Literature DB >> 18343780

Analytic bias among certified methods for the measurement of hemoglobin A1c: a cause for concern?

Earle W Holmes1, Cağatay Erşahin, Geri J Augustine, Gerald A Charnogursky, Margie Gryzbac, Joanne V Murrell, Kathleen M McKenna, Fadi Nabhan, Stephen E Kahn.   

Abstract

We studied the magnitude, significance, and origin of an analytic bias that emerged between our point-of-care (POC) and our central laboratory (CL) methods for the measurement of hemoglobin A1c (HbA1c) and evaluated the analytic accuracy of 7 commonly used HbA1c methods relative to the National Glycohemoglobin Standardization Program (NGSP) reference method. The POC and CL methods were compared by split-sample analysis of clinical specimens and time series analyses of the HbA1c results reported for a 33-month period. The relative accuracies of 7 HbA1c methods were evaluated using College of American Pathologists proficiency survey results. Long-term drifts in the CL- and POC-analyzed test results caused the median intermethod bias [(POC result)-(CL result)] to increase from -0.4% to -0.9% HbA1c. Systematic biases, drifts in analytic performance over time, and intermethod variability were frequently observed among the 7 NGSP-certified HbA1c methods. Intermethod variability is a potential source of inaccuracy whenever HbA1c results are interpreted relative to universal, fixed, clinical decision thresholds.

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Year:  2008        PMID: 18343780     DOI: 10.1309/U3GPPTCBP1VLL8AW

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  18 in total

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Authors:  Carlos G Grijalva; Christianne L Roumie; Harvey J Murff; Adriana M Hung; Cole Beck; Xulei Liu; Marie R Griffin; Robert A Greevy
Journal:  J Comp Eff Res       Date:  2015-08       Impact factor: 1.744

2.  Influence of variables on hemoglobin A1c values and nonheterogeneity of hemoglobin A1c reference ranges.

Authors:  Trefor Higgins; George Cembrowski; David Tran; Erin Lim; Julie Chan
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

3.  Hemoglobin A1c point-of-care assays; a new world with a lot of consequences!

Authors:  Erna Lenters-Westra; Robbert J Slingerland
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

4.  HbA1c testing in the community pharmacy: A new strategy to improve care for patients with diabetes.

Authors:  John Papastergiou; Amy Rajan; Artemis Diamantouros; John Zervas; Justin Chow; Peter Tolios
Journal:  Can Pharm J (Ott)       Date:  2012-07

5.  Hemoglobin A1c assay variations and implications for diabetes screening in obese youth.

Authors:  Christine L Chan; Kim McFann; Lindsey Newnes; Kristen J Nadeau; Philip S Zeitler; Megan Kelsey
Journal:  Pediatr Diabetes       Date:  2014-03-17       Impact factor: 4.866

6.  Use of serial patient hemoglobin A1c differences to determine long-term imprecision of immunoassay and high-performance liquid chromatography analyzers.

Authors:  David V Tran; Andrew W Lyon; Trefor N Higgins; James C Wesenberg; Lisa Vandergouwe; Carmen L Wiley; George S Cembrowski
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

7.  [Glycated haemoglobin for the diagnosis of diabetes. A universal standard?].

Authors:  Rafael Llanes De Torres
Journal:  Aten Primaria       Date:  2010-04-07       Impact factor: 1.137

8.  Changes in dried blood spot Hb A1c with varied postcollection conditions.

Authors:  Orfeu M Buxton; Keith Malarick; Wei Wang; Teresa Seeman
Journal:  Clin Chem       Date:  2009-03-19       Impact factor: 8.327

9.  Performance of hemoglobin A1c assay methods: good enough?

Authors:  Randie R Little
Journal:  Clin Chem       Date:  2014-06-17       Impact factor: 8.327

10.  Association of A1C and fasting plasma glucose levels with diabetic retinopathy prevalence in the U.S. population: Implications for diabetes diagnostic thresholds.

Authors:  Yiling J Cheng; Edward W Gregg; Linda S Geiss; Giuseppina Imperatore; Desmond E Williams; Xinzhi Zhang; Ann L Albright; Catherine C Cowie; Ronald Klein; Jinan B Saaddine
Journal:  Diabetes Care       Date:  2009-11       Impact factor: 17.152

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