New Glycemic Control Targets In Pregnancy May Be Needed

2006 ◽  
Vol 36 (14) ◽  
pp. 39
Author(s):  
Jeff Evans
Keyword(s):  
Glycemic Control ◽  
In Pregnancy

PO-31 EFFECT OF POOR GLYCEMIC CONTROL ON ARTERIAL STIFFNESS IN PREGNANCY

2016 ◽  
Vol 16 (C) ◽  
pp. 97
Author(s):  
Kim Phan ◽  
Yessica-Haydee Gomez ◽  
Mohamed Salah Al-azzawi ◽  
Amira El-Messidi ◽  
Stella S. Daskalopoulou
Keyword(s):  
Glycemic Control ◽  
Arterial Stiffness ◽  
Poor Glycemic Control ◽  
In Pregnancy

scholarly journals Clinical Effectiveness of Different Technologies for Diabetes in Pregnancy: Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Claudia Eberle ◽  
Maxine Loehnert ◽  
Stefanie Stichling
Keyword(s):  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Clinical Effectiveness ◽  
Neonatal Outcomes ◽  
Diabetes In Pregnancy ◽  
Pregnancy And Birth ◽  
In Pregnancy

BACKGROUND Hyperglycemia in pregnancy occurs worldwide and is closely associated with health issues in women and their offspring, such as pregnancy and birth complications, respectively, as well as comorbidities, such as metabolic and cardiovascular diseases. To optimize the management of diabetic pregnancies, sustainable strategies are urgently needed. Investigation of constantly evolving technologies for diabetes that help to manage pregnancy and health is required. OBJECTIVE We aimed to conduct a systematic review to assess the clinical effectiveness of technologies for diabetes in pregnancy. METHODS Relevant databases including MEDLINE (PubMed), Cochrane Library, Embase, CINAHL, and Web of Science Core Collection were searched in September 2020 for clinical studies (2008-2020). Findings were organized by type of diabetes, type of technology, and outcomes (glycemic control, pregnancy- and birth-related outcomes, and neonatal outcomes). Study quality was assessed using Effective Public Health Practice Project criteria. RESULTS We identified 15 randomized controlled trials, 3 randomized crossover trials, 2 cohort studies, and 2 controlled clinical trials. Overall, 9 studies focused on type 1 diabetes, 0 studies focused on gestational diabetes, and 3 studies focused on both type 1 diabetes and type 2 diabetes. We found that 9 studies were strong quality, 11 were moderate quality, and 2 were weak quality. Technologies for diabetes seemed to have particularly positive effects on glycemic control in all types of diabetes, shown by some strong and moderate quality studies. Positive trends in pregnancy-related, birth-related, and neonatal outcomes were observed. CONCLUSIONS Technologies have the potential to effectively improve the management of diabetes during pregnancy. Further research on the clinical effectiveness of these technologies is needed, especially in pregnant women with type 2 diabetes.

scholarly journals Mutations in transcription factor as rare causes of diabetes in pregnancy

2019 ◽  
Vol 22 (3) ◽  
pp. 274-280 ◽  
Author(s):  
Natalia A. Zubkova ◽  
Fatima F. Burumkulova ◽  
Vasily A. Petrukhin ◽  
Margarita A. Plechanova ◽  
Anton E. Panov ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Glycemic Control ◽  
Pregnant Women ◽  
Clinical Characteristics ◽  
Diabetes In Pregnancy ◽  
Perinatal Complications ◽  
Nuclear Factors ◽  
Hepatocyte Nuclear Factors ◽  
Hnf1a Gene ◽  
In Pregnancy

MODY1 and MODY3 represent rare causes of diabetes in pregnancy. Establishing a molecular diagnosis of MODY1 or MODY3 during pregnancy may be important for minimizing risk of perinatal complications and for improving glycemic control after pregnancy. The objective of the study was to evaluate the contribution of mutations in HNF4A and HNF1A genes in development of diabetes in pregnancy and to describe clinical characteristics of diabetes in pregnancy associated with these mutations. 230 pregnant women (20-43 years) with different type of glucose intolerance complicated during their current pregnancy were included in the study. A custom NGS panel targeting 28 diabetes causative genes was used for sequencing. Heterozygous mutations in HNF4A and HNF1A genes were detected in 3% of cases. Mutations p.I271T in HNF4A gene and p.L148F, p.Y265C, p.G288W in HNF1A gene were novel. This study includes a description of patients with pregnancy diabetes due to mutations in hepatocyte nuclear factors.

1,5 Anhydroglucitol Evaluation as Glycemic Control Parameter of Diabetes Mellitus in Pregnancy

2017 ◽  
Vol 68 (3) ◽  
pp. 1527-1532
Author(s):  
Helmy M. Elsayed ◽  
Mohammed E. M. Ibrahim ◽  
Mohammed S. L. El Safty
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Control Parameter ◽  
In Pregnancy

scholarly journals A study of neonatal outcome in infants born to diabetic mothers at a tertiary care hospital

2018 ◽  
Vol 5 (2) ◽  
pp. 489
Author(s):  
Syeda Kausar Anjum ◽  
Yashodha H. T.
Keyword(s):  
Glycemic Control ◽  
Gestational Diabetes ◽  
Tertiary Care Hospital ◽  
Heart Diseases ◽  
Tertiary Care ◽  
Diabetic Mother ◽  
Care Hospital ◽  
Increased Risk ◽  
Diabetic Mothers ◽  
In Pregnancy

Background: Diabetes is the most common medical complication in pregnancy, affecting about 0.5-5% of all pregnancies. In developing countries, management of diabetes in pregnancy still poses a challenge. Infants of diabetic mother are at increased risk of periconceptional, fetal, neonatal and long-term complications. Methods: It was a prospective hospital-based study conducted in tertiary care hospital, Bangalore during a period of one year to assess the outcome in infants of diabetic mother and association of various complications to maternal glycemic status. Results: The incidence of diabetes in pregnant mothers in our hospital was 2.8%. Diabetic mothers with gestational diabetes mellitus (GDM) were 86 (86%) and with pre-gestational diabetes were 14 (14%). Various complications like hypoglycemia, hypocalcemia, polycythemia, hyperbilirubinemia, macrosomia, prematurity, respiratory distress syndrome, TTNB, congenital heart diseases were observed in infants of diabetic mothers. Among them hypoglycemia was the most commonly observed complication with frequency of 54%, followed by hypocalcemia which was seen in 43%, polycythemia in 35% and macrosomia in 15%. Significant association was found between various complications and glycemic control in mothers.Conclusions: High frequency of complications is seen in infants born to diabetic mothers. Hence, these babies should be delivered at hospitals where special neonatal care is available for management of high risks babies. Screening for GDMs should be performed in all pregnant women. Strict glycemic control in mother, planned pregnancy, proper antenatal care and strict monitoring in babies is required to prevent morbidity and mortality in infants of diabetic mother.

scholarly journals A prospective study of the relationships between movement and glycemic control during day and night in pregnancy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Masoud Behravesh ◽  
Juan Fernandez-Tajes ◽  
Angela C. Estampador ◽  
Tibor V. Varga ◽  
Ómar S. Gunnarsson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Glycemic Control ◽  
Sleep Disturbance ◽  
Time Of Day ◽  
Rate Of Change ◽  
Total Movement ◽  
Interaction Term ◽  
Continuous Glucose Monitors ◽  
A Prospective Study ◽  
In Pregnancy

AbstractBoth disturbed sleep and lack of exercise can disrupt metabolism in pregnancy. Accelerometery was used to objectively assess movement during waking (physical activity) and movement during sleeping (sleep disturbance) periods and evaluated relationships with continuous blood glucose variation during pregnancy. Data was analysed prospectively. 15-women without pre-existing diabetes mellitus wore continuous glucose monitors and triaxial accelerometers from February through June 2018 in Sweden. The relationships between physical activity and sleep disturbance with blood glucose rate of change were assessed. An interaction term was fitted to determine difference in the relationship between movement and glucose variation, conditional on waking/sleeping. Total movement was inversely related to glucose rate of change (p < 0.001, 95% CI (− 0.037, − 0.026)). Stratified analyses showed total physical activity was inversely related to glucose rate of change (p < 0.001, 95% CI (− 0.040, − 0.028)), whereas sleep disturbance was not related to glucose rate of change (p = 0.07, 95% CI (< − 0.001, 0.013)). The interaction term was positively related to glucose rate of change (p < 0.001, 95% CI (0.029, 0.047)). This study provides temporal evidence of a relationship between total movement and glycemic control in pregnancy, which is conditional on time of day. Movement is beneficially related with glycemic control while awake, but not during sleep.

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