Literature DB >> 3552508

Ambulatory glucose profile: representation of verified self-monitored blood glucose data.

R S Mazze, D Lucido, O Langer, K Hartmann, D Rodbard.   

Abstract

Sixty-nine individuals with diabetes (23 with type I, 15 with pregestational, and 31 with gestational) used specially modified reflectance meters containing memory chips enabling the instruments to store 440 individual blood glucose values with corresponding time and date. These data were organized into 14-day periods and then collapsed into a graphic depiction, the Ambulatory Glucose Profile (AGP), which was represented as the pattern of the 25th, 50th, and 75th percentiles of blood glucose values. These three curves illustrate the median level of control and provide an index of variability in control at each hour of a "typical day." We observed distinctive AGPs related to the variability in metabolic control and the type of diabetes. Comparisons between diagnostic groups showed consistent differences between groups, independent of level of glycemic control. Review of serial AGPs obtained for sequential 2-wk periods for 23 non-pregnant individuals with type I diabetes and 10 women with gestational diabetes revealed changes in AGP corresponding to alterations in regimen. The AGP provides a new approach to the evaluation of glycemic control, with applications to patient and physician education, clinical investigation, and individual patient care.

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Year:  1987        PMID: 3552508     DOI: 10.2337/diacare.10.1.111

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


  34 in total

1.  Rapid improvement of glycemic control in type 2 diabetes using weekly intensive multifactorial interventions: structured glucose monitoring, patient education, and adjustment of therapy-a randomized controlled trial.

Authors:  Augusto Pimazoni-Netto; David Rodbard; Maria Teresa Zanella
Journal:  Diabetes Technol Ther       Date:  2011-07-13       Impact factor: 6.118

2.  New approaches to display of self-monitoring of blood glucose data.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

Review 3.  Metrics Beyond Hemoglobin A1C in Diabetes Management: Time in Range, Hypoglycemia, and Other Parameters.

Authors:  Lorena Alarcon-Casas Wright; Irl B Hirsch
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

4.  Optimizing display, analysis, interpretation and utility of self-monitoring of blood glucose (SMBG) data for management of patients with diabetes.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2007-01

5.  Evaluating quality of glycemic control: graphical displays of hypo- and hyperglycemia, time in target range, and mean glucose.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2014-10-14

6.  Ambulatory glucose profile analysis of the juvenile diabetes research foundation continuous glucose monitoring dataset-Applications to the pediatric diabetes population.

Authors:  Gregory P Forlenza; Laura L Pyle; David M Maahs; Timothy C Dunn
Journal:  Pediatr Diabetes       Date:  2016-11-23       Impact factor: 4.866

7.  Time Savings Using a Standardized Glucose Reporting System and Ambulatory Glucose Profile.

Authors:  Deborah M Mullen; Richard Bergenstal; Amy Criego; Kathleen Cecilia Arnold; Robin Goland; Sara Richter
Journal:  J Diabetes Sci Technol       Date:  2017-11-24

Review 8.  Role of Continuous Glucose Monitoring in Clinical Trials: Recommendations on Reporting.

Authors:  Oliver Schnell; Katharine Barnard; Richard Bergenstal; Emanuele Bosi; Satish Garg; Bruno Guerci; Thomas Haak; Irl B Hirsch; Linong Ji; Shashank R Joshi; Maarten Kamp; Lori Laffel; Chantal Mathieu; William H Polonsky; Frank Snoek; Philip Home
Journal:  Diabetes Technol Ther       Date:  2017-05-22       Impact factor: 6.118

9.  Display of glucose distributions by date, time of day, and day of week: new and improved methods.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

Review 10.  Continuous Glucose Monitoring Integration in Clinical Practice: A Stepped Guide to Data Review and Interpretation.

Authors:  Grazia Aleppo; Kimberly Webb
Journal:  J Diabetes Sci Technol       Date:  2018-11-19
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