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An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)

HbA(1c) is a standard clinical assessment of glycemia and the basis of most data relating glycemic control to complications. While daily blood glucose testing gives a picture of day-to-day fluctuations, the HbA(1c) test offers an overview of how well glucose has been controlled over the past 4 month...

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Detalles Bibliográficos
Autor principal: Kahrom, Mahdi
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939406/
https://www.ncbi.nlm.nih.gov/pubmed/20871656
http://dx.doi.org/10.1155/2010/481326
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author Kahrom, Mahdi
author_facet Kahrom, Mahdi
author_sort Kahrom, Mahdi
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description HbA(1c) is a standard clinical assessment of glycemia and the basis of most data relating glycemic control to complications. While daily blood glucose testing gives a picture of day-to-day fluctuations, the HbA(1c) test offers an overview of how well glucose has been controlled over the past 4 months. I devised an innovative mathematical model to describe novel equations governing HbA(1c) which enables analysis of HbA(1c) behavior and provides emerging new concepts in assessment of diabetes management. Linear relationship of HbA(1c) and mean plasma glucose along with the kinetic analysis of HbA(1c) formation has been used as the basic suppositions to construct this model. The main application of this devised model is prediction of mean plasma glucose at any desired point in time after a change in therapy and with great certainty. This model also appraises the pattern of HbA(1c) changes over time and provides a unique opportunity to address common mistakes and misconceptions in routine application of HbA(1c) that could have potentially important implications on diabetes control.
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spelling pubmed-29394062010-09-24 An Innovative Mathematical Model: A Key to the Riddle of HbA(1c) Kahrom, Mahdi Int J Endocrinol Research Article HbA(1c) is a standard clinical assessment of glycemia and the basis of most data relating glycemic control to complications. While daily blood glucose testing gives a picture of day-to-day fluctuations, the HbA(1c) test offers an overview of how well glucose has been controlled over the past 4 months. I devised an innovative mathematical model to describe novel equations governing HbA(1c) which enables analysis of HbA(1c) behavior and provides emerging new concepts in assessment of diabetes management. Linear relationship of HbA(1c) and mean plasma glucose along with the kinetic analysis of HbA(1c) formation has been used as the basic suppositions to construct this model. The main application of this devised model is prediction of mean plasma glucose at any desired point in time after a change in therapy and with great certainty. This model also appraises the pattern of HbA(1c) changes over time and provides a unique opportunity to address common mistakes and misconceptions in routine application of HbA(1c) that could have potentially important implications on diabetes control. Hindawi Publishing Corporation 2010 2010-08-29 /pmc/articles/PMC2939406/ /pubmed/20871656 http://dx.doi.org/10.1155/2010/481326 Text en Copyright © 2010 Mahdi Kahrom. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kahrom, Mahdi
An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)
title An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)
title_full An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)
title_fullStr An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)
title_full_unstemmed An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)
title_short An Innovative Mathematical Model: A Key to the Riddle of HbA(1c)
title_sort innovative mathematical model: a key to the riddle of hba(1c)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2939406/
https://www.ncbi.nlm.nih.gov/pubmed/20871656
http://dx.doi.org/10.1155/2010/481326
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