Literature DB >> 30623673

Comparative Accuracy Evaluation of a Blood Glucose Meter With Novel Hematocrit Correction Technology, With Three Currently Used Commercially Available Blood Glucose Monitoring Systems.

Gareth J Dunseath1, Dominic Bright1, Stephen D Luzio1.   

Abstract

Hematocrit is known to influence glucose values obtained on some blood glucose meters, with bias observed especially at low and high hematocrit levels. We evaluated the performance of a meter with hematocrit correction technology alongside 3 other commercially available meters. Capillary blood samples from 100 subjects were analyzed in duplicate and compared to the plasma values obtained by reference laboratory analyzer. Bias, error grid, and sensitivity to hematocrit analyses were performed for each meter. Average percentage bias was similar for all meters, however the evaluated meter performed best with respect to error grid analysis, with 100% of values falling within the "no effect on clinical action" and "no risk" categories and did not display any hematocrit associated bias.

Entities:  

Keywords:  accuracy; blood glucose meter; hematocrit

Mesh:

Substances:

Year:  2019        PMID: 30623673      PMCID: PMC6501526          DOI: 10.1177/1932296818821389

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


  9 in total

1.  Technical evaluation of five glucose meters with data management capabilities.

Authors:  J J Chance; D J Li; K A Jones; K L Dyer; J H Nichols
Journal:  Am J Clin Pathol       Date:  1999-04       Impact factor: 2.493

2.  Effects of different hematocrit levels on glucose measurements with handheld meters for point-of-care testing.

Authors:  Z Tang; J H Lee; R F Louie; G J Kost
Journal:  Arch Pathol Lab Med       Date:  2000-08       Impact factor: 5.534

3.  A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose.

Authors:  J L Parkes; S L Slatin; S Pardo; B H Ginsberg
Journal:  Diabetes Care       Date:  2000-08       Impact factor: 19.112

4.  Point-of-care glucose testing: effects of critical care variables, influence of reference instruments, and a modular glucose meter design.

Authors:  R F Louie; Z Tang; D V Sutton; J H Lee; G J Kost
Journal:  Arch Pathol Lab Med       Date:  2000-02       Impact factor: 5.534

5.  Evaluation of the impact of hematocrit and other interference on the accuracy of hospital-based glucose meters.

Authors:  Brad S Karon; Laurie Griesmann; Renee Scott; Sandra C Bryant; Jeffrey A Dubois; Terry L Shirey; Steven Presti; Paula J Santrach
Journal:  Diabetes Technol Ther       Date:  2008-04       Impact factor: 6.118

6.  The surveillance error grid.

Authors:  David C Klonoff; Courtney Lias; Robert Vigersky; William Clarke; Joan Lee Parkes; David B Sacks; M Sue Kirkman; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2014-06-13

Review 7.  6. Glycemic Targets: Standards of Medical Care in Diabetes-2018.

Authors: 
Journal:  Diabetes Care       Date:  2018-01       Impact factor: 19.112

8.  Evaluation of Hematocrit Influence on Self-Monitoring of Blood Glucose Based on ISO 15197:2013: Comparison of a Novel System With Five Systems With Different Hematocrit Ranges.

Authors:  Andrew Hattemer; Sami Wardat
Journal:  J Diabetes Sci Technol       Date:  2018-01-29

9.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

  9 in total

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