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HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?

Glycated hemoglobin (HbA(1c)) has recently been recommended for the diagnosis of type 2 diabetes mellitus (T2DM) by leading diabetes organizations and by the World Health Organization. The most important reason to define T2DM is to identify subjects with high risk of diabetes complications who may b...

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Autores principales: Kowall, Bernd, Rathmann, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848642/
https://www.ncbi.nlm.nih.gov/pubmed/24348061
http://dx.doi.org/10.2147/DMSO.S39093
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author Kowall, Bernd
Rathmann, Wolfgang
author_facet Kowall, Bernd
Rathmann, Wolfgang
author_sort Kowall, Bernd
collection PubMed
description Glycated hemoglobin (HbA(1c)) has recently been recommended for the diagnosis of type 2 diabetes mellitus (T2DM) by leading diabetes organizations and by the World Health Organization. The most important reason to define T2DM is to identify subjects with high risk of diabetes complications who may benefit from treatment. This review addresses two questions: 1) to assess from existing studies whether there is an optimal HbA(1c) threshold to predict diabetes complications and 2) to assess how well the recommended 6.5% cutoff of HbA(1c) predicts diabetes complications. HbA(1c) cutoffs derived from predominantly cross-sectional studies on retinopathy differ widely from 5.2%–7.8%, and among other reasons, this is due to the heterogeneity of statistical methods and differences in the definition of retinopathy. From the few studies on other microvascular complications, HbA(1c) thresholds could not be identified. HbA(1c) cutoffs make less sense for the prediction of cardiovascular events (CVEs) because CVE risks depend on various strong risk factors (eg, hypertension, smoking); subjects with low HbA(1c) levels but high values of CVE risk factors were shown to be at higher CVE risk than subjects with high HbA(1c) levels and low values of CVE risk factors. However, the recommended 6.5% threshold distinguishes well between subjects with and subjects without retinopathy, and this distinction is particularly strong in severe retinopathy. Thus, in existing studies, the prevalence of any retinopathy was 2.5 to 4.5 times as high in persons with HbA(1c)-defined T2DM as in subjects with HbA(1c) <6.5%. To conclude, from existing studies, a consistent optimal HbA(1c) threshold for diabetes complications cannot be derived, and the recommended 6.5% threshold has mainly been brought about by convention rather than by having a consistent empirical basis. Nevertheless, the 6.5% threshold is suitable to detect subjects with prevalent retinopathy, which is the most diabetes specific complication. However, most of the studies on associations between HbA(1c) and microvascular diabetes complications are cross-sectional, and there is a need for longitudinal studies.
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spelling pubmed-38486422013-12-13 HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform? Kowall, Bernd Rathmann, Wolfgang Diabetes Metab Syndr Obes Review Glycated hemoglobin (HbA(1c)) has recently been recommended for the diagnosis of type 2 diabetes mellitus (T2DM) by leading diabetes organizations and by the World Health Organization. The most important reason to define T2DM is to identify subjects with high risk of diabetes complications who may benefit from treatment. This review addresses two questions: 1) to assess from existing studies whether there is an optimal HbA(1c) threshold to predict diabetes complications and 2) to assess how well the recommended 6.5% cutoff of HbA(1c) predicts diabetes complications. HbA(1c) cutoffs derived from predominantly cross-sectional studies on retinopathy differ widely from 5.2%–7.8%, and among other reasons, this is due to the heterogeneity of statistical methods and differences in the definition of retinopathy. From the few studies on other microvascular complications, HbA(1c) thresholds could not be identified. HbA(1c) cutoffs make less sense for the prediction of cardiovascular events (CVEs) because CVE risks depend on various strong risk factors (eg, hypertension, smoking); subjects with low HbA(1c) levels but high values of CVE risk factors were shown to be at higher CVE risk than subjects with high HbA(1c) levels and low values of CVE risk factors. However, the recommended 6.5% threshold distinguishes well between subjects with and subjects without retinopathy, and this distinction is particularly strong in severe retinopathy. Thus, in existing studies, the prevalence of any retinopathy was 2.5 to 4.5 times as high in persons with HbA(1c)-defined T2DM as in subjects with HbA(1c) <6.5%. To conclude, from existing studies, a consistent optimal HbA(1c) threshold for diabetes complications cannot be derived, and the recommended 6.5% threshold has mainly been brought about by convention rather than by having a consistent empirical basis. Nevertheless, the 6.5% threshold is suitable to detect subjects with prevalent retinopathy, which is the most diabetes specific complication. However, most of the studies on associations between HbA(1c) and microvascular diabetes complications are cross-sectional, and there is a need for longitudinal studies. Dove Medical Press 2013-11-29 /pmc/articles/PMC3848642/ /pubmed/24348061 http://dx.doi.org/10.2147/DMSO.S39093 Text en © 2013 Kowall and Rathmann. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Review
Kowall, Bernd
Rathmann, Wolfgang
HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
title HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
title_full HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
title_fullStr HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
title_full_unstemmed HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
title_short HbA(1c) for diagnosis of type 2 diabetes. Is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
title_sort hba(1c) for diagnosis of type 2 diabetes. is there an optimal cut point to assess high risk of diabetes complications, and how well does the 6.5% cutoff perform?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848642/
https://www.ncbi.nlm.nih.gov/pubmed/24348061
http://dx.doi.org/10.2147/DMSO.S39093
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