Literature DB >> 19885157

Continuous subcutaneous glucose monitoring shows a close correlation between mean glucose and time spent in hyperglycemia and hemoglobin A1c.

Jannik Kruse Nielsen1, Claus Højbjerg Gravholt, Christian Born Djurhuus, Derek Brandt, Joern Becker, Lutz Heinemann, Jens Sandahl Christiansen.   

Abstract

BACKGROUND: The Diabetes Control and Complications Trial and United Kingdom Prospective Diabetes Study highlighted hemoglobin A1c (HbA1c) as the main predictor of diabetic complications. Currently, diabetes is managed by frequent capillary spot glucose measurements, but continuous monitoring systems may have the capacity of improving diabetic control. The SCGM 1 system is microdialysis based and allows for monitoring of changes in interstitial fluid glucose levels every minute. The aim of this study was to evaluate the correlation between HbA1c and short-term glucose excursions in patients with type 1 diabetes.
MATERIAL AND METHODS: We investigated 91 patients with type 1 diabetes (mean +/- standard deviation (SD); age 34 +/- 10 years, body mass index 24.2 +/- 4.1 kg/m2) with a duration of diabetes of 17 +/- 11 years for 4.8 +/- 0.4 days. The average HbA1c was 7.9 +/- 1.4%. From the monitoring profiles we determined individual mean glucose, the SD of glucose, and the relative time spent in hyperglycemia and hypoglycemia calculated as the area under the curve (AUC) with arbitrary cutoffs of 180 and 70 mg/dl, respectively.
RESULTS: Mean glucose, SD glucose, and hyperglycemic and hypoglycemic AUC all correlated with HbA1c, but with decreasing statistical power. In multiple linear regression analysis, mean glucose was the sole independent variable (r = 0.626, p < 0.0001). A close correlation between HbA1c and various measures of short-term hyperglycemic values was observed. There was a close correlation between mean glucose and SD glucose, pointing toward increased variability with increasing mean glucose.
CONCLUSIONS: Mean glucose generated after short-term continuous monitoring is the main predictor of HbA1c and reveals increased lability of glucose with increasing mean glucose and HbA1c.

Entities:  

Keywords:  HbA1c; continuous glucose monitoring; metabolic control; microdialysis

Year:  2007        PMID: 19885157      PMCID: PMC2769673          DOI: 10.1177/193229680700100609

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  21 in total

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Authors:  Rachel Derr; Elizabeth Garrett; Gerald A Stacy; Christopher D Saudek
Journal:  Diabetes Care       Date:  2003-10       Impact factor: 19.112

2.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

3.  The response of GHb to stepwise plasma glucose change over time in diabetic patients.

Authors:  Y Tahara; K Shima
Journal:  Diabetes Care       Date:  1993-09       Impact factor: 19.112

4.  Platelet catecholamine concentrations after short-term stress in normal subjects.

Authors:  E Carstensen; J S Yudkin
Journal:  Clin Sci (Lond)       Date:  1994-01       Impact factor: 6.124

5.  Critical evaluation of the potential error in pharmacokinetic studies of using the linear trapezoidal rule method for the calculation of the area under the plasma level--time curve.

Authors:  W L Chiou
Journal:  J Pharmacokinet Biopharm       Date:  1978-12

6.  Contributions of fasting and postprandial plasma glucose increments to the overall diurnal hyperglycemia of type 2 diabetic patients: variations with increasing levels of HbA(1c).

Authors:  Louis Monnier; Hélène Lapinski; Claude Colette
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

7.  Continuous glucose monitoring: reliable measurements for up to 4 days with the SCGM1 system.

Authors:  Christoph Kapitza; Volker Lodwig; Karin Obermaier; Klaas Jan C Wientjes; Klaas Hoogenberg; Karsten Jungheim; Lutz Heinemann
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

8.  On line continuous monitoring of subcutaneous tissue glucose in men by combining portable glucosensor with microdialysis.

Authors:  C Meyerhoff; F Bischof; F Sternberg; H Zier; E F Pfeiffer
Journal:  Diabetologia       Date:  1992-11       Impact factor: 10.122

9.  The glucose area under the profiles obtained with continuous glucose monitoring system relationships with HbA(lc) in pediatric type 1 diabetic patients.

Authors:  Silvana Salardi; Stefano Zucchini; Roberta Santoni; Luca Ragni; Stefano Gualandi; Alessandro Cicognani; Emanuele Cacciari
Journal:  Diabetes Care       Date:  2002-10       Impact factor: 19.112

10.  Preprandial versus postprandial blood glucose monitoring in type 1 diabetic pregnancy: a randomized controlled clinical trial.

Authors:  John G Manderson; Christopher C Patterson; David R Hadden; Anthony I Traub; Cieran Ennis; David R McCance
Journal:  Am J Obstet Gynecol       Date:  2003-08       Impact factor: 8.661

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  5 in total

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Review 2.  Pitfalls in hemoglobin A1c measurement: when results may be misleading.

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Journal:  J Gen Intern Med       Date:  2013-09-04       Impact factor: 5.128

3.  Effect of Continuous Glucose Monitoring Accuracy on Clinicians' Retrospective Decision Making in Diabetes: A Pilot Study.

Authors:  Zeinab Mahmoudi; Mette Dencker Johansen; Hanne Holdflod Nørgaard; Steen Andersen; Ulrik Pedersen-Bjergaard; Lise Tarnow; Jens Sandahl Christiansen; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2015-06-08

4.  Digital Health Care by In Silico Glycation of HbA1 Blood Cells.

Authors:  James M Minor; Leslie M Rickey; Richard M Bergenstal
Journal:  J Diabetes Sci Technol       Date:  2017-03-22

5.  Comparison between one-point calibration and two-point calibration approaches in a continuous glucose monitoring algorithm.

Authors:  Zeinab Mahmoudi; Mette Dencker Johansen; Jens Sandahl Christiansen; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2014-04-21
  5 in total

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