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Update on biomarkers of glycemic control
Attaining and maintaining good glycemic control is a cornerstone of diabetes care. The monitoring of glycemic control is currently based on the self-monitoring of blood glucose (SMBG) and laboratory testing for hemoglobin A1c (HbA1c), which is a surrogate biochemical marker of the average glycemia l...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347654/ https://www.ncbi.nlm.nih.gov/pubmed/30697366 http://dx.doi.org/10.4239/wjd.v10.i1.1 |
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author | Krhač, Maja Lovrenčić, Marijana Vučić |
author_facet | Krhač, Maja Lovrenčić, Marijana Vučić |
author_sort | Krhač, Maja |
collection | PubMed |
description | Attaining and maintaining good glycemic control is a cornerstone of diabetes care. The monitoring of glycemic control is currently based on the self-monitoring of blood glucose (SMBG) and laboratory testing for hemoglobin A1c (HbA1c), which is a surrogate biochemical marker of the average glycemia level over the previous 2-3 mo period. Although hyperglycemia is a key biochemical feature of diabetes, both the level of and exposure to high glucose, as well as glycemic variability, contribute to the pathogenesis of diabetic complications and follow different patterns in type 1 and type 2 diabetes. HbA1c provides a valuable, standardized and evidence-based parameter that is relevant for clinical decision making, but several biological and analytical confounders limit its accuracy in reflecting true glycemia. It has become apparent in recent years that other glycated proteins such as fructosamine, glycated albumin, and the nutritional monosaccharide 1,5-anhydroglucitol, as well as integrated measures from direct glucose testing by an SMBG/continuous glucose monitoring system, may provide valuable complementary data, particularly in circumstances when HbA1c results may be unreliable or are insufficient to assess the risk of adverse outcomes. Long-term associations of these alternative biomarkers of glycemia with the risk of complications need to be investigated in order to provide clinically relevant cut-off values and to validate their utility in diverse populations of diabetes patients. |
format | Online Article Text |
id | pubmed-6347654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-63476542019-01-29 Update on biomarkers of glycemic control Krhač, Maja Lovrenčić, Marijana Vučić World J Diabetes Review Attaining and maintaining good glycemic control is a cornerstone of diabetes care. The monitoring of glycemic control is currently based on the self-monitoring of blood glucose (SMBG) and laboratory testing for hemoglobin A1c (HbA1c), which is a surrogate biochemical marker of the average glycemia level over the previous 2-3 mo period. Although hyperglycemia is a key biochemical feature of diabetes, both the level of and exposure to high glucose, as well as glycemic variability, contribute to the pathogenesis of diabetic complications and follow different patterns in type 1 and type 2 diabetes. HbA1c provides a valuable, standardized and evidence-based parameter that is relevant for clinical decision making, but several biological and analytical confounders limit its accuracy in reflecting true glycemia. It has become apparent in recent years that other glycated proteins such as fructosamine, glycated albumin, and the nutritional monosaccharide 1,5-anhydroglucitol, as well as integrated measures from direct glucose testing by an SMBG/continuous glucose monitoring system, may provide valuable complementary data, particularly in circumstances when HbA1c results may be unreliable or are insufficient to assess the risk of adverse outcomes. Long-term associations of these alternative biomarkers of glycemia with the risk of complications need to be investigated in order to provide clinically relevant cut-off values and to validate their utility in diverse populations of diabetes patients. Baishideng Publishing Group Inc 2019-01-15 2019-01-15 /pmc/articles/PMC6347654/ /pubmed/30697366 http://dx.doi.org/10.4239/wjd.v10.i1.1 Text en ©The Author(s) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. http://creativecommons.org/licenses/by-nc/4.0/ This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Review Krhač, Maja Lovrenčić, Marijana Vučić Update on biomarkers of glycemic control |
title | Update on biomarkers of glycemic control |
title_full | Update on biomarkers of glycemic control |
title_fullStr | Update on biomarkers of glycemic control |
title_full_unstemmed | Update on biomarkers of glycemic control |
title_short | Update on biomarkers of glycemic control |
title_sort | update on biomarkers of glycemic control |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6347654/ https://www.ncbi.nlm.nih.gov/pubmed/30697366 http://dx.doi.org/10.4239/wjd.v10.i1.1 |
work_keys_str_mv | AT krhacmaja updateonbiomarkersofglycemiccontrol AT lovrencicmarijanavucic updateonbiomarkersofglycemiccontrol |