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Glucose Metabolism Disorder in Obese Children Assessed by Continuous Glucose Monitoring System

Overview
Journal World J Pediatr
Specialty Pediatrics
Date 2008 Apr 12
PMID 18402248
Citations 5
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Abstract

Background: Continuous glucose monitoring system (CGMS) can measure glucose levels at 5-minute intervals over a few days, and may be used to detect hypoglycemia, guide insulin therapy, and control glucose levels. This study was undertaken to assess the glucose metabolism disorder by CGMS in obese children.

Methods: Eighty-four obese children were studied. Interstitial fluid (ISF) glucose levels were measured by CGMS for 24 hours covering the time for oral glucose tolerance test (OGTT). Impaired glucose tolerance (IGT), impaired fasting glucose (IFG), type 2 diabetic mellitus (T2DM) and hypoglycemia were assessed by CGMS.

Results: Five children failed to complete CGMS test. The glucose levels in ISF measured by CGMS were highly correlated with those in capillary samples (r=0.775, P<0.001). However, the correlation between ISF and capillary glucose levels was lower during the first hour than that in the later time period (r=0.722 vs r=0.830), and the ISF glucose levels in 69.62% of children were higher than baseline levels in the initial 1-3 hours. In 79 obese children who finished the CGMS, 2 children had IFG, 2 had IGT, 3 had IFG + IGT, and 2 had T2DM. Nocturnal hypoglycemia was noted during the overnight fasting in 11 children (13.92%).

Conclusions: Our data suggest that glucose metabolism disorder including hyperglycemia and hypoglycemia is very common in obese children. Further studies are required to improve the precision of the CGMS in children.

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References
1.
Urakami T, Kubota S, Nitadori Y, Harada K, Owada M, Kitagawa T . Annual incidence and clinical characteristics of type 2 diabetes in children as detected by urine glucose screening in the Tokyo metropolitan area. Diabetes Care. 2005; 28(8):1876-81. DOI: 10.2337/diacare.28.8.1876. View

2.
Reinehr T, Andler W, Denzer C, Siegried W, Mayer H, Wabitsch M . Cardiovascular risk factors in overweight German children and adolescents: relation to gender, age and degree of overweight. Nutr Metab Cardiovasc Dis. 2005; 15(3):181-7. DOI: 10.1016/j.numecd.2004.06.003. View

3.
Sternberg F, Meyerhoff C, Mennel F, Mayer H, Bischof F, Pfeiffer E . Does fall in tissue glucose precede fall in blood glucose?. Diabetologia. 1996; 39(5):609-12. DOI: 10.1007/BF00403309. View

4.
Saito T, Shimazaki Y, Kiyohara Y, Kato I, Kubo M, Iida M . Relationship between obesity, glucose tolerance, and periodontal disease in Japanese women: the Hisayama study. J Periodontal Res. 2005; 40(4):346-53. DOI: 10.1111/j.1600-0765.2005.00813.x. View

5.
Chou P, Li C, Wu G, Tsai S . Progression to type 2 diabetes among high-risk groups in Kin-Chen, Kinmen. Exploring the natural history of type 2 diabetes. Diabetes Care. 1998; 21(7):1183-7. DOI: 10.2337/diacare.21.7.1183. View