Literature DB >> 15628809

GlucoWatch G2 Biographer alarm reliability during hypoglycemia in children.

Eva Tsalikian1, Craig Kollman, Nelly Mauras, Stuart Weinzimer, Bruce Buckingham, Dongyuan Xing, Roy Beck, Katrina Ruedy, William Tamborlane, Rosanna Fiallo-Scharer.   

Abstract

BACKGROUND: The GlucoWatch G2 Biographer (GW2B) (Cygnus, Inc., Redwood City, CA) provides near-continuous monitoring of glucose values in near real time. This device is equipped with two types of alarms to detect hypoglycemia. The hypoglycemia alarm is triggered when the current glucose measurement falls below the level set by the user. The "down alert" alarm is triggered when extrapolation of the current glucose trend anticipates hypoglycemia to occur within the next 20 min.
METHODS: We used data from an inpatient accuracy study to assess the performance of these alarms. During a 24-h clinical research center stay, 89 children and adolescents with Type 1 diabetes mellitus (3.5-17.7 years old) wore 174 GW2B devices and had frequent serum glucose determinations during the day and night.
RESULTS: Sensitivity to detect hypoglycemia (reference glucose < or = 60 mg/dL) during an insulin-induced hypoglycemia test was 24% with the hypoglycemia alarm alone and 88% when combined with the down alert alarm. Overnight sensitivity from 11 p.m. to 6 a.m. was 23% with the hypoglycemia alarm alone and 77% when combined with the down alert alarm. For 16% of hypoglycemia alarms, the reference glucose was above 70 mg/dL for 30 min before and after the time of the alarm. For the two alarm types combined, the corresponding false-positive rate increased to 62%.
CONCLUSIONS: The down alert alarm substantially improves the sensitivity of the GW2B to detect hypoglycemia at the price of a large increase in the false alarm rate. The utility of these alarms in the day-to-day management of children with diabetes remains to be determined.

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Year:  2004        PMID: 15628809      PMCID: PMC2302787          DOI: 10.1089/dia.2004.6.559

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


  15 in total

1.  Fear of hypoglycemia in the parents of children and adolescents with diabetes: maladaptive or healthy response?

Authors:  D G Marrero; J C Guare; J L Vandagriff; N S Fineberg
Journal:  Diabetes Educ       Date:  1997 May-Jun       Impact factor: 2.140

2.  Noninvasive glucose monitoring: comprehensive clinical results. Cygnus Research Team.

Authors:  J A Tamada; S Garg; L Jovanovic; K R Pitzer; S Fermi; R O Potts
Journal:  JAMA       Date:  1999-11-17       Impact factor: 56.272

3.  The effect of hypoglycemic seizures on cognitive function in children with diabetes: a 7-year prospective study.

Authors:  J F Rovet; R M Ehrlich
Journal:  J Pediatr       Date:  1999-04       Impact factor: 4.406

4.  Correlation of fingerstick blood glucose measurements with GlucoWatch biographer glucose results in young subjects with type 1 diabetes.

Authors:  S K Garg; R O Potts; N R Ackerman; S J Fermi; J A Tamada; H P Chase
Journal:  Diabetes Care       Date:  1999-10       Impact factor: 19.112

Review 5.  Glucose monitoring by reverse iontophoresis.

Authors:  Russell O Potts; Janet A Tamada; Michael J Tierney
Journal:  Diabetes Metab Res Rev       Date:  2002 Jan-Feb       Impact factor: 4.876

6.  Clinical evaluation of the GlucoWatch biographer: a continual, non-invasive glucose monitor for patients with diabetes.

Authors:  M J Tierney; J A Tamada; R O Potts; L Jovanovic; S Garg
Journal:  Biosens Bioelectron       Date:  2001-12       Impact factor: 10.618

7.  Detection of hypoglycemia with the GlucoWatch biographer.

Authors:  K R Pitzer; S Desai; T Dunn; S Edelman; Y Jayalakshmi; J Kennedy; J A Tamada; R O Potts
Journal:  Diabetes Care       Date:  2001-05       Impact factor: 19.112

8.  The accuracy of the CGMS in children with type 1 diabetes: results of the diabetes research in children network (DirecNet) accuracy study.

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

9.  Effect of intensive diabetes treatment on the development and progression of long-term complications in adolescents with insulin-dependent diabetes mellitus: Diabetes Control and Complications Trial. Diabetes Control and Complications Trial Research Group.

Authors: 
Journal:  J Pediatr       Date:  1994-08       Impact factor: 4.406

10.  Accuracy of the GlucoWatch G2 Biographer and the continuous glucose monitoring system during hypoglycemia: experience of the Diabetes Research in Children Network.

Authors: 
Journal:  Diabetes Care       Date:  2004-03       Impact factor: 19.112

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  13 in total

1.  Limitations of statistical measures of error in assessing the accuracy of continuous glucose sensors.

Authors:  Craig Kollman; Darrell M Wilson; Tim Wysocki; William V Tamborlane; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2005-10       Impact factor: 6.118

2.  Clinical overview of continuous glucose monitoring.

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

Review 3.  Hypo- and Hyperglycemic Alarms: Devices and Algorithms.

Authors:  Daniel Howsmon; B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2015-04-30

4.  Combining information of autonomic modulation and CGM measurements enables prediction and improves detection of spontaneous hypoglycemic events.

Authors:  Simon Lebech Cichosz; Jan Frystyk; Lise Tarnow; Jesper Fleischer
Journal:  J Diabetes Sci Technol       Date:  2014-09-12

Review 5.  Toward Big Data Analytics: Review of Predictive Models in Management of Diabetes and Its Complications.

Authors:  Simon Lebech Cichosz; Mette Dencker Johansen; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2015-10-14

6.  Carbon nanotube composites for glucose biosensor incorporated with reverse iontophoresis function for noninvasive glucose monitoring.

Authors:  Tai-Ping Sun; Hsiu-Li Shieh; Congo Tak-Shing Ching; Yan-Dong Yao; Su-Hua Huang; Chia-Ming Liu; Wei-Hao Liu; Chung-Yuan Chen
Journal:  Int J Nanomedicine       Date:  2010-05-13

7.  Statistical hypoglycemia prediction.

Authors:  Fraser Cameron; Günter Niemeyer; Karen Gundy-Burlet; Bruce Buckingham
Journal:  J Diabetes Sci Technol       Date:  2008-07

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

9.  A novel algorithm for prediction and detection of hypoglycemia based on continuous glucose monitoring and heart rate variability in patients with type 1 diabetes.

Authors:  Simon Lebech Cichosz; Jan Frystyk; Ole K Hejlesen; Lise Tarnow; Jesper Fleischer
Journal:  J Diabetes Sci Technol       Date:  2014-03-31

10.  Adaptive System Identification for Estimating Future Glucose Concentrations and Hypoglycemia Alarms.

Authors:  Meriyan Eren-Oruklu; Ali Cinar; Derrick K Rollins; Lauretta Quinn
Journal:  Automatica (Oxf)       Date:  2012-06-22       Impact factor: 5.944

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