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Association of Glycation Gap With Mortality and Vascular Complications in Diabetes

OBJECTIVE: The “glycation gap” (G-gap), an essentially unproven concept, is an empiric measure of disagreement between HbA(1c) and fructosamine, the two indirect estimates of glycemic control. Its association with demographic features and key clinical outcomes in individuals with diabetes is uncerta...

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Detalles Bibliográficos
Autores principales: Nayak, Ananth U., Nevill, Alan M., Bassett, Paul, Singh, Baldev M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781552/
https://www.ncbi.nlm.nih.gov/pubmed/23835697
http://dx.doi.org/10.2337/dc12-1040
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author Nayak, Ananth U.
Nevill, Alan M.
Bassett, Paul
Singh, Baldev M.
author_facet Nayak, Ananth U.
Nevill, Alan M.
Bassett, Paul
Singh, Baldev M.
author_sort Nayak, Ananth U.
collection PubMed
description OBJECTIVE: The “glycation gap” (G-gap), an essentially unproven concept, is an empiric measure of disagreement between HbA(1c) and fructosamine, the two indirect estimates of glycemic control. Its association with demographic features and key clinical outcomes in individuals with diabetes is uncertain. RESEARCH DESIGN AND METHODS: The G-gap was calculated as the difference between measured HbA(1c) and a fructosamine-derived standardized predicted HbA(1c) in 3,182 individuals with diabetes. The G-gap’s associations with demographics and clinical outcomes (retinopathy, nephropathy, macrovascular disease, and mortality) were determined. RESULTS: Demographics varied significantly with G-gap for age, sex, ethnic status, smoking status, type and duration of diabetes, insulin use, and obesity. A positive G-gap was associated with retinopathy (odds ratio 1.24 [95% CI 1.01–1.52], P = 0.039), nephropathy (1.55 [1.23–1.95], P < 0.001), and, in a subset, macrovascular disease (1.91 [1.18–3.09], P = 0.008). In Cox regression analysis, the G-gap had a “U”-shaped quadratic relationship with mortality, with both negative G-gap (1.96 [1.50–2.55], P < 0.001) and positive G-gap (2.02 [1.57–2.60], P < 0.001) being associated with a significantly higher mortality. CONCLUSIONS: We confirm published associations of G-gap with retinopathy and nephropathy. We newly demonstrate a relationship with macrovascular and mortality outcomes and potential links to distinct subpopulations of diabetes.
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spelling pubmed-37815522014-10-01 Association of Glycation Gap With Mortality and Vascular Complications in Diabetes Nayak, Ananth U. Nevill, Alan M. Bassett, Paul Singh, Baldev M. Diabetes Care Original Research OBJECTIVE: The “glycation gap” (G-gap), an essentially unproven concept, is an empiric measure of disagreement between HbA(1c) and fructosamine, the two indirect estimates of glycemic control. Its association with demographic features and key clinical outcomes in individuals with diabetes is uncertain. RESEARCH DESIGN AND METHODS: The G-gap was calculated as the difference between measured HbA(1c) and a fructosamine-derived standardized predicted HbA(1c) in 3,182 individuals with diabetes. The G-gap’s associations with demographics and clinical outcomes (retinopathy, nephropathy, macrovascular disease, and mortality) were determined. RESULTS: Demographics varied significantly with G-gap for age, sex, ethnic status, smoking status, type and duration of diabetes, insulin use, and obesity. A positive G-gap was associated with retinopathy (odds ratio 1.24 [95% CI 1.01–1.52], P = 0.039), nephropathy (1.55 [1.23–1.95], P < 0.001), and, in a subset, macrovascular disease (1.91 [1.18–3.09], P = 0.008). In Cox regression analysis, the G-gap had a “U”-shaped quadratic relationship with mortality, with both negative G-gap (1.96 [1.50–2.55], P < 0.001) and positive G-gap (2.02 [1.57–2.60], P < 0.001) being associated with a significantly higher mortality. CONCLUSIONS: We confirm published associations of G-gap with retinopathy and nephropathy. We newly demonstrate a relationship with macrovascular and mortality outcomes and potential links to distinct subpopulations of diabetes. American Diabetes Association 2013-10 2013-09-14 /pmc/articles/PMC3781552/ /pubmed/23835697 http://dx.doi.org/10.2337/dc12-1040 Text en © 2013 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.
Nevill, Alan M.
Bassett, Paul
Singh, Baldev M.
Association of Glycation Gap With Mortality and Vascular Complications in Diabetes
title Association of Glycation Gap With Mortality and Vascular Complications in Diabetes
title_full Association of Glycation Gap With Mortality and Vascular Complications in Diabetes
title_fullStr Association of Glycation Gap With Mortality and Vascular Complications in Diabetes
title_full_unstemmed Association of Glycation Gap With Mortality and Vascular Complications in Diabetes
title_short Association of Glycation Gap With Mortality and Vascular Complications in Diabetes
title_sort association of glycation gap with mortality and vascular complications in diabetes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781552/
https://www.ncbi.nlm.nih.gov/pubmed/23835697
http://dx.doi.org/10.2337/dc12-1040
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