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Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System
BACKGROUND: Discordances between glycated hemoglobin (HbA1c) levels and glycemic control are common in clinical practice. We aimed to investigate the consistency of the glycation gap with the hemoglobin glycation index (HGI). METHODS: From 2016 to 2019, 36 patients with type 2 diabetes were enrolled...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Endocrine Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386126/ https://www.ncbi.nlm.nih.gov/pubmed/32615722 http://dx.doi.org/10.3803/EnM.2020.35.2.377 |
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author | Joung, Han Na Kwon, Hyuk-Sang Baek, Ki-Hyun Song, Ki-Ho Kim, Mee Kyoung |
author_facet | Joung, Han Na Kwon, Hyuk-Sang Baek, Ki-Hyun Song, Ki-Ho Kim, Mee Kyoung |
author_sort | Joung, Han Na |
collection | PubMed |
description | BACKGROUND: Discordances between glycated hemoglobin (HbA1c) levels and glycemic control are common in clinical practice. We aimed to investigate the consistency of the glycation gap with the hemoglobin glycation index (HGI). METHODS: From 2016 to 2019, 36 patients with type 2 diabetes were enrolled. HbA1c, glycated albumin (GA), and fasting blood glucose levels were simultaneously measured and 72-hour continuous glucose monitoring (CGM) was performed on the same day. Repeated tests were performed at baseline and 1 month later, without changing patients’ diabetes management. The HGI was calculated as the difference between the measured HbA1c and the predicted HbA1c that was derived from CGM. The glycation gap was calculated as the difference between the measured and GA-based predicted HbA1c levels. RESULTS: Strong correlations were found between the mean blood glucose (MBG)-based HGI and the prebreakfast glucose-based HGI (r=0.867, P<0.001) and between the glycation gap and the MBG-based HGI (r=0.810, P<0.001). A close correlation was found between the MBG-based HGI at baseline and that after 1 month (r=0.729, P<0.001), with a y-intercept of 0 and a positive slope. CONCLUSION: The HGI and glycation gap were highly reproducible, and the magnitudes of repeated determinations were closely correlated. Patients with similar mean glucose levels may have significantly different HbA1c levels. |
format | Online Article Text |
id | pubmed-7386126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Korean Endocrine Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73861262020-07-29 Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System Joung, Han Na Kwon, Hyuk-Sang Baek, Ki-Hyun Song, Ki-Ho Kim, Mee Kyoung Endocrinol Metab (Seoul) Original Article BACKGROUND: Discordances between glycated hemoglobin (HbA1c) levels and glycemic control are common in clinical practice. We aimed to investigate the consistency of the glycation gap with the hemoglobin glycation index (HGI). METHODS: From 2016 to 2019, 36 patients with type 2 diabetes were enrolled. HbA1c, glycated albumin (GA), and fasting blood glucose levels were simultaneously measured and 72-hour continuous glucose monitoring (CGM) was performed on the same day. Repeated tests were performed at baseline and 1 month later, without changing patients’ diabetes management. The HGI was calculated as the difference between the measured HbA1c and the predicted HbA1c that was derived from CGM. The glycation gap was calculated as the difference between the measured and GA-based predicted HbA1c levels. RESULTS: Strong correlations were found between the mean blood glucose (MBG)-based HGI and the prebreakfast glucose-based HGI (r=0.867, P<0.001) and between the glycation gap and the MBG-based HGI (r=0.810, P<0.001). A close correlation was found between the MBG-based HGI at baseline and that after 1 month (r=0.729, P<0.001), with a y-intercept of 0 and a positive slope. CONCLUSION: The HGI and glycation gap were highly reproducible, and the magnitudes of repeated determinations were closely correlated. Patients with similar mean glucose levels may have significantly different HbA1c levels. Korean Endocrine Society 2020-06 2020-06-30 /pmc/articles/PMC7386126/ /pubmed/32615722 http://dx.doi.org/10.3803/EnM.2020.35.2.377 Text en Copyright © 2020 Korean Endocrine Society This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Joung, Han Na Kwon, Hyuk-Sang Baek, Ki-Hyun Song, Ki-Ho Kim, Mee Kyoung Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System |
title | Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System |
title_full | Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System |
title_fullStr | Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System |
title_full_unstemmed | Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System |
title_short | Consistency of the Glycation Gap with the Hemoglobin Glycation Index Derived from a Continuous Glucose Monitoring System |
title_sort | consistency of the glycation gap with the hemoglobin glycation index derived from a continuous glucose monitoring system |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386126/ https://www.ncbi.nlm.nih.gov/pubmed/32615722 http://dx.doi.org/10.3803/EnM.2020.35.2.377 |
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