Literature DB >> 12351488

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

Silvana Salardi1, Stefano Zucchini, Roberta Santoni, Luca Ragni, Stefano Gualandi, Alessandro Cicognani, Emanuele Cacciari.   

Abstract

OBJECTIVE: The purpose of this study was to determine whether the continuous glucose monitoring system (CGMS) (MiniMed, Sylmar, CA) 1) is sufficiently representative of the overall metabolic control as assessed by HbA(1c), 2) could be used to identify a particular blood glucose threshold value affecting hemoglobin glycation; and 3) is able to show any relationship between particular glycemic profiles and HbA(1c) levels. RESEARCH DESIGN AND METHODS: Of 44 pediatric patients with type 1 diabetes who wore CGMS devices, 28 subjects were selected for the study. Criteria for inclusion were high levels of HbA(1c) (> or =8%) for more than 1 year or a history of frequent hypoglycemic episodes and a complete CGMS registration for 72 h. Age of the subjects ranged from 5.7 to 24.8 years, the mean duration of disease was 7.63 +/- 4.75 years, and the mean HbA(1c) value was 8.7 +/- 1.3%. CGMS data were downloaded and glucose profiles were analyzed. The area under each glucose profile was calculated by means of a professional digital planimeter.
RESULTS: The glucose profiles showed a high frequency of prolonged hyperglycemic periods (80% of subjects) and a low frequency of postmeal glycemic peaks (29% of subjects). Postlunch values were significantly correlated with HbA(1c) levels, but the correlation disappeared when controlling for glucose area values. Glucose area values significantly correlated with HbA(1c) levels both when considered as a whole (40-400 mg/dl; r = 0.53, P = 0.002) and when considered fractioned (40-150, 40-200, 40-250, 40-300 mg/dl), apart from the 40-90 mg/dl partial area. HbA(1c) levels were significantly decreased 3 and 6 months after use of CGMS (P = 0.05 and 0.03, respectively, paired Student's t test).
CONCLUSIONS: HbA(1c) levels may be decreased by using the information obtained with the CGMS. Three-day glucose profiles are representative of the overall glucose control, because glucose area values correlate with HbA(1c) levels. The only glucose threshold below which there seems to be no correlation with HbA(1c) is 90 mg/dl. Only glucose area, and not postprandial glucose values, are directly and independently correlated with HbA(1c). Therefore, to improve metabolic control, it is necessary to lower the whole mean 24-h glycemia and not just the postprandial glucose values.

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Year:  2002        PMID: 12351488     DOI: 10.2337/diacare.25.10.1840

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


  20 in total

1.  Translating glucose variability metrics into the clinic via Continuous Glucose Monitoring: a Graphical User Interface for Diabetes Evaluation (CGM-GUIDE©).

Authors:  Renata A Rawlings; Hang Shi; Lo-Hua Yuan; William Brehm; Rodica Pop-Busui; Patrick W Nelson
Journal:  Diabetes Technol Ther       Date:  2011-09-20       Impact factor: 6.118

2.  Recent advances in continuous glucose monitoring: biocompatibility of glucose sensors for implantation in subcutis.

Authors:  Peter H Kvist; Henrik E Jensen
Journal:  J Diabetes Sci Technol       Date:  2007-09

3.  How much do forgotten insulin injections matter to hemoglobin a1c in people with diabetes? A simulation study.

Authors:  Jette Randløv; Jens Ulrik Poulsen
Journal:  J Diabetes Sci Technol       Date:  2008-03

4.  The correlation of hemoglobin A1c to blood glucose.

Authors:  Ken Sikaris
Journal:  J Diabetes Sci Technol       Date:  2009-05-01

5.  A review of current evidence with continuous glucose monitoring in patients with diabetes.

Authors:  Christophe De Block; Begoña Manuel-y-Keenoy; Luc Van Gaal
Journal:  J Diabetes Sci Technol       Date:  2008-07

6.  Glucose fluctuations and activation of oxidative stress in patients with type 1 diabetes.

Authors:  I M E Wentholt; W Kulik; R P J Michels; J B L Hoekstra; J H DeVries
Journal:  Diabetologia       Date:  2007-11-10       Impact factor: 10.122

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

Authors:  Jannik Kruse Nielsen; Claus Højbjerg Gravholt; Christian Born Djurhuus; Derek Brandt; Joern Becker; Lutz Heinemann; Jens Sandahl Christiansen
Journal:  J Diabetes Sci Technol       Date:  2007-11

8.  Glycaemic impact of patient-led use of sensor-guided pump therapy in type 1 diabetes: a randomised controlled trial.

Authors:  M A O'Connell; S Donath; D N O'Neal; P G Colman; G R Ambler; T W Jones; E A Davis; F J Cameron
Journal:  Diabetologia       Date:  2009-04-25       Impact factor: 10.122

Review 9.  Continuous Glucose Monitoring System in children with type 1 diabetes mellitus: a systematic review and meta-analysis.

Authors:  D T Golicki; D Golicka; L Groele; E Pankowska
Journal:  Diabetologia       Date:  2007-12-01       Impact factor: 10.122

10.  Relationship of A1C to glucose concentrations in children with type 1 diabetes: assessments by high-frequency glucose determinations by sensors.

Authors:  Darrell M Wilson
Journal:  Diabetes Care       Date:  2007-12-04       Impact factor: 19.112

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