Literature DB >> 12200073

High and low hemoglobin glycation phenotypes in type 1 diabetes: a challenge for interpretation of glycemic control.

James M Hempe1, Ricardo Gomez, Robert J McCarter, Stuart A Chalew.   

Abstract

This study tested the hypothesis that there are consistent individual differences in the relationship between glycated hemoglobin (HbA1c) and mean blood glucose (MBG) levels in individuals with similar preceding blood glucose levels. Blood glucose data were collected for up to 2.3 years by 128 children and adolescents with type 1 diabetes. HbA1c values were date-matched with MBG levels calculated from an average of 85 self-monitored blood glucose measurements collected in the previous 30 days. There was significant linear correlation between MBG and HbA1c (HbA1c=0.027xMBG+5.8, n=682, r=.71, P<.0001) but also wide variability in the population HbA1c response to MBG. We calculated a hemoglobin glycation index (HGI=observed HbA1c-predicted HbA1c) to quantify the magnitude and direction of the difference between each patient's set of observed and predicted HbA1c results. Likelihood ratio tests and t statistics showed that mean HGI were significantly different among individuals, and that 29% of the patients had HbA1c levels that were statistically significantly higher or lower than predicted by the regression equation. The observed individual differences in the relationship between MBG and HbA1c were not related to erythrocyte age and there was no evidence of analytical artifact. We interpret these results as possible evidence of high and low hemoglobin glycation phenotypes within the population. We conclude that MBG and HbA1c are not necessarily interchangeable estimates of glycemic control and that hemoglobin glycation phenotype may be important for the clinical assessment of diabetic patients.

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Year:  2002        PMID: 12200073     DOI: 10.1016/s1056-8727(01)00227-6

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


  73 in total

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Authors:  S Chalew; J M Hempe
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Review 2.  The proposed terminology 'A(1c)-derived average glucose' is inherently imprecise and should not be adopted.

Authors:  Z T Bloomgarden; S E Inzucchi; E Karnieli; D Le Roith
Journal:  Diabetologia       Date:  2008-05-01       Impact factor: 10.122

3.  The correlation of hemoglobin A1c to blood glucose.

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Review 4.  The clinical use of hemoglobin A1c.

Authors:  Christopher D Saudek; Jessica C Brick
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

5.  The Fallacy of Average: How Using HbA1c Alone to Assess Glycemic Control Can Be Misleading.

Authors:  Roy W Beck; Crystal G Connor; Deborah M Mullen; David M Wesley; Richard M Bergenstal
Journal:  Diabetes Care       Date:  2017-08       Impact factor: 19.112

6.  Markers of glycemic control in the mouse: comparisons of 6-h- and overnight-fasted blood glucoses to Hb A1c.

Authors:  Byoung Geun Han; Chuan-Ming Hao; Elena E Tchekneva; Ying-Ying Wang; Chieh Allen Lee; Benyamin Ebrahim; Raymond C Harris; Timothy S Kern; David H Wasserman; Matthew D Breyer; Zhonghua Qi
Journal:  Am J Physiol Endocrinol Metab       Date:  2008-07-29       Impact factor: 4.310

Review 7.  HbA1c for screening and diagnosis of diabetes mellitus.

Authors:  Trefor Higgins
Journal:  Endocrine       Date:  2012-08-21       Impact factor: 3.633

8.  Do high blood glucose peaks contribute to higher HbA1c? Results from repeated continuous glucose measurements in children.

Authors:  Samuelsson Ulf; Hanas Ragnar; Whiss Per Arne; Ludvigsson Johnny
Journal:  World J Pediatr       Date:  2008-08       Impact factor: 2.764

9.  Estimated average glucose and self-monitored mean blood glucose are discordant estimates of glycemic control.

Authors:  James M Hempe; Arlette A Soros; Stuart A Chalew
Journal:  Diabetes Care       Date:  2010-03-31       Impact factor: 17.152

10.  Labile A1C is inversely correlated with the hemoglobin glycation index in children with type 1 diabetes.

Authors:  Stuart A Chalew; Robert J McCarter; Jeanine Ory-Ascani; James M Hempe
Journal:  Diabetes Care       Date:  2009-11-16       Impact factor: 19.112

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