scholarly journals Potentialities of modern glucose monitoring devices during pregnancy

2020 ◽  
Vol 4 (6) ◽  
pp. 352-357
Author(s):  
F.O. Ushanova ◽  
◽  
T.Yu. Demidova ◽  
Keyword(s):  
Gestational Diabetes ◽  
Pregnant Women ◽  
Carbohydrate Metabolism ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring ◽  
Nocturnal Hypoglycemia ◽  
Glucose Levels ◽  
Monitoring Technologies ◽  
Diabetes Gestational ◽  
Monitoring Devices

Currently, the management of pregnant women with carbohydrate metabolism disorders is challenging due to the high risk of unfavorable events both for the mother and the child even in insignificant deviations from the target value. In addition to the conventional methods of self-monitoring, continuous glucose monitoring (CGM) is an important tool to control diabetes. CGM in pregnant women provides the detailed information on the type and trends of the changes in blood glucose levels and the fluctuations of glucose levels and also identifies the episodes of latent nocturnal hypoglycemia and postprandial hyperglycemia. The analysis of CGM data allows for correcting insulin therapy, taking a decision on its initiation, and modifying diet and exercise plan. Multiple studies demonstrate the efficacy of CGM in terms of compensating manifest diabetes. As to gestational diabetes, the eligibility of modern glucose monitoring technologies for the prevention of various complications is still controversial. Further studies on the potential use of these devices in gestational diabetes could provide a basis for increasing their application in routine clinical practice. This will improve the management of pregnant women with carbohydrate metabolism disorders.KEYWORDS: diabetes, gestational diabetes, continuous glucose monitoring, flash monitoring, pregnancy, macrosomia, self-monitoring.FOR CITATION: Ushanova F.O., Demidova T.Yu. Potentialities of modern glucose monitoring devices during pregnancy. Russian Medical Inquiry. 2020;4(6):352–357. DOI: 10.32364/2587-6821-2020-4-6-352-357.

scholarly journals Do pregnant women with gestational diabetes need continuous glucose monitoring?

The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S77
Author(s):  
Song-Ying Shen ◽  
Justina Zurauskiene ◽  
Dong-Mei Wei ◽  
Nian-Nian Chen ◽  
Jin-Hua Lu ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Pregnant Women ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring

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.

Continuous Glucose Monitoring and Glycemic Patterns in Pregnant Women with Gestational Diabetes Mellitus

2020 ◽  
Vol 22 (4) ◽  
pp. 271-277
Author(s):  
Rosa Márquez-Pardo ◽  
Isabel Torres-Barea ◽  
Juan-Antonio Córdoba-Doña ◽  
Concepcion Cruzado-Begines ◽  
Lourdes García-García-Doncel ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Continuous Glucose Monitoring ◽  
Glucose Monitoring

scholarly journals Continuous glucose monitoring in obese pregnant women with no hyperglycemia on glucose tolerance test

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0253047
Author(s):  
Rosa Maria Rahmi ◽  
Priscila de Oliveira ◽  
Luciano Selistre ◽  
Paulo Cury Rezende ◽  
Gabriela Neuvald Pezzella ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Glucose Tolerance ◽  
Pregnant Women ◽  
Continuous Glucose Monitoring ◽  
Glucose Tolerance Test ◽  
Glucose Monitoring ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Glucose Levels ◽  
Blood Glucose Levels

Objective The objective of the present study was to compare 24-hour glycemic levels between obese pregnant women with normal glucose tolerance and non-obese pregnant women. Methods In the present observational, longitudinal study, continuous glucose monitoring was performed in obese pregnant women with normal oral glucose tolerance test with 75 g of glucose between the 24th and the 28th gestational weeks. The control group (CG) consisted of pregnant women with normal weight who were selected by matching the maternal age and parity with the same characteristics of the obese group (OG). Glucose measurements were obtained during 72 hours. Results Both the groups were balanced in terms of baseline characteristics (age: 33.5 [28.7–36.0] vs. 32.0 [26.0–34.5] years, p = 0.5 and length of pregnancy: 25.0 [24.0–25.0] vs. 25.5 [24.0–28.0] weeks, p = 0.6 in the CG and in the OG, respectively). Pre-breakfast glycemic levels were 77.77 ± 10.55 mg/dL in the CG and 82.02 ± 11.06 mg/dL in the OG (p<0.01). Glycemic levels at 2 hours after breakfast were 87.31 ± 13.10 mg/dL in the CG and 93.48 ± 18.74 mg/dL in the OG (p<0.001). Daytime blood glucose levels were 87.6 ± 15.4 vs. 93.1 ± 18.3 mg/dL (p<0.001) and nighttime blood glucose levels were 79.3 ± 15.8 vs. 84.7 ± 16.3 mg/dL (p<0.001) in the CG and in the OG, respectively. The 24-hour, daytime, and nighttime values of the area under the curve were higher in the OG when compared with the CG (85.1 ± 0.16 vs. 87.9 ± 0.12, 65.6 ± 0.14 vs. 67.5 ± 0.10, 19.5 ± 0.07 vs. 20.4 ± 0.05, respectively; p<0.001). Conclusion The results of the present study showed that obesity in pregnancy was associated with higher glycemic levels even in the presence of normal findings on glucose tolerance test.

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