Continuous Glucose Monitoring During Breastfeeding in Women with Recent Gestational Diabetes Mellitus

2012 ◽  
Vol 14 (7) ◽  
pp. 576-582 ◽  
Author(s):  
Antonietta Colatrella ◽  
Marialuisa Framarino ◽  
Vincenzo Toscano ◽  
Marzia Bongiovanni ◽  
Camilla Festa ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring

Gestational diabetes mellitus and continuous glucose monitoring system. A prospective study.

2018 ◽  
Author(s):  
Rosa Marquez-Pardo ◽  
Maria-Gloria Baena-Nieto ◽  
Lourdes Garcia-Garcia-Doncel ◽  
Concepcion Cruzado-Begines ◽  
Isabel-Maria Torres-Barea
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Prospective Study ◽  
Monitoring System ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Continuous Glucose Monitoring System ◽  
System A ◽  
A Prospective Study

scholarly journals Glycaemic Variability and Risk Factors of Pregnant Women with and without Gestational Diabetes Mellitus Measured by Continuous Glucose Monitoring

2021 ◽  
Vol 18 (7) ◽  
pp. 3402
Author(s):  
Martina Gáborová ◽  
Viera Doničová ◽  
Ivana Bačová ◽  
Mária Pallayová ◽  
Martin Bona ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Glycaemic Control ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Target Range ◽  
Glycaemic Variability

Background: The aim of the study was to compare the continuous glucose monitoring (CGM)-determined glycaemic variability (GV) of pregnant women with gestational diabetes mellitus (GDM) and without GDM (CG; control group). The secondary aim was to evaluate the association between risk factors of diabetes in pregnancy and parameters of glyceamic control. Methods: Demographic, biometric and biochemical parameters were obtained for pregnant women (20–38 years old) who after an oral glucose tolerance test were examined by 7-day continuous glucose monitoring using a iPro®2 Professional CGM. Results: The differences in GV between women with GDM and CG compared by total area under glucose curve (total AUC, (mmol·day/L) was statistically significant (p = 0.006). Other parameters of glycaemic control such as mean glucose, standard deviation, coefficient of variation, J-index, % time-above target range 7.8 mmol/L (%TAR), % time-in range 3.5–7.8 mmol/L (%TIR), time-below target range 3.5 mmol/L (%TBR), glycated haemoglobin were not significantly different in the study groups. Risk factors (a family history of diabetes, pre-pregnancy BMI, higher weight gain and age) correlated with parameters of glycaemic control. Conclusions: We found a significant difference in GV of women with and without GDM by total AUC determined from CGM. TIR metrics were close to significance. Our work points at an increased GV in relation to the risk factors of GDM. Pregnant women with risk factors have higher probability of severe GV with its consequences on maternal and fetal health state.

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