scholarly journals Global estimates of incidence of type 1 diabetes in children and adolescents: Results from the International Diabetes Federation Atlas, 10th edition

Author(s):  
Graham D. Ogle ◽  
Steven James ◽  
Dana Dabelea ◽  
Catherine Pihoker ◽  
Jannet Svennson ◽  
...  
2020 ◽  
Vol 33 (7) ◽  
pp. 859-864
Author(s):  
Özlem Yayıcı Köken ◽  
Cengiz Kara ◽  
Gülay Can Yılmaz ◽  
Hasan Murat Aydın

AbstractObjectivesTo determine the clinical utility of the estimated glucose disposal rate (eGDR) for predicting metabolic syndrome (MetS) in children and adolescents with type-1 diabetes (T1D).MethodsModified criteria of the International Diabetes Federation were used to determine MetS in children and adolescents between 10 and 18 years of age with T1D. The eGDR, a validated marker of insulin sensitivity, was calculated in two different ways using either the waist-to-hip ratio (WHR) or waist circumference (WC). Receiver operating characteristic (ROC) curve analysis was performed to ascertain cut-off levels of the eGDR to predict MetS.ResultsA total of 200 patients (52% male) with T1D were enrolled in the study. The prevalence of MetS was 10.5% (n: 21). Lower eGDR levels, indicating greater insulin resistance, were found in T1D patients with MetS when compared to those without (6.41 ± 1.86 vs. 9.50 ± 1.34 mg/kg/min) (p < 0.001). An eGDRWHR cut-off of 8.44 mg/kg/min showed 85.7% sensitivity and 82.6% specificity, while an eGDRWC cut-off of 8.16 mg/kg/min showed 76.1% sensitivity and 92.1% specificity for MetS diagnosis. The diagnostic odds ratio was 28.6 (7.3–131.0) for the eGDRWHR cut-off and 37.7 (10.8–140.8) for the eGDRWC cut-off.ConclusionsThe eGDR is a mathematical formula that can be used in clinical practice to detect the existence of MetS in children and adolescents with T1D using only the WC, existence of hypertension, and hemoglobin A1c levels. An eGDR calculated using the WC could be a preferred choice due to its higher diagnostic performance.


2013 ◽  
Author(s):  
Parthasarathy Lavanya ◽  
Khadilkar Anuradha ◽  
Ekbote Veena ◽  
Chiplonkar Shashi ◽  
Mughal Zulf ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1063-P
Author(s):  
LAYA EKHLASPOUR ◽  
GREGORY P. FORLENZA ◽  
CARI BERGET ◽  
KEISHA R. BIRD ◽  
KIMBERLY A. ENGLERT ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 795-P
Author(s):  
DALIA DALLE ◽  
SARINE G. SHAHMIRIAN ◽  
MARYANN O'RIORDAN ◽  
TERESA N. ZIMMERMAN ◽  
JAMIE R. WOOD

2017 ◽  
Vol 96 (1) ◽  
pp. 175-180 ◽  
Author(s):  
I. O. Schederkina ◽  
I. G. Rybkina ◽  
E. E. Petryaykina ◽  
I. E. Koltunov

2003 ◽  
Vol 79 (3) ◽  
pp. 253-8 ◽  
Author(s):  
Deisi M. Vargas ◽  
Tatiana Rigotti ◽  
Cibelli N. R. M. Gütz ◽  
Maria Claudia Schmitt-Lobe ◽  
Jucílio de A. Fernades

Sign in / Sign up

Export Citation Format

Share Document