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Diabetologia
Published in: Diabetologia 3/2009

01-03-2009 | Letter

The proposed terminology ‘A1c-derived average glucose’ is inherently imprecise and should not be adopted. Reply to Bloomgarden ZT, Inzucchi SE, Karnieli E, et al. [letter]

Authors: S. B. Haugaard, S. Madsbad, J. Mølvig

Published in: Diabetologia | Issue 3/2009

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Excerpt

To the Editor: It has been argued that glycated haemoglobin (A1c) does not adequately reflect mean plasma glucose, and therefore any attempt to convert A1c into a surrogate for the unknown mean plasma glucose for an individual would not be valid. Here we discuss the limitations of measuring the true average plasma glucose, and suggest that much of the variation in A1c that is not explained by the mean plasma glucose level may easily be explained by imprecision in the measurement of mean plasma glucose. …
Literature
1.
Bloomgarden ZT, Inzucchi SE, Karnieli E, Le Roith D (2008) The proposed terminology ‘A1c-derived average glucose’ is inherently imprecise and should not be adopted. Diabetologia 51:1111–1114PubMedCrossRef
2.
McCarter RJ, Hempe JM, Gomez R, Chalew SA (2004) Biological variation in HbA1c predicts risk of retinopathy and nephropathy in type 1 diabetes. Diabetes Care 27:1259–1264PubMedCrossRef
3.
Rohlfing CL, Wiedmeyer HM, Little RR, England JD, Tennill A, Goldstein DE (2002) Defining the relationship between plasma glucose and HbA1c: analysis of glucose profiles and HbA1c in the Diabetes Control and Complications Trial. Diabetes Care 25:275–278PubMedCrossRef
4.
Hassan Y, Johnson B, Nader N, Gannon MC, Nuttall FQ (2006) The relationship between 24-hour integrated glucose concentrations and % glycohemoglobin. J Lab Clin Med 147:21–26PubMedCrossRef
5.
Nathan DM, Turgeon H, Regan S (2007) Relationship between glycated haemoglobin levels and mean glucose levels over time. Diabetologia 50:2239–2244PubMedCrossRef
6.
Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ (2008) Translating the A1C assay into estimated average glucose values. Diabetes Care 31:1473–1478PubMedCrossRef
7.
Wilson DM, Kollman C (2008) Relationship of A1C to glucose concentrations in children with type 1 diabetes: assessments by high-frequency glucose determinations by sensors. Diabetes Care 31:381–385PubMed
8.
Haugaard SB, Andersen O, Storgaard H et al (2004) Insulin secretion in lipodystrophic HIV-infected patients is associated with high levels of nonglucose secretagogues and insulin resistance of beta-cells. Am J Physiol Endocrinol Metab 287:E677–E685PubMedCrossRef
9.
Kovatchev B, Anderson S, Heinemann L, Clarke W (2008) Comparison of the numerical and clinical accuracy of four continuous glucose monitors. Diabetes Care 31:1160–1164PubMedCrossRef
Metadata
Title
The proposed terminology ‘A1c-derived average glucose’ is inherently imprecise and should not be adopted. Reply to Bloomgarden ZT, Inzucchi SE, Karnieli E, et al. [letter]
Authors
S. B. Haugaard
S. Madsbad
J. Mølvig
Publication date
01-03-2009
Publisher
Springer-Verlag
Published in
Diabetologia / Issue 3/2009
Print ISSN: 0012-186X
Electronic ISSN: 1432-0428
DOI
https://doi.org/10.1007/s00125-008-1234-2

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