Literature DB >> 7344883

Hemoglobin A1c compared with three conventional measures of diabetes control.

M H Blanc, D M Barnett, R E Gleason, P J Dunn, J S Soeldner.   

Abstract

Control of diabetes was studied during an 8-wk camp program in 18 insulin-dependent counselors with a mean age of 19.3 yr and a mean duration of diabetes of 11.4 yr. A composite score was obtained for each subject derived from three factors: percent sugar-free urine tests, 24-h glucose excretion as percent of carbohydrate intake, and mean preprandial blood glucose (MPBG). The mean hemoglobin A1c (HbA1c) at the end of the period was 8.3 +/- 1.6% (+/ SD) (normal range, 4-6%). Scores ranging from 24 (fair control) to 45 (excellent control) showed a significant inverse correlation with HbA1c (r = 0.807, P less than 0.001) and MPBG (r = -0.674, P less than 0.01). HbA1c showed a significant correlation with the MPBG (r = 0.693, P less than 0.01). The HbA1c level was predicted better by percent sugar-free urine tests than by the 24-h glucose excretion. Thus it appears that accurate quantification of control may be obtained by using a scoring system. Critical comparison of HbA1c levels to various glycemic indices may provide useful alternatives for estimating diabetes control.

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Year:  1981        PMID: 7344883     DOI: 10.2337/diacare.4.3.349

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  7 in total

1.  Psychometric Properties of the Hypoglycemia Fear Survey in a Clinical Sample of Adolescents with Type 1 Diabetes and Their Caregivers.

Authors:  Holly K O'Donnell; Suzanne Bennett Johnson; Deseray Sileo; Shideh Majidi; Linda Gonder-Frederick; Kimberly A Driscoll
Journal:  J Pediatr Psychol       Date:  2022-02-14

2.  Errors in clinical assessment of glycemic control in patients with non-insulin-dependent diabetes mellitus.

Authors:  A Ramachandran; L Susheela; V Mohan; M Viswanathan
Journal:  Acta Diabetol Lat       Date:  1986 Jul-Sep

3.  Risk factors associated with depressive symptoms in caregivers of children with type 1 diabetes or cystic fibrosis.

Authors:  Kimberly A Driscoll; Suzanne Bennett Johnson; David Barker; Alexandra L Quittner; Larry C Deeb; David E Geller; Magdalen Gondor; Janet H Silverstein
Journal:  J Pediatr Psychol       Date:  2010-01-22

4.  Importance of manually entering blood glucose readings when wireless-compatible meters are not being used with an insulin pump.

Authors:  Kimberly A Driscoll; Suzanne Bennett Johnson; Yuxia Wang; Yuanyuan Tang; Elizabeth C Gill; Adela Mitchell; Nancy Wright; Larry C Deeb
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

5.  Predictors of study completion and withdrawal in a randomized clinical trial of a pediatric diabetes adherence intervention.

Authors:  Kimberly A Driscoll; Michael Killian; Suzanne Bennett Johnson; Janet H Silverstein; Larry C Deeb
Journal:  Contemp Clin Trials       Date:  2009-01-24       Impact factor: 2.226

6.  Insulin bolusing software: the potential to optimize health outcomes in type 1 diabetes mellitus.

Authors:  Kimberly A Driscoll; Suzanne Bennett Johnson; John Hogan; Elizabeth Gill; Nancy Wright; Larry C Deeb
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

7.  Does blood glucose monitoring increase prior to clinic visits in children with type 1 diabetes?

Authors:  Kimberly A Driscoll; Suzanne Bennett Johnson; Yuanyuan Tang; Fang Yang; Larry C Deeb; Janet H Silverstein
Journal:  Diabetes Care       Date:  2011-08-18       Impact factor: 19.112

  7 in total

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