Literature DB >> 20167167

Alarm characterization for a continuous glucose monitor that replaces traditional blood glucose monitoring.

Geoffrey McGarraugh1.   

Abstract

BACKGROUND: Continuous glucose monitoring (CGM) devices available in the United States are approved for use as adjuncts to self-monitoring of blood glucose (SMBG); all CGM alarms require SMBG confirmation before treatment. In this report, an analysis method is proposed to determine the CGM threshold alarm accuracy required to eliminate SMBG confirmation.
METHOD: The proposed method builds on the Clinical and Laboratory Standards Institute (CLSI) guideline for evaluating CGM threshold alarms using data from an in-clinic study of subjects with type 1 diabetes. The CLSI method proposes a maximum time limit of +/-30 minutes for the detection of hypo- and hyperglycemic events but does not include limits for glucose measurement accuracy. The International Standards Organization (ISO) standard for SMBG glucose measurement accuracy (ISO 15197) is +/-15 mg/dl for glucose <75 mg/dl and +/-20% for glucose > or = 75 mg/dl. This standard was combined with the CLSI method to more completely characterize the accuracy of CGM alarms.
RESULTS: Incorporating the ISO 15197 accuracy margins, FreeStyle Navigator CGM system alarms detected 70 mg/dl hypoglycemia within 30 minutes at a rate of 70.3%, with a false alarm rate of 11.4%. The device detected high glucose in the range of 140-300 mg/dl within 30 minutes at an average rate of 99.2%, with a false alarm rate of 2.1%.
CONCLUSION: Self-monitoring of blood glucose confirmation is necessary for detecting and treating hypoglycemia with the FreeStyle Navigator CGM system, but at high glucose levels, SMBG confirmation adds little incremental value to CGM alarms. 2010 Diabetes Technology Society.

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Year:  2010        PMID: 20167167      PMCID: PMC2825624          DOI: 10.1177/193229681000400107

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


  4 in total

1.  Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data.

Authors:  Boris P Kovatchev; Linda A Gonder-Frederick; Daniel J Cox; William L Clarke
Journal:  Diabetes Care       Date:  2004-08       Impact factor: 19.112

2.  Response to nocturnal alarms using a real-time glucose sensor.

Authors:  Bruce Buckingham; Jen Block; Jonathan Burdick; Andrea Kalajian; Craig Kollman; Michael Choy; Darrell M Wilson; Peter Chase
Journal:  Diabetes Technol Ther       Date:  2005-06       Impact factor: 6.118

3.  Accuracy of the 5-day FreeStyle Navigator Continuous Glucose Monitoring System: comparison with frequent laboratory reference measurements.

Authors:  Richard L Weinstein; Sherwyn L Schwartz; Ronald L Brazg; Jolyon R Bugler; Thomas A Peyser; Geoffrey V McGarraugh
Journal:  Diabetes Care       Date:  2007-03-02       Impact factor: 19.112

4.  Detection of hypoglycemia with continuous interstitial and traditional blood glucose monitoring using the FreeStyle Navigator Continuous Glucose Monitoring System.

Authors:  Geoffrey McGarraugh; Richard Bergenstal
Journal:  Diabetes Technol Ther       Date:  2009-03       Impact factor: 6.118

  4 in total
  3 in total

1.  Continuous glucose monitoring and trend accuracy: news about a trend compass.

Authors:  Matthew Signal; Rebecca Gottlieb; Aaron Le Compte; J Geoffrey Chase
Journal:  J Diabetes Sci Technol       Date:  2014-05-16

2.  FreeStyle Navigator Continuous Glucose Monitoring System with TRUstart algorithm, a 1-hour warm-up time.

Authors:  McGarraugh Geoffrey; Ronald Brazg; Weinstein Richard
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

3.  Clinically relevant hypoglycemia prediction metrics for event mitigation.

Authors:  Rebecca A Harvey; Eyal Dassau; Howard C Zisser; Wendy Bevier; Dale E Seborg; Lois Jovanovič; Francis J Doyle
Journal:  Diabetes Technol Ther       Date:  2012-06-12       Impact factor: 6.118

  3 in total

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