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New Indices for Predicting Glycaemic Variability

Blood glucose variability is known to be associated with increased risk of long-term complications. Reliable indices for predicting hyperglycaemic and hypoglycaemic fluctuations are therefore needed. Glycaemic standard deviation (SD) obtained by continuous glucose monitoring correlates closely with...

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Autores principales: Ogawa, Akifumi, Hayashi, Akinori, Kishihara, Eriko, Yoshino, Sonomi, Takeuchi, Akihiro, Shichiri, Masayoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459933/
https://www.ncbi.nlm.nih.gov/pubmed/23029543
http://dx.doi.org/10.1371/journal.pone.0046517
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author Ogawa, Akifumi
Hayashi, Akinori
Kishihara, Eriko
Yoshino, Sonomi
Takeuchi, Akihiro
Shichiri, Masayoshi
author_facet Ogawa, Akifumi
Hayashi, Akinori
Kishihara, Eriko
Yoshino, Sonomi
Takeuchi, Akihiro
Shichiri, Masayoshi
author_sort Ogawa, Akifumi
collection PubMed
description Blood glucose variability is known to be associated with increased risk of long-term complications. Reliable indices for predicting hyperglycaemic and hypoglycaemic fluctuations are therefore needed. Glycaemic standard deviation (SD) obtained by continuous glucose monitoring correlates closely with nine previously described glycaemic variability formulas. Here, new indices predictive of glycaemic variability were developed, which can be calculated from laboratory measures based on a single blood draw. The indices included the glycated albumin (GA) to HbA1c ratio (GA/A1c ratio) and the fasting C-peptide immunoreactivity (FCPR) to fasting plasma glucose (FPG) ratio (FCPR index). Predictive values of these indices were assessed in 100 adults with diabetes. GA/A1c ratio and FCPR index showed close associations with glycaemic SD in addition to the nine existing glucose variability formulas. Subjects with a GA/A1c ratio ≥2.8 and FCPR index <3.0 showed the greatest SD and longest durations of hypoglycaemia, while those with a GA/A1c ratio <2.8 and FCPR index ≥3.0 had smaller SDs and little sign of hypoglycaemia. In adults with diabetes, a high GA/A1c ratio and low FCPR index value reflect higher glycaemic excursions, irrespective of diabetes type. Simultaneous measurements of GA, HbA1c, FPG and FCPR may help to identify a group of patients who warrant closer monitoring in relation to glycaemic variability and hypoglycaemia.
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spelling pubmed-34599332012-10-01 New Indices for Predicting Glycaemic Variability Ogawa, Akifumi Hayashi, Akinori Kishihara, Eriko Yoshino, Sonomi Takeuchi, Akihiro Shichiri, Masayoshi PLoS One Research Article Blood glucose variability is known to be associated with increased risk of long-term complications. Reliable indices for predicting hyperglycaemic and hypoglycaemic fluctuations are therefore needed. Glycaemic standard deviation (SD) obtained by continuous glucose monitoring correlates closely with nine previously described glycaemic variability formulas. Here, new indices predictive of glycaemic variability were developed, which can be calculated from laboratory measures based on a single blood draw. The indices included the glycated albumin (GA) to HbA1c ratio (GA/A1c ratio) and the fasting C-peptide immunoreactivity (FCPR) to fasting plasma glucose (FPG) ratio (FCPR index). Predictive values of these indices were assessed in 100 adults with diabetes. GA/A1c ratio and FCPR index showed close associations with glycaemic SD in addition to the nine existing glucose variability formulas. Subjects with a GA/A1c ratio ≥2.8 and FCPR index <3.0 showed the greatest SD and longest durations of hypoglycaemia, while those with a GA/A1c ratio <2.8 and FCPR index ≥3.0 had smaller SDs and little sign of hypoglycaemia. In adults with diabetes, a high GA/A1c ratio and low FCPR index value reflect higher glycaemic excursions, irrespective of diabetes type. Simultaneous measurements of GA, HbA1c, FPG and FCPR may help to identify a group of patients who warrant closer monitoring in relation to glycaemic variability and hypoglycaemia. Public Library of Science 2012-09-27 /pmc/articles/PMC3459933/ /pubmed/23029543 http://dx.doi.org/10.1371/journal.pone.0046517 Text en © 2012 Ogawa et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Ogawa, Akifumi
Hayashi, Akinori
Kishihara, Eriko
Yoshino, Sonomi
Takeuchi, Akihiro
Shichiri, Masayoshi
New Indices for Predicting Glycaemic Variability
title New Indices for Predicting Glycaemic Variability
title_full New Indices for Predicting Glycaemic Variability
title_fullStr New Indices for Predicting Glycaemic Variability
title_full_unstemmed New Indices for Predicting Glycaemic Variability
title_short New Indices for Predicting Glycaemic Variability
title_sort new indices for predicting glycaemic variability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3459933/
https://www.ncbi.nlm.nih.gov/pubmed/23029543
http://dx.doi.org/10.1371/journal.pone.0046517
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