GDm-Health is a patient-to-clinician system for the management of diabetesinpregnancy.
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Logistic regression was used to quantify the association between diabetesinpregnancy and antenatal depression.
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Background: Rates of diabetesinpregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia.
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Methods: A multi-institutional retrospective study compared pregnancy outcomes between gestational diabetes mellitus and overt diabetesinpregnancy.
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Conclusions: Overt diabetesinpregnancy is significantly associated with maternal complications such as retinopathy and pregnancy-induced hypertension.
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METHODS: This was a population-based cohort study using linked data from registers of congenital anomaly and diabetesinpregnancy.
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Results: Data were collected on 1267 women with gestational diabetes and 348 with overt diabetesinpregnancy.
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Regions with similar challenges in context and high risk populations for diabetesinpregnancy may benefit from this experience of implementing a register.
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Additional data correlating these outcomes with the types of diabetesinpregnancy are also needed to distinguish the effects of pre-gestational vs. gestational diabetes.
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Over half (57%) of survey respondents reported improvement in knowledge of the epidemiology of diabetesinpregnancy since establishment of the register.
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Aims: To determine differences in pregnancy outcomes including diabetic complications, maternal and perinatal complications between gestational diabetes mellitus and overt diabetesinpregnancy in Japan.
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Background: Diabetesinpregnancy has been associated with a paradoxically reduced risk of neonatal death in twin pregnancies.
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Conclusions: Diabetesinpregnancy appears to be "protective" against perinatal death in twin pregnancies ending in very preterm or very low birth weight births.
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Importance: Diabetesinpregnancy is associated with a 2-times to 3-times higher rate of very preterm birth than in women without diabetes.