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Evidence for Consistency of the Glycation Gap in Diabetes
OBJECTIVE: Discordance between HbA(1c) and fructosamine estimations in the assessment of glycemia is often encountered. A number of mechanisms might explain such discordance, but whether it is consistent is uncertain. This study aims to coanalyze paired glycosylated hemoglobin (HbA(1c))-fructosamine...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142043/ https://www.ncbi.nlm.nih.gov/pubmed/21715524 http://dx.doi.org/10.2337/dc10-1767 |
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author | Nayak, Ananth U. Holland, Martin R. Macdonald, David R. Nevill, Alan Singh, Baldev M. |
author_facet | Nayak, Ananth U. Holland, Martin R. Macdonald, David R. Nevill, Alan Singh, Baldev M. |
author_sort | Nayak, Ananth U. |
collection | PubMed |
description | OBJECTIVE: Discordance between HbA(1c) and fructosamine estimations in the assessment of glycemia is often encountered. A number of mechanisms might explain such discordance, but whether it is consistent is uncertain. This study aims to coanalyze paired glycosylated hemoglobin (HbA(1c))-fructosamine estimations by using fructosamine to determine a predicted HbA(1c), to calculate a glycation gap (G-gap) and to determine whether the G-gap is consistent over time. RESEARCH DESIGN AND METHODS: We included 2,263 individuals with diabetes who had at least two paired HbA(1c)-fructosamine estimations that were separated by 10 ± 8 months. Of these, 1,217 individuals had a third pair. The G-gap was calculated as G-gap = HbA(1c) minus the standardized fructosamine-derived HbA(1c) equivalent (FHbA(1c)). The hypothesis that the G-gap would remain consistent in individuals over time was tested. RESULTS: The G-gaps were similar in the first, second, and third paired samples (0.0 ± 1.2, 0.0 ± 1.3, and 0.0 ± 1.3, respectively). Despite significant changes in the HbA(1c) and fructosamine, the G-gap did not differ in absolute or relative terms and showed no significant within-subject variability. The direction of the G-gap remained consistent. CONCLUSIONS: The G-gap appears consistent over time; thus, by inference any key underlying mechanisms are likely to be consistent. G-gap calculation may be a method of exploring and evaluating any such underlying mechanisms. |
format | Online Article Text |
id | pubmed-3142043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-31420432012-08-01 Evidence for Consistency of the Glycation Gap in Diabetes Nayak, Ananth U. Holland, Martin R. Macdonald, David R. Nevill, Alan Singh, Baldev M. Diabetes Care Original Research OBJECTIVE: Discordance between HbA(1c) and fructosamine estimations in the assessment of glycemia is often encountered. A number of mechanisms might explain such discordance, but whether it is consistent is uncertain. This study aims to coanalyze paired glycosylated hemoglobin (HbA(1c))-fructosamine estimations by using fructosamine to determine a predicted HbA(1c), to calculate a glycation gap (G-gap) and to determine whether the G-gap is consistent over time. RESEARCH DESIGN AND METHODS: We included 2,263 individuals with diabetes who had at least two paired HbA(1c)-fructosamine estimations that were separated by 10 ± 8 months. Of these, 1,217 individuals had a third pair. The G-gap was calculated as G-gap = HbA(1c) minus the standardized fructosamine-derived HbA(1c) equivalent (FHbA(1c)). The hypothesis that the G-gap would remain consistent in individuals over time was tested. RESULTS: The G-gaps were similar in the first, second, and third paired samples (0.0 ± 1.2, 0.0 ± 1.3, and 0.0 ± 1.3, respectively). Despite significant changes in the HbA(1c) and fructosamine, the G-gap did not differ in absolute or relative terms and showed no significant within-subject variability. The direction of the G-gap remained consistent. CONCLUSIONS: The G-gap appears consistent over time; thus, by inference any key underlying mechanisms are likely to be consistent. G-gap calculation may be a method of exploring and evaluating any such underlying mechanisms. American Diabetes Association 2011-08 2011-07-16 /pmc/articles/PMC3142043/ /pubmed/21715524 http://dx.doi.org/10.2337/dc10-1767 Text en © 2011 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details. |
spellingShingle | Original Research Nayak, Ananth U. Holland, Martin R. Macdonald, David R. Nevill, Alan Singh, Baldev M. Evidence for Consistency of the Glycation Gap in Diabetes |
title | Evidence for Consistency of the Glycation Gap in Diabetes |
title_full | Evidence for Consistency of the Glycation Gap in Diabetes |
title_fullStr | Evidence for Consistency of the Glycation Gap in Diabetes |
title_full_unstemmed | Evidence for Consistency of the Glycation Gap in Diabetes |
title_short | Evidence for Consistency of the Glycation Gap in Diabetes |
title_sort | evidence for consistency of the glycation gap in diabetes |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3142043/ https://www.ncbi.nlm.nih.gov/pubmed/21715524 http://dx.doi.org/10.2337/dc10-1767 |
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