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Published bySamson Gordon Modified over 9 years ago
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Accuracy Study of the Medtronic Minimed Continuous Glucose Monitoring System (CGMS) and GlucoWatch® G2TM Biographer (GW2B) in Children with Type 1 Diabetes – A GCRC-based study Abstract #156
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Background: DirecNet Diabetes Research in Children Network
NIH funded collaborative study group 5 clinical centers, central laboratory, coordinating center, and representatives from NICHD and NIDDK Objective: to critically evaluate the clinical usefulness of current and future glucose sensors in children and adolescents
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Goals of Present Study To determine the accuracy of the CGMS and G2B
During hypoglycemia and hyperglycemia Over a broad age range in pediatrics Comparing nighttime to daytime readings Determine if accuracy changes as sensors age
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Devices used – GW2B GlucoWatch 2 - Cygnus Two hour calibration
Provides a glucose reading every 10 minutes Data can be generated for up to 13 hours GlucoWatch glucose lags serum glucose by 17.5 minutes and this lag was adjusted for in assessing accuracy For details of study see Poster #432
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Devices used - CGMS Medtronic Minimed Functions up to 72 hours
Data from subcutaneous glucose is stored and retrospectively reviewed In 11/02 the sensor manufacturing process was modified We studied 115 “original” and 25 “modified” sensors For details of study see Poster #387
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Methods All subjects admitted to a GCRC for ≈ 24 hours
Sensors calibrated to a home glucose meter Serum glucose levels sent to a central lab Samples every hour during the day, and every ½ hour from 9 PM to 7 AM Samples every 5 minutes for up to 90 minutes following insulin induced hypoglycemia Samples every 5 minutes for 1 hr following meal induced hyperglycemia
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Subject Demographics 91 Children and Adolescents 51% Female
43% Pumpers Mean HbA1c = 7.8%
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Young Subject Wearing Devices
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Example of data generated from CGMS use
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Graphic example of data generated from GlucoWatch 2
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Measures of Accuracy Pearson’s correlation
Relative absolute difference (RAD) % |(sensor – reference)/reference| x 100% ISO criteria (proposed) Reference glucose ≤75 mg/dL Sensor value within ±15 mg/dL Reference glucose value >75 mg/dL Sensor value within ±20%
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Overall Accuracy Results
n r Mean RAD Median RAD within ISO GW2B 3,672 0.86 22% 16% 60% CGMS (original) 5,658 0.77 26% 19% 53% CGMS (modified) 1,120 0.90 11% 72% Ultra 2,068 0.97 9% 6% 94% ISO Criteria: If reference glucose ≤ 75 mg/dL, sensor glucose within ± 15 mg/dL; if reference glucose > 75 mg/dL, sensor glucose within ± 20%.
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Factors NOT Impacting Accuracy For Either the GW2B or CGMS
Age of the Subject Time of Day (Nighttime vs. Daytime) BMI (body mass index) Location of GW2B placement Upper vs lower arm Inner vs outer arm
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Effect of Glucose Concentration on Accuracy Assessed by Median RAD%
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GW2B Function By Hours Of Use
< 4 4 to <8 ≥ 8 p Median RAD 15% 19% 0.002 Sensor age had no effect on CGMS function
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“Alarm” Setting (mg/dL)
Sensitivity and False Positive rate for detection of hypoglycemia (<60 mg/dl) “Alarm” Setting (mg/dL) Sensitivity False Positive Rate GWB CGMS Original CGMS Modified CGMS Modified 60 23% 36% 49% 51% 63% 58% 80 59% 67% 84% 68% 64% 100 85% 100% 80% 76% 75% 120 92% 91% 83%
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Adverse Events GlucoWatch CGMS
Minor skin irritation in 29% of GW2B uses No severe or persistent skin reactions CGMS No significant skin irritation or site infections
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Summary GW2B accuracy was unaffected by site of wear
The GW2B was less accurate in the last 4-5 hours of use, whereas CGMS accuracy was unaffected by sensor age When compared to the original CGMS, the modified CGMS was more accurate in all measures
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Summary For both the GW2B and the CGMS:
Subject age had no effect on accuracy Time of the day had no effect on accuracy Accuracy was greater for hyperglycemia than for hypoglycemia Neither device is as accurate as currently available meters
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Barbara Davis Center H. Peter Chase Rosanna Fiallo-Scharer Jennifer Fisher University of Iowa Eva Tsalikian Michael Tansey Linda Larson Nemours Children’s Clinic Tim Wysocki Nelly Mauras Kristen Gagnon Stanford University Bruce Buckingham Darrell Wilson Jennifer Block Yale University William Tamborlane Stuart Weinzimer Elizabeth Boland University of Minnesota Central Laboratory: Michael Steffes Jean Bucksa Maren Nowicki Jaeb Center for Health Research Roy Beck Katrina Ruedy Craig Kollman Andrea Booth Gladys Bernett
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