Literature DB >> 29845873

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

Steven Setford1, Mike Grady1, Stephen Mackintosh1, Robert Donald1, Brian Levy2.   

Abstract

BACKGROUND: MARD (mean absolute relative difference) is increasingly used to describe performance of glucose monitoring systems, providing a single-value quantitative measure of accuracy and allowing comparisons between different monitoring systems. This study reports MARDs for the OneTouch Verio® glucose meter clinical data set of 80 258 data points (671 individual batches) gathered as part of a 7.5-year self-surveillance program
Methods: Test strips were routinely sampled from randomly selected manufacturer's production batches and sent to one of 3 clinic sites for clinical accuracy assessment using fresh capillary blood from patients with diabetes, using both the meter system and standard laboratory reference instrument.
RESULTS: Evaluation of the distribution of strip batch MARD yielded a mean value of 5.05% (range: 3.68-6.43% at ±1.96 standard deviations from mean). The overall MARD for all clinic data points (N = 80 258) was also 5.05%, while a mean bias of 1.28 was recorded. MARD by glucose level was found to be consistent, yielding a maximum value of 4.81% at higher glucose (≥100 mg/dL) and a mean absolute difference (MAD) of 5.60 mg/dL at low glucose (<100 mg/dL). MARD by year of manufacture varied from 4.67-5.42% indicating consistent accuracy performance over the surveillance period.
CONCLUSIONS: This 7.5-year surveillance program showed that this meter system exhibits consistently low MARD by batch, glucose level and year, indicating close agreement with established reference methods whilste exhibiting lower MARD values than continuous glucose monitoring (CGM) systems and providing users with confidence in the performance when transitioning to each new strip batch.

Entities:  

Keywords:  ISO 15197:2015; MARD; blood glucose measurements; continuous glucose monitoring; hospital clinic; surveillance

Mesh:

Substances:

Year:  2018        PMID: 29845873      PMCID: PMC6134604          DOI: 10.1177/1932296818776668

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


  20 in total

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Authors:  Guido Freckmann; Stefan Pleus; Manuela Link; Annette Baumstark; Christina Schmid; Josef Högel; Cornelia Haug
Journal:  Diabetes Technol Ther       Date:  2015-05-19       Impact factor: 6.118

2.  Statistical methods for assessing agreement between two methods of clinical measurement.

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Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

3.  Comparative Accuracy of 3 Blood Glucose Monitoring Systems that Communicate with an Insulin Pump.

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4.  Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm.

Authors:  Timothy S Bailey; Anna Chang; Mark Christiansen
Journal:  J Diabetes Sci Technol       Date:  2014-11-03

5.  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

6.  A Multicenter Performance Evaluation of a Blood Glucose Monitoring System in 21 Leading Hospitals in Spain.

Authors:  José Luis Bedini; Jane F Wallace; Thorsten Petruschke; Scott Pardo
Journal:  J Diabetes Sci Technol       Date:  2015-08-07

7.  Performance Evaluation of Three Blood Glucose Monitoring Systems Using ISO 15197: 2013 Accuracy Criteria, Consensus and Surveillance Error Grid Analyses, and Insulin Dosing Error Modeling in a Hospital Setting.

Authors:  José Luis Bedini; Jane F Wallace; Scott Pardo; Thorsten Petruschke
Journal:  J Diabetes Sci Technol       Date:  2015-10-07

8.  The Quantitative Relationship Between ISO 15197 Accuracy Criteria and Mean Absolute Relative Difference (MARD) in the Evaluation of Analytical Performance of Self-Monitoring of Blood Glucose (SMBG) Systems.

Authors:  Scott Pardo; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

Review 9.  A review of standards and statistics used to describe blood glucose monitor performance.

Authors:  Jan S Krouwer; George S Cembrowski
Journal:  J Diabetes Sci Technol       Date:  2010-01-01

10.  Hypoglycemia and diabetes: a report of a workgroup of the American Diabetes Association and the Endocrine Society.

Authors:  Elizabeth R Seaquist; John Anderson; Belinda Childs; Philip Cryer; Samuel Dagogo-Jack; Lisa Fish; Simon R Heller; Henry Rodriguez; James Rosenzweig; Robert Vigersky
Journal:  Diabetes Care       Date:  2013-04-15       Impact factor: 19.112

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  1 in total

1.  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
  1 in total

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