scholarly journals Glycemic Variability in Abdominally Obese Men With Normal Glucose Tolerance as Assessed by Continuous Glucose Monitoring System

Obesity ◽  
2011 ◽  
Vol 19 (8) ◽  
pp. 1616-1622 ◽  
Author(s):  
Chun-Ming Ma ◽  
Fu-Zai Yin ◽  
Rui Wang ◽  
Chun-Mei Qin ◽  
Bo Liu ◽  
...  
2010 ◽  
Vol 162 (4) ◽  
pp. 705-710 ◽  
Author(s):  
Riccardo Schiaffini ◽  
Claudia Brufani ◽  
Beatrice Russo ◽  
Danilo Fintini ◽  
Antonella Migliaccio ◽  
...  

A long pre-diabetic phase of abnormal glucose tolerance is described in subjects with cystic fibrosis (CF) since childhood.ObjectiveThe aims of the study were to compare oral glucose tolerance test (OGTT) and continuous glucose monitoring system (CGMS) in the diagnosis of altered glucose metabolism, and to longitudinally evaluate the role of CGMS in predicting glucose metabolism deterioration in children with CF.MethodsSeventeen children with CF and 14 controls were enrolled (mean age 13.3±3.0 years). All subjects underwent OGTT and CGMS registration. On the basis of OGTT, children were classified as normal glucose tolerance, impaired glucose tolerance (IGT), IGT plus at least one glucose value above 200 mg/dl at intermediate OGTT points (IGT+200) and CF-related diabetes (CFRD). HbA1c, glucose area under the curve, insulin sensitivity, and insulinogenic and disposition indexes were also considered. Subjects with CF underwent another OGTT after 2.5 years.ResultsBaseline OGTT revealed 3/17 (7.6%) children with CF with at least one glucose value above 200 mg/dl (1 CFRD and 2 IGT+200), while CGMS revealed 6/17 (35.3%) children with glucose excursions above 200 mg/dl (P=0.010). None of the controls showed glucose over 200 mg/dl either at OGTT or at CGMS. At the 2.5-year follow-up OGTT, all the six subjects who had diabetic glucose excursion (i.e. >200 mg/dl) at baseline CGMS presented IGT+200 or CFRD. In logistic regression analysis, CGMS diabetic excursion was the strongest predictor of IGT+200 and CFRD (P<0.001).ConclusionsCGMS could be a useful tool to predict glucose metabolism derangements in children affected by CF.


2020 ◽  
pp. 193229682094988
Author(s):  
Valeria Mercuri ◽  
Tania D’Amico ◽  
Denise Costa ◽  
Corrado De Vito ◽  
Luca D’Angelo ◽  
...  

Background: Acromegaly is characterized by an insulin resistance condition. There is a significant difference between the different types of therapy in relation to the glycometabolic framework. The blinded continuous glucose monitoring system (CGMS), throughout a period of maximum 6 days for a total of 288 glycemic registrations per day, identifies glycemic excursions and could constitute a valid device to understand the 24-hour glycemic profiles. Aim of the study: To compare the oral glucose tolerance test (OGTT) and CGMS methods in acromegalic patients to evaluate their glycemic profiles, in relation to different treatments for acromegaly. Methods: Thirty-five acromegalic patients were divided into 18 somatostatin analogs (SSA), 9 pegvisomant, and 8 successfully surgically treated. A 72-hour CGM was performed and, immediately after, an OGTT. Results: Results obtained from OGTT: 11/35 impaired fasting glucose, 6/35 impaired glucose tolerance, and 4/35 diabetes mellitus. A positive significant correlation was demonstrated between the OGTT peak and CGM peak in all of the patients, CGM peak of patients treated with SSA and those surgically treated, OGTT average and CGM area under concentration–time curve (AUC) for hyperglycemia of patients treated with SSA and those surgically treated, and CGM AUC for hyperglycemia of patients treated with SSA and those surgically treated. Conclusions: Our results show a significantly higher response in terms of mean and peak OGTT in patients treated with SSA, both compared to the CGM study, and compared to the group of patients receiving pegvisomant. The CGM system could represent an instrument for the evaluation of the glycemic trend of acromegalic patients.


2009 ◽  
Vol 11 (7) ◽  
pp. 457-460 ◽  
Author(s):  
Daisuke Tsujino ◽  
Rimei Nishimura ◽  
Kentaro Taki ◽  
Yumi Miyashita ◽  
Aya Morimoto ◽  
...  

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