Literature DB >> 20144348

Glucose meters: a review of technical challenges to obtaining accurate results.

Ksenia Tonyushkina1, James H Nichols.   

Abstract

Glucose meters are universally utilized in the management of hypoglycemic and hyperglycemic disorders in a variety of healthcare settings. Establishing the accuracy of glucose meters, however, is challenging. Glucose meters can only analyze whole blood, and glucose is unstable in whole blood. Technical accuracy is defined as the closeness of agreement between a test result and the true value of that analyte. Truth for glucose is analysis by isotope dilution mass spectrometry, and frozen serum standards analyzed by this method are available from the National Institute of Standards and Technology. Truth for whole blood has not been established, and cells must be separated from the whole blood matrix before analysis by a method like isotope dilution mass spectrometry. Serum cannot be analyzed by glucose meters, and isotope dilution mass spectrometry is not commonly available in most hospitals and diabetes clinics to evaluate glucose meter accuracy. Consensus standards recommend comparing whole blood analysis on a glucose meter against plasma/serum centrifuged from a capillary specimen and analyzed by a clinical laboratory comparative method. Yet capillary samples may not provide sufficient volume to test by both methods, and venous samples may be used as an alternative when differences between venous and capillary blood are considered. There are thus multiple complexities involved in defining technical accuracy and no clear consensus among standards agencies and professional societies on accuracy criteria. Clinicians, however, are more concerned with clinical agreement of the glucose meter with a serum/plasma laboratory result. Acceptance criteria for clinical agreement vary across the range of glucose concentrations and depend on how the result will be used in screening or management of the patient. A variety of factors can affect glucose meter results, including operator technique, environmental exposure, and patient factors, such as medication, oxygen therapy, anemia, hypotension, and other disease states. This article reviews the challenges involved in obtaining accurate glucose meter results. Copyright 2009 Diabetes Technology Society.

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Year:  2009        PMID: 20144348      PMCID: PMC2769957          DOI: 10.1177/193229680900300446

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


  36 in total

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Journal:  Clin Chem       Date:  2004-06       Impact factor: 8.327

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Journal:  Clin Chem       Date:  2001-02       Impact factor: 8.327

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Journal:  J Trauma       Date:  2001-09

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Authors:  L Dufaitre-Patouraux; P Vague; V Lassmann-Vague
Journal:  Diabetes Metab       Date:  2003-04       Impact factor: 6.041

9.  Instruments for self-monitoring of blood glucose: comparisons of testing quality achieved by patients and a technician.

Authors:  Svein Skeie; Geir Thue; Kari Nerhus; Sverre Sandberg
Journal:  Clin Chem       Date:  2002-07       Impact factor: 8.327

10.  Benefits of intensive insulin therapy on neuromuscular complications in routine daily critical care practice: a retrospective study.

Authors:  Greet Hermans; Maarten Schrooten; Philip Van Damme; Noor Berends; Bernard Bouckaert; Wouter De Vooght; Wim Robberecht; Greet Van den Berghe
Journal:  Crit Care       Date:  2009-01-24       Impact factor: 9.097

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  71 in total

1.  Glucose information for tight glycemic control: different methods with different challenges.

Authors:  Christian Weber; Kurt Neeser
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

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Journal:  J Diabetes Sci Technol       Date:  2010-09-01

Review 3.  Glycemic targets in pregnancies affected by diabetes: historical perspective and future directions.

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Journal:  Curr Diab Rep       Date:  2015-01       Impact factor: 4.810

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Journal:  J Diabetes Sci Technol       Date:  2010-09-01

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Authors:  Carol R Baines; P David Cooper; Geraldine A O'Rourke; Charne Miller
Journal:  Diving Hyperb Med       Date:  2020-06-30       Impact factor: 0.887

Review 6.  Accuracy of point-of-care glucose measurements.

Authors:  Annette Rebel; Mark A Rice; Brenda G Fahy
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

Review 7.  Assessing the analytical performance of systems for self-monitoring of blood glucose: concepts of performance evaluation and definition of metrological key terms.

Authors:  Oliver Schnell; Rolf Hinzmann; Bernd Kulzer; Guido Freckmann; Michael Erbach; Volker Lodwig; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

8.  Portable system for the detection of micromolar concentrations of glucose.

Authors:  Yordan Kostov; Xudong Ge; Govind Rao; Leah Tolosa
Journal:  Meas Sci Technol       Date:  2014       Impact factor: 2.046

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.  Non-Invasive Glucose Monitoring Using Optical Sensor and Machine Learning Techniques for Diabetes Applications.

Authors:  Maryamsadat Shokrekhodaei; David P Cistola; Robert C Roberts; Stella Quinones
Journal:  IEEE Access       Date:  2021-05-11       Impact factor: 3.367

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