Literature DB >> 25260047

Accuracy evaluation of contour next compared with five blood glucose monitoring systems across a wide range of blood glucose concentrations occurring in a clinical research setting.

Leslie J Klaff1, Ronald Brazg, Kristen Hughes, Ann M Tideman, Holly C Schachner, Patricia Stenger, Scott Pardo, Nancy Dunne, Joan Lee Parkes.   

Abstract

BACKGROUND: This study evaluated the accuracy of Contour(®) Next (CN; Bayer HealthCare LLC, Diabetes Care, Whippany, NJ) compared with five blood glucose monitoring systems (BGMSs) across a wide range of clinically occurring blood glucose levels. SUBJECTS AND METHODS: Subjects (n=146) were ≥ 18 years and had type 1 or type 2 diabetes. Subjects' glucose levels were safely lowered or raised to provide a wide range of glucose values. Capillary blood samples were tested on six BGMSs and a YSI glucose analyzer (YSI Life Sciences, Inc., Yellow Springs, OH) as the reference. Extreme glucose values were achieved by glucose modification of the blood sample. System accuracy was assessed by mean absolute difference (MAD) and mean absolute relative difference (MARD) across several glucose ranges, with <70 mg/dL evaluated by MAD as the primary end point.
RESULTS: In the low glucose range (<70 mg/dL), MAD values were as follows: Accu-Chek(®) Aviva Nano (Roche Diagnostics, Indianapolis, IN), 3.34 mg/dL; CN, 2.03 mg/dL; FreeStyle Lite(®) (FSL; Abbott Diabetes Care, Inc., Alameda, CA), 2.77 mg/dL; OneTouch(®) Ultra(®) 2 (LifeScan, Inc., Milpitas, CA), 10.20 mg/dL; OneTouch(®) Verio(®) Pro (LifeScan, Inc.), 4.53 mg/dL; and Truetrack(®) (Nipro Diagnostics, Inc., Fort Lauderdale, FL), 11.08 mg/dL. The lowest MAD in the low glucose range, from CN, was statistically significantly lower than those of the other BGMSs with the exception of the FSL. CN also had a statistically significantly lower MARD than all other BGMSs in the low glucose range. In the overall glucose range (21-496 mg/dL), CN yielded the lowest MAD and MARD values, which were statistically significantly lower in comparison with the other BGMSs.
CONCLUSIONS: When compared with other BGMSs, CN demonstrated the lowest mean deviation from the reference value (by MAD and MARD) across multiple glucose ranges.

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Year:  2015        PMID: 25260047     DOI: 10.1089/dia.2014.0069

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


  21 in total

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Review 2.  Analytical Performance Requirements for Systems for Self-Monitoring of Blood Glucose With Focus on System Accuracy: Relevant Differences Among ISO 15197:2003, ISO 15197:2013, and Current FDA Recommendations.

Authors:  Guido Freckmann; Christina Schmid; Annette Baumstark; Malte Rutschmann; Cornelia Haug; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2015-04-14

3.  System Accuracy Evaluation of Four Systems for Self-Monitoring of Blood Glucose Following ISO 15197 Using a Glucose Oxidase and a Hexokinase-Based Comparison Method.

Authors:  Manuela Link; Christina Schmid; Stefan Pleus; Annette Baumstark; Delia Rittmeyer; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2015-04-14

4.  Seven-Year Clinical Surveillance Program Demonstrates Consistent MARD Accuracy Performance of a Blood Glucose Test Strip.

Authors:  Steven Setford; Mike Grady; Stephen Mackintosh; Robert Donald; Brian Levy
Journal:  J Diabetes Sci Technol       Date:  2018-05-30

5.  Evidence From a Long-Term, Systematic Post-Market Surveillance Program: Clinical Performance of a Hematocrit-Insensitive Blood Glucose Test Strip.

Authors:  Steven Setford; Stuart Phillips; Mike Grady
Journal:  J Diabetes Sci Technol       Date:  2019-02-07

6.  Rate-of-Change Dependence of the Performance of Two CGM Systems During Induced Glucose Swings.

Authors:  Stefan Pleus; Michael Schoemaker; Karin Morgenstern; Günther Schmelzeisen-Redeker; Cornelia Haug; Manuela Link; Eva Zschornack; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2015-04-07

7.  Using Radar Plots to Demonstrate the Accuracy and Precision of 6 Blood Glucose Monitoring Systems.

Authors:  Scott Pardo; Nancy Dunne; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2017-06-12

8.  Bolus Insulin Dose Error Distributions Based on Results From Two Clinical Trials Comparing Blood Glucose Monitoring Systems.

Authors:  Scott Pardo; Nancy Dunne; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2017-06-12

9.  Comparative Accuracy of 17 Point-of-Care Glucose Meters.

Authors:  Laya Ekhlaspour; Debbie Mondesir; Norman Lautsch; Courtney Balliro; Mallory Hillard; Kendra Magyar; Laura Goergen Radocchia; Aryan Esmaeili; Manasi Sinha; Steven J Russell
Journal:  J Diabetes Sci Technol       Date:  2016-10-03

10.  Accuracy Beyond ISO: Introducing a New Method for Distinguishing Differences Between Blood Glucose Monitoring Systems Meeting ISO 15197:2013 Accuracy Requirements.

Authors:  Scott Pardo; Rimma M Shaginian; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2018-03-15
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