Literature DB >> 16949515

Assessment of the relationship between glucose and A1c using kinetic modeling.

Siv M Osterman-Golkar1, Hubert W Vesper.   

Abstract

Treatment goals for diabetic patients are directed towards lowering A1c values by controlling blood glucose concentrations (BGC), making it important to understand the relationship between the two parameters. Because findings from clinical trials about the relationship between BGC and A1c values show a profound variability around the obtained regression lines, they are difficult to apply to individual patients. Therefore, a model was developed and applied based on the kinetics of HbA1c formation and removal. It takes the instability of A1c and loss of hemoglobin into consideration. Data from clinical studies and hypothetical scenarios were used to test the model and to describe the relationship between A1c and BGC. A close agreement between experimental and calculated data was obtained in steady-state and non-steady-state conditions. Aside the erythrocyte life span, the chemical instability of A1c appears to affect A1c levels markedly and their changes due to therapy. A threefold increase in BGC over 30 days prior to A1c measurement can cause an increase in A1c value of about 120% as compared with 4% when it occurs 4 months prior to A1c measurement. Profound daily fluctuations in BGC result in minor changes in A1c. In conclusion, A1c provides information about a patient's glycemia, mainly over the past 2 months, and may not reflect well daily blood glucose fluctuations. This model might be suitable to identify individual differences in glycation rates.

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Year:  2006        PMID: 16949515     DOI: 10.1016/j.jdiacomp.2005.07.009

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  12 in total

1.  Hemoglobin A1c and Self-Monitored Average Glucose: Validation of the Dynamical Tracking eA1c Algorithm in Type 1 Diabetes.

Authors:  Boris P Kovatchev; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2015-11-09

2.  Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring.

Authors:  Roy Malka; David M Nathan; John M Higgins
Journal:  Sci Transl Med       Date:  2016-10-05       Impact factor: 17.956

3.  A semi-mechanistic model of the relationship between average glucose and HbA1c in healthy and diabetic subjects.

Authors:  Rocío Lledó-García; Norman A Mazer; Mats O Karlsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-01-10       Impact factor: 2.745

Review 4.  Metrics for glycaemic control - from HbA1c to continuous glucose monitoring.

Authors:  Boris P Kovatchev
Journal:  Nat Rev Endocrinol       Date:  2017-03-17       Impact factor: 43.330

Review 5.  Pharmacokinetic/pharmacodynamic modelling in diabetes mellitus.

Authors:  Cornelia B Landersdorfer; William J Jusko
Journal:  Clin Pharmacokinet       Date:  2008       Impact factor: 6.447

6.  Exposure of the U.S. population to acrylamide in the National Health and Nutrition Examination Survey 2003-2004.

Authors:  Hubert W Vesper; Samuel P Caudill; John D Osterloh; Tunde Meyers; Deanna Scott; Gary L Myers
Journal:  Environ Health Perspect       Date:  2010-02       Impact factor: 9.031

7.  Accuracy and robustness of dynamical tracking of average glycemia (A1c) to provide real-time estimation of hemoglobin A1c using routine self-monitored blood glucose data.

Authors:  Boris P Kovatchev; Frank Flacke; Jochen Sieber; Marc D Breton
Journal:  Diabetes Technol Ther       Date:  2013-12-03       Impact factor: 6.118

8.  Glycated Hemoglobin, Plasma Glucose, and Erythrocyte Aging.

Authors:  Manuel Beltran Del Rio; Mukesh Tiwari; Leo I Amodu; Joaquin Cagliani; Horacio Luis Rodriguez Rilo
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

9.  Longitudinal Modeling of the Relationship Between Mean Plasma Glucose and HbA1c Following Antidiabetic Treatments.

Authors:  J B Møller; R V Overgaard; M C Kjellsson; N R Kristensen; S Klim; S H Ingwersen; M O Karlsson
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-10-30

10.  Changes in HbA1c level over a 12-week follow-up in patients with type 2 diabetes following a medication change.

Authors:  Jennifer A Hirst; Richard J Stevens; Andrew J Farmer
Journal:  PLoS One       Date:  2014-03-25       Impact factor: 3.240

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