Cost effective strategies to identify all women with gestationaldiabetes are needed.
2
There was a high prevalence of gestationaldiabetes in the Chinese population.
3
Our primary outcome parameter was the intergroup incidence of gestationaldiabetes mellitus.
4
Meta-analysis found women with gestationaldiabetes to be significantly shorter than others.
5
Maternal obesity is associated with increased risk of gestationaldiabetes and other complications.
1
Our primary outcome parameter was the intergroup incidence of gestationaldiabetesmellitus.
2
Moreover, it is associated with gestationaldiabetesmellitus, which increases the risk of these complications.
3
A total of 174 women had gestationaldiabetesmellitus.
4
These findings call for large-scale screening to further explore risk factors to prevent gestationaldiabetesmellitus.
5
Aims: To examine the association between sleep disturbances during pregnancy and risk of gestationaldiabetesmellitus.
1
Objective: The goal was to examine the carbohydrate tolerance and cardiometabolic risk among children exposed to maternalgestationaldiabetesmellitus in utero.
1
GDm-Health is a patient-to-clinician system for the management of diabetesinpregnancy.
2
Logistic regression was used to quantify the association between diabetesinpregnancy and antenatal depression.
3
Background: Rates of diabetesinpregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia.
4
Methods: A multi-institutional retrospective study compared pregnancy outcomes between gestational diabetes mellitus and overt diabetesinpregnancy.
5
Conclusions: Overt diabetesinpregnancy is significantly associated with maternal complications such as retinopathy and pregnancy-induced hypertension.
Ús de gdm en anglès
1
Main outcome measure: The development of a clinical prediction rule for GDM.
2
GDM may be involved in the foetal programming of long-term cardiovascular health.
3
Study design: Secondary analysis of a multicenter treatment trial of mild GDM.
4
Therefore we compared SAF at diagnosis in GDM patients with normal pregnancy.
5
Patients underwent CGM within 3 weeks of receiving a diagnosis of GDM.
6
Short stature and smoking in pregnancy were additional risk factors for GDM.
7
Studies whose subjects were diagnosed with GDM prior to intervention were excluded.
8
Maternal characteristics and medical history were investigated to evaluate associations with GDM.
9
Population: Nine hundred and ninety-five consecutive pregnant women underwent screening for GDM.
10
GDm-Health is a patient-to-clinician system for the management of diabetes in pregnancy.
11
Studies that compared women diagnosed with GDM and healthy controls were included.
12
Our findings also emphasize the heterogeneity of factors which predispose to GDM.
13
A later diagnosis of GDM is more prevalent in presumed low-risk pregnancies.
14
The miR-181a was down-regulated only in umbilical-cord blood cells of GDM neonates.
15
Further research could aim to report data for standardised GDM outcomes.
16
Conclusions: An elevated NLR level is a powerful and independent predictor of GDM.