Literature DB >> 16241867

Accuracy of newer-generation home blood glucose meters in a Diabetes Research in Children Network (DirecNet) inpatient exercise study.

Stuart A Weinzimer1, Roy W Beck, H Peter Chase, Larry A Fox, Bruce A Buckingham, William V Tamborlane, Craig Kollman, Julie Coffey, Dongyuan Xing, Katrina J Ruedy.   

Abstract

BACKGROUND: The objective of this study was to assess how the accuracy of the FreeStyle Flash (Abbott Diabetes Care, Alameda, CA) meter compares with that of the One Touch Ultra (Lifescan, Milpitas, CA) home glucose meter (HGM). RESEARCH DESIGN AND METHODS: Fifty children with type 1 diabetes (T1D), 10-17 years old, were admitted for two separate 24-h periods to assess the effect of exercise on subsequent nocturnal hypoglycemia. Resulting data were used in a preplanned analysis of the accuracy of the Ultra and FreeStyle HGMs. Glucose levels were measured throughout the day and night and every 15-20 min during a standardized exercise protocol. Reference samples were assayed in a central laboratory using a hexokinase enzymatic method. These reference glucose measurements were paired with HGM values from venous blood obtained within +/- 5 min.
RESULTS: The median relative absolute difference was 5% for both the Ultra and FreeStyle HGMs, and the percentages of pairs meeting the International Organisation for Standardization criteria were 99% and 98%, respectively. The FreeStyle tended to read slightly higher than the reference method (median difference = +3 mg/dL; P < 0.001), and there was trend in this direction for the Ultra (median difference = +2 mg/dL, P = 0.15). Sensitivities for detection of hypoglycemia (reference < or = 60 and HGM < or = 70 mg/dL) were 96% and 100% for the Ultra and FreeStyle, respectively, and corresponding false-positive rates were both 5%.
CONCLUSIONS: In a controlled clinical setting using venous blood samples, both the Ultra and FreeStyle meters demonstrated a high degree of accuracy compared with the laboratory reference over a broad range of glucose concentrations in children with T1D.

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Year:  2005        PMID: 16241867      PMCID: PMC1351386          DOI: 10.1089/dia.2005.7.675

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


  10 in total

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Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

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Journal:  Diabetes Care       Date:  2002-06       Impact factor: 19.112

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Journal:  Diabetes Care       Date:  2002-06       Impact factor: 19.112

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Authors:  Svein Skeie; Geir Thue; Kari Nerhus; Sverre Sandberg
Journal:  Clin Chem       Date:  2002-07       Impact factor: 8.327

  10 in total
  14 in total

1.  Safety of using real-time sensor glucose values for treatment decisions in adolescents with poorly controlled type 1 diabetes mellitus: a pilot study.

Authors:  Larry A Fox; Emilie Balkman; Kim Englert; Jobayer Hossain; Nelly Mauras
Journal:  Pediatr Diabetes       Date:  2016-07-20       Impact factor: 4.866

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Authors:  Bruce Buckingham
Journal:  J Diabetes Sci Technol       Date:  2008-03

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Authors:  Marc B Taub; Thomas A Peyser; J Erik Rosenquist
Journal:  J Diabetes Sci Technol       Date:  2007-09

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Journal:  J Diabetes Sci Technol       Date:  2007-11

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Authors:  David B Sacks; Mark Arnold; George L Bakris; David E Bruns; Andrea Rita Horvath; M Sue Kirkman; Ake Lernmark; Boyd E Metzger; David M Nathan
Journal:  Diabetes Care       Date:  2011-06       Impact factor: 19.112

6.  The accuracy of the FreeStyle Navigator continuous glucose monitoring system in children with type 1 diabetes.

Authors:  Darrell M Wilson; Roy W Beck; William V Tamborlane; Mariya J Dontchev; Craig Kollman; Peter Chase; Larry A Fox; Katrina J Ruedy; Eva Tsalikian; Stuart A Weinzimer
Journal:  Diabetes Care       Date:  2007-01       Impact factor: 19.112

7.  Prevention of hypoglycemia during exercise in children with type 1 diabetes by suspending basal insulin.

Authors:  Eva Tsalikian; Craig Kollman; William B Tamborlane; Roy W Beck; Rosanna Fiallo-Scharer; Larry Fox; Kathleen F Janz; Katrina J Ruedy; Darrell Wilson; Dongyuan Xing; Stuart A Weinzimer
Journal:  Diabetes Care       Date:  2006-10       Impact factor: 19.112

8.  Diabetes research in children network:availability of protocol data sets.

Authors:  Katrina J Ruedy; Roy W Beck; Dongyuan Xing; Craig Kollman
Journal:  J Diabetes Sci Technol       Date:  2007-09

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Journal:  Pediatr Diabetes       Date:  2008-06       Impact factor: 4.866

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Authors:  Nelly Mauras; Larry Fox; Kimberly Englert; Roy W Beck
Journal:  Endocrine       Date:  2012-08-28       Impact factor: 3.633

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