn; William V Tamborlane; Stephanie E Woerner
Journal:  Diabetes Care       Date:  2013-01-22       Impact factor: 19.112

10.  A randomized trial of a home system to reduce nocturnal hypoglycemia in type 1 diabetes.

Authors:  David M Maahs; Peter Calhoun; Bruce A Buckingham; H Peter Chase; Irene Hramiak; John Lum; Fraser Cameron; B Wayne Bequette; Tandy Aye; Terri Paul; Robert Slover; R Paul Wadwa; Darrell M Wilson; Craig Kollman; Roy W Beck
Journal:  Diabetes Care       Date:  2014-05-07       Impact factor: 19.112

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  5 in total

1.  Artificial Pancreas in Young Children.

Authors:  Rebecca A Ohman-Hanson; Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

2.  Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction.

Authors:  Darpit Dave; Daniel J DeSalvo; Balakrishna Haridas; Siripoom McKay; Akhil Shenoy; Chester J Koh; Mark Lawley; Madhav Erraguntla
Journal:  J Diabetes Sci Technol       Date:  2020-06-01

3.  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

4.  "Let the Algorithm Do the Work": Reduction of Hypoglycemia Using Sensor-Augmented Pump Therapy with Predictive Insulin Suspension (SmartGuard) in Pediatric Type 1 Diabetes Patients.

Authors:  Torben Biester; Olga Kordonouri; Martin Holder; Kerstin Remus; Dorothee Kieninger-Baum; Tanja Wadien; Thomas Danne
Journal:  Diabetes Technol Ther       Date:  2017-01-18       Impact factor: 6.118

Review 5.  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

  5 in total

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