Literature DB >> 17705686

The Medtronic Minimed Gold continuous glucose monitoring system: an effective means to discover hypo- and hyperglycemia in children under 7 years of age.

Laura M Gandrud1, Dongyuan Xing, Craig Kollman, Jen M Block, Betsy Kunselman, Darrell M Wilson, Bruce A Buckingham.   

Abstract

BACKGROUND: The glycemic patterns of children less than 7 years with type 1 diabetes have not been well studied using continuous glucose monitoring. Our goal was to assess the incidence of hypoglycemia as well as postprandial glycemic patterns in this age group utilizing continuous glucose monitoring.
METHODS: Nineteen children used the Medtronic MiniMed (Northridge, CA) CGMS System Gold on three to seven occasions over approximately 6 months.
RESULTS: Nineteen children (nine girls and 10 boys; mean age 4.8 +/- 1.4 years, range 1.6-6.8 years) used the CGMS 102 times, providing 434 days of data; 79% of days were optimal based on CGMS Solutions software version 3.0. Mild hypoglycemia (glucose <or=70 mg/dL) was noted during 28% of 323 nights. When compared to paired meter blood glucose values, the false-positive rate was 16% for mild and 55% for severe sensor hypoglycemia. The mean peak glucose during the 3 h following breakfast (247 +/- 64 mg/dL) was higher than following lunch (199 +/- 67 mg/dL) or dinner (194 +/- 63 mg/dL). The rate of glucose rise to peak was >or=2 mg/dL/min following 50% of breakfasts. Children with hemoglobin A1c levels >or=8% had higher postprandial glucose concentrations. There was no significant advantage of continuous subcutaneous insulin infusion therapy over multiple daily injection therapy in decreasing postprandial hyperglycemia.
CONCLUSIONS: CGMS tracings from young children with diabetes demonstrate frequent mild nocturnal hypoglycemia and significant postprandial hyperglycemia, with a rapid rise in glucose following the meal. The most rapid rate of rise and the most severe postprandial hyperglycemia occurred after breakfast.

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Year:  2007        PMID: 17705686     DOI: 10.1089/dia.2007.0026

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


  17 in total

1.  Use of continuous glucose monitoring in young children with type 1 diabetes: implications for behavioral research.

Authors:  Susana R Patton; Laura B Williams; Sally J Eder; Megan J Crawford; Lawrence Dolan; Scott W Powers
Journal:  Pediatr Diabetes       Date:  2011-02       Impact factor: 4.866

2.  Real-time continuous glucose monitoring in the clinical setting: the good, the bad, and the practical.

Authors:  Irene Mamkin; Svetlana Ten; Sonal Bhandari; Neesha Ramchandani
Journal:  J Diabetes Sci Technol       Date:  2008-09

Review 3.  Use of technology when assessing adherence to diabetes self-management behaviors.

Authors:  Kimberly A Driscoll; Deborah Young-Hyman
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

4.  Benefits of blinded continuous glucose monitoring during a randomized clinical trial.

Authors:  Douglas Muchmore; Melissa Sharp; Daniel Vaughn
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

5.  Discrepancies Between Blood Glucose and Interstitial Glucose-Technological Artifacts or Physiology: Implications for Selection of the Appropriate Therapeutic Target.

Authors:  Thorsten Siegmund; Lutz Heinemann; Ralf Kolassa; Andreas Thomas
Journal:  J Diabetes Sci Technol       Date:  2017-03-21

6.  Artificial Pancreas in Young Children.

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

7.  Clinical Use of Continuous Glucose Monitoring in Pediatrics.

Authors:  Rayhan A Lal; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

8.  The Association Between Glycemic Variability and Macronutrients in Young Children with T1D.

Authors:  Alexandra D Monzon; Laura B Smith; Scott W Powers; Lawrence M Dolan; Susana R Patton
Journal:  J Pediatr Psychol       Date:  2020-08-01

9.  Feasibility of prolonged continuous glucose monitoring in toddlers with type 1 diabetes.

Authors:  Eva Tsalikian; Larry Fox; Stuart Weinzimer; Bruce Buckingham; Neil H White; Roy Beck; Craig Kollman; Dongyuan Xing; Katrina Ruedy
Journal:  Pediatr Diabetes       Date:  2011-12-13       Impact factor: 4.866

10.  Real-Time hypoglycemia prediction suite using continuous glucose monitoring: a safety net for the artificial pancreas.

Authors:  Eyal Dassau; Fraser Cameron; Hyunjin Lee; B Wayne Bequette; Howard Zisser; Lois Jovanovic; H Peter Chase; Darrell M Wilson; Bruce A Buckingham; Francis J Doyle
Journal:  Diabetes Care       Date:  2010-06       Impact factor: 17.152

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